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Welcome to the Essentials of Computing and Programming with Python repository! This project aims to provide comprehensive resources and examples for learning the fundamental concepts of computing and programming using the Python language.
- Introduction
- Getting Started
- Basic Concepts
- Data Structures
- Control Flow
- Functions
- Modules and Packages
- File I/O
- Error Handling
- Object-Oriented Programming
- Advanced Topics
- Projects and Exercises
- Resources
- Contributing
- License
Python is a versatile and powerful programming language that is widely used in various fields, from web development to data science and artificial intelligence. This repository is designed to help beginners and intermediate programmers gain a solid understanding of computing and programming principles using Python.
To get started with this repository, you will need to have Python installed on your computer. You can download Python from the official Python website. Additionally, you may want to use an integrated development environment (IDE) like PyCharm or Visual Studio Code.
Learn about different data types in Python, such as integers, floats, strings, and booleans, and how to use variables to store data.
Understand the use of arithmetic, comparison, logical, and assignment operators in Python.
Learn how to take input from the user and display output to the console.
Explore the list data structure, how to create and manipulate lists, and common list methods.
Understand tuples, their properties, and how they differ from lists.
Learn about dictionaries, key-value pairs, and how to use them for efficient data storage and retrieval.
Discover sets, their unique properties, and common operations that can be performed on sets.
Learn about if
, elif
, and else
statements to control the flow of your programs based on conditions.
Understand for
and while
loops to execute code repeatedly based on conditions.
Explore list comprehensions and other comprehension techniques for concise and readable code.
Learn how to define and call functions in Python to organize and reuse code.
Understand the use of parameters and arguments in functions.
Learn how to return values from functions and how to handle them.
Understand how to import and use built-in and external modules in Python.
Learn how to create your own modules to organize your code.
Discover how to use pip
to install external packages from the Python Package Index (PyPI).
Learn how to read data from files using Python.
Understand how to write data to files.
Explore techniques for handling file paths and directories.
Learn about exceptions and how to handle errors gracefully in your programs.
Understand the use of try
, except
, else
, and finally
blocks to manage exceptions.
Explore the basics of object-oriented programming, including defining classes and creating objects.
Understand how to define methods and attributes for your classes.
Learn about inheritance and how to create subclasses.
Understand the use of decorators to modify the behavior of functions or methods.
Learn about generators and how to use them for efficient iteration.
Explore context managers and the with
statement for resource management.
This section includes various projects and exercises to apply what you've learned. These projects range from simple scripts to more complex applications, providing hands-on experience.
- Python Crash Course by Eric Matthes
- Learning Python by Mark Lutz
- Fluent Python by Luciano Ramalho
Contributions are welcome! If you have any improvements, suggestions, or bug fixes, please open an issue or submit a pull request. For major changes, please discuss them in an issue first.
Click on the link below to discover a wealth of knowledge and explore a variety of engaging topics.
Medium Profile: Muhammad Abdullah Arif — Medium
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I wish you all the best in your future endeavors.