Welcome to Python for Beginners! This repository is dedicated to helping beginners learn the basics of Python programming. The aim of this repository is to provide a comprehensive introduction to the Python programming language and to help you develop the skills needed to become a confident and competent Python programmer.
Table of Contents
- Introduction to Python
- Setting up your development environment
- Basic syntax and data types
- Variables and operators
- Control flow statements (if-else, for loop, while loop)
- Functions and modules
- Exception handling
- Working with files and directories
- Classes and objects (OOP)
- Regular expressions
- Advanced topics (e.g. decorators, generators, etc.)
Python is a high-level, interpreted programming language that is widely used for web development, data analysis, artificial intelligence, and many other applications. Python has a simple and straightforward syntax, making it an excellent choice for beginners. It is also very powerful, with a large and active community of developers who contribute to its growth and development.
To start programming in Python, you'll need to have a development environment set up on your computer. You can use an Integrated Development Environment (IDE) such as PyCharm or Visual Studio Code, or a simple text editor like Notepad++ or Sublime Text. We recommend using PyCharm, as it provides many helpful tools for debugging and writing code. But for beginners I will recommend jupyter-notebook.
In this section, you'll learn about the basic syntax of the Python language and the different data types that you'll use when programming in Python. Data types include numbers (integers and floating-point numbers), strings, lists, tuples, dictionaries, and more.
Variables are used to store data in your program. You'll learn about the different types of operators in Python and how to use them to perform arithmetic operations, comparison operations, and more.
Control flow statements are used to control the flow of execution in your program. You'll learn about if-else statements, for loops, and while loops and how to use them to make decisions and perform repetitive tasks.
The Python code in the script already creates a list with the name areas and a copy named areas_copy. Next, the first element in the areas_copy list is changed and the areas list is printed out. If you hit Run Code you'll see that, although you've changed areas_copy, the change also takes effect in the areas list. That's because areas and areas_copy point to the same list.
If you want to prevent changes in areas_copy from also taking effect in areas, you'll have to do a more explicit copy of the areas list. You can do this with list() or by using [:].Functions are reusable blocks of code that can be called from anywhere in your program. Modules are collections of related functions and data that can be imported into your program to be used.
: rocket
Exception handling is used to handle errors and unexpected conditions in your program. You'll learn about the try-except statement and how to use it to catch and handle exceptions.
In this section, you'll learn how to work with files and directories in Python. This includes opening and closing files, reading from and writing to files, and more.
Classes and objects are the building blocks of object-oriented programming (OOP) in Python. You'll learn about classes, objects, inheritance, polymorphism, and other OOP concepts.
Regular expressions are a powerful tool for pattern matching and text processing. You'll learn how to use regular expressions in Python to search for and manipulate strings.
In this section, you'll learn about some advanced topics in Python programming, such as decorators, generators, and more. These topics are not necessary for beginners, but they are useful to know if you want to become a more advanced Python programmer.
Guess the Number Game - A simple game where the user has to guess a randomly generated number within a specified range.
To-Do List Application - An application where users can add and manage their to-do items. This project can cover topics such as reading and writing to files, using dictionaries, and working with functions.
Mad Libs Generator - A fun project that generates a mad lib story based on user input. This project can cover topics such as string formatting and working with user input.
Weather Application - An application that retrieves the current weather for a given location. This project can cover topics such as making API requests and working with JSON data.
Rock, Paper, Scissors Game - A simple game where two players play rock, paper, scissors against each other. This project can cover topics such as control flow and making decisions based on user input.
Tip Calculator - An application that calculates the tip for a given amount based on a specified percentage. This project can cover topics such as arithmetic operations and formatting output.
Encryption/Decryption Tool - An application that encrypts and decrypts messages using a simple substitution cipher. This project can cover topics such as working with strings and characters.
Hangman Game - A classic game where the user has to guess a word within a certain number of tries. This project can cover topics such as arrays and working with random numbers.
I hope this list gives you some inspiration for your next Python project!