Control structures functions and modules in python programming
0 likes389 views
The document discusses control structures, functions, modules, and Python's standard library. It covers topics like conditional branching, looping, functions, modules, packages, exceptions, strings, and more. Custom functions in Python include global functions, local functions, lambda functions, and methods. Modules allow packaging functionality and importing it into other code.
1 of 52
Downloaded 14 times
Ad
Recommended
Python programming : Files
Python programming : FilesEmertxe Information Technologies Pvt Ltd
Â
The document discusses files in Python. It defines a file as an object that stores data, information, settings or commands used with a computer program. There are two main types of files - text files which store data as strings, and binary files which store data as bytes. The document outlines how to open, read, write, append, close and manipulate files in Python using functions like open(), read(), write(), close() etc. It also discusses pickling and unpickling objects to binary files for serialization. Finally, it covers working with directories and running other programs from Python.standard template library(STL) in C++
standard template library(STL) in C++•sreejith •sree
Â
The document provides an introduction to the Standard Template Library (STL) in C++. It describes the main components of STL including containers, iterators, algorithms and function objects. It explains that containers store data, iterators access data, algorithms manipulate data, and function objects can be used by algorithms. Specific containers like vector, deque, list, set and map are outlined along with their characteristics and sample functions. Iterators and their categories are also summarized. Common algorithms like for_each, find, sort and merge are demonstrated through examples. Finally, it shows how function objects can be used by algorithms to customize operations.File in c
File in cPrabhu Govind
Â
Files allow data to be permanently stored and accessed by programs. Basic file operations include opening, reading, writing, and closing files. To open a file, its name and access mode are passed to the fopen function, which returns a file pointer used for subsequent read/write operations. Characters can be read from and written to files using functions like getc and putc. Command line arguments passed when a program launches are accessible through the argc and argv parameters of the main function.Python basics
Python basicsRANAALIMAJEEDRAJPUT
Â
The document provides an overview of the Python programming language. It discusses that Python is an easy to learn, high-level, open-source programming language. It describes Python's design philosophy of code readability and how it allows programmers to express concepts in fewer lines of code compared to languages like C++ and Java. The document also discusses Python's powerful libraries, wide use across industries, and how to get started with Python programming using the IDLE integrated development environment.File handling in Python
File handling in PythonMegha V
Â
The document discusses file handling in Python. It explains that a file is used to permanently store data in non-volatile memory. It describes opening, reading, writing, and closing files. It discusses opening files in different modes like read, write, append. It also explains attributes of file objects like name, closed, and mode. The document also covers reading and writing text and binary files, pickle module for serialization, and working with CSV files and the os.path module.List , tuples, dictionaries and regular expressions in python
List , tuples, dictionaries and regular expressions in pythonchanna basava
Â
This document provides an overview of lists, dictionaries, and tuples in Python. It covers list creation, manipulation methods, and operations such as slicing, concatenation, and membership checking, alongside dictionary characteristics and usage examples. Additionally, it contrasts lists and strings, explains tuples, and introduces basic text parsing techniques.Data types in C language
Data types in C languagekashyap399
Â
Data types in C include primary (fundamental) types like integers and floating-point numbers, as well as derived and user-defined types. Primary types include integers of various sizes (char, short, int, long) that can be signed or unsigned, and floating-point types like float, double, and long double. Integer types have size and value ranges that depend on the machine, such as 8-bit char from -128 to 127. Floating-point types have prescribed sizes and precision levels. User can define their own types using typedef to create new type names, or enum to define enumeration types with named values.Arrays in python
Arrays in pythonmoazamali28
Â
Arrays in Python can hold multiple values and each element has a numeric index. Arrays can be one-dimensional (1D), two-dimensional (2D), or multi-dimensional. Common operations on arrays include accessing elements, adding/removing elements, concatenating arrays, slicing arrays, looping through elements, and sorting arrays. The NumPy library provides powerful capabilities to work with n-dimensional arrays and matrices.Fundamentals of Python Programming
Fundamentals of Python ProgrammingKamal Acharya
Â
The document provides an introduction to Python programming including its features, uses, history, and installation process. Some key points covered include:
- Python is an interpreted, object-oriented programming language that is used for web development, scientific computing, and desktop applications.
- It was created by Guido van Rossum in 1991 and named after the Monty Python comedy group.
- To install Python on Windows, users download the latest version from python.org and run the installer, which also installs the IDLE development environment.
- The document then covers basic Python concepts like variables, data types, operators, and input/output functions.Zero to Hero - Introduction to Python3
Zero to Hero - Introduction to Python3Chariza Pladin
Â
The document is a comprehensive introduction to Python 3 programming, detailing its syntax, data types, and various applications in fields like web development and data analysis. It emphasizes Python's simplicity and flexibility, particularly its dynamic typing and ease of use for beginners. The document also covers essential programming concepts such as variables, operators, control structures, functions, and provides examples and coding exercises.Python-04| Fundamental data types vs immutability
Python-04| Fundamental data types vs immutabilityMohd Sajjad
Â
Fundamental data types like integers, floats, booleans and strings are immutable in Python. Immutable means the object cannot be changed once created. For integers from 0 to 256, Python reuses the same integer objects to save memory. It also reuses the two boolean objects for True and False. For strings, a new object is created each time due to the large number of possible string values. Floats and complexes are also immutable and do not reuse objects. Immutability helps improve performance and memory usage in Python.Regular expressions in Python
Regular expressions in PythonSujith Kumar
Â
Regular expressions are a powerful tool for searching, matching, and parsing text patterns. They allow complex text patterns to be matched with a standardized syntax. All modern programming languages include regular expression libraries. Regular expressions can be used to search strings, replace parts of strings, split strings, and find all occurrences of a pattern in a string. They are useful for tasks like validating formats, parsing text, and finding/replacing text. This document provides examples of common regular expression patterns and methods for using regular expressions in Python.Intro to Python Programming Language
Intro to Python Programming LanguageDipankar Achinta
Â
The document provides an extensive overview of Python programming, covering its basic concepts, syntax, decision-making structures, loops, and data types. It emphasizes Python's clear syntax, dynamic typing, and object-oriented features, along with practical examples of its application. Important topics include variable assignment, control flow, sequence types (lists, tuples, strings), and mutability.Android User Interface
Android User InterfaceShakib Hasan Sumon
Â
Android uses Views and ViewGroups to create user interfaces. Views occupy rectangular areas on screen and handle drawing and events. Common widgets like Buttons and TextViews are subclasses of View. Layouts like LinearLayout and RelativeLayout are ViewGroups that position child Views. Layout parameters specify how Views are positioned. Common event listeners include onClick and onTouch, which call registered event handlers when triggered by user interaction.Exception handling c++
Exception handling c++Jayant Dalvi
Â
This document discusses exception handling in C++. It defines an exception as an event that occurs during program execution that disrupts normal flow, like divide by zero errors. Exception handling allows the program to maintain normal flow even after errors by catching and handling exceptions. It describes the key parts of exception handling as finding problems, throwing exceptions, catching exceptions, and handling exceptions. The document provides examples of using try, catch, and throw blocks to handle exceptions in C++ code.Python variables and data types.pptx
Python variables and data types.pptxAkshayAggarwal79
Â
This document discusses Python variables and data types. It defines what a Python variable is and explains variable naming rules. The main Python data types are numbers, strings, lists, tuples, dictionaries, booleans, and sets. Numbers can be integer, float or complex values. Strings are sequences of characters. Lists are mutable sequences that can hold elements of different data types. Tuples are immutable sequences. Dictionaries contain key-value pairs with unique keys. Booleans represent True and False values. Sets are unordered collections of unique elements. Examples are provided to demonstrate how to declare variables and use each of the different data types in Python.Python File Handling | File Operations in Python | Learn python programming |...
Python File Handling | File Operations in Python | Learn python programming |...Edureka!
Â
The document outlines a Python certification training agenda focused on file handling, covering the need for file handling, file types, and practical approaches for CRUD operations. Key functions like open(), read(), and write() are explained, alongside examples and methods for creating, reading, and deleting files. The content also emphasizes the importance of file modes and handling errors when working with files in Python.Variables & Data Types In Python | Edureka
Variables & Data Types In Python | EdurekaEdureka!
Â
The document provides an overview of Python programming, including its introduction, applications, and variable management, highlighting its high-level, object-oriented nature. It explains variable declarations and definitions with examples, details data types such as numbers, strings, lists, and dictionaries, and discusses type conversion functions. Additionally, it emphasizes Python's readability and ease of learning compared to other programming languages.Modules and packages in python
Modules and packages in pythonTMARAGATHAM
Â
Modules allow grouping of related functions and code into reusable files. Packages are groups of modules that provide related functionality. There are several ways to import modules and their contents using import and from statements. The document provides examples of creating modules and packages in Python and importing from them.Python: Modules and Packages
Python: Modules and PackagesDamian T. Gordon
Â
Modules in Python allow organizing classes into files to make them available and easy to find. Modules are simply Python files that can import classes from other modules in the same folder. Packages allow further organizing modules into subfolders, with an __init__.py file making each subfolder a package. Modules can import classes from other modules or packages using either absolute or relative imports, and the __init__.py can simplify imports from its package. Modules can also contain global variables and classes to share resources across a program.What is Multithreading In Python | Python Multithreading Tutorial | Edureka
What is Multithreading In Python | Python Multithreading Tutorial | EdurekaEdureka!
Â
This document discusses multithreading in Python. It defines multitasking as the ability of an operating system to perform different tasks simultaneously. There are two types of multitasking: process-based and thread-based. A thread is a flow of execution within a process. Multithreading in Python can be achieved by importing the threading module. Multithreading is useful when multiple independent tasks need to be performed. The document outlines three ways to create threads in Python: without creating a class, by extending the Thread class, and without extending the Thread class. The advantages of multithreading include enhanced performance, simplified coding, and better CPU utilization.Python set
Python setMohammed Sikander
Â
A set is an unordered collection of unique and immutable elements that can be of different types. Sets can contain elements of different types but not mutable elements like lists. We can perform operations like union, intersection, symmetric difference on sets. Sets are mutable, meaning we can add or remove elements, but cannot access elements by index since sets are unordered.Data Structures in Python
Data Structures in PythonDevashish Kumar
Â
The document illustrates essential data structures in Python, including lists, dictionaries, tuples, and sets, along with their characteristics and main functions. It describes lists as versatile and mutable with various manipulation methods, dictionaries as unordered and key-value pairs, tuples as immutable sequences, and sets as collections without duplicates. Additionally, it covers string operations, emphasizing immutability and various string manipulation techniques such as slicing, formatting, and membership testing.Programming with Python
Programming with PythonRasan Samarasinghe
Â
The document provides a comprehensive overview of programming in Python, covering topics such as basic syntax, data types, control structures, and functions. It includes practical examples and explanations for various programming concepts, including variables, loops, and data structures like lists, tuples, and dictionaries. Additionally, it highlights Python's features, environment setup, and applications in different fields.Principles and advantages of oop ppt
Principles and advantages of oop pptdaxesh chauhan
Â
This document discusses object-oriented programming concepts in C++ including classes, objects, inheritance, abstraction, encapsulation, and polymorphism. It defines each concept and provides examples. Some key advantages of OOP mentioned are code reusability, modeling real-world problems effectively, managing complexity, and facilitating incremental development from small to large systems.Python programming : Classes objects
Python programming : Classes objectsEmertxe Information Technologies Pvt Ltd
Â
The document explains the concept of classes and objects in programming, detailing the structure of classes, including attributes and methods. It illustrates constructors, instance variables, class variables, and various types of methods like instance, class, and static methods, as well as the concept of namespaces. Additionally, it introduces the idea of inner classes and shows examples of how to implement them in code.input/ output in java
input/ output in javasharma230399
Â
The document discusses input/output streams in Java. There are two types of streams: byte streams and character streams. Byte streams handle input and output of bytes for binary files, while character streams handle input and output of characters for text files. Java also defines three standard streams for input, output, and errors that are represented by System.in, System.out, and System.err respectively. The document provides examples of different stream types and how they are used for input and output in Java programs.Python Modules
Python ModulesNitin Reddy Katkam
Â
Python modules allow code reuse and organization. A module is a Python file with a .py extension that contains functions and other objects. Modules can be imported and their contents accessed using dot notation. Modules have a __name__ variable that is set to the module name when imported but is set to "__main__" when the file is executed as a script. Packages are collections of modules organized into directories, with each directory being a package. The Python path defines locations where modules can be found during imports.Exception handling and function in python
Exception handling and function in pythonTMARAGATHAM
Â
The document discusses exception handling in Python, explaining the differences between syntax errors and exceptions, along with how to use try, except, else, and finally blocks. It also covers raising exceptions, creating custom exceptions, and the usage of functions, including defining, calling, and passing parameters to them. Additionally, it touches on variable scope, lambda functions, and Python documentation strings (docstrings).Python for beginners textbook slides ppt
Python for beginners textbook slides pptAnithaChristyAngelin
Â
Chapter 8 of Reema Thareja's book discusses error and exception handling in Python, highlighting common errors like syntax and logic errors, and introduces the concept of exceptions which occur at runtime. It explains how to handle exceptions using try and except blocks, the role of finally and else clauses, and the importance of modules and packages in organizing Python code. Additionally, the chapter covers namespaces and private variables to manage identifier accessibility within modules.More Related Content
What's hot (20)
Fundamentals of Python Programming
Fundamentals of Python ProgrammingKamal Acharya
Â
The document provides an introduction to Python programming including its features, uses, history, and installation process. Some key points covered include:
- Python is an interpreted, object-oriented programming language that is used for web development, scientific computing, and desktop applications.
- It was created by Guido van Rossum in 1991 and named after the Monty Python comedy group.
- To install Python on Windows, users download the latest version from python.org and run the installer, which also installs the IDLE development environment.
- The document then covers basic Python concepts like variables, data types, operators, and input/output functions.Zero to Hero - Introduction to Python3
Zero to Hero - Introduction to Python3Chariza Pladin
Â
The document is a comprehensive introduction to Python 3 programming, detailing its syntax, data types, and various applications in fields like web development and data analysis. It emphasizes Python's simplicity and flexibility, particularly its dynamic typing and ease of use for beginners. The document also covers essential programming concepts such as variables, operators, control structures, functions, and provides examples and coding exercises.Python-04| Fundamental data types vs immutability
Python-04| Fundamental data types vs immutabilityMohd Sajjad
Â
Fundamental data types like integers, floats, booleans and strings are immutable in Python. Immutable means the object cannot be changed once created. For integers from 0 to 256, Python reuses the same integer objects to save memory. It also reuses the two boolean objects for True and False. For strings, a new object is created each time due to the large number of possible string values. Floats and complexes are also immutable and do not reuse objects. Immutability helps improve performance and memory usage in Python.Regular expressions in Python
Regular expressions in PythonSujith Kumar
Â
Regular expressions are a powerful tool for searching, matching, and parsing text patterns. They allow complex text patterns to be matched with a standardized syntax. All modern programming languages include regular expression libraries. Regular expressions can be used to search strings, replace parts of strings, split strings, and find all occurrences of a pattern in a string. They are useful for tasks like validating formats, parsing text, and finding/replacing text. This document provides examples of common regular expression patterns and methods for using regular expressions in Python.Intro to Python Programming Language
Intro to Python Programming LanguageDipankar Achinta
Â
The document provides an extensive overview of Python programming, covering its basic concepts, syntax, decision-making structures, loops, and data types. It emphasizes Python's clear syntax, dynamic typing, and object-oriented features, along with practical examples of its application. Important topics include variable assignment, control flow, sequence types (lists, tuples, strings), and mutability.Android User Interface
Android User InterfaceShakib Hasan Sumon
Â
Android uses Views and ViewGroups to create user interfaces. Views occupy rectangular areas on screen and handle drawing and events. Common widgets like Buttons and TextViews are subclasses of View. Layouts like LinearLayout and RelativeLayout are ViewGroups that position child Views. Layout parameters specify how Views are positioned. Common event listeners include onClick and onTouch, which call registered event handlers when triggered by user interaction.Exception handling c++
Exception handling c++Jayant Dalvi
Â
This document discusses exception handling in C++. It defines an exception as an event that occurs during program execution that disrupts normal flow, like divide by zero errors. Exception handling allows the program to maintain normal flow even after errors by catching and handling exceptions. It describes the key parts of exception handling as finding problems, throwing exceptions, catching exceptions, and handling exceptions. The document provides examples of using try, catch, and throw blocks to handle exceptions in C++ code.Python variables and data types.pptx
Python variables and data types.pptxAkshayAggarwal79
Â
This document discusses Python variables and data types. It defines what a Python variable is and explains variable naming rules. The main Python data types are numbers, strings, lists, tuples, dictionaries, booleans, and sets. Numbers can be integer, float or complex values. Strings are sequences of characters. Lists are mutable sequences that can hold elements of different data types. Tuples are immutable sequences. Dictionaries contain key-value pairs with unique keys. Booleans represent True and False values. Sets are unordered collections of unique elements. Examples are provided to demonstrate how to declare variables and use each of the different data types in Python.Python File Handling | File Operations in Python | Learn python programming |...
Python File Handling | File Operations in Python | Learn python programming |...Edureka!
Â
The document outlines a Python certification training agenda focused on file handling, covering the need for file handling, file types, and practical approaches for CRUD operations. Key functions like open(), read(), and write() are explained, alongside examples and methods for creating, reading, and deleting files. The content also emphasizes the importance of file modes and handling errors when working with files in Python.Variables & Data Types In Python | Edureka
Variables & Data Types In Python | EdurekaEdureka!
Â
The document provides an overview of Python programming, including its introduction, applications, and variable management, highlighting its high-level, object-oriented nature. It explains variable declarations and definitions with examples, details data types such as numbers, strings, lists, and dictionaries, and discusses type conversion functions. Additionally, it emphasizes Python's readability and ease of learning compared to other programming languages.Modules and packages in python
Modules and packages in pythonTMARAGATHAM
Â
Modules allow grouping of related functions and code into reusable files. Packages are groups of modules that provide related functionality. There are several ways to import modules and their contents using import and from statements. The document provides examples of creating modules and packages in Python and importing from them.Python: Modules and Packages
Python: Modules and PackagesDamian T. Gordon
Â
Modules in Python allow organizing classes into files to make them available and easy to find. Modules are simply Python files that can import classes from other modules in the same folder. Packages allow further organizing modules into subfolders, with an __init__.py file making each subfolder a package. Modules can import classes from other modules or packages using either absolute or relative imports, and the __init__.py can simplify imports from its package. Modules can also contain global variables and classes to share resources across a program.What is Multithreading In Python | Python Multithreading Tutorial | Edureka
What is Multithreading In Python | Python Multithreading Tutorial | EdurekaEdureka!
Â
This document discusses multithreading in Python. It defines multitasking as the ability of an operating system to perform different tasks simultaneously. There are two types of multitasking: process-based and thread-based. A thread is a flow of execution within a process. Multithreading in Python can be achieved by importing the threading module. Multithreading is useful when multiple independent tasks need to be performed. The document outlines three ways to create threads in Python: without creating a class, by extending the Thread class, and without extending the Thread class. The advantages of multithreading include enhanced performance, simplified coding, and better CPU utilization.Python set
Python setMohammed Sikander
Â
A set is an unordered collection of unique and immutable elements that can be of different types. Sets can contain elements of different types but not mutable elements like lists. We can perform operations like union, intersection, symmetric difference on sets. Sets are mutable, meaning we can add or remove elements, but cannot access elements by index since sets are unordered.Data Structures in Python
Data Structures in PythonDevashish Kumar
Â
The document illustrates essential data structures in Python, including lists, dictionaries, tuples, and sets, along with their characteristics and main functions. It describes lists as versatile and mutable with various manipulation methods, dictionaries as unordered and key-value pairs, tuples as immutable sequences, and sets as collections without duplicates. Additionally, it covers string operations, emphasizing immutability and various string manipulation techniques such as slicing, formatting, and membership testing.Programming with Python
Programming with PythonRasan Samarasinghe
Â
The document provides a comprehensive overview of programming in Python, covering topics such as basic syntax, data types, control structures, and functions. It includes practical examples and explanations for various programming concepts, including variables, loops, and data structures like lists, tuples, and dictionaries. Additionally, it highlights Python's features, environment setup, and applications in different fields.Principles and advantages of oop ppt
Principles and advantages of oop pptdaxesh chauhan
Â
This document discusses object-oriented programming concepts in C++ including classes, objects, inheritance, abstraction, encapsulation, and polymorphism. It defines each concept and provides examples. Some key advantages of OOP mentioned are code reusability, modeling real-world problems effectively, managing complexity, and facilitating incremental development from small to large systems.Python programming : Classes objects
Python programming : Classes objectsEmertxe Information Technologies Pvt Ltd
Â
The document explains the concept of classes and objects in programming, detailing the structure of classes, including attributes and methods. It illustrates constructors, instance variables, class variables, and various types of methods like instance, class, and static methods, as well as the concept of namespaces. Additionally, it introduces the idea of inner classes and shows examples of how to implement them in code.input/ output in java
input/ output in javasharma230399
Â
The document discusses input/output streams in Java. There are two types of streams: byte streams and character streams. Byte streams handle input and output of bytes for binary files, while character streams handle input and output of characters for text files. Java also defines three standard streams for input, output, and errors that are represented by System.in, System.out, and System.err respectively. The document provides examples of different stream types and how they are used for input and output in Java programs.Python Modules
Python ModulesNitin Reddy Katkam
Â
Python modules allow code reuse and organization. A module is a Python file with a .py extension that contains functions and other objects. Modules can be imported and their contents accessed using dot notation. Modules have a __name__ variable that is set to the module name when imported but is set to "__main__" when the file is executed as a script. Packages are collections of modules organized into directories, with each directory being a package. The Python path defines locations where modules can be found during imports.Similar to Control structures functions and modules in python programming (20)
Exception handling and function in python
Exception handling and function in pythonTMARAGATHAM
Â
The document discusses exception handling in Python, explaining the differences between syntax errors and exceptions, along with how to use try, except, else, and finally blocks. It also covers raising exceptions, creating custom exceptions, and the usage of functions, including defining, calling, and passing parameters to them. Additionally, it touches on variable scope, lambda functions, and Python documentation strings (docstrings).Python for beginners textbook slides ppt
Python for beginners textbook slides pptAnithaChristyAngelin
Â
Chapter 8 of Reema Thareja's book discusses error and exception handling in Python, highlighting common errors like syntax and logic errors, and introduces the concept of exceptions which occur at runtime. It explains how to handle exceptions using try and except blocks, the role of finally and else clauses, and the importance of modules and packages in organizing Python code. Additionally, the chapter covers namespaces and private variables to manage identifier accessibility within modules.function ppt.pptx function ppt.pptx function ppt.pptx
function ppt.pptx function ppt.pptx function ppt.pptxtrwdcn
Â
The document provides a comprehensive overview of Python functions, including their definition, types (built-in and user-defined), syntax for defining and calling them, and various aspects such as function arguments, recursion, and lambda functions. It also discusses best practices for writing functions, error handling, decorators, and real-world applications. Mastering functions is emphasized as essential for Python developers to enhance code reusability, readability, and modularity.use of Functions to write python program.pptx
use of Functions to write python program.pptxrahulsinghsikarwar2
Â
The document discusses functions in Python, explaining their purpose to group statements for reuse and minimize redundancy. It details the use of 'def' to create functions, the role of 'return' and 'yield' in handling function outputs, and highlights procedural decomposition. Examples illustrate how to define functions and apply them, such as solving quadratic equations using user inputs.Exception handling.pptx
Exception handling.pptxNISHASOMSCS113
Â
Exceptions in Python represent errors and unexpected events that occur during program execution. There are several ways to handle exceptions in Python code:
1. Try and except blocks allow catching specific exceptions, with except blocks handling the exception.
2. Multiple except blocks can handle different exception types. The else block runs if no exception occurs.
3. Exceptions can be raised manually with raise or instantiated before raising. Finally blocks ensure code runs regardless of exceptions.Exception handling in python and how to handle it
Exception handling in python and how to handle its6901412
Â
The document covers Python exception handling, explaining how exceptions disrupt the normal flow of a program and how to handle them using try-except blocks. It details various structures such as handling multiple exceptions and the use of finally and else clauses, alongside examples. Additionally, it discusses raising exceptions and creating user-defined exceptions for more specific error handling.Working with functions.pptx. Hb.
Working with functions.pptx. Hb.sabarivelan111007
Â
The document serves as an introduction to Python functions, detailing their purpose, structure, and types such as user-defined, built-in, and lambda functions. It outlines how to define functions with proper syntax, including function arguments and the return statement, while highlighting advantages like code modularity and reusability. Additionally, it covers the flow of function execution, variable scopes, and practical examples for better understanding.04_python_functions.ppt You can define functions to provide the required func...
04_python_functions.ppt You can define functions to provide the required func...anaveenkumar4
Â
The document provides an overview of functions in Python, highlighting key aspects such as function definitions, dynamic and strong typing, parameter handling, and return values. It explains concepts like first-class functions, lambda notation, and functional programming features such as map, filter, and reduce. Additionally, it discusses the limitations of lambda expressions and emphasizes the lack of function overloading in Python.Tuples, Dicts and Exception Handling
Tuples, Dicts and Exception HandlingPranavSB
Â
The document outlines various Python programming concepts, including functions, data structures like tuples and dictionaries, and exception handling techniques. It provides examples and methods associated with these concepts, emphasizing the use of immutable data with tuples and the handling of exceptions for robust code. Additionally, it includes assignments for practical application of learned topics, encouraging the reader to implement and practice Python programming skills.Python_UNIT-I.pptx
Python_UNIT-I.pptxmustafatahertotanawa1
Â
Functions allow programmers to organize and structure their code by splitting it into reusable blocks. There are two types of functions: built-in functions that are predefined in Python, and user-defined functions that programmers create. Functions make code easier to debug, test and maintain by dividing programs into separate, reusable parts. Functions can take arguments as input and return values. Function definitions do not alter the normal flow of a program's execution, but calling a function causes the program flow to jump to the function code and then return to pick up where it left off.Exception Handling on 22nd March 2022.ppt
Exception Handling on 22nd March 2022.pptRaja Ram Dutta
Â
The document discusses Python exception handling. It defines what exceptions are, how to handle exceptions using try and except blocks, and how to raise user-defined exceptions. Some key points:
- Exceptions are errors that disrupt normal program flow. The try block allows running code that may raise exceptions. Except blocks define how to handle specific exceptions.
- Exceptions can be raised manually using raise. User-defined exceptions can be created by subclassing built-in exceptions.
- Finally blocks contain cleanup code that always runs whether an exception occurred or not.
- Except blocks can target specific exceptions or use a generic except to handle any exception. Exception arguments provide additional error information.Python Unit II.pptx
Python Unit II.pptxsarthakgithub
Â
Types of errors include syntax errors, logical errors, and runtime errors. Exceptions are errors that occur during program execution. When an exception occurs, Python generates an exception object that can be handled to avoid crashing the program. Exceptions allow errors to be handled gracefully. The try and except blocks are used to catch and handle exceptions. Python has a hierarchy of built-in exceptions like ZeroDivisionError, NameError, and IOError.33aa27cae9c84fd12762a4ecdc288df822623524-1705207147822.ppt
33aa27cae9c84fd12762a4ecdc288df822623524-1705207147822.pptsvijaycdac
Â
This document explains Python exception handling, detailing what exceptions are, how to use try-except blocks to manage them, and the syntax involved. It covers handling multiple exceptions, using finally and else clauses, and defining user-created exceptions through class inheritance. Examples illustrate how to raise exceptions and capture specific error information in custom exception classes.Exception Handling
Exception Handlingbaabtra.com - No. 1 supplier of quality freshers
Â
This document discusses exceptions in Python programming. It defines an exception as an event that disrupts normal program flow, such as a runtime error. The document explains how to handle exceptions using try and except blocks. Code is provided to demonstrate catching specific exception types, catching all exceptions, and raising new exceptions. Finally, it notes that exceptions can provide additional error details through arguments.Python Programming Course Presentations
Python Programming Course PresentationsDreamerInfotech
Â
This document provides an extensive overview of Python programming, covering fundamental concepts such as data types, control structures, functions, and object-oriented programming principles like classes, inheritance, encapsulation, and polymorphism. It emphasizes the language's simplicity and versatility for various applications, highlighting career opportunities available to Python developers. Additionally, it includes technical details on Python syntax, modules, and file handling, as well as exception handling mechanisms.Function in Python function in python.pptx
Function in Python function in python.pptxJHILIPASAYAT
Â
The document provides an overview of Python functions, including their definition, types, syntax, and usage of parameters. It discusses user-defined functions, built-in functions, lambda functions, and key concepts such as scope, lifetime, and argument types. Additionally, it includes examples of various functions to demonstrate their functionality and how to apply them in different scenarios.Python unit 3 and Unit 4
Python unit 3 and Unit 4Anandh Arumugakan
Â
This document discusses control flow and control structures in programming, including conditional structures like if/else statements and repetition structures like while and for loops.
It provides examples of simple if statements, if/else statements, if/elif/else statements, and nested if statements. It also discusses indefinite loops with while and definite loops with for, and how to break and continue loops.
Finally, it covers pass and return statements, local and global scopes, function composition, lambda functions, string slicing, string methods, and that strings are immutable in Python.module 2.pptx
module 2.pptxmahendranaik18
Â
This document discusses Python conditional statements, loops, functions, and lambda functions. It covers:
- If/else statements and conditional operators like ==, !=, <, > for comparisons
- While and for loops
- Defining functions with def and passing arguments, returning values
- Built-in functions like map() and filter()
- Anonymous lambda functions
- Nesting of if statements and for loopsIntroduction to Python Basics
Introduction to Python BasicsRaghunath A
Â
Python is an open source, general-purpose programming language that is easy to use and learn. It supports object-oriented programming and has extensive libraries for tasks like working with arrays and matrices. Python code is written in plain text and uses whitespace indentation to denote code blocks rather than curly braces. It supports common data types like integers, floats, and strings. Functions are defined using the def keyword and can take arguments. Conditionals, loops, exceptions, and other control flow structures allow Python code to respond dynamically to different situations.Ad
Recently uploaded (20)
NVIDIA Triton Inference Server, a game-changing platform for deploying AI mod...
NVIDIA Triton Inference Server, a game-changing platform for deploying AI mod...Tamanna36
Â
NVIDIA Triton Inference Server! 🌟
Learn how Triton streamlines AI model deployment with dynamic batching, support for TensorFlow, PyTorch, ONNX, and more, plus GPU-optimized performance. From YOLO11 object detection to NVIDIA Dynamo’s future, it’s your guide to scalable AI inference.
Check out the slides and share your thoughts! 👇
#AI #NVIDIA #TritonInferenceServer #MachineLearningThe Influence off Flexible Work Policies
The Influence off Flexible Work Policiessales480687
Â
This topic explores how flexible work policies—such as remote work, flexible hours, and hybrid models—are transforming modern workplaces. It examines the impact on employee productivity, job satisfaction, work-life balance, and organizational performance. The topic also addresses challenges such as communication gaps, maintaining company culture, and ensuring accountability. Additionally, it highlights how flexible work arrangements can attract top talent, promote inclusivity, and adapt businesses to an evolving global workforce. Ultimately, it reflects the shift in how and where work gets done in the 21st century.Artigo - Playing to Win.planejamento docx
Artigo - Playing to Win.planejamento docxKellyXavier15
Â
Excelente artifo para quem está iniciando processo de aquisiçãode planejamento estratégicoMicrosoft Power BI - Advanced Certificate for Business Intelligence using Pow...
Microsoft Power BI - Advanced Certificate for Business Intelligence using Pow...Prasenjit Debnath
Â
Completed Power BI - Advanced Masterclass from Skill NationPrescriptive Process Monitoring Under Uncertainty and Resource Constraints: A...
Prescriptive Process Monitoring Under Uncertainty and Resource Constraints: A...Mahmoud Shoush
Â
We introduced Black-Box Prescriptive Process Monitoring (BB-PrPM) – a reinforcement learning approach that learns when, whether, and how to intervene in business processes to boost performance under real-world constraints.
This work is presented at the International Conference on Advanced Information Systems Engineering CAiSE Conference #CAiSE2025
All the DataOps, all the paradigms .
All the DataOps, all the paradigms .Lars Albertsson
Â
Data warehouses, lakes, lakehouses, streams, fabrics, hubs, vaults, and meshes. We sometimes choose deliberately, sometimes influenced by trends, yet often get an organic blend. But the choices have orders of magnitude in impact on operations cost and iteration speed. Let's dissect the paradigms and their operational aspects once and for all.Presentation by Tariq & Mohammed (1).pptx
Presentation by Tariq & Mohammed (1).pptxAbooddSandoqaa
Â
this presenration is talking about data and analaysis and caucusus analysis of the rotten egg tommetos and viral infections Residential Zone 4 for industrial village
Residential Zone 4 for industrial villageMdYasinArafat13
Â
based on assumption that failure of such a weld is by shear on the
effective area whether the shear transfer is parallel to or
perpendicular to the axis of the line of fillet weld. In fact, the
strength is greater for shear transfer perpendicular to the weld axis;
however, for simplicity the situations are treated the same.Flextronics Employee Safety Data-Project-2.pptx
Flextronics Employee Safety Data-Project-2.pptxkilarihemadri
Â
This PPT are using to show employee safetyYEAP !NOT WHAT YOU THINK aakshdjdncnkenfj
YEAP !NOT WHAT YOU THINK aakshdjdncnkenfjpayalmistryb
Â
Skdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnne
Ad