Python is a general purpose, dynamic, high-level and interpreted programming language. It is used widely in data science, machine learning, web development, automation and more. Python was created in the 1990s by Guido van Rossum to be an interpreted language that bridged the gap between C and shell scripting. It has many advantages like being readable, cross-platform, having a large standard library and being open source.
This presentation educates you about Python and the reason for learning python, Key advantages of learning Python, Characteristics of Python, Hello World using Python syntax and Applications of Python.
For more topics stay tuned with Learnbay.
This presentation educates you about Python and the reason for learning python, Key advantages of learning Python, Characteristics of Python, Hello World using Python syntax and Applications of Python.
For more topics stay tuned with Learnbay.
Introduction to python -easiest way to understand python for beginners
What is Python…?
Differences between programming and scripting language
Programming Paradigms
History of Python
Scope of Python
Why do people use Python?
Installing Python
Python tutorial for beginners - Tib academyTIB Academy
Get python training through simple tutorial from TIB Academy, through this python tutorial you can lean more topics of python. you can download python tutorial free as PPT
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.
Python programming | Fundamentals of Python programming KrishnaMildain
Basic Fundamentals of Python Programming.
What is Python, History of python, Advantages, Disadvantages, feature of python, scope, and many more.
Data Structure using Python, Object Oriented Programming using
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.
Python is a versatile and widely-used high-level programming language known for its simplicity, readability, and extensive library support. Created by Guido van Rossum and first released in 1991, Python has since gained immense popularity across various domains, including web development, data science, scientific computing, artificial intelligence, and more. In this comprehensive description, we'll delve into Python's history, features, applications, and its vibrant community, highlighting why it continues to be a preferred choice for developers worldwide.
Table of Contents
Introduction to Python
Python's History and Evolution
Python's Key Features
3.1. Readability and Simplicity
3.2. High-level Language
3.3. Interpreted and Dynamic
3.4. Cross-platform Compatibility
3.5. Rich Standard Library
3.6. Community Support
Python's Application Domains
4.1. Web Development
4.2. Data Science and Machine Learning
4.3. Scientific Computing
4.4. Automation and Scripting
4.5. Game Development
4.6. Desktop Applications
Python Development Environments
5.1. IDLE
5.2. PyCharm
5.3. Jupyter Notebook
5.4. Visual Studio Code
Getting Started with Python
6.1. Installing Python
6.2. Your First Python Program
Python Syntax and Basic Concepts
7.1. Variables and Data Types
7.2. Conditional Statements
7.3. Loops
7.4. Functions
7.5. Exception Handling
Working with Python Libraries
8.1. NumPy
8.2. Pandas
8.3. Matplotlib
8.4. Scikit-Learn
Python and Web Development
9.1. Frameworks (Django, Flask)
9.2. Front-end Integration (HTML/CSS)
9.3. Database Interaction (SQL, NoSQL)
Python in Data Science
10.1. Data Analysis with Pandas
10.2. Data Visualization with Matplotlib and Seaborn
10.3. Machine Learning with Scikit-Learn
10.4. Deep Learning with TensorFlow and PyTorch
Scientific Computing with Python
11.1. Scientific Libraries (SciPy, SymPy)
11.2. Plotting and Visualization (Matplotlib)
Automation and Scripting
12.1. Automating Tasks
12.2. Scripting for System Administration
Game Development with Python
13.1. Pygame
13.2. Unity and Unreal Engine Integration
Desktop Applications with Python
14.1. Tkinter
14.2. PyQt
Python's Ecosystem and Package Management
Python Best Practices
16.1. Code Readability (PEP 8)
16.2. Documentation and Comments
16.3. Testing (Unit Testing, pytest)
16.4. Version Control (Git)
Python's Future and Trends
Conclusion
1. Introduction to Python
Python is a general-purpose, high-level programming language that was designed with a focus on code readability and simplicity. It uses an elegant and straightforward syntax that makes it easy for developers to express their ideas effectively, reducing the cost of program maintenance. Python's philosophy emphasizes the importance of code clarity and readability, which is encapsulated in the Zen of Python (PEP 20).
The language has gained immense popularity due to its versatility and a rich ecosystem of libraries and frameworks. Python is renowned for its vibrant community and extensive documentation, making it in p
Introduction to python -easiest way to understand python for beginners
What is Python…?
Differences between programming and scripting language
Programming Paradigms
History of Python
Scope of Python
Why do people use Python?
Installing Python
Python tutorial for beginners - Tib academyTIB Academy
Get python training through simple tutorial from TIB Academy, through this python tutorial you can lean more topics of python. you can download python tutorial free as PPT
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.
Python programming | Fundamentals of Python programming KrishnaMildain
Basic Fundamentals of Python Programming.
What is Python, History of python, Advantages, Disadvantages, feature of python, scope, and many more.
Data Structure using Python, Object Oriented Programming using
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.
Python is a versatile and widely-used high-level programming language known for its simplicity, readability, and extensive library support. Created by Guido van Rossum and first released in 1991, Python has since gained immense popularity across various domains, including web development, data science, scientific computing, artificial intelligence, and more. In this comprehensive description, we'll delve into Python's history, features, applications, and its vibrant community, highlighting why it continues to be a preferred choice for developers worldwide.
Table of Contents
Introduction to Python
Python's History and Evolution
Python's Key Features
3.1. Readability and Simplicity
3.2. High-level Language
3.3. Interpreted and Dynamic
3.4. Cross-platform Compatibility
3.5. Rich Standard Library
3.6. Community Support
Python's Application Domains
4.1. Web Development
4.2. Data Science and Machine Learning
4.3. Scientific Computing
4.4. Automation and Scripting
4.5. Game Development
4.6. Desktop Applications
Python Development Environments
5.1. IDLE
5.2. PyCharm
5.3. Jupyter Notebook
5.4. Visual Studio Code
Getting Started with Python
6.1. Installing Python
6.2. Your First Python Program
Python Syntax and Basic Concepts
7.1. Variables and Data Types
7.2. Conditional Statements
7.3. Loops
7.4. Functions
7.5. Exception Handling
Working with Python Libraries
8.1. NumPy
8.2. Pandas
8.3. Matplotlib
8.4. Scikit-Learn
Python and Web Development
9.1. Frameworks (Django, Flask)
9.2. Front-end Integration (HTML/CSS)
9.3. Database Interaction (SQL, NoSQL)
Python in Data Science
10.1. Data Analysis with Pandas
10.2. Data Visualization with Matplotlib and Seaborn
10.3. Machine Learning with Scikit-Learn
10.4. Deep Learning with TensorFlow and PyTorch
Scientific Computing with Python
11.1. Scientific Libraries (SciPy, SymPy)
11.2. Plotting and Visualization (Matplotlib)
Automation and Scripting
12.1. Automating Tasks
12.2. Scripting for System Administration
Game Development with Python
13.1. Pygame
13.2. Unity and Unreal Engine Integration
Desktop Applications with Python
14.1. Tkinter
14.2. PyQt
Python's Ecosystem and Package Management
Python Best Practices
16.1. Code Readability (PEP 8)
16.2. Documentation and Comments
16.3. Testing (Unit Testing, pytest)
16.4. Version Control (Git)
Python's Future and Trends
Conclusion
1. Introduction to Python
Python is a general-purpose, high-level programming language that was designed with a focus on code readability and simplicity. It uses an elegant and straightforward syntax that makes it easy for developers to express their ideas effectively, reducing the cost of program maintenance. Python's philosophy emphasizes the importance of code clarity and readability, which is encapsulated in the Zen of Python (PEP 20).
The language has gained immense popularity due to its versatility and a rich ecosystem of libraries and frameworks. Python is renowned for its vibrant community and extensive documentation, making it in p
Certainly! Here's a detailed 3000-word description of Python:
# Python: A Comprehensive Overview
Python is a high-level, versatile, and dynamically-typed programming language known for its simplicity and readability. Created by Guido van Rossum in the late 1980s, Python has since become one of the most popular programming languages worldwide. In this comprehensive overview, we will delve into the key aspects of Python, from its history and design philosophy to its syntax, libraries, and real-world applications.
## **History and Evolution of Python**
Python's history dates back to December 1989 when Guido van Rossum, a Dutch programmer, began working on it as a side project during his Christmas holidays. His aim was to create a language that emphasized code readability and allowed developers to express their ideas in fewer lines of code compared to other languages like C++ or Perl.
The first official Python release, Python 0.9.0, was released in February 1991. Python's name was inspired by Guido's love for the British comedy group Monty Python. Despite its humorous origins, Python quickly gained popularity in the software development community.
Python's major versions include Python 1.0 (1994), Python 2.0 (2000), Python 3.0 (2008), and the subsequent 3.x releases. The transition from Python 2 to Python 3 was a significant milestone in Python's history, as it involved breaking compatibility with Python 2 to introduce improvements and address some language inconsistencies. Python 2 reached its end of life on January 1, 2020, and Python 3 is now the standard and recommended version for new projects.
## **Design Philosophy: The Zen of Python**
Python's success can be attributed, in part, to its clear and guiding design principles, often referred to as "The Zen of Python" or "PEP 20" (Python Enhancement Proposal 20). These principles encapsulate the language's philosophy and provide a framework for writing clean, readable, and maintainable code. Some notable principles from "The Zen of Python" include:
- **Readability Counts:** Code should be easy to read and understand. Python's syntax enforces this with its use of indentation for block structure.
- **Simple is Better Than Complex:** Python encourages simplicity in both code design and implementation. It favors straightforward solutions over convoluted ones.
- **Explicit is Better Than Implicit:** Code should be explicit and not rely on hidden or magical behavior. This principle promotes code clarity and predictability.
- **There Should Be One-- and Preferably Only One --Obvious Way to Do It:** Python aims to provide a single, clear way to perform a specific task to reduce confusion and make code more consistent.
- **Errors Should Never Pass Silently:** Python encourages robust error handling and reporting to help developers identify and fix issues promptly.
## **Python Syntax and Language Features**
Python's syntax is known for its simplicity and readability. Here are some key languag
This presentation is a part of the COP2271C college level course taught at the Florida Polytechnic University located in Lakeland Florida. The purpose of this course is to introduce Freshmen students to both the process of software development and to the Python language.
The course is one semester in length and meets for 2 hours twice a week. The Instructor is Dr. Jim Anderson.
A video of Dr. Anderson using these slides is available on YouTube at: https://www.youtube.com/watch?feature=player_embedded&v=_LxfIQuFALY
Python was developed by Guido van Rossum in the late eighties and early nineties at the National Research Institute for Mathematics and Computer Science in the Netherlands.
Python is derived from many other languages, including ABC, Modula-3, C, C++, Algol-68, SmallTalk, and Unix shell and other scripting languages.
Python is copyrighted. Like Perl, Python source code is now available under the GNU General Public License (GPL).
Python is now maintained by a core development team at the institute, although Guido van Rossum still holds a vital role in directing its progress.
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Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.
A slightly modified version of original "An introduction to Python
for absolute beginners" slides. For credits please check the second page. I used this presentation for my school's internal Python course. thank you forviewing
Python's has a open source library for data analysis tools, web frameworks, and testing instruments and it has the largest out of any programming community.
Python- Creating Dictionary,
Accessing and Modifying key: value Pairs in Dictionaries
Built-In Functions used on Dictionaries,
Dictionary Methods
Removing items from dictionary
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4. Top Reason To Learn Python
Where is used Python Programming?
• Data Science
• Data Mining
• Desktop Applications
• Console-based Applications
• Mobile Applications
• Software Development
• Artificial Intelligence
• Web Applications
• Enterprise Applications
• 3D CAD Applications
• Machine Learning
• Computer Vision
• Image Processing Applications.
• Speech Recognitions
5. History
• Invented in Netherlands, early 90s by Guido van Rossum
• Python was conceived in the late 1980s and its implementation was
started in December 1989
• Guido Van Rossum is fan of ‘Monty Python’s Flying Circus’, this is a
famous TV show in Netherlands
• Named after Monty Python
• First public release in 1991
• Open Sourced from beginning
6. Why was python created
“My original motivation for creating Python was the perceived need for
a higher level language in the Amoeba(OS) project
I realized that the development of system administration utilities
in C was taking too long. Moreover, doing these things in the Bourne
shell wouldn’t work for a variety of reasons…….
So, there was a need for a language that would bridge the gap
between C and the shell”
- Guido Van Rossum
7. Some important Features
• Readable: Python is a very readable language.
• Easy to Learn: Learning python is easy as this is a expressive and high
level programming language.
• Cross platform: Python is available and can run on various operating
systems such as Mac, Windows, Linux, Unix etc.
• Open Source: Python is a open source programming language.
• Large standard library: Python comes with a large standard library.
8. Some important Features (contd.)
• Free: Python is free to download and use.
• Python is an example of a FLOSS (Free/Libre Open Source Software),
• Supports exception handling: An exception is an event that can
occur during program exception and can disrupt the normal flow of
program.
• Advanced features: Supports generators and list comprehensions.
• Automatic memory management: Memory is cleared and freed
automatically.
9. Integrated Development and Learning
Environment (IDLE)
• IDLE is a simple integrated development environment (IDE) that
comes with Python.
• It’s a program that allows you to type in your programs and run them
• When you first start IDLE, it starts up in the shell
• Shell is an interactive window where you can type in Python code and
see the output in the same window
10. Comparison with other languages
Java
• Typically 3-5 times shorter than equivalent Java programs
• Run-time works harder than Java’s
• Components can be developed in Java and combined to form
applications in Python
• Python can be used to prototype components into Java
implementation
11. Comparison with other languages (contd.)
Perl
• Come from similar backgrounds
• Python is more applicable than Perl
• Perl emphasizes support for common application-oriented tasks
• Python emphasizes support for common programming
methodologies
12. Comparison with other languages
C++
• Differences are similar to Java’s
• Often 5-10 times shorter than equivalent C++ code
• Python shines as a glue language; used to combine components
written in C++
13. Thrust Areas Of Python
1. Data Science
• Data science is an interdisciplinary domain that comprises of three
distinct and overlapping areas:
• How to model and summarize data like a statistician
• How to design and use algorithms to store, process, and visualize data
like a computer scientist
• How to formulate the right questions and put answers in the right
context like a domain expert
14. Thrust Areas Of Python (contd.)
2. Automation
• There are times when tasks are too niche to have standard software
for it.
• That is when scripting comes into play.
• Python allows developers to script custom automation and bring
efficiency in tasks in less time.
• Automating repetitive tasks such as sending emails & voicemails,
organizing files & folders, launching programs, filling out forms, etc.
can be automated through scripting.
15. Thrust Areas Of Python (contd.)
3. Application Development
• Python is a favourable choice for web application development.
• Python integrates well with other programming languages and has
some amazing web frameworks that boost the application
development cycle.
16. Thrust Areas Of Python (contd.)
4. AI & Machine Learning
• Python’s pre-built libraries are the reason why it is preferred for AI &
machine learning development.
• Numpy for scientific computation,
• Pybrain for machine learning tasks,
• Scipy for technical and scientific computing
• These are some of the python libraries that make it a supportive
technology for AI and ML development.
17. • There are python libraries for Natural Language & Text Processing.
• The Natural Language Toolkit (NLTK) contains open-source Python
modules, linguistic data & documentation for R&D in natural language
processing and text analytics.
• In addition to this, there are some general python libraries for
Artificial Intelligence.
• AIMA,
• SimpleAI,
• EasyAI,
• pyDatalog
Thrust Areas Of Python (contd.)
18. Thrust Areas Of Python (contd.)
5. Audio/Video Applications
• Python is a sought-after programming language for creating audio/video
applications.
• An example of this is the Spotify app that’s built using Python programming
language.
• Some of the python libraries such as PyDub, OpenCV support building
audio/video streaming apps with high-level functionality.
19. Thrust Areas Of Python (contd.)
6. Console Applications
• A console application is a computer program that’s designed for the text-
only interfaces, such as the command-line interface of Unix, DOS operating
system.
• For building console applications, there are advanced python libraries that
help in the development of fully-fledged apps for the command-line
interface.
20. Thrust Areas Of Python (contd.)
7. Desktop GUI
• Python has libraries for building desktop GUI applications.
• Camelot
• Kivy
• PyGTK
are some of the amazing libraries and tool-kits available for building
desktop GUI.