Provides an introductory level understanding of the Python Programming Language and language features. Serves as a guide for beginners and a reference to Python basics and language use cases.
This presentation provides an overview of Python, including:
- Python is an interpreted, high-level and object-oriented programming language.
- It has a simple syntax and is used for web, enterprise, and scientific applications by companies like Google, Facebook, and NASA.
- Popular reasons for using Python include its readability, large standard library, cross-platform capabilities, and emphasis on code legibility with indentation.
This document provides an agenda and overview for a Python tutorial presented over multiple sessions. The first session introduces Python and demonstrates how to use the Python interpreter. The second session covers basic Python data structures like lists, modules, input/output, and exceptions. An optional third session discusses unit testing. The document explains that Python is an easy to learn yet powerful programming language that supports object-oriented programming and high-level data structures in an interpreted, dynamic environment.
The document outlines the syllabus for a Python course, including introductions to data warehousing, Python itself, different modes in Python like file extensions and IDEs, data structures like sets and dictionaries, OS and exception handling modules, advanced topics like iterators and decorators, XML and multi-threading, web scraping, sequences and collections, lists and tuples, modules and packages, file handling, classes and objects, regular expressions, unit testing, web frameworks like Django, and GUI programming with Tkinter. The syllabus is designed to meet corporate requirements and covers many fundamental and advanced Python topics.
Python is an object-oriented programming language that allows programmers to reuse pre-existing code through objects. It has a simple syntax and is less verbose than other languages. Python code is written in source files with a .py extension and interpreted one line at a time. Source files contain libraries and main code and use comments and whitespace to organize code. The print function displays text on the screen.
This presentation provides the information on python including the topics Python features, applications, variables and operators in python, control statements, numbers, strings, print formatting, list and list comprehension, dictionaries, tuples, files, sets, boolean, mehtods and functions, lambda expressions and a sample project using Python.
This document provides an overview of the Python programming language. It discusses what Python is, its key features, who uses it, common applications, and how to download and install Python. It then covers Python syntax concepts like identifiers, keywords, multiline statements, docstrings, indentation, comments, and string formatting. The document also introduces Python data types like numbers, strings, lists, tuples, dictionaries, sets and how to work with them. It describes how to convert between number types and access/update strings and lists. Finally, it discusses Python development environments like Anaconda and Spyder.
A program is a sequence of instructions that are run by the processor. To run a program, it must be compiled into binary code and given to the operating system. The OS then gives the code to the processor to execute. Functions allow code to be reused by defining operations and optionally returning values. Strings are sequences of characters that can be manipulated using indexes and methods. Common string methods include upper() and concatenation using +.
The document provides an introduction to Python programming. It discusses key concepts like variables, data types, operators, and sequential data types. Python is presented as an interpreted programming language that uses indentation to indicate blocks of code. Comments and documentation are included to explain the code. Various data types are covered, including numbers, strings, booleans, and lists. Operators for arithmetic, comparison, assignment and more are also summarized.
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This Edureka PPT on 'Python Basics' will help you understand what exactly makes Python special and covers all the basics of Python programming along with examples.
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This document provides an overview of the Python programming language. It covers Python basics like syntax, datatypes, modules, and control structures. It also discusses topics like functions, classes, files, and popular Python modules. The document contains an agenda that outlines these topics and provides code samples to illustrate Python concepts hands-on. It aims to equip readers with foundational Python programming knowledge.
After the end of lesson you will be able to learn Python basics-What Python is? Its releases. Where we can use Python? Python Features. Tokens, comments variables etc... In out next PPT you will learn how to input and get output in Python
This document provides an introduction and overview of the Python programming language. It covers Python's history and key features such as being object-oriented, dynamically typed, batteries included, and focusing on readability. It also discusses Python's syntax, types, operators, control flow, functions, classes, imports, error handling, documentation tools, and popular frameworks/IDEs. The document is intended to give readers a high-level understanding of Python.
This document provides an introduction to the Python programming language. It covers Python's history and features, including its syntax, types, operators, control flow, functions, classes, and tools. Python is a readable, dynamic language suitable for web development, GUIs, scripting, and more. It has a focus on readability and productivity. Major companies and organizations that use Python include Google, NASA, Dropbox, IBM, Instagram, and Mozilla.
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.
Variables & Data Types In Python | EdurekaEdureka!
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This Edureka PPT on 'Variables and Data Types in Python' will help you establish a foothold on Python by helping you learn basic concepts like variables and data types. Below are the topics covered in this PPT:
Introduction To Python
Applications Of Python
Variable Declaration
Variable Data Types
Type Conversion
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The document discusses Bram Cohen's view that Python is a good language for maintainability as it has clean syntax, object encapsulation, good library support, and optional parameters, and then provides details about the history and features of the Python programming language such as being dynamically typed, having a large standard library, and being cross-platform.
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.
Python is a versatile, object-oriented programming language that can be used for web development, data analysis, and more. It has a simple syntax and is easy to read and learn. Key features include being interpreted, dynamically typed, supporting functional and object-oriented programming. Common data types include numbers, strings, lists, dictionaries, tuples, and files. Functions and classes can be defined to organize and reuse code. Regular expressions provide powerful string manipulation. Python has a large standard library and is used widely in areas like GUIs, web scripting, AI, and scientific computing.
This Edureka Python Programming tutorial will help you learn python and understand the various basics of Python programming with examples in detail. Below are the topics covered in this tutorial:
1. Python Installation
2. Python Variables
3. Data types in Python
4. Operators in Python
5. Conditional Statements
6. Loops in Python
7. Functions in Python
8. Classes and Objects
This document provides an introduction to the Python programming language. It covers Python's background, syntax, types, operators, control flow, functions, classes, tools, and IDEs. Key points include that Python is a multi-purpose, object-oriented language that is interpreted, strongly and dynamically typed. It focuses on readability and has a huge library of modules. Popular Python IDEs include Emacs, Vim, Komodo, PyCharm, and Eclipse.
This document discusses programming languages, compilers vs interpreters, and introduces Python. It explains that a programming language communicates instructions to a machine and can be used to create programs. An interpreter reads and executes code directly, while a compiler converts source code into machine code. Python is an interpreted, object-oriented language that is easy to learn yet powerful. It can be used for web, enterprise, and other applications. The document also provides basic information on Python syntax and data types.
Files in Python represent sequences of bytes stored on disk for permanent storage. They can be opened in different modes like read, write, append etc using the open() function, which returns a file object. Common file operations include writing, reading, seeking to specific locations, and closing the file. The with statement is recommended for opening and closing files to ensure they are properly closed even if an exception occurs.
Python is a high-level programming language that emphasizes code readability. It has a clear syntax and large standard library. Python can be used for system programming, GUIs, internet scripting, database programming, and more. Some key strengths of Python include being object-oriented, free, portable, powerful, easy to use and learn. Popular uses of Python include web development, scientific computing, and financial applications. The document provides an overview of Python fundamentals like data types, control flow statements, functions, classes, and modules.
Introduction to Python
What is Python?
Python is a high-level, interpreted programming language known for its simplicity and readability. It was created by Guido van Rossum and first released in 1991. Python emphasizes code readability with its clean and straightforward syntax, making it an excellent choice for beginners and experienced developers alike.
Features of Python:
Simple and Easy to Learn: Python's syntax is designed to be intuitive and readable, making it easy for beginners to grasp.
Interpreted: Python code is executed line by line by the Python interpreter, which means you can run Python code without the need for compilation.
High-Level: Python abstracts low-level details, allowing developers to focus on solving problems rather than dealing with system-level intricacies.
Dynamic Typing: Python uses dynamic typing, meaning you don't need to declare variable types explicitly. Variables can dynamically change types during execution.
Multi-paradigm: Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
Extensive Standard Library: Python comes with a vast standard library that provides support for various tasks like file I/O, networking, and more, making it highly versatile.
Portability: Python is available on various platforms, including Windows, macOS, and Linux, making it highly portable.
Community and Ecosystem: Python has a large and active community, contributing to a rich ecosystem of libraries and frameworks for various domains, such as web development, data science, machine learning, and more.
Use Cases of Python:
Web Development: With frameworks like Django and Flask, Python is widely used for building web applications.
Data Science: Python's rich ecosystem of libraries such as NumPy, Pandas, and Matplotlib makes it a popular choice for data analysis and visualization.
Machine Learning and AI: Libraries like TensorFlow, PyTorch, and scikit-learn enable developers to build machine learning models and AI applications efficiently.
Scripting: Python's simplicity and versatility make it ideal for writing scripts for automation, system administration, and more.
Game Development: Python is used in game development, both for writing game logic and scripting within game engines like Unity.
Installing Python:
To get started with Python, you need to install it on your system. You can download Python from the official website python.org and follow the installation instructions for your operating system.
Hello, World! Example:
Let's start with the traditional "Hello, World!" program in Python:
python
Copy code
print("Hello, World!")
This simple program prints "Hello, World!" to the console. It's a common starting point for learning any programming language.
Python is a versatile programming language created by Guido van Rossum in 1989. It can be used for web applications, data analysis, artificial intelligence, and more. Python code is often more concise and readable than other languages like C++ and Java due to its simple syntax and dynamic typing. It is an interpreted, object-oriented language with a large standard library and strong support for multiple programming paradigms.
The document provides an introduction to Python programming. It discusses key concepts like variables, data types, operators, and sequential data types. Python is presented as an interpreted programming language that uses indentation to indicate blocks of code. Comments and documentation are included to explain the code. Various data types are covered, including numbers, strings, booleans, and lists. Operators for arithmetic, comparison, assignment and more are also summarized.
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** Python Certification Training: https://www.edureka.co/data-science-python-certification-course **
This Edureka PPT on 'Python Basics' will help you understand what exactly makes Python special and covers all the basics of Python programming along with examples.
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This document provides an overview of the Python programming language. It covers Python basics like syntax, datatypes, modules, and control structures. It also discusses topics like functions, classes, files, and popular Python modules. The document contains an agenda that outlines these topics and provides code samples to illustrate Python concepts hands-on. It aims to equip readers with foundational Python programming knowledge.
After the end of lesson you will be able to learn Python basics-What Python is? Its releases. Where we can use Python? Python Features. Tokens, comments variables etc... In out next PPT you will learn how to input and get output in Python
This document provides an introduction and overview of the Python programming language. It covers Python's history and key features such as being object-oriented, dynamically typed, batteries included, and focusing on readability. It also discusses Python's syntax, types, operators, control flow, functions, classes, imports, error handling, documentation tools, and popular frameworks/IDEs. The document is intended to give readers a high-level understanding of Python.
This document provides an introduction to the Python programming language. It covers Python's history and features, including its syntax, types, operators, control flow, functions, classes, and tools. Python is a readable, dynamic language suitable for web development, GUIs, scripting, and more. It has a focus on readability and productivity. Major companies and organizations that use Python include Google, NASA, Dropbox, IBM, Instagram, and Mozilla.
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.
Variables & Data Types In Python | EdurekaEdureka!
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This Edureka PPT on 'Variables and Data Types in Python' will help you establish a foothold on Python by helping you learn basic concepts like variables and data types. Below are the topics covered in this PPT:
Introduction To Python
Applications Of Python
Variable Declaration
Variable Data Types
Type Conversion
Python Tutorial Playlist: https://goo.gl/WsBpKe
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The document discusses Bram Cohen's view that Python is a good language for maintainability as it has clean syntax, object encapsulation, good library support, and optional parameters, and then provides details about the history and features of the Python programming language such as being dynamically typed, having a large standard library, and being cross-platform.
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.
Python is a versatile, object-oriented programming language that can be used for web development, data analysis, and more. It has a simple syntax and is easy to read and learn. Key features include being interpreted, dynamically typed, supporting functional and object-oriented programming. Common data types include numbers, strings, lists, dictionaries, tuples, and files. Functions and classes can be defined to organize and reuse code. Regular expressions provide powerful string manipulation. Python has a large standard library and is used widely in areas like GUIs, web scripting, AI, and scientific computing.
This Edureka Python Programming tutorial will help you learn python and understand the various basics of Python programming with examples in detail. Below are the topics covered in this tutorial:
1. Python Installation
2. Python Variables
3. Data types in Python
4. Operators in Python
5. Conditional Statements
6. Loops in Python
7. Functions in Python
8. Classes and Objects
This document provides an introduction to the Python programming language. It covers Python's background, syntax, types, operators, control flow, functions, classes, tools, and IDEs. Key points include that Python is a multi-purpose, object-oriented language that is interpreted, strongly and dynamically typed. It focuses on readability and has a huge library of modules. Popular Python IDEs include Emacs, Vim, Komodo, PyCharm, and Eclipse.
This document discusses programming languages, compilers vs interpreters, and introduces Python. It explains that a programming language communicates instructions to a machine and can be used to create programs. An interpreter reads and executes code directly, while a compiler converts source code into machine code. Python is an interpreted, object-oriented language that is easy to learn yet powerful. It can be used for web, enterprise, and other applications. The document also provides basic information on Python syntax and data types.
Files in Python represent sequences of bytes stored on disk for permanent storage. They can be opened in different modes like read, write, append etc using the open() function, which returns a file object. Common file operations include writing, reading, seeking to specific locations, and closing the file. The with statement is recommended for opening and closing files to ensure they are properly closed even if an exception occurs.
Python is a high-level programming language that emphasizes code readability. It has a clear syntax and large standard library. Python can be used for system programming, GUIs, internet scripting, database programming, and more. Some key strengths of Python include being object-oriented, free, portable, powerful, easy to use and learn. Popular uses of Python include web development, scientific computing, and financial applications. The document provides an overview of Python fundamentals like data types, control flow statements, functions, classes, and modules.
Introduction to Python
What is Python?
Python is a high-level, interpreted programming language known for its simplicity and readability. It was created by Guido van Rossum and first released in 1991. Python emphasizes code readability with its clean and straightforward syntax, making it an excellent choice for beginners and experienced developers alike.
Features of Python:
Simple and Easy to Learn: Python's syntax is designed to be intuitive and readable, making it easy for beginners to grasp.
Interpreted: Python code is executed line by line by the Python interpreter, which means you can run Python code without the need for compilation.
High-Level: Python abstracts low-level details, allowing developers to focus on solving problems rather than dealing with system-level intricacies.
Dynamic Typing: Python uses dynamic typing, meaning you don't need to declare variable types explicitly. Variables can dynamically change types during execution.
Multi-paradigm: Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
Extensive Standard Library: Python comes with a vast standard library that provides support for various tasks like file I/O, networking, and more, making it highly versatile.
Portability: Python is available on various platforms, including Windows, macOS, and Linux, making it highly portable.
Community and Ecosystem: Python has a large and active community, contributing to a rich ecosystem of libraries and frameworks for various domains, such as web development, data science, machine learning, and more.
Use Cases of Python:
Web Development: With frameworks like Django and Flask, Python is widely used for building web applications.
Data Science: Python's rich ecosystem of libraries such as NumPy, Pandas, and Matplotlib makes it a popular choice for data analysis and visualization.
Machine Learning and AI: Libraries like TensorFlow, PyTorch, and scikit-learn enable developers to build machine learning models and AI applications efficiently.
Scripting: Python's simplicity and versatility make it ideal for writing scripts for automation, system administration, and more.
Game Development: Python is used in game development, both for writing game logic and scripting within game engines like Unity.
Installing Python:
To get started with Python, you need to install it on your system. You can download Python from the official website python.org and follow the installation instructions for your operating system.
Hello, World! Example:
Let's start with the traditional "Hello, World!" program in Python:
python
Copy code
print("Hello, World!")
This simple program prints "Hello, World!" to the console. It's a common starting point for learning any programming language.
Python is a versatile programming language created by Guido van Rossum in 1989. It can be used for web applications, data analysis, artificial intelligence, and more. Python code is often more concise and readable than other languages like C++ and Java due to its simple syntax and dynamic typing. It is an interpreted, object-oriented language with a large standard library and strong support for multiple programming paradigms.
PYTHON CURRENT TREND APPLICATIONS- AN OVERVIEWEditorIJAERD
Python is a powerful high-level, interpreted, interactive, and object-oriented scripting language created by
Guido Van Rossum in late 1980’s. Python is a very suitable language for the beginner level programmers and supports
the development of a wide range of applications from simple text processing to www browsers to games developments.
One of the biggest reasons for Python’s rapid growth is the simplicity of its syntax. The language reads almost like plain
English, making it easy to write complex programs. In this paper we first analyze you to Python programming language
popularity and features. Moreover, this paper specifying applications areas where python can be applied and specially
analyzing web application frameworks which are using in Python programming language
Python was created in the late 1980s by Guido van Rossum. The first version was released in 1991. It is derived from the ABC language. Python is an interpreted, object-oriented scripting language that is portable, easy to read and maintain. It has a large standard library and supports GUI, web and database applications. Major versions include Python 2.7 and Python 3.0 which introduced changes like print becoming a function. Python is widely used in areas like web development, science, education and software development.
Python is a popular programming language that can be used for a variety of tasks such as web development, software development, mathematics, and system scripting. It is an interpreted, object-oriented, high-level programming language with dynamic semantics. Python has a simple syntax and is easy to learn, which has contributed to its popularity among developers. It has a large standard library and supports many third-party libraries for specialized tasks.
Python is a versatile programming language created by Guido van Rossum in 1989. It can be used to build a wide range of applications, including desktop GUIs, web applications, data analysis, machine learning, and games. Python code is often simpler and more readable than other languages like C++ and Java due to its clear syntax and dynamic typing. It supports both procedural and object-oriented programming, and can be compiled as well as interpreted, running on many platforms.
In this powerpoint presentation you can learn about history of python programming, Features, Strengths, Applications and careers related to the python programming and also describe what global leaders use python programming
Python is an interpreted, object-oriented, high-level programming language that emphasizes code readability. It has a large standard library, dynamic typing, and is available for free on all major platforms. Python supports multiple programming paradigms including procedural, object-oriented, and functional programming. It is commonly used for web development, scripting, and rapid application development due to its simple syntax and readability.
The document provides an overview of using Python for bioinformatics, discussing what Python is, why it is useful for bioinformatics, how to set up Python in integrated development environments like Eclipse with PyDev, how to share code using Git and GitHub, and includes examples of Hello World and bioinformatics programs in Python. It introduces Python and argues it is well-suited for bioinformatics due to its extensive standard libraries, ease of use, and wide adoption in science. The document demonstrates how to install Python, set up an IDE, create and run simple Python programs, and use version control with Git and GitHub to collaborate on projects.
The document provides an overview of the history and key features of the Python programming language. It discusses that Python was created in 1989 by Guido van Rossum as an easy to use scripting language. It gained popularity through its open source model and large standard library. Key features include being easy to learn, having a clear readable syntax, being interpreted, object-oriented, cross-platform, and having a vast library of functions. Popular applications of Python include GUI programs, web development, science, education, and more.
Python is a high-level, general-purpose programming language that is easy to learn and widely used. It can be used for both procedural and object-oriented programming. Python code is executed by the Python interpreter rather than being compiled into machine code. It supports multiple programming paradigms like procedural, object-oriented, and functional programming. Common uses of Python include web development, data analysis, scientific computing, and software testing.
This document provides an overview of the Python programming language. It discusses Python's history, key features such as being easy to use, scalable, high-level, object-oriented, interpreted, and having a rich core library. It also covers Python's uses in areas like web development, databases, GUI programming, and more. The document is intended to introduce readers to Python and provide context for a book on making use of the language.
Python is an easy to learn programming language that is widely used for a variety of tasks. It has a simple syntax that allows developers to focus on solving problems rather than dealing with complex language features. Python code can be written quickly and read easily by others. It also has a large ecosystem of libraries and frameworks that support application development, data science, machine learning, and more. While not the fastest language, Python makes up for it with versatility and the ability to connect different systems through its "glue" programming capabilities.
Introduction to Python Programming BasicsDhana malar
Python is a popular high-level programming language that can be used for a wide range of applications from simple scripts to complex machine learning programs. It has a simple syntax, extensive standard library, and support for code reuse through modules and packages. Some key strengths of Python include its huge collection of standard libraries for tasks like machine learning, web development, scientific computing, and more. It is also an interpreted language, making it easy to learn and use for both simple and complex programming tasks.
Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected..
In this PPT I have described all about python like :- What is Python, History, Versions, Features, Advantages, Disadvantages, Career opportunities, Training and certifications.
This document provides an overview of the Python programming language. It discusses that Python is an easy to use, open-source scripting language (3 sentences or less).
Python has evolved over several versions since its creation in the late 1980s. Key developments include the release of Python 1.0 in 1994 and major updates like Python 2.0 in 2000 and Python 3.0 in 2008. Python draws influence from languages like ABC and Modula-3. It was named Python after the Monty Python comedy group by its creator Guido van Rossum. Python is widely used today for tasks like machine learning, AI, web development and more due to its versatility and large standard library.
Best Python Online Training with Live Project by Expert QA TrainingHub
QA Training Hub is best Python Programing Online Training Center in India. Python Online Training provided by real time working Professional Mr. Dinesh. Data Scientist and RPA Expert with 18+ years of industry experience in teaching Python. Visit: http://www.qatraininghub.com/python-online-training.php Contact: Mr. Dinesh Raju : India: +91-8977262627, USA: : +1-845-493-5018, Mail: [email protected]
Microsoft sql-server-2016 Tutorial & OverviewQA TrainingHub
This document discusses database management systems and SQL Server. It covers the different types of databases including flat file, hierarchical, network, relational, object-oriented, and object-relational models. It also discusses centralized and distributed database architectures. The document outlines some key features of SQL Server including system and user databases, Always Encrypted for encryption at rest, Stretch Database for hybrid cloud scenarios, and built-in advanced analytics capabilities. It concludes with a brief description of Query Store for query performance troubleshooting.
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Learn CSS - Cascading style Sheets to crate awsome looking for your general html Ui & Create responsive HTML Templates by understanding this css tutorial
The document provides an introduction to the UNIX operating system. It describes UNIX as a CUI operating system that serves as an interface between hardware and software and can be used on various computer types. The history of UNIX is discussed, noting it was developed at Bell Labs as an alternative to MULTICS and was later rewritten in C language. Key features of UNIX include being multi-user, multi-tasking, portable, having a hierarchical file structure, and machine independence. The document also outlines the structure and components of the UNIX operating system.
JavaScript is a client-side scripting language that was originally developed by Netscape in 1995 to add interactivity to HTML pages. It allows developers to add dynamic and interactive elements to websites. JavaScript code is embedded directly into HTML pages and is run by web browsers rather than on a server. It is an interpreted language that does not require compilation. JavaScript can validate form data, create image rollovers, handle cookies, and add other dynamic functionality to web pages.
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For reading further follow this link -
https://akash97.gumroad.com/l/meioex
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This hybrid in-person/online event will include a full day agenda, with the opportunity to socialize afterwards for in-person attendees.
If you have a hackathon proposal, tell us when you register!
About Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
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https://arxiv.org/abs/2504.21627
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Sticky Note Bullets:
Definition: Next stage beyond ChatGPT-like systems, offering true autonomy.
Core Function: Can "reason, plan, execute and adapt" independently.
Distinction: Proactive (sets own actions for goals) vs. Reactive (responds to prompts).
Promise: Acts as "digital co-workers," handling grunt work like research, drafting, bug fixing.
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Development Focus: Learning to think in workflows and goals, not just model outputs.
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Use Cases: Limited only by imagination (e.g., drafting business plans, complex simulations).
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📕 Agenda:
- Welcome & Introductions
- UiPath Studio Tips & Tricks for Efficient Development
- Best Practices for Workflow Design
- Introduction to UiPath Insights
- Creating Dashboards & Tracking KPIs (Demo)
- Q&A and Open Discussion
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This session streamed live on May 27, 18:00 CET.
Check out all our upcoming UiPath Community sessions at:
👉 https://community.uipath.com/events/
Join our UiPath Community Berlin chapter:
👉 https://community.uipath.com/berlin/
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Python | What is Python | History of Python | Python Tutorial
2. The term "scripting" is also used loosely or weakly typed or light weight programming
to refer to dynamic high-level general-purpose languages. Scripting languages are
becoming more popular due to the emergence of web-based applications.
Script languages are two main types:
1. Executing commands in batch mode
Example: .bat (MSDOS) .sh(Shell-UNIX)
2. Designed for text processing and report generation
Example: sed, awk(Aho, Weinberger, and Kernighan)
Client-side scripting languages affecting the data that the end user sees in a
browser window. Server-side scripting languages are manipulate the data,
usually in a database, on the server. Scripts are Glue code, also called binding
code, is custom-written programming that connects incompatible software
components.
3. Scripting Languages are Classified into the following two types:
1. Client Side Scripting Languages
2. Server Side Scripting Languages
CLIENT SIDE SCRIPTING LANGUAGES
The script which is running within the browser is called as client side scripting.
Live Script
JavaScript
jQuery etc.
Type Script
Action Script
VBScript
HTML (Structure)
CSS (Designing)
AJAX
4. Server Side Scripts
The Script which is running within the web server is called as
server side scripting.
Python ==>SimpleHTTPServer
ASP ==>IIS (Internet Information Services)
JSP ==>Tomcat/Sun Java System Web Server
PHP ==>Apache
CGI ==> Common Gateway Interface
Server-side JavaScript (SSJS) Example. node.js
PERL Practical Extraction and Reporting Language
R Programming Language
5. Characteristics of Interpreted Languages
1 Interpreted languages is that they require no compilation.
2 Makes them easy to learn and use
3 Assumes minimum programming knowledge or experience
4 Allows complex tasks to be performed in relatively few steps
Characteristics of Compiled Languages
1 Programming language whose implementations are typically compilers
2 Intermediate code generation
3 Code optimisation
4 Machine code generation
6. Scripting Languages:
1. Interpreted based (Read Line by Line)
2. Implicit Declaration of data types
3. Limited Support for Application Development
4. Limited Support for Graphics Design or Game(s) Development
5. Easily Integrated with other Technologies
Programming Languages:
1. Compiler based
2. Explicit Declaration of data types
3. Rich Support for Application Development
4. Rich Support for Graphics Design or Game(s) Development
5. Difficult to Inegrate with Other Technologies
8. IMPERATIVE PARADIGM
That uses statements that change a program's state. It consists of commands for the
computer to perform. Paradigm means Model or Pattern
Procedural Programming Paradigm
It is based on the concept of using procedures. Procedure (sometimes also called
subprogram, routine or method) is a sequence of commands to be executed.
Example: C, Pascal
Object-oriented Programming Paradigm
It is a programming paradigm based on the concept of "objects", which may contain
data, in the form of fields, often known as attributes.
Example: C++, Simula (Simulation Programming Language), JAVA
Mutable:
A mutable object is any object which can be modified after it’s created.
Immutable:
An immutable object is an object that can’t be modified after it’s created.
9. A style of building the structure and elements of computer programs,
that expresses the logic of a computation without describing its control
flow.
Functional Programming Paradigm
It is the process of building software by composing pure functions,
avoiding shared state, mutable data, and side-effects.
Example: LISP (List Processing)
Logical Programming Paradigm:
Logic programming is a type of programming paradigm which is largely
based on formal logic.
Example: PROLOG (Programming in Logic)
10. Python is an easy to learn, powerful programming language. The application
development process much faster and easier. Python is available under the
license GNU General Public License (GPL) or Free Software Foundation
(FSF).
OR
Python is a multi-paradigm Programming language invented by Guido Van
Rossum.
Multi-paradigm==> "paradigm" refers to object-oriented, procedural,
functional, logical, etc.
12. 1. Invented in the Netherlands in early 1990s by Guido Van Rossum at
CWI (Centrum Wiskunde & Informatica) now at Google.
2. Python was named for the BBC TV show "Monty Python's Flying
Circus".
3. Open source and interpreted language.
4. Considered a scripting language, but is much more than that
5. Scalable, object oriented and functional.
6. Used by Google and Microsoft, increasingly popular.
7. Python job trends from indeed.com shows remarkable increase
8. Python is at the top of the list among the top-Java, JavaScript and
PHP
13. Software Quality
Python focuses on readability, coherence, and software quality in general which sets it
apart from other languages in the scripting world.
Developer Productivity
Python code is typically one-third to one-fifth the size of equivalent C++ or Java code.
That means there is less to type, less to debug, and less to maintain.
Program Portability
Python programs run unchanged on all major computer platforms. For Example:
Windows, Linux, MAC OS etc.
Support Libraries
Python comes with a large collection of prebuilt and portable functionality, known as
the Standard Library
Component Integration
Python scripts can easily communicate with other parts of an application, using a
variety of integration mechanisms.
Enjoyment
Because of Python’s ease of use and built-in toolset, it makes the programming more pleasurable.
14. 1 Easy to Learn and use
2 Expressive Language
3 Interpreted Language
4 Cross-platform language (Mac OS X, Windows, Linux, and Unix)
5 Free to Install and Open Source
6 Object-Oriented language
7 Extensible, Awesome online community
8 Large Standard Library
9 GUI Programming
10 Python is easy to integrate with other language like C, C++ and
JAVA etc
15. It is an interpreted language
Might take up more CPU time.
It's near impossible to build a high-graphic 3D game using
Python.
Not Fully Object Oriented Scripting
16. 1) General-purpose programming
2) Automatic memory management
3) It has a large and comprehensive standard library
4) Python is a strong high level language
5) Python is interpreted
6) Python is reflective (ability of a program to examine the type or
properties of an object at runtime.)
7) It is a dynamical type
8) It is an open source
9) Automatic garbage collection.
10) It is a multi paradigm
17. There are a many version of python started from 1994 to current date.
Python Version Released Date
Python 1.0 January 1994
Python 2.0 16 October 2000
Python 2.7 3 July 2010 (Major Version)
Python 3.0("Py-3000“/"Py3K) 3 December 2008 (Successful version)
Python 3.3 29 September 2012
Python 3.6 December 23, 2016
import sys
print (sys.version)
import platform
platform.python_version()
18. 1. YouTube
2. Google
3. DropBox
4. RospBerryPI
5. BitTorrent
6. NASA
7. NSA
8. NETFLIX
9. Yahoo
10. Honeywell , HP , Philips and United Space Alliance
20. Web Development: Django, Pyramid, Bottle, Tornado, Flask, web2py
GUI Development: tkInter, PyGObject, PyQt, PySide, Kivy, wxPython
Scientific and Numeric: SciPy, Pandas, Ipython
Software Development: Buildbot, Trac, Roundup
System Administration: Ansible, Salt, OpenStack
DEFINE PSF
It (PSF-2001) is an organization devoted to advancing open source technology
related to the Python programming language. (PEPs ==> Python Enhancement
Proposals
Python Software Foundation
PyPI ==> Python Package Index
21. Your C/C++
Traditional Uses of Python
Program
Script.py
Artificial
Intelligence
System
Utilities
Cpython
Interpreter
GUIs(Tkinter, gtk,
Windows)
Internet
Scripting
Embedded
Scripting
Database
Programming
Image
Processing
23. There are at least five implementations of the Python language
CPython
CPython is the original Python implementation. It is the implementation you download
from Python.org
Jython
Jython is an implementation of the Python programming language designed to run on
the Java platform
IronPython
It is an open-source implementation of the Python programming language which is
tightly integrated with the .NET Framework
Stackless
Stackless Python, or Stackless, is a Python programming language interpreter. Written
in C, Python
PyPy
PyPy is an alternate implementation of the Python programming language written in
Python. Interpreter is written in RPython. are at least five implementations of the
Python language
24. 1. Keywords are the reserved words
2. We can not use a keyword as variable name, function name or
any other Indentifier
3. They are used to define the syntax and structure of the Python
Language
4. In Python keywords are case sensitive
5. There are 33 keywords in Python 3.3. version
6. This number can vary slightly in course of time
7. All the keywords except True, False, and None are in lower
case.
>>> import keyword
>>>print(keyword.kwlist)
26. Python's popularity for data science is largely due to the strength of
its core libraries
NumPy NumPy is the fundamental package for scientific computing
with Python
SciPy SciPy contains modules for optimization, linear algebra,
integration, interpolation, special functions
Pandas BSD-licensed library providing high-performance, easy-to-
use data structures and data analysis tools
Matplotlib Matplotlib is a Python 2D plotting library
IPython IPython is an interactive command-line terminal for Python
27. Popular maker architectures allow for interaction via Python:
Arduino – Indirect via serial communication
Raspberry Pi – Directly via Raspbian Image
Intel Edison/Galileo – Directly
Multiple GPIO libraries are available for each maker platform.
Communicating with IoT devices is commonly done using three
protocols:
TCP/IP
Bluetooth – Standard or Low Energy (BLE)
Near Field Communication (NFC)
NOTE: Python has libraries for all
31. Python’s traditional runtime execution model: source code you type is translated to
byte code, which is then run by the Python Virtual Machine. Your code is
automatically compiled, but then it is interpreted.
Source code extension is .py
Byte code extension is .pyc (compiled python code)