"Python Dictionary: The Key to Efficient Data Storage, Manipulation, and Versatile Programming in Python - Unleash the Power of Key-Value Pairs for Dynamic Mapping and Streamlined Coding"
0 likes45 views
A Python dictionary is a powerful data structure that stores key-value pairs. It's versatile, efficient, and widely used in Python programming for its simplicity and flexibility. Let's delve into a comprehensive description of Python dictionaries, covering their definition, syntax, operations, methods, use cases, and more. ### Definition: A dictionary in Python is an unordered collection of items. Each item is a pair of a key and its corresponding value. Unlike sequences such as lists or tuples, dictionaries are indexed by keys, not by a range of numbers. ### Syntax: Dictionaries are defined using curly braces `{}`. Each item in a dictionary is written as a key-value pair separated by a colon `:`. Keys are unique within a dictionary, while values can be of any data type, including integers, strings, lists, tuples, other dictionaries, or even functions. Example: ```python my_dict = {'name': 'John', 'age': 30, 'city': 'New York'} ``` ### Operations: 1. **Accessing Values:** You can access the value associated with a key using square brackets `[]`. Example: ```python print(my_dict['name']) # Output: John ``` 2. **Updating Values:** You can update the value associated with a key by assigning a new value to that key. Example: ```python my_dict['age'] = 31 ``` 3. **Adding New Items:** You can add new key-value pairs to a dictionary by assigning a value to a new key. Example: ```python my_dict['gender'] = 'Male' ``` 4. **Removing Items:** You can remove key-value pairs from a dictionary using the `del` keyword or the `pop()` method. Example: ```python del my_dict['city'] my_dict.pop('age') ``` ### Methods: Python provides several built-in methods to perform various operations on dictionaries: 1. `clear()`: Removes all items from the dictionary. 2. `copy()`: Returns a shallow copy of the dictionary. 3. `get(key[, default])`: Returns the value associated with the specified key, or a default value if the key is not found. 4. `items()`: Returns a view object that displays a list of a dictionary's key-value pairs. 5. `keys()`: Returns a view object that displays a list of the dictionary's keys. 6. `values()`: Returns a view object that displays a list of the dictionary's values. 7. `pop(key[, default])`: Removes the item with the specified key and returns its value. If the key is not found, it returns the default value. 8. `popitem()`: Removes and returns the last inserted key-value pair. 9. `update()`: Updates the dictionary with the key-value pairs from another dictionary or an iterable of key-value pairs. ### Use Cases: 1. **Storing Data:** Dictionaries are commonly used to store data in a structured format, especially when the data has associated labels or categories. 2. **Configuration Settings:** Dictionaries are useful for storing configuration settings in Python applications. 3. **Caching:** Dictionaries can be used to cache the results of expensive function calls for improved performance.
1 of 16
Download to read offline
!["""
To count the number of occurrences of each character of a message
entered by the user.
"""
def cnt(msg):
lc={} #empty dictionary
for l in msg:
lc[l]=lc.get(l,0)+1
print(lc)
msg=input("Enter a message ")
cnt(msg)](https://image.slidesharecdn.com/dictionarypython3-240417123823-10105174/85/Python-Dictionary-The-Key-to-Efficient-Data-Storage-Manipulation-and-Versatile-Programming-in-Python-Unleash-the-Power-of-Key-Value-Pairs-for-Dynamic-Mapping-and-Streamlined-Coding-7-320.jpg)
!["""
Create a dictionary with names of studenst and marks in two papers.Create a dictionaryfinal which has names and total marks and also find the
topper.
"""
result={'Rahul':[78,89],
'Pranamika':[89,87],
'Ashish':[79,88],
'Anshul':[90,67]}
total=0
final=result.copy()
for key,val in result.items():
total=sum(val)
final[key]=total
print(final)
hig=0
Topper=''
for key,val in final.items():
if val>hig:
hig=val
Topper=key
print("Topper is :" , Topper, "securing ", hig, "marks")](https://image.slidesharecdn.com/dictionarypython3-240417123823-10105174/85/Python-Dictionary-The-Key-to-Efficient-Data-Storage-Manipulation-and-Versatile-Programming-in-Python-Unleash-the-Power-of-Key-Value-Pairs-for-Dynamic-Mapping-and-Streamlined-Coding-8-320.jpg)
!["""
Change value of a key in a nested dictionary
"""
dict = {
'emp1': {'name': 'Akash', 'salary': 15500},
'emp2': {'name': 'Ajay', 'salary': 18000},
'emp3': {'name': 'Vijay', 'salary': 16500}
}
dict['emp2']['salary'] = 15500
print(dict)](https://image.slidesharecdn.com/dictionarypython3-240417123823-10105174/85/Python-Dictionary-The-Key-to-Efficient-Data-Storage-Manipulation-and-Versatile-Programming-in-Python-Unleash-the-Power-of-Key-Value-Pairs-for-Dynamic-Mapping-and-Streamlined-Coding-10-320.jpg)
![# Program to print sum of key-value # pairs in dictionary
dict = {1: 34, 2: 29, 3: 49}
sumval = []
# Traverse the dictionary
for keys in dict:
sumval.append(keys + dict[keys])
# Print the list
print("Key-value sum =",sumval)](https://image.slidesharecdn.com/dictionarypython3-240417123823-10105174/85/Python-Dictionary-The-Key-to-Efficient-Data-Storage-Manipulation-and-Versatile-Programming-in-Python-Unleash-the-Power-of-Key-Value-Pairs-for-Dynamic-Mapping-and-Streamlined-Coding-11-320.jpg)
![# Program to remove a key from dictionary using del in Python
empage = {"Ravi" : 24, "Ashok" : 22, "Vijay" : 25 }
print("The dictionary is :", empage)
del_k = input("Enter the key to be deleted: ")
# Removing the key from dictionary
del empage[del_k]
# Printing the dictionary
print("The dictionary after deletion is : ")
print(empage)](https://image.slidesharecdn.com/dictionarypython3-240417123823-10105174/85/Python-Dictionary-The-Key-to-Efficient-Data-Storage-Manipulation-and-Versatile-Programming-in-Python-Unleash-the-Power-of-Key-Value-Pairs-for-Dynamic-Mapping-and-Streamlined-Coding-14-320.jpg)
![# Python program to sort dictionary key and values list
# Creating a list with list as values
result = {'Raju' : [88, 45, 75], 'ram' : [98, 79, 68]}
print("Initially the dictionary is " + str(result))
# Sorting dictionary
sort_res = dict()
for key in sorted(result):
sort_res[key]= sorted(result[key])
# Printing sorted dictionary
print("Dictionary aftersort of key and list value : ")
print(str(sort_res))](https://image.slidesharecdn.com/dictionarypython3-240417123823-10105174/85/Python-Dictionary-The-Key-to-Efficient-Data-Storage-Manipulation-and-Versatile-Programming-in-Python-Unleash-the-Power-of-Key-Value-Pairs-for-Dynamic-Mapping-and-Streamlined-Coding-15-320.jpg)
Ad
Recommended
Python dictionaries
Python dictionariesKrishna Nanda The document discusses Python dictionaries. Some key points:
- A dictionary in Python is an unordered collection of key-value pairs where keys must be unique and immutable, while values can be any data type.
- Dictionaries are created using curly braces {} and keys are separated from values with colons.
- Elements can be accessed, added, updated, and deleted using keys. Nested dictionaries are also supported.
- Common operations include creating, accessing, modifying dictionaries as well as nested dictionaries. User input can also be used to update dictionary values.
DICTIONARIES (1).pptx
DICTIONARIES (1).pptxKalashJain27 Here is a program to create a dictionary storing employee names and salaries and access them:
```python
# Create a dictionary to store employee data
employees = {}
# Add employee data to the dictionary
employees['e1'] = {'name': 'John', 'salary': 25000}
employees['e2'] = {'name': 'Steve', 'salary': 28000}
employees['e3'] = {'name': 'Mary', 'salary': 27000}
# Print dictionary
print(employees)
# Access employee data by key
print(employees['e1'])
# Print salary of 'Steve'
print(employees['e2']['salary'])
#
Pytho dictionaries 
Pytho dictionaries BMS Institute of Technology and Management This document discusses Python dictionaries. It defines dictionaries as mappings between keys and values, where keys can be any immutable type like strings or numbers. It provides examples of creating empty dictionaries, adding items, accessing values by key, and built-in functions like len(), get(), pop(), keys(), update(), and del. It also discusses using dictionaries to count letter frequencies in strings and to parse text files. Advanced topics covered include translating strings using maketrans() and translate(), ignoring punctuation, and converting dictionaries to lists.
Chapter 14 Dictionary.pptx
Chapter 14 Dictionary.pptxjchandrasekhar3 This document provides information about dictionaries in Python. It defines dictionaries as unordered collections of key-value pairs that provide fast lookup by key. Various dictionary methods like dict(), clear(), copy(), get(), items(), keys(), setdefault(), update(), values(), pop(), and popitem() are explained with examples. Finally, homework problems are provided involving sorting dictionaries, adding/merging keys, checking for keys, iterating with loops, generating dictionaries from numbers, and summing dictionary items.
python full notes data types string and tuple
python full notes data types string and tupleSukhpreetSingh519414 Python dictionaries allow storing data as key-value pairs. Keys must be unique and can only contain one component, while values can be of any type including integers, lists, and tuples. Dictionaries are created using curly brackets or the dict() function. Values can be accessed and modified using their keys, and elements deleted with the del keyword. Dictionary methods like cmp(), len(), and items() allow comparing dictionaries, getting the length, and accessing items as tuples. Errors occur due to syntax or logical issues, and exceptions should be handled using try/except blocks to catch errors and continue execution.
Dictionary.pptx
Dictionary.pptxRishuVerma34 The document provides an introduction to dictionaries in Python. It defines dictionaries as a data structure that maps keys to values, similar to a real-world dictionary. It describes that dictionaries use curly brackets, with keys and values separated by colons and elements separated by commas. Keys must be immutable types like strings or numbers, while values can be any type, including lists. The document also explains how to access and print values, update and add new key-value pairs, delete elements, clear the entire dictionary, and delete the dictionary entirely.
Unit 1(Lesson7).pptx
Unit 1(Lesson7).pptxNiteshKumar862859 A dictionary is an unordered collection of key-value pairs where keys must be unique but values can change. Dictionaries are optimized to retrieve values quickly when the key is known. They are represented using curly braces with key-value pairs separated by commas. Dictionaries can be created using the built-in dict() function or by direct assignment and allow mutable values. Keys must be an immutable data type and dictionaries themselves are mutable.
Python03 course in_mumbai
Python03 course in_mumbaivibrantuser This document discusses dictionaries in Python. It describes dictionaries as mappings between keys and values where keys can be any immutable data type and values can be any data type. It covers creating dictionaries using the dict() function and literal notation, accessing values using keys or getting default values, and various dictionary methods like keys(), values(), and items(). Examples demonstrate using dictionaries to count word frequencies and invert a dictionary to map values to a list of keys. The document also discusses using tuples as dictionary keys.
Ch 7 Dictionaries 1.pptx
Ch 7 Dictionaries 1.pptxKanchanaRSVVV This document discusses dictionaries in Python. It defines dictionaries as unordered collections of key-value pairs that are indexed by keys rather than integers. It covers how to create, access, modify, traverse, and delete dictionary elements as well as built-in functions like len(), keys(), values(), items(), get(), update(), pop(), and more. Examples are provided to demonstrate counting character frequencies in a string and storing employee names and salaries in a dictionary.
Python Dynamic Data type List & Dictionaries
Python Dynamic Data type List & DictionariesRuchiNagar3 Python Dynamic Data Types
Lists & Dictionaries
Chapter 16 Dictionaries
Chapter 16 DictionariesPraveen M Jigajinni This document discusses dictionaries in Python. It begins by defining a dictionary as an unordered collection of key-value pairs that provides fast lookup by key. Keys must be immutable data types. It then explains how to create dictionaries using curly brackets or the dict() function. Several built-in dictionary methods like get(), items(), keys(), update(), and values() are described along with their functions. The document ends with examples of class work and a practice test on dictionaries.
Farhana shaikh webinar_dictionaries
Farhana shaikh webinar_dictionariesFarhana Shaikh A dictionary is used to store player details like name, age, height and experience for a cricket team. Players under 19 are extracted to a new dictionary. 11 players are selected from the under 19 dictionary based on experience. The tallest player is chosen as the captain. The team and captain details are displayed.
PE1 Module 4.ppt
PE1 Module 4.pptbalewayalew This document provides an overview of functions and dictionaries in Python. It defines a function as reusable block of code that takes arguments, performs computations, and returns a result. Functions provide modularity and code reusability. The document outlines how to define functions using the def keyword, pass arguments, return values, and call functions. It also discusses function scopes, default argument values, and that functions without a return statement return None. The document then defines dictionaries as mutable containers that store key-value pairs, and describes how to access, update, and delete dictionary elements. It notes some properties of dictionary keys including no duplicate keys and that keys must be immutable. Finally, it lists some built-in functions and methods for working with dictionaries
Dictionary
DictionaryPooja B S The document discusses dictionaries in Python. It explains that a dictionary is a collection of unordered key-value pairs where keys must be unique. Keys can be strings, numbers, or tuples, while values can be any data type. Dictionaries allow accessing values using keys. Common dictionary operations include adding/updating items, checking if a key exists, getting values, and looping through keys and key-value pairs. The document also provides examples of using dictionaries to count word frequencies in a text file by parsing and removing punctuation.
Dictionaries in python
Dictionaries in pythonJayanthiNeelampalli The dictionary is a built-in Python data type that maps keys to values. It allows storing related data in key-value pairs. An example dictionary stores information about a college course with keys like 'branch', 'year', and values like 'aero', 'second'. Dictionaries have built-in methods like dict.keys() to access just the keys, dict.values() to access just the values, and dict.items() to access both in tuple pairs. The split() and join() string methods allow splitting or joining strings on a specified delimiter like a space, comma, or colon.
An Introduction to Tuple List Dictionary in Python
An Introduction to Tuple List Dictionary in Pythonyashar Aliabasi Introduction to Tuple and List and Dictionary in Python. Try to demonstrate useful concepts with making question marks in the reader's head!
Python lab basics
Python lab basicsAbi_Kasi Python is a high-level, interpreted, interactive, and object-oriented scripting language. It can be used as both a scripting language and for object-oriented programming. Python code is automatically compiled to byte code and executed. It supports data types like numbers, strings, lists, tuples, dictionaries, booleans, and sets. Common operations include concatenation, slicing, repetition, indexing, and more. User input can be obtained using functions like input() and raw_input().
PYTHON.pdf
PYTHON.pdfLovelyLabordoParacha This document provides an introduction to Python programming concepts such as keywords, identifiers, comments, variables, data types, and literals. It defines keywords as reserved words in Python that have special meanings. Identifiers are names given to variables and other objects. Comments are notes for making code more readable. Variables are containers that hold data values. Literals represent fixed values like numbers and strings. The document also discusses Python data types like integers, floats, booleans, lists, tuples, dictionaries and sets.
UNIT 1 - Revision of Basics - II.pptx
UNIT 1 - Revision of Basics - II.pptxNishanSidhu2 The document discusses tuples, lists, and dictionaries in Python. Tuples are immutable sequences that are created using parentheses. Lists are mutable sequences that can be modified using methods like append(). Dictionaries are collections of key-value pairs that are indexed by keys and allow for adding, updating and deleting elements. Both lists and tuples can be traversed using for loops, while dictionaries are traversed by their keys.
Arrays and function basic c programming notes
Arrays and function basic c programming notesGOKULKANNANMMECLECTC The document discusses arrays and functions in C programming. It defines arrays as collections of similar data items stored under a common name. It describes one-dimensional and two-dimensional arrays, and how they are declared and initialized. It also discusses strings as arrays of characters. The document then defines functions as sets of instructions to perform tasks. It differentiates between user-defined and built-in functions, and describes the elements of functions including declaration, definition, and calling.
2 UNIT CH3 Dictionaries v1.ppt
2 UNIT CH3 Dictionaries v1.ppttocidfh - Dictionaries in Python are mutable and contain key-value pairs, with keys being unique and immutable.
- Common dictionary methods include keys(), values(), items(), get(), update(), pop(), popitem() etc.
- Dictionaries can be iterated over using for loops and sorted. Operations like merging, concatenation, checking presence of keys are also possible on dictionaries.
Dictionaries and Sets
Dictionaries and SetsMunazza-Mah-Jabeen A dictionary in Python is a collection of key-value pairs where keys must be unique and immutable. It allows looking up values by their associated keys similar to a real-world dictionary. Keys are used as indexes to retrieve their corresponding values. Dictionaries are mutable and unordered collections that can hold elements of different data types. Common operations on dictionaries include adding, updating, and removing key-value pairs as well as accessing elements by their keys.
Artificial Intelligence and technologys
Artificial Intelligence and technologysZainabHaneen Artificial Intelligence (AI) is advancing rapidly, transforming industries and revolutionizing the way we live and work. With AI automating tasks, making data-driven decisions, and even mimicking human intelligence, a crucial question arises—will AI replace humans entirely? While AI has proven to be highly efficient in processing large amounts of data, recognizing patterns, and performing repetitive tasks, it still lacks essential human traits like creativity, emotional intelligence, and ethical reasoning.Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, influencing industries, economies, and daily life.Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, influencing industries, economies, and daily life. From self-driving cars and AI-powered assistants like Siri and Alexa to advanced medical diagnostics and automated financial trading, AI is revolutionizing how we work and interact with technology. Artificial Intelligence (AI) is advancing rapidly, transforming industries and revolutionizing the way we live and work. With AI automating tasks, making data-driven decisions, and even mimicking human intelligence, a crucial question arises—will AI replace humans entirely? While AI has proven to be highly efficient in processing large amounts of data, recognizing patterns, and performing repetitive tasks, it still lacks essential human traits like creativity, emotional intelligence, and ethical reasoningArtificial Intelligence (AI) has emerged as one of the most transformativeMany factory jobs have been replaced by AI-powered robotics.
White-collar jobs like financial analysis and content creation are also at risk.
However, AI is also creating new job opportunities in tech and data science.Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, influencing industries, economies, and daily life. From self-driving cars and AI-powered assistants like Siri and Alexa to advanced medical diagnostics and automated financial trading, AI is revolutionizing how we work and interact with technology. Artificial Intelligence (AI) is advancing rapidly, transforming industries and revolutionizing the way we live and work. With AI automating tasks, making data-driven decisions, and even mimicking human intelligence, a crucial question arises—will AI replace humans entirely? While AI has proven to be highly efficient in processing large amounts of data, recognizing patterns, and performing repetitive tasks, it still lacks essential human traits like creativity, emotional intelligence, and ethical Reasoning artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, influencing industries, economies, and daily life.Artificial Intelligence (AI) has emerged as one of the most transformative power of artificial intelligence and technology.
Web Content Management Systems (WCMS) fa
Web Content Management Systems (WCMS) faZainabHaneen Web Content Management Systems (WCMS) face security issues like SQL injection, cross-site scripting (XSS), unauthorized access, weak authentication, plugin vulnerabilities, and data breaches. Regular updates, strong passwords, access controls, and security plugins help mitigate these risks and protect sensitive information.Security Issues in Web Content Management Systems (WCMS)
Introduction
Web Content Management Systems (WCMS) have revolutionized website development, allowing users to create, manage, and publish digital content without deep technical expertise. Popular WCMS platforms like WordPress, Joomla, and Drupal power millions of websites worldwide, providing ease of use and flexibility. However, this widespread adoption also makes WCMS a prime target for cyber threats. Security vulnerabilities in WCMS can lead to website defacement, data breaches, loss of sensitive information, and compromised user privacy.
With cyberattacks increasing in complexity, organizations must be aware of the security risks associated with WCMS. These risks include SQL injection, cross-site scripting (XSS), unauthorized access, plugin vulnerabilities, weak authentication, and data leaks. In this essay, we will explore these security issues, examine real-world incidents, and discuss best practices for securing WCMS-based websites.
Common Security Issues in WCMS
1. SQL Injection (SQLi)
SQL injection is one of the most severe vulnerabilities in WCMS. It occurs when attackers inject malicious SQL queries into input fields to manipulate the database. This can lead to unauthorized access, data theft, or even complete deletion of the database.
Example:
In 2020, a vulnerability in a popular WordPress plugin allowed attackers to inject SQL queries, exposing millions of users' personal data.
Prevention:
Use prepared statements and parameterized queries
Implement input validation and sanitization
Regularly update WCMS and plugins
2. Cross-Site Scripting (XSS)
XSS attacks allow hackers to inject malicious scripts into web pages, which execute when users visit the affected site. This can lead to session hijacking, data theft, or redirection to malicious websites.
Example:
Drupal suffered an XSS vulnerability that allowed attackers to inject scripts, leading to unauthorized access to user accounts.
Prevention:
Sanitize user inputs
Implement Content Security Policy (CSP)
Use secure coding practices
3. Unauthorized Access & Weak Authentication
Many WCMS platforms use default usernames and weak passwords, making them vulnerable to brute-force attacks. If admin credentials are compromised, attackers can gain full control over the website.
Example:
A 2021 Joomla breach occurred due to weak admin passwords, allowing hackers to deface multiple websites.
Prevention:
Enforce strong password policies
Enable two-factor authentication (2FA)
Limit login attempts
4. Plugin and Theme Vulnerabilities
Third-party plugins and themes enhance WCMS functionality but.
Ad
More Related Content
Similar to "Python Dictionary: The Key to Efficient Data Storage, Manipulation, and Versatile Programming in Python - Unleash the Power of Key-Value Pairs for Dynamic Mapping and Streamlined Coding" (20)
Unit 1(Lesson7).pptx
Unit 1(Lesson7).pptxNiteshKumar862859 A dictionary is an unordered collection of key-value pairs where keys must be unique but values can change. Dictionaries are optimized to retrieve values quickly when the key is known. They are represented using curly braces with key-value pairs separated by commas. Dictionaries can be created using the built-in dict() function or by direct assignment and allow mutable values. Keys must be an immutable data type and dictionaries themselves are mutable.
Python03 course in_mumbai
Python03 course in_mumbaivibrantuser This document discusses dictionaries in Python. It describes dictionaries as mappings between keys and values where keys can be any immutable data type and values can be any data type. It covers creating dictionaries using the dict() function and literal notation, accessing values using keys or getting default values, and various dictionary methods like keys(), values(), and items(). Examples demonstrate using dictionaries to count word frequencies and invert a dictionary to map values to a list of keys. The document also discusses using tuples as dictionary keys.
Ch 7 Dictionaries 1.pptx
Ch 7 Dictionaries 1.pptxKanchanaRSVVV This document discusses dictionaries in Python. It defines dictionaries as unordered collections of key-value pairs that are indexed by keys rather than integers. It covers how to create, access, modify, traverse, and delete dictionary elements as well as built-in functions like len(), keys(), values(), items(), get(), update(), pop(), and more. Examples are provided to demonstrate counting character frequencies in a string and storing employee names and salaries in a dictionary.
Python Dynamic Data type List & Dictionaries
Python Dynamic Data type List & DictionariesRuchiNagar3 Python Dynamic Data Types
Lists & Dictionaries
Chapter 16 Dictionaries
Chapter 16 DictionariesPraveen M Jigajinni This document discusses dictionaries in Python. It begins by defining a dictionary as an unordered collection of key-value pairs that provides fast lookup by key. Keys must be immutable data types. It then explains how to create dictionaries using curly brackets or the dict() function. Several built-in dictionary methods like get(), items(), keys(), update(), and values() are described along with their functions. The document ends with examples of class work and a practice test on dictionaries.
Farhana shaikh webinar_dictionaries
Farhana shaikh webinar_dictionariesFarhana Shaikh A dictionary is used to store player details like name, age, height and experience for a cricket team. Players under 19 are extracted to a new dictionary. 11 players are selected from the under 19 dictionary based on experience. The tallest player is chosen as the captain. The team and captain details are displayed.
PE1 Module 4.ppt
PE1 Module 4.pptbalewayalew This document provides an overview of functions and dictionaries in Python. It defines a function as reusable block of code that takes arguments, performs computations, and returns a result. Functions provide modularity and code reusability. The document outlines how to define functions using the def keyword, pass arguments, return values, and call functions. It also discusses function scopes, default argument values, and that functions without a return statement return None. The document then defines dictionaries as mutable containers that store key-value pairs, and describes how to access, update, and delete dictionary elements. It notes some properties of dictionary keys including no duplicate keys and that keys must be immutable. Finally, it lists some built-in functions and methods for working with dictionaries
Dictionary
DictionaryPooja B S The document discusses dictionaries in Python. It explains that a dictionary is a collection of unordered key-value pairs where keys must be unique. Keys can be strings, numbers, or tuples, while values can be any data type. Dictionaries allow accessing values using keys. Common dictionary operations include adding/updating items, checking if a key exists, getting values, and looping through keys and key-value pairs. The document also provides examples of using dictionaries to count word frequencies in a text file by parsing and removing punctuation.
Dictionaries in python
Dictionaries in pythonJayanthiNeelampalli The dictionary is a built-in Python data type that maps keys to values. It allows storing related data in key-value pairs. An example dictionary stores information about a college course with keys like 'branch', 'year', and values like 'aero', 'second'. Dictionaries have built-in methods like dict.keys() to access just the keys, dict.values() to access just the values, and dict.items() to access both in tuple pairs. The split() and join() string methods allow splitting or joining strings on a specified delimiter like a space, comma, or colon.
An Introduction to Tuple List Dictionary in Python
An Introduction to Tuple List Dictionary in Pythonyashar Aliabasi Introduction to Tuple and List and Dictionary in Python. Try to demonstrate useful concepts with making question marks in the reader's head!
Python lab basics
Python lab basicsAbi_Kasi Python is a high-level, interpreted, interactive, and object-oriented scripting language. It can be used as both a scripting language and for object-oriented programming. Python code is automatically compiled to byte code and executed. It supports data types like numbers, strings, lists, tuples, dictionaries, booleans, and sets. Common operations include concatenation, slicing, repetition, indexing, and more. User input can be obtained using functions like input() and raw_input().
PYTHON.pdf
PYTHON.pdfLovelyLabordoParacha This document provides an introduction to Python programming concepts such as keywords, identifiers, comments, variables, data types, and literals. It defines keywords as reserved words in Python that have special meanings. Identifiers are names given to variables and other objects. Comments are notes for making code more readable. Variables are containers that hold data values. Literals represent fixed values like numbers and strings. The document also discusses Python data types like integers, floats, booleans, lists, tuples, dictionaries and sets.
UNIT 1 - Revision of Basics - II.pptx
UNIT 1 - Revision of Basics - II.pptxNishanSidhu2 The document discusses tuples, lists, and dictionaries in Python. Tuples are immutable sequences that are created using parentheses. Lists are mutable sequences that can be modified using methods like append(). Dictionaries are collections of key-value pairs that are indexed by keys and allow for adding, updating and deleting elements. Both lists and tuples can be traversed using for loops, while dictionaries are traversed by their keys.
Arrays and function basic c programming notes
Arrays and function basic c programming notesGOKULKANNANMMECLECTC The document discusses arrays and functions in C programming. It defines arrays as collections of similar data items stored under a common name. It describes one-dimensional and two-dimensional arrays, and how they are declared and initialized. It also discusses strings as arrays of characters. The document then defines functions as sets of instructions to perform tasks. It differentiates between user-defined and built-in functions, and describes the elements of functions including declaration, definition, and calling.
2 UNIT CH3 Dictionaries v1.ppt
2 UNIT CH3 Dictionaries v1.ppttocidfh - Dictionaries in Python are mutable and contain key-value pairs, with keys being unique and immutable.
- Common dictionary methods include keys(), values(), items(), get(), update(), pop(), popitem() etc.
- Dictionaries can be iterated over using for loops and sorted. Operations like merging, concatenation, checking presence of keys are also possible on dictionaries.
Dictionaries and Sets
Dictionaries and SetsMunazza-Mah-Jabeen A dictionary in Python is a collection of key-value pairs where keys must be unique and immutable. It allows looking up values by their associated keys similar to a real-world dictionary. Keys are used as indexes to retrieve their corresponding values. Dictionaries are mutable and unordered collections that can hold elements of different data types. Common operations on dictionaries include adding, updating, and removing key-value pairs as well as accessing elements by their keys.
More from ZainabHaneen (7)
Artificial Intelligence and technologys
Artificial Intelligence and technologysZainabHaneen Artificial Intelligence (AI) is advancing rapidly, transforming industries and revolutionizing the way we live and work. With AI automating tasks, making data-driven decisions, and even mimicking human intelligence, a crucial question arises—will AI replace humans entirely? While AI has proven to be highly efficient in processing large amounts of data, recognizing patterns, and performing repetitive tasks, it still lacks essential human traits like creativity, emotional intelligence, and ethical reasoning.Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, influencing industries, economies, and daily life.Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, influencing industries, economies, and daily life. From self-driving cars and AI-powered assistants like Siri and Alexa to advanced medical diagnostics and automated financial trading, AI is revolutionizing how we work and interact with technology. Artificial Intelligence (AI) is advancing rapidly, transforming industries and revolutionizing the way we live and work. With AI automating tasks, making data-driven decisions, and even mimicking human intelligence, a crucial question arises—will AI replace humans entirely? While AI has proven to be highly efficient in processing large amounts of data, recognizing patterns, and performing repetitive tasks, it still lacks essential human traits like creativity, emotional intelligence, and ethical reasoningArtificial Intelligence (AI) has emerged as one of the most transformativeMany factory jobs have been replaced by AI-powered robotics.
White-collar jobs like financial analysis and content creation are also at risk.
However, AI is also creating new job opportunities in tech and data science.Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, influencing industries, economies, and daily life. From self-driving cars and AI-powered assistants like Siri and Alexa to advanced medical diagnostics and automated financial trading, AI is revolutionizing how we work and interact with technology. Artificial Intelligence (AI) is advancing rapidly, transforming industries and revolutionizing the way we live and work. With AI automating tasks, making data-driven decisions, and even mimicking human intelligence, a crucial question arises—will AI replace humans entirely? While AI has proven to be highly efficient in processing large amounts of data, recognizing patterns, and performing repetitive tasks, it still lacks essential human traits like creativity, emotional intelligence, and ethical Reasoning artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, influencing industries, economies, and daily life.Artificial Intelligence (AI) has emerged as one of the most transformative power of artificial intelligence and technology.
Web Content Management Systems (WCMS) fa
Web Content Management Systems (WCMS) faZainabHaneen Web Content Management Systems (WCMS) face security issues like SQL injection, cross-site scripting (XSS), unauthorized access, weak authentication, plugin vulnerabilities, and data breaches. Regular updates, strong passwords, access controls, and security plugins help mitigate these risks and protect sensitive information.Security Issues in Web Content Management Systems (WCMS)
Introduction
Web Content Management Systems (WCMS) have revolutionized website development, allowing users to create, manage, and publish digital content without deep technical expertise. Popular WCMS platforms like WordPress, Joomla, and Drupal power millions of websites worldwide, providing ease of use and flexibility. However, this widespread adoption also makes WCMS a prime target for cyber threats. Security vulnerabilities in WCMS can lead to website defacement, data breaches, loss of sensitive information, and compromised user privacy.
With cyberattacks increasing in complexity, organizations must be aware of the security risks associated with WCMS. These risks include SQL injection, cross-site scripting (XSS), unauthorized access, plugin vulnerabilities, weak authentication, and data leaks. In this essay, we will explore these security issues, examine real-world incidents, and discuss best practices for securing WCMS-based websites.
Common Security Issues in WCMS
1. SQL Injection (SQLi)
SQL injection is one of the most severe vulnerabilities in WCMS. It occurs when attackers inject malicious SQL queries into input fields to manipulate the database. This can lead to unauthorized access, data theft, or even complete deletion of the database.
Example:
In 2020, a vulnerability in a popular WordPress plugin allowed attackers to inject SQL queries, exposing millions of users' personal data.
Prevention:
Use prepared statements and parameterized queries
Implement input validation and sanitization
Regularly update WCMS and plugins
2. Cross-Site Scripting (XSS)
XSS attacks allow hackers to inject malicious scripts into web pages, which execute when users visit the affected site. This can lead to session hijacking, data theft, or redirection to malicious websites.
Example:
Drupal suffered an XSS vulnerability that allowed attackers to inject scripts, leading to unauthorized access to user accounts.
Prevention:
Sanitize user inputs
Implement Content Security Policy (CSP)
Use secure coding practices
3. Unauthorized Access & Weak Authentication
Many WCMS platforms use default usernames and weak passwords, making them vulnerable to brute-force attacks. If admin credentials are compromised, attackers can gain full control over the website.
Example:
A 2021 Joomla breach occurred due to weak admin passwords, allowing hackers to deface multiple websites.
Prevention:
Enforce strong password policies
Enable two-factor authentication (2FA)
Limit login attempts
4. Plugin and Theme Vulnerabilities
Third-party plugins and themes enhance WCMS functionality but.
"Partnerships for the Goals: Strengthens
"Partnerships for the Goals: StrengthensZainabHaneen The 17th Sustainable Development Goal (SDG) is "Partnerships for the Goals," which aims to strengthen the means of implementation and revitalize the global partnership for sustainable development. This goal is integral to the success of all other SDGs, as it emphasizes the necessity of collaboration among governments, the private sector, civil society, and various other stakeholders to achieve sustainable development on a global scale.
### The Importance of Partnerships
Partnerships are crucial for addressing complex and interconnected global challenges such as poverty, inequality, climate change, environmental degradation, peace, and justice. No single entity or country can tackle these issues alone. The 17th SDG underscores that a successful sustainable development agenda requires inclusive partnerships built upon principles and values, a shared vision, and shared goals that place people and the planet at the center.
### Targets and Indicators
The 17th SDG includes 19 targets and 25 indicators, which are categorized into five main areas:
1. **Finance**: Strengthen domestic resource mobilization, including through international support to developing countries, to improve domestic capacity for tax and other revenue collection. Encourage official development assistance (ODA) and financial flows, including foreign direct investment, to states where the need is greatest.
2. **Technology**: Promote the development, transfer, dissemination, and diffusion of environmentally sound technologies to developing countries on favorable terms. Enhance the use of enabling technology, particularly information and communications technology.
3. **Capacity-Building**: Enhance international support for implementing effective and targeted capacity-building in developing countries to support national plans to implement all the sustainable development goals, including through North-South, South-South, and triangular cooperation.
4. **Trade**: Promote a universal, rules-based, open, non-discriminatory, and equitable multilateral trading system under the World Trade Organization (WTO). Significantly increase the exports of developing countries, with a view to doubling the least developed countries' share of global exports by 2020.
5. **Systemic Issues**: Address policy and institutional coherence for sustainable development. Enhance the global partnership for sustainable development, complemented by multi-stakeholder partnerships that mobilize and share knowledge, expertise, technology, and financial resources.
### Progress and Challenges
While significant progress has been made in fostering partnerships for the SDGs, challenges remain. The COVID-19 pandemic has highlighted the need for stronger and more resilient partnerships to address global crises. There has been a recognition of the importance of mobilizing resources and ensuring that no one is left behind.
### The Role of Stakeholders
1. **Governments**: National governments play a critical role in all
Git is a distributed version control sys.
Git is a distributed version control sys.ZainabHaneen Git is a distributed version control system designed to handle everything from small to very large projects with speed and efficiency. Created by Linus Torvalds in 2005 for the development of the Linux kernel, Git has since become the most widely used version control system in the world, favored for its robust features and flexibility.
### Core Features of Git
**1. Distributed Version Control:**
Unlike traditional version control systems, Git is distributed. This means every developer has a complete copy of the entire repository history on their own machine, allowing for faster access to project history, easy branching and merging, and offline work capabilities. This design also enhances data integrity, as each clone contains the full history of the project.
**2. Branching and Merging:**
Git's branching model is one of its most powerful features. Branches in Git are lightweight, easy to create, and manage. This allows developers to experiment with new features or fixes in isolated environments without affecting the main codebase. Merging these branches back into the main codebase is streamlined, making it simpler to integrate changes and collaborate among team members.
**3. Data Integrity:**
Git uses a content-addressable file system to store objects, ensuring that every file and commit is checksummed before it is stored. This means that data corruption can be detected, and the history of changes is preserved immutably. The integrity of the repository is a cornerstone of Git's design.
**4. Speed and Performance:**
Git is designed to be fast. Most operations, such as committing changes, creating branches, and merging branches, are local, which means they are very quick and do not require network access. Additionally, Git's efficient handling of large projects and binary files makes it suitable for a wide range of applications.
**5. Collaboration and Workflow:**
Git supports various workflows and collaboration models. Whether using a centralized workflow with a single repository or a distributed model with multiple repositories, Git provides the tools needed to manage and track changes effectively. GitHub, GitLab, and Bitbucket are popular platforms that build on Git, offering additional features like pull requests, issue tracking, and continuous integration.
**6. Staging Area:**
Git introduces the concept of a staging area (or index), which allows developers to collect changes that will be part of the next commit. This provides greater control over the commit process, enabling developers to craft meaningful commits and manage their history more effectively.
**7. Extensive Documentation and Community Support:**
Git comes with comprehensive documentation and has a large, active community. Numerous tutorials, forums, and resources are available to help new users get started and assist experienced users in resolving complex issues.
### Common Git Commands
- `git init`: Initializes a new Git repository.
- `git clone`: Clones an existing repos
Optimiz Performance with Multiprocessing
Optimiz Performance with MultiprocessingZainabHaneen Multiprocessing is the capability of a computer system to execute multiple processes simultaneously by utilizing two or more central processing units (CPUs) or cores. This method enhances computational speed and efficiency by dividing tasks into smaller, concurrent processes that can be executed independently and in parallel, thereby optimizing the use of available hardware resources.Multiprocessing is a method used to achieve concurrent execution of tasks in a program by utilizing multiple processors or cores. It allows a system to execute several processes simultaneously, significantly improving performance for CPU-intensive tasks. This approach is particularly useful for computational tasks that can be divided into smaller, independent processes. Multiprocessing can help in optimizing the use of available hardware resources, leading to faster execution and improved efficiency.
Key aspects of multiprocessing include:
1. **Parallelism**: It enables true parallel execution by running multiple processes at the same time on different CPU cores.
2. **Process Isolation**: Each process runs independently in its own memory space, reducing the risk of memory corruption and enhancing reliability.
3. **Scalability**: Multiprocessing can scale efficiently with the number of available cores, making it suitable for modern multi-core processors.
However, multiprocessing also introduces challenges such as inter-process communication (IPC) overhead, synchronization issues, and the complexity of managing multiple processes.
### Hashtags
- #Multiprocessing
- #ParallelComputing
- #Concurrency
- #CPUOptimization
- #PerformanceEnhancement
- #ProcessIsolation
Strings are sequences of characters used.
Strings are sequences of characters used.ZainabHaneen Strings are sequences of characters, typically used to represent text in programming languages. In most programming languages, strings are surrounded by either single quotes (' ') or double quotes (" "). Here are some key points about strings:
1. **Immutable**: In many programming languages, strings are immutable, meaning once they are created, their values cannot be changed. Any operation that modifies a string actually creates a new string.
2. **Operations**: Strings support various operations such as concatenation (joining two strings together), slicing (extracting a substring), length calculation, and searching for substrings.
3. **Encoding**: Strings can be encoded using different character encodings, such as ASCII, UTF-8, UTF-16, etc., which determine how characters are represented as bytes in memory.
4. **Escape Characters**: Strings may contain escape sequences to represent special characters, such as newline (\n), tab (\t), backslash (\\), etc.
5. **String Manipulation**: String manipulation functions allow for operations like converting case (uppercase/lowercase), replacing substrings, splitting strings into substrings, and formatting strings with placeholders.
6. **Comparison**: Strings can be compared for equality or ordered based on their lexicographical order (dictionary order).
7. **Unicode Support**: Modern programming languages often support Unicode characters in strings, allowing for representation of a wide range of characters from different languages and writing systems.
Overall, strings are fundamental data types in programming languages and are extensively used in various applications for handling textual data.Strings are foundational elements in programming, serving as data types for representing textual information. They are integral to virtually all software applications, enabling the manipulation, storage, and presentation of textual data. This extensive essay will delve into the intricacies of strings, covering their definition, properties, operations, encoding, manipulation, and significance in various programming languages and applications.
### Definition and Properties:
A string is a sequence of characters, typically enclosed within single (' ') or double (" ") quotation marks. Characters can include letters, numbers, symbols, and whitespace. Strings are immutable in many programming languages, meaning their values cannot be changed after creation. Any operation that appears to modify a string actually creates a new string. For example, when concatenating two strings, a new string is formed, leaving the original strings unchanged.
### Operations:
Strings support a variety of operations for manipulation and analysis:
- **Concatenation**: Joining two or more strings together to form a new string.
- **Slicing**: Extracting a substring from a larger string by specifying start and end indices.
- **Length Calculation**: Determining the Strings are encoded using various character encodings, such as ASCII codes
88603-PPT On Augmented Reality And Virtual Reality.pptx
88603-PPT On Augmented Reality And Virtual Reality.pptxZainabHaneen This is a great PPT for virtual reality and augmented reality..Augmented Reality (AR) and Virtual Reality (VR) are immersive technologies that have gained significant traction in recent years, offering transformative experiences in various fields ranging from entertainment and gaming to healthcare and education.
AR overlays digital information onto the real world, enhancing the user's perception of their environment. This technology is commonly seen in mobile applications like Pokémon GO, where digital creatures appear within the user's physical surroundings through their smartphone camera. AR has also found practical applications in industries such as retail, where customers can visualize how furniture or clothing will look in their home before making a purchase.
On the other hand, VR creates entirely virtual environments that users can interact with using specialized headsets. VR transports users to simulated worlds, providing immersive experiences that can range from exploring fantastical landscapes to participating in virtual training simulations. VR is extensively used in gaming, allowing players to step into the shoes of their favorite characters and experience adventures firsthand.
Both AR and VR offer immense potential in healthcare. Surgeons can use AR to overlay patient data onto their field of view during procedures, providing real-time guidance and improving surgical precision. VR, meanwhile, is utilized for pain management, exposure therapy, and rehabilitation, immersing patients in therapeutic environments to aid in their recovery.
In education, AR and VR revolutionize traditional learning methods by providing interactive and engaging experiences. Students can explore historical sites in VR, dissect virtual organisms in biology class, or visualize complex concepts like planetary motion in AR.
Despite their promise, AR and VR face challenges such as hardware limitations, content creation costs, and concerns about privacy and ethical implications. However, as technology advances and becomes more accessible, AR and VR are poised to reshape how we interact with the digital and physical worlds, unlocking new possibilities for entertainment, education, healthcare, and beyond.Augmented Reality (AR) and Virtual Reality (VR) are cutting-edge technologies revolutionizing how we perceive and interact with the digital world. AR enhances the real world by overlaying digital information onto physical environments, while VR immerses users in entirely virtual experiences using specialized headsets.
AR applications range from gaming, where digital characters interact with the real world, to practical uses like navigation assistance and virtual try-on experiences in retail. VR, on the other hand, transports users to simulated environments, making it popular in gaming, training simulations, and virtual tours.
In healthcare, AR assists surgeons with real-time data overlay during procedures, improving precision.1. Augmented Reality
2. Virtual Rea
Ad
Recently uploaded (20)
highend-srxseries-services-gateways-customer-presentation.pptx
highend-srxseries-services-gateways-customer-presentation.pptxelhadjcheikhdiop Juniper High End Series
IT Services Workflow From Request to Resolution
IT Services Workflow From Request to Resolutionmzmziiskd IT Services Workflow From Request to Resolution
Virtualization Trends Streamlining Operations in Telecom with David Bernard ...
Virtualization Trends Streamlining Operations in Telecom with David Bernard ...David Bernard Ezell The telecommunications industry is undergoing a significant transformation driven by virtualization technologies. Virtualization, which involves the abstraction of hardware resources and the creation of virtual instances of software-based functions, is revolutionizing the way telecom operators design, deploy, and manage their networks. In this blog, we delve into the latest virtualization trends that are reshaping operations in the telecom sector, driving efficiency, agility, and innovation.
Understanding the Tor Network and Exploring the Deep Web
Understanding the Tor Network and Exploring the Deep Webnabilajabin35 While the Tor network, Dark Web, and Deep Web can seem mysterious and daunting, they are simply parts of the internet that prioritize privacy and anonymity. Using tools like Ahmia and onionland search, users can explore these hidden spaces responsibly and securely. It’s essential to understand the technology behind these networks, as well as the risks involved, to navigate them safely. Visit https://torgol.com/
Smart Mobile App Pitch Deck丨AI Travel App Presentation Template
Smart Mobile App Pitch Deck丨AI Travel App Presentation Templateyojeari421237 🚀 Smart Mobile App Pitch Deck – "Trip-A" | AI Travel App Presentation Template
This professional, visually engaging pitch deck is designed specifically for developers, startups, and tech students looking to present a smart travel mobile app concept with impact.
Whether you're building an AI-powered travel planner or showcasing a class project, Trip-A gives you the edge to impress investors, professors, or clients. Every slide is cleanly structured, fully editable, and tailored to highlight key aspects of a mobile travel app powered by artificial intelligence and real-time data.
💼 What’s Inside:
- Cover slide with sleek app UI preview
- AI/ML module implementation breakdown
- Key travel market trends analysis
- Competitor comparison slide
- Evaluation challenges & solutions
- Real-time data training model (AI/ML)
- “Live Demo” call-to-action slide
🎨 Why You'll Love It:
- Professional, modern layout with mobile app mockups
- Ideal for pitches, hackathons, university presentations, or MVP launches
- Easily customizable in PowerPoint or Google Slides
- High-resolution visuals and smooth gradients
📦 Format:
- PPTX / Google Slides compatible
- 16:9 widescreen
- Fully editable text, charts, and visuals
Top Vancouver Green Business Ideas for 2025 Powered by 4GoodHosting
Top Vancouver Green Business Ideas for 2025 Powered by 4GoodHostingsteve198109 Vancouver in 2025 is more than scenic views, yoga studios, and oat milk lattes—it’s a thriving hub for eco-conscious entrepreneurs looking to make a real difference. If you’ve ever dreamed of launching a purpose-driven business, now is the time. Whether it’s urban mushroom farming, upcycled furniture sales, or vegan skincare sold online, your green idea deserves a strong digital foundation.
The 2025 Canadian eCommerce landscape is being shaped by trends like sustainability, local innovation, and consumer trust. To stay ahead, eco-startups need reliable hosting that aligns with their values. That’s where 4GoodHosting.com comes in—one of the top-rated Vancouver web hosting providers of 2025. Offering secure, sustainable, and Canadian-based hosting solutions, they help green entrepreneurs build their brand with confidence and conscience.
As eCommerce in Canada embraces localism and environmental responsibility, choosing a hosting provider that shares your vision is essential. 4GoodHosting goes beyond just hosting websites—they champion Canadian businesses, sustainable practices, and meaningful growth.
So go ahead—start that eco-friendly venture. With Vancouver web hosting from 4GoodHosting, your green business and your values are in perfect sync.
What's going on with IPv6? presented by Geoff Huston
What's going on with IPv6? presented by Geoff HustonAPNIC APNIC Chief Scientist, Geoff Huston, presented on the global deployment of IPv6 at the 6th ICANN APAC-TWNIC Engagement Forum and 43rd TWNIC OPM held in Taipei from 22 to 24 April 2025.
Reliable Vancouver Web Hosting with Local Servers & 24/7 Support
Reliable Vancouver Web Hosting with Local Servers & 24/7 Supportsteve198109 Looking for powerful and affordable web hosting in Vancouver? 4GoodHosting offers premium Canadian web hosting solutions designed specifically for individuals, startups, and businesses across British Columbia. With local data centers in Vancouver and Toronto, we ensure blazing-fast website speeds, superior uptime, and enhanced data privacy—all critical for your business success in today’s competitive digital landscape.
Our Vancouver web hosting plans are packed with value—starting as low as $2.95/month—and include secure cPanel management, free domain transfer, one-click WordPress installs, and robust email support with anti-spam protection. Whether you're hosting a personal blog, business website, or eCommerce store, our scalable cloud hosting packages are built to grow with you.
Enjoy enterprise-grade features like daily backups, DDoS protection, free SSL certificates, and unlimited bandwidth on select plans. Plus, our expert Canadian support team is available 24/7 to help you every step of the way.
At 4GoodHosting, we understand the needs of local Vancouver businesses. That’s why we focus on speed, security, and service—all hosted on Canadian soil. Start your online journey today with a reliable hosting partner trusted by thousands across Canada.
Perguntas dos animais - Slides ilustrados de múltipla escolha
Perguntas dos animais - Slides ilustrados de múltipla escolhasocaslev Slides ilustrados de múltipla escolha
Mobile database for your company telemarketing or sms marketing campaigns. Fr...
Mobile database for your company telemarketing or sms marketing campaigns. Fr...DataProvider1 Why Mobile Database Services are Important: Powering the Future of Mobile Applications
APNIC -Policy Development Process, presented at Local APIGA Taiwan 2025
APNIC -Policy Development Process, presented at Local APIGA Taiwan 2025APNIC Joyce Chen, Senior Advisor, Strategic Engagement at APNIC, presented on 'APNIC Policy Development Process' at the Local APIGA Taiwan 2025 event held in Taipei from 19 to 20 April 2025.
How to Switch Hosting Providers in Vancouver Without Any Downtime
How to Switch Hosting Providers in Vancouver Without Any Downtimesteve198109 Switching web hosting providers can feel like a daunting task—especially if you're running a business, wellness brand, blog, or eCommerce store in Vancouver that depends on 24/7 uptime. This comprehensive guide walks you through every essential step to migrate your website to a new hosting provider without experiencing any downtime or disruption. Whether you're switching due to slow load times, poor customer service, rising renewal costs, or a desire for better security and scalability, this post ensures you do it right the first time.
From choosing the right local hosting service in Vancouver—such as 4GoodHosting—to backing up your files, testing your new environment, and monitoring DNS changes, every phase is explained with practical tips and tools. You'll also discover why Vancouver-based servers improve your SEO, boost page speed, and offer regionally aligned customer support. Perfect for green startups, wellness entrepreneurs, and growing online stores, this guide helps ensure a smooth transition with no interruptions, lost data, or negative customer experiences.
If you're ready to make the switch and want to protect your brand reputation, maximize website performance, and maintain business continuity, this guide is your roadmap. Let 4GoodHosting help you get started with secure, local, and scalable hosting solutions in Canada.
Best web hosting Vancouver 2025 for you business
Best web hosting Vancouver 2025 for you businesssteve198109 Vancouver in 2025 is more than scenic views, yoga studios, and oat milk lattes—it’s a thriving hub for eco-conscious entrepreneurs looking to make a real difference. If you’ve ever dreamed of launching a purpose-driven business, now is the time. Whether it’s urban mushroom farming, upcycled furniture sales, or vegan skincare sold online, your green idea deserves a strong digital foundation.
The 2025 Canadian eCommerce landscape is being shaped by trends like sustainability, local innovation, and consumer trust. To stay ahead, eco-startups need reliable hosting that aligns with their values. That’s where 4GoodHosting.com comes in—one of the top-rated Vancouver web hosting providers of 2025. Offering secure, sustainable, and Canadian-based hosting solutions, they help green entrepreneurs build their brand with confidence and conscience.
As eCommerce in Canada embraces localism and environmental responsibility, choosing a hosting provider that shares your vision is essential. 4GoodHosting goes beyond just hosting websites—they champion Canadian businesses, sustainable practices, and meaningful growth.
So go ahead—start that eco-friendly venture. With Vancouver web hosting from 4GoodHosting, your green business and your values are in perfect sync.
Ad
"Python Dictionary: The Key to Efficient Data Storage, Manipulation, and Versatile Programming in Python - Unleash the Power of Key-Value Pairs for Dynamic Mapping and Streamlined Coding"
- 1. Dictionaries Week 8 Course: Programming in Python CEC-Swayam/EMRC Dibrugarh University
- 2. Dictionaries Dictionary is a built-in Python Data Structure and are used to store data values in key:value pairs. Each key is separated from its value by a colon ( : ). Dictionaries are not indexed by a sequence of numbers but indexed based on keys
- 3. Creating a Dictionary • The syntax for defining a dictionary is: • dictionary_name = {key_1: value_1, key_2: value2, key_3: value_3} • Or it can also be written as : • dictionary_name = { key_1: value_1, key_2: value_2, key_3: value_3, }
- 4. Points to remember The keys in the dictionary must be unique and of immutable data type i.e. strings, numbers or tuples. The value doesn't have any such restrictions. Dictionary are case-sensitive i.e. two keys with similar name but different case will be treated differently. The elements within the dictionary are accessed with the help of the keys rather than its relative position.
- 5. """Write a program to create a dictionary to convert values from meters to centimeters """ mtocm={m:m*100 for m in range(1,11) } print("Meters:Centimeters",mtocm)
- 6. """ Write a program that creates a dictionary of cubes of odd numbers in the range (1-10) """ cubes={c:c**3 for c in range(10) if c%2==1} print(cubes)
- 7. """ To count the number of occurrences of each character of a message entered by the user. """ def cnt(msg): lc={} #empty dictionary for l in msg: lc[l]=lc.get(l,0)+1 print(lc) msg=input("Enter a message ") cnt(msg)
- 8. """ Create a dictionary with names of studenst and marks in two papers.Create a dictionaryfinal which has names and total marks and also find the topper. """ result={'Rahul':[78,89], 'Pranamika':[89,87], 'Ashish':[79,88], 'Anshul':[90,67]} total=0 final=result.copy() for key,val in result.items(): total=sum(val) final[key]=total print(final) hig=0 Topper='' for key,val in final.items(): if val>hig: hig=val Topper=key print("Topper is :" , Topper, "securing ", hig, "marks")
- 9. """ To get the minimum and maximum value from a dictionary """ dict = { 'Physics': 90, 'Chemistry':75, 'Maths': 85, 'English':87, 'Computer Sc.':96 } print('Minimummarks in:', min(dict,key=dict.get)) print('Maximummarks in:', max(dict,key=dict.get))
- 10. """ Change value of a key in a nested dictionary """ dict = { 'emp1': {'name': 'Akash', 'salary': 15500}, 'emp2': {'name': 'Ajay', 'salary': 18000}, 'emp3': {'name': 'Vijay', 'salary': 16500} } dict['emp2']['salary'] = 15500 print(dict)
- 11. # Program to print sum of key-value # pairs in dictionary dict = {1: 34, 2: 29, 3: 49} sumval = [] # Traverse the dictionary for keys in dict: sumval.append(keys + dict[keys]) # Print the list print("Key-value sum =",sumval)
- 12. # Program for handling missing keys in the dictionary using get() method in Python # Crating the dictionary names = {'Sharma' : 'CEO' , 'Saikia' : 'Manager' , 'Ali' : 'Executive'} # Getting user input for the key search_key = input("Enter the key to be searched:=> ") # Logic to handle missing keys in dictionary print(names.get(search_key, "Search key not present"))
- 13. # Python program to compare two dictionaries using == operator emp1 = {'eid': 101, 'ename': 'Rajib', 'eAge': 24} emp2 = {'eid': 101, 'ename': 'Rajib', 'eAge': 24} emp3 = {'eid': 102, 'ename': 'Kumar', 'eAge': 25} if emp1 == emp2: print("emp1and emp2 are same dictionaries") else: print("emp1and emp2 are not same dictionaries") if emp2 == emp3: print("emp2and emp3 are same dictionaries") else: print("emp2and emp3 are not same dictionaries")
- 14. # Program to remove a key from dictionary using del in Python empage = {"Ravi" : 24, "Ashok" : 22, "Vijay" : 25 } print("The dictionary is :", empage) del_k = input("Enter the key to be deleted: ") # Removing the key from dictionary del empage[del_k] # Printing the dictionary print("The dictionary after deletion is : ") print(empage)
- 15. # Python program to sort dictionary key and values list # Creating a list with list as values result = {'Raju' : [88, 45, 75], 'ram' : [98, 79, 68]} print("Initially the dictionary is " + str(result)) # Sorting dictionary sort_res = dict() for key in sorted(result): sort_res[key]= sorted(result[key]) # Printing sorted dictionary print("Dictionary aftersort of key and list value : ") print(str(sort_res))
- 16. Thank You