This document provides an introduction to the topic of industrial psychology. It discusses the definition and nature of industrial psychology, focusing on the scientific study of human behavior in workplace organizations. Some key points covered include the goals of improving workplace productivity and employee selection, as well as major influences on the field like scientific management and human relations approaches. The document also outlines several applications of industrial psychology principles in organizations.
Basics of Iterators and Generators,Uses of iterators and generators in python. advantage of iterators and generators. difference between generators and iterators.
The document is a presentation submitted by Harpreet Kaur on data communications. It contains information on various topics related to data communications including an introduction to data communication, components of data communication such as sender, receiver, message, transmission medium and protocol. It also discusses data flow modes, analog and digital signals, types of transmission media including guided media such as coaxial cable, twisted pair cable and fiber optic cable, and unguided media. Finally, it covers networking devices such as modem, hub, switch and router.
This document summarizes a project report on why customers choose to shop at Pantaloon stores in Patna, India. A survey was conducted with 50 respondents at a Pantaloon store, including housewives, professionals, and students. The primary reasons identified for choosing Pantaloon were its ambience, low prices, and convenience. Respondents also provided suggestions such as having more staff during sales and adding more seating and product variety.
This document discusses different types of operators in Python programming. It defines operators as symbols that represent operations that can be performed on operands or values. The main types of operators covered are: arithmetic operators for mathematical operations, relational operators for comparisons, logical operators for Boolean logic, assignment operators for assigning values, and special operators like identity and membership. Examples are provided to demonstrate the usage of each operator type.
This document discusses loops in Python. It introduces loops as a way to repeat instructions multiple times until a condition is met. The two main types of loops in Python are for loops, which iterate over a sequence, and while loops, which execute statements as long as a condition is true. It provides examples of for and while loops and covers else statements, loop control statements like break and continue, and some key points about loops in Python.
We will discuss the following: Sorting Algorithms, Counting Sort, Radix Sort, Merge Sort.Algorithms, Time Complexity & Space Complexity, Algorithm vs Pseudocode, Some Algorithm Types, Programming Languages, Python, Anaconda.
The document discusses strings in Python. It describes that strings are immutable sequences of characters that can contain letters, numbers and special characters. It covers built-in string functions like len(), max(), min() for getting the length, maximum and minimum character. It also discusses string slicing, concatenation, formatting, comparison and various string methods for operations like conversion, formatting, searching and stripping whitespace.
Python provides numerous built-in functions that are readily available to us at the Python prompt. Some of the functions like input() and print() are widely used for standard input and output operations respectively.
Sets are unordered collections of unique elements. Elements within a set cannot be accessed by index since sets are unordered. Common set operations include union, intersection, difference, and symmetric difference. Sets can be created using curly brackets or the set() function. Items can be added and removed from sets using methods like add(), remove(), discard(), and clear(). The length of a set can be determined using len(). Mathematical set relationships like subset, superset, and disjointness can be tested using methods like issubset(), issuperset(), and isdisjoint().
Exception handling in Python allows programmers to handle errors and exceptions that occur during runtime. The try/except block handles exceptions, with code in the try block executing normally and code in the except block executing if an exception occurs. Finally blocks ensure code is always executed after a try/except block. Programmers can define custom exceptions and raise exceptions using the raise statement.
Python functions allow for reusable code through defining functions, passing arguments, returning values, and setting scopes. Functions can take positional or keyword arguments, as well as variable length arguments. Default arguments allow functions to specify default values for optional parameters. Functions are objects that can be assigned to variables and referenced later.
The document discusses strings in C programming. It defines strings as sequences of characters stored as character arrays that are terminated with a null character. It covers string literals, declaring and initializing string variables, reading and writing strings, and common string manipulation functions like strlen(), strcpy(), strcmp(), and strcat(). These functions allow operations on strings like getting the length, copying strings, comparing strings, and concatenating strings.
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.
This document discusses functions and methods in Python. It defines functions and methods, and explains the differences between them. It provides examples of defining and calling functions, returning values from functions, and passing arguments to functions. It also covers topics like local and global variables, function decorators, generators, modules, and lambda functions.
The document discusses functions in C programming. It defines functions as self-contained blocks of code that perform a specific task. Functions make a program more modular and easier to debug by dividing a large program into smaller, simpler tasks. Functions can take arguments as input and return values. Functions are called from within a program to execute their code.
This document discusses stacks and queues as linear data structures. It defines stacks as last-in, first-out (LIFO) collections where the last item added is the first removed. Queues are first-in, first-out (FIFO) collections where the first item added is the first removed. Common stack and queue operations like push, pop, insert, and remove are presented along with algorithms and examples. Applications of stacks and queues in areas like expression evaluation, string reversal, and scheduling are also covered.
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.
A Python dictionary is an unordered collection of key-value pairs where keys must be unique and immutable. It allows fast lookup of values using keys. Dictionaries can be created using curly braces and keys are used to access values using indexing or the get() method. Dictionaries are mutable and support various methods like clear(), copy(), pop(), update() etc to modify or retrieve data.
Tuples are similar to lists but are immutable. They use parentheses instead of square brackets and can contain heterogeneous data types. Tuples can be used as keys in dictionaries since they are immutable. Accessing and iterating through tuple elements is like lists but tuples do not allow adding or removing items like lists.
This document provides information about dictionaries in Python. It defines dictionaries as mutable containers that store key-value pairs, with keys being unique and values being of any type. It describes dictionary syntax and how to access, update, delete and add elements. It notes that dictionary keys must be immutable like strings or numbers, while values can be any type. Properties of dictionary keys like no duplicate keys and keys requiring immutability are also summarized.
This document discusses input and output operations in C programming. It explains that input/output functions provide the link between the user and terminal. Standard input functions like scanf() are used to read data from keyboard while standard output functions like printf() display results on screen. Formatted functions like scanf() and printf() allow input/output to be formatted according to requirements. Unformatted functions like getchar() and putchar() deal with single characters. The standard library stdio.h provides predefined functions for input and output in C.
In this module of python programming you will be learning about control statements. A control statement is a statement that determines whether other statements will be executed. An if statement decides whether to execute another statement, or decides which of two statements to execute. A loop decides how many times to execute another statement.
The document discusses different types of conditional and control statements in Python including if, if-else, elif, nested if-else, while, for loops, and else with loops.
It provides the syntax and examples of each statement type. The if statement and if-else statement are used for simple decision making. The elif statement allows for chained conditional execution with more than two possibilities. Nested if-else allows if/elif/else statements within other conditionals. While and for loops are used to repeatedly execute blocks of code, with while looping until a condition is false and for looping over sequences. The else statement with loops executes code when the loop condition is false.
The document provides an introduction to programming with Python. It discusses key concepts like code, syntax, output, and consoles. It also covers compiling vs interpreting languages, with Python being an interpreted language. The document explains expressions, variables, basic math operations, and functions in Python like print and input. It introduces control structures like if/else statements, for loops, and while loops. It also covers different data types in Python including numbers, strings, lists, and dictionaries.
Python provides numerous built-in functions that are readily available to us at the Python prompt. Some of the functions like input() and print() are widely used for standard input and output operations respectively.
Sets are unordered collections of unique elements. Elements within a set cannot be accessed by index since sets are unordered. Common set operations include union, intersection, difference, and symmetric difference. Sets can be created using curly brackets or the set() function. Items can be added and removed from sets using methods like add(), remove(), discard(), and clear(). The length of a set can be determined using len(). Mathematical set relationships like subset, superset, and disjointness can be tested using methods like issubset(), issuperset(), and isdisjoint().
Exception handling in Python allows programmers to handle errors and exceptions that occur during runtime. The try/except block handles exceptions, with code in the try block executing normally and code in the except block executing if an exception occurs. Finally blocks ensure code is always executed after a try/except block. Programmers can define custom exceptions and raise exceptions using the raise statement.
Python functions allow for reusable code through defining functions, passing arguments, returning values, and setting scopes. Functions can take positional or keyword arguments, as well as variable length arguments. Default arguments allow functions to specify default values for optional parameters. Functions are objects that can be assigned to variables and referenced later.
The document discusses strings in C programming. It defines strings as sequences of characters stored as character arrays that are terminated with a null character. It covers string literals, declaring and initializing string variables, reading and writing strings, and common string manipulation functions like strlen(), strcpy(), strcmp(), and strcat(). These functions allow operations on strings like getting the length, copying strings, comparing strings, and concatenating strings.
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.
This document discusses functions and methods in Python. It defines functions and methods, and explains the differences between them. It provides examples of defining and calling functions, returning values from functions, and passing arguments to functions. It also covers topics like local and global variables, function decorators, generators, modules, and lambda functions.
The document discusses functions in C programming. It defines functions as self-contained blocks of code that perform a specific task. Functions make a program more modular and easier to debug by dividing a large program into smaller, simpler tasks. Functions can take arguments as input and return values. Functions are called from within a program to execute their code.
This document discusses stacks and queues as linear data structures. It defines stacks as last-in, first-out (LIFO) collections where the last item added is the first removed. Queues are first-in, first-out (FIFO) collections where the first item added is the first removed. Common stack and queue operations like push, pop, insert, and remove are presented along with algorithms and examples. Applications of stacks and queues in areas like expression evaluation, string reversal, and scheduling are also covered.
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.
A Python dictionary is an unordered collection of key-value pairs where keys must be unique and immutable. It allows fast lookup of values using keys. Dictionaries can be created using curly braces and keys are used to access values using indexing or the get() method. Dictionaries are mutable and support various methods like clear(), copy(), pop(), update() etc to modify or retrieve data.
Tuples are similar to lists but are immutable. They use parentheses instead of square brackets and can contain heterogeneous data types. Tuples can be used as keys in dictionaries since they are immutable. Accessing and iterating through tuple elements is like lists but tuples do not allow adding or removing items like lists.
This document provides information about dictionaries in Python. It defines dictionaries as mutable containers that store key-value pairs, with keys being unique and values being of any type. It describes dictionary syntax and how to access, update, delete and add elements. It notes that dictionary keys must be immutable like strings or numbers, while values can be any type. Properties of dictionary keys like no duplicate keys and keys requiring immutability are also summarized.
This document discusses input and output operations in C programming. It explains that input/output functions provide the link between the user and terminal. Standard input functions like scanf() are used to read data from keyboard while standard output functions like printf() display results on screen. Formatted functions like scanf() and printf() allow input/output to be formatted according to requirements. Unformatted functions like getchar() and putchar() deal with single characters. The standard library stdio.h provides predefined functions for input and output in C.
In this module of python programming you will be learning about control statements. A control statement is a statement that determines whether other statements will be executed. An if statement decides whether to execute another statement, or decides which of two statements to execute. A loop decides how many times to execute another statement.
The document discusses different types of conditional and control statements in Python including if, if-else, elif, nested if-else, while, for loops, and else with loops.
It provides the syntax and examples of each statement type. The if statement and if-else statement are used for simple decision making. The elif statement allows for chained conditional execution with more than two possibilities. Nested if-else allows if/elif/else statements within other conditionals. While and for loops are used to repeatedly execute blocks of code, with while looping until a condition is false and for looping over sequences. The else statement with loops executes code when the loop condition is false.
The document provides an introduction to programming with Python. It discusses key concepts like code, syntax, output, and consoles. It also covers compiling vs interpreting languages, with Python being an interpreted language. The document explains expressions, variables, basic math operations, and functions in Python like print and input. It introduces control structures like if/else statements, for loops, and while loops. It also covers different data types in Python including numbers, strings, lists, and dictionaries.
Python is an interpreted programming language that can be used to perform calculations, handle text, and control program flow. It allows variables to store values that can later be used in expressions. Common operations include arithmetic, printing output, accepting user input, and repeating tasks using for loops and conditional statements like if/else. The interpreter executes Python code directly without a separate compilation step required by other languages.
The document provides an introduction to programming with Python. It discusses key concepts like code, syntax, output, and consoles. It also covers compiling vs interpreting languages, with Python being an interpreted language. The document explains expressions, variables, basic math operations, and functions in Python like print and input. It introduces control structures like if/else statements and for/while loops. It also covers different data types in Python including numbers, strings, lists, and dictionaries.
This document provides instructions on installing Python 3 on Ubuntu and Windows operating systems. It discusses installing Python 3.8 on Ubuntu using the apt install command and verifying the installation with the python --version command. It also outlines downloading the Python installer, running the executable, adding Python to environment variables, and verifying the installation on Windows. The document further explains installing iPython using pip and provides examples of using boolean values, conditionals, loops, functions, and strings in Python programs.
This document provides an overview of key concepts in programming and Python. It defines terms like code, syntax, output, console, compiling, interpreting, and variables. It explains Python as an interpreted language and shows examples of printing output, taking user input, performing calculations with numbers and math commands, using variables, and basic control structures like if/else and loops. It also covers data types like integers, floats, strings, lists, and how to modify and format them.
This document provides an overview of the basics of Python. It discusses code or source code, syntax, output, the console, compiling vs interpreting, the Python interpreter, expressions, operators, integer and real numbers, math commands, variables, print statements, input, the for loop, range, if/else statements, while loops, logic, and loop control statements. It also covers data types like numbers, strings, lists, sets, and dictionaries.
This document discusses conditional statements in Python. It introduces if, if-else, and if-elif-else constructs for decision making. Logical operators like and and or are also covered. The ternary operator provides another way to write conditional expressions. The get construct allows implementing conditional logic similar to a switch statement using dictionaries. Examples demonstrate taking input from the user and validating it, finding the greatest of three numbers, and conditionally executing code based on dictionary lookups. Proper indentation is emphasized as it determines code blocks in Python.
This document outlines control structures in programming, including selection structures like if/else and repetition structures like while and for loops. It provides examples of algorithms using pseudocode and C++ code that employ counter-controlled and sentinel-controlled repetition. Key concepts covered include flowcharts, logical operators, and avoiding logic errors. Nested control structures and the switch statement are also discussed.
The document discusses loops and repetition structures in C++. It explains while loops, their syntax, and how they work. A while loop repeats actions while a condition is true. Each iteration, the condition is evaluated. If true, the loop body executes and control returns to the condition. If false, execution continues after the loop. Pseudocode and C++ code examples are provided to illustrate how a while loop can be used to repeatedly purchase items from a shopping list until it is empty. Flowcharts further demonstrate the flow of control in a while loop.
Python programming language provides the following types of loops to handle looping requirements:
1. While
2. Do While
3. For loop
Python provides three ways for executing the loops. While all the ways provide similar basic functionality, they differ in their syntax and condition-checking time.
This document discusses C programming concepts including data types, variables, operators, conditional statements, loops, and functions. It contains code examples to find the size of different data types, if/else statements, for/while loops, break/continue statements, and switch statements. The key points covered are:
- Using the sizeof operator to determine the size of int, float, double, char, and other variable types.
- If/else and if/else ladder conditional statements for comparing values.
- For, while, and do-while loop structures for iteration.
- Break and continue statements for early loop termination or skipping iterations.
- Switch statement for multiple conditional comparisons using case labels.
The document describes a modular C programming directory structure that contains subdirectories for different C programming concepts like arrays, functions, strings, structures, etc. Each subdirectory contains C source code files that demonstrate examples for the given concept. The document also provides brief introductions and explanations for basic C programming topics like variables, data types, operators, decision making statements, loops, functions and pointers.
Looping statements allow executing code multiple times. There are different types of looping statements like for, while, and nested loops. The for loop iterates over a sequence like a list or string. It runs the block of code for each item in the sequence. The while loop repeats a block of code as long as a condition is true. Nested loops allow placing one loop within another loop to iterate multiple times.
A list in Python is a mutable ordered sequence of elements of any data type. Lists can be created using square brackets [] and elements are accessed via indexes that start at 0. Some key characteristics of lists are:
- They can contain elements of different types
- Elements can be modified, added, or removed
- Common list methods include append(), insert(), remove(), pop(), and sort()
This document provides an overview of basic Python programming concepts including programming languages, compilers, interpreters, linkers, loaders, Python syntax checking, Python virtual machine, commenting in Python, Python character sets, tokens, literals, variables, keywords, operators, delimiters, and the print function. It explains key elements like machine language uses 0s and 1s, high level languages are easier for humans, compilers translate to machine code while interpreters convert line by line, and linkers combine program modules into a single executable.
data mining, data preprocessing, data cleaning, knowledge discovery, association, classification, clustering, introduction, why data mining, application
The document discusses basics of computer networks. It defines data communication and its key characteristics like delivery, accuracy and timeliness. The basic components of a communication model are identified as the message, protocol, sender, receiver and transmission medium. Different data types like text, numbers, images, audio and video are represented as bit patterns for transmission. Types of networks like personal area network, local area network, wide area network, campus area network and metropolitan area network are classified based on their geographical span, interconnectivity, administration and architecture.
The document discusses virtualization concepts written by S.P. Siddique Ibrahim of Kumaraguru College of Technology. It describes para-virtualization where the guest operating system is recompiled before installation to act as an interface for the hardware, which somewhat increases performance by minimizing overhead compared to other virtualization methods.
OSI layers describes how the data can be send from one parties to another during data communication. it also gives the detailed information of how the data functionally divided into small pieces and reaches the destination.
This document provides instructions for creating and managing MySQL databases. It describes how to create a database, display existing databases, select a database to work with, remove databases, create user accounts, grant privileges to users, connect to the MySQL server using a user account, reset passwords, and revoke privileges from users. Key steps include using SQL statements like CREATE DATABASE, SHOW DATABASES, USE, DROP DATABASE, CREATE USER, GRANT, and REVOKE.
This document provides instructions for installing and getting started with MySQL. It discusses downloading MySQL or using XAMPP/LAMP, connecting to MySQL from the command line, issuing basic commands like SELECT and QUIT, and finding help documentation. The goal is to create a simple database with tables, insert/update/delete data, and write basic and advanced SQL queries including joins, aggregates, and subqueries.
pipelining is the concept of decomposing the sequential process into number of small stages in which each stage execute individual parts of instruction life cycle inside the processor.
hardwired control is the system level communication in which how the control signal generate by processor with the help of conditional codes, external output and counter circuits
An I/O interface consists of circuitry that connects input/output devices to a computer system. It has a data path that transfers data between the interface and device bidirectionally. The interface contains a buffer, status flags, and address decoding circuitry. It also performs any necessary format conversions such as parallel to serial for serial ports, which transmit data one bit at a time for long distance communication, while parallel ports transfer data simultaneously using multiple pins and having a simpler circuit.
interrupt is a concept of solution of better cpu utilization. when the more routine is happening inside the processor then how it should technically share the resource without interruption.
Interrupts allow input/output devices to alert the processor when they are ready. When an interrupt request occurs, the processor saves its context and jumps to an interrupt service routine. It then acknowledges the interrupt and restores its context before returning to the original instruction. Processors have mechanisms for prioritizing interrupts and enabling/disabling them to avoid infinite loops or unintended requests.
This PPT describe the use of direct memory access and how the input and output devices exchange the data with processor without interruption like waiting for address fetch.
The document discusses input/output organization in computers. It explains that all input/output devices connect to the computer via a bus that allows exchange of address, data and control signals. Each device is assigned a unique address. When the processor requests a read or write, the requested data is placed on the data lines and the address is sent to the address lines. Commonly used I/O mechanisms include interrupts and direct memory access. Memory mapped I/O allows I/O devices and memory to share the same address space.
Stacks are data structures that follow LIFO (last in, first out) ordering. Elements can only be added to or removed from one end, called the top. Stacks are used to maintain information between main programs and subroutines. Elements are pushed onto the stack by decrementing the stack pointer and storing the element, and popped off by incrementing the stack pointer after retrieving the element. Operations must check that the stack is not empty before popping or full before pushing to prevent errors.
Metadata contains answers to questions about the data in a data warehouse. It is stored in a metadata repository and describes pertinent details about the data to users, developers, and the project team. Metadata is necessary for using, building, and administering the data warehouse as it provides information about data extraction, transformations, structure, refreshment, and more. It serves important roles for both business users and IT staff across the data acquisition, storage, and delivery processes.
The document discusses the key functions of ETL (extract, transform, load) processes which are important for reshaping relevant data from source systems into useful information stored in a data warehouse. It examines the challenges and techniques for data extraction and the wide range of transformation tasks. It also explains that ETL encompasses extracting data from source systems, transforming it into appropriate formats for the data warehouse, and loading it into the data warehouse repository.
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john
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Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
ย
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
ย
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
๐ Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
๐ Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
ย
Weโre bringing the TDX energy to our community with 2 power-packed sessions:
๐ ๏ธ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
๐ Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
ย
Impelsys provided a robust testing solution, leveraging a risk-based and requirement-mapped approach to validate ICU Connect and CritiXpert. A well-defined test suite was developed to assess data communication, clinical data collection, transformation, and visualization across integrated devices.
Procurement Insights Cost To Value Guide.pptxJon Hansen
ย
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement โ not a competitor โ to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
Learn more about this value- driven proprietary service offering here.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
ย
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
ย
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Hands On: Create a Lightning Aura Component with force:RecordDataLynda Kane
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Slide Deck from the 3/26/2020 virtual meeting of the Cleveland Developer Group presentation on creating a Lightning Aura Component using force:RecordData.
"Client Partnership โ the Path to Exponential Growth for Companies Sized 50-5...Fwdays
ย
Why the "more leads, more sales" approach is not a silver bullet for a company.
Common symptoms of an ineffective Client Partnership (CP).
Key reasons why CP fails.
Step-by-step roadmap for building this function (processes, roles, metrics).
Business outcomes of CP implementation based on examples of companies sized 50-500.
Automation Dreamin' 2022: Sharing Some Gratitude with Your UsersLynda Kane
ย
Slide Deck from Automation Dreamin'2022 presentation Sharing Some Gratitude with Your Users on creating a Flow to present a random statement of Gratitude to a User in Salesforce.
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
ย
Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
ย
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
๐ Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
๐จโ๐ซ Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
How Can I use the AI Hype in my Business Context?Daniel Lehner
ย
๐๐จ ๐ผ๐ ๐๐ช๐จ๐ฉ ๐๐ฎ๐ฅ๐? ๐๐ง ๐๐จ ๐๐ฉ ๐ฉ๐๐ ๐๐๐ข๐ ๐๐๐๐ฃ๐๐๐ง ๐ฎ๐ค๐ช๐ง ๐๐ช๐จ๐๐ฃ๐๐จ๐จ ๐ฃ๐๐๐๐จ?
Everyoneโs talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know ๐ต๐ผ๐.
โ What exactly should you ask to find real AI opportunities?
โ Which AI techniques actually fit your business?
โ Is your data even ready for AI?
If youโre not sure, youโre not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
Leading AI Innovation As A Product Manager - Michael JidaelMichael Jidael
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Unlike traditional product management, AI product leadership requires new mental models, collaborative approaches, and new measurement frameworks. This presentation breaks down how Product Managers can successfully lead AI Innovation in today's rapidly evolving technology landscape. Drawing from practical experience and industry best practices, I shared frameworks, approaches, and mindset shifts essential for product leaders navigating the unique challenges of AI product development.
In this deck, you'll discover:
- What AI leadership means for product managers
- The fundamental paradigm shift required for AI product development.
- A framework for identifying high-value AI opportunities for your products.
- How to transition from user stories to AI learning loops and hypothesis-driven development.
- The essential AI product management framework for defining, developing, and deploying intelligence.
- Technical and business metrics that matter in AI product development.
- Strategies for effective collaboration with data science and engineering teams.
- Framework for handling AI's probabilistic nature and setting stakeholder expectations.
- A real-world case study demonstrating these principles in action.
- Practical next steps to begin your AI product leadership journey.
This presentation is essential for Product Managers, aspiring PMs, product leaders, innovators, and anyone interested in understanding how to successfully build and manage AI-powered products from idea to impact. The key takeaway is that leading AI products is about creating capabilities (intelligence) that continuously improve and deliver increasing value over time.
3. Control StructuresControl Structures
๏3 control structures
โฆ Sequential structure
๏ Built into Python
โฆ Decision/ Selection structure
๏ The if statement
๏ The if/else statement
๏ The if/elif/else statement
โฆ Repetition structure / Iterative
๏ The while repetition structure
๏ The for repetition structure
3
6. Sequence Control StructureSequence Control Structure
6
Fig. 3.1 Sequence structure flowchart with pseudo code.
add grade to total
add 1 to counter
total = total + grade;
counter = counter + 1;
7. Decision Control flowDecision Control flow
๏There will be a condition and based on
the condition parameter then the control
will be flow in only one direction.
7
24. Class ActivityClass Activity
๏# Program checks if the number is
positive or negative and displays an
appropriate message
๏# Program checks if the number is
positive or negative โGet the input from
the user also checks the zero inside the
positive value
24
25. ๏num = 3
๏# Try these two variations as well.
๏# num = -5
๏# num = 0
๏if num >= 0:
๏print("Positive or Zero")
๏else:
๏print("Negative number")
25
30. Example with Python codeExample with Python code
30
# get price from user and convert it into a float:
price = float( raw_input(โEnter the price of one tomato: โ))
if price < 1:
s = โThatโs cheap, buy a lot!โ
elif price < 3:
s = โOkay, buy a fewโ
else:
s = โToo much, buy some carrots insteadโ
print s
34. When we login to our homepage on Facebook, we have about 10
stories loaded on our newsfeed
As soon as we reach the end of the page, Facebook loads another 10
stories onto our newsfeed
This demonstrates how โwhileโ loop can be used to achieve this
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38. Listing โFriendsโ from your profile will display the names and photos of all of
your friends
To achieve this, Facebook gets your โfriendlistโ list containing all the profiles of
your friends
Facebook then starts displaying the HTML of all the profiles till the list index
reaches โNULLโ
The action of populating all the profiles onto your page is controlled by โforโ
statement
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39. 3.133.13 forfor Repetition StructureRepetition Structure
๏The for loop
โฆ Function range is used to create a list of values
๏ range ( integer )
๏ Values go from 0 up to given integer (i.e., not including)
๏ range ( integer, integer )
๏ Values go from first up to second integer
๏ range ( integer, integer, integer )
๏ Values go from first up to second integer but increases in intervals
of the third integer
โฆ This loop will execute howmany times:
for counter in range ( howmany ):
and counter will have values 0, 1,..
howmany-1
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46. ๏# Prints out 0,1,2,3,4
๏count = 0
๏while True:
๏ print(count)
๏ count += 1
๏ if count >= 5:
๏ break
๏# Prints out only odd numbers - 1,3,5,7,9
๏for x in range(10): # Check if x is even
๏ if x % 2 == 0:
๏ continue
๏ print(x)
46
49. Expression values?Expression values?
49
Python 2.2b2 (#26, Nov 16 2001, 11:44:11) [MSC 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> if 0:
... print "0 is true"
... else:
... print "0 is false"
...
0 is false
>>> if 1:
... print "non-zero is true"
...
non-zero is true
>>> if -1:
... print "non-zero is true"
...
non-zero is true
>>> print 2 < 3
1
Expressions have integer values. No true, false like in Java.
0 is false, non-0 is true.
50. 3.16 Logical Operators3.16 Logical Operators
๏Operators
โฆ and
๏ Binary. Evaluates to true if both expressions are true
โฆ or
๏ Binary. Evaluates to true if at least one expression is
true
โฆ not
๏ Unary. Returns true if the expression is false
50
Compare with &&, || and ! in Java
51. Logical operatorsLogical operators andand,, oror,, notnot
51
if gender == โfemaleโ and age >= 65:
seniorfemales = seniorfemales + 1
if iq > 250 or iq < 20:
strangevalues = strangevalues + 1
if not found_what_we_need:
print โdidnโt find itemโ
# NB: can also use !=
if i != j:
print โDifferent valuesโ
53. 3.11 Augmented Assignment3.11 Augmented Assignment
SymbolsSymbols
๏Augmented addition assignment symbols
โฆ x = x + 5 is the same as x += 5
โฆ Canโt use ++ like in Java!
๏Other math signs
โฆ The same rule applies to any other
mathematical symbol
*, **, /, %
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54. KeywordsKeywords
54
Python
keywords
and continue else for import not raise
assert def except from in or return
break del exec global is pass try
class elif finally if lambda print while
Fig. 3.2 Python keywords.
Canโt use as identifiers
55. keywordkeyword passpass : do nothing: do nothing
55
Python 2.2b2 (#26, Nov 16 2001, 11:44:11) [MSC 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> if 1 < 2:
... pass
...
Sometimes useful, e.g. during development:
if a <= 5 and c <= 5:
print โOh no, both below 5! Fix problemโ
if a > 5 and c <= 5:
pass # figure out what to do later
if a <= 5 and c > 5:
pass # figure out what to do later
if a > 5 and c > 5:
pass # figure out what to do later
56. Program OutputProgram Output
1 # Fig. 3.10: fig03_10.py
2 # Class average program with counter-controlled repetition.
3
4 # initialization phase
5 total = 0 # sum of grades
6 gradeCounter = 1 # number of grades entered
7
8 # processing phase
9 while gradeCounter <= 10: # loop 10 times
10 grade = raw_input( "Enter grade: " ) # get one grade
11 grade = int( grade ) # convert string to an integer
12 total = total + grade
13 gradeCounter = gradeCounter + 1
14
15 # termination phase
16 average = total / 10 # integer division
17 print "Class average is", average
56
Enter grade: 98
Enter grade: 76
Enter grade: 71
Enter grade: 87
Enter grade: 83
Enter grade: 90
Enter grade: 57
Enter grade: 79
Enter grade: 82
Enter grade: 94
Class average is 81
The total and counter, set to
zero and one respectively
A loop the continues as long as
the counter does not go past 10
Adds one to the counter to
eventually break the loop
Divides the total by the 10
to get the class average
57. Program OutputProgram Output1 # Fig. 3.22: fig03_22.py
2 # Summation with for.
3
4 sum = 0
5
6 for number in range( 2, 101, 2 ):
7 sum += number
8
9 print "Sum is", sum
57
Sum is 2550
Loops from 2 to 101
in increments of 2
A sum of all the even
numbers from 2 to 100
Another example
58. Program OutputProgram Output
1 # Fig. 3.23: fig03_23.py
2 # Calculating compound interest.
3
4 principal = 1000.0 # starting principal
5 rate = .05 # interest rate
6
7 print "Year %21s" % "Amount on deposit"
8
9 for year in range( 1, 11 ):
10 amount = principal * ( 1.0 + rate ) ** year
11 print "%4d%21.2f" % ( year, amount )
58
Year Amount on deposit
1 1050.00
2 1102.50
3 1157.63
4 1215.51
5 1276.28
6 1340.10
7 1407.10
8 1477.46
9 1551.33
10 1628.89
1.0 + rate is the same no matter
what, therefore it should have been
calculated outside of the loop
Starts the loop at 1 and goes to 10
59. Program OutputProgram Output
1 # Fig. 3.24: fig03_24.py
2 # Using the break statement in a for structure.
3
4 for x in range( 1, 11 ):
5
6 if x == 5:
7 break
8
9 print x,
10
11 print "nBroke out of loop at x =", x
59
1 2 3 4
Broke out of loop at x = 5
Shows that the counter does not get
to 10 like it normally would have
When x equals 5 the loop breaks.
Only up to 4 will be displayed
The loop will go from 1 to 10
60. Program OutputProgram Output
1 # Fig. 3.26: fig03_26.py
2 # Using the continue statement in a for/in structure.
3
4 for x in range( 1, 11 ):
5
6 if x == 5:
7 continue
8
9 print x,
10
11 print "nUsed continue to skip printing the value 5"
60
1 2 3 4 6 7 8 9 10
Used continue to skip printing the value 5
The value 5 will never be
output but all the others will
The loop will continue
if the value equals 5
continue skips rest of body but continues loop