LearningPython

Compilation of examples about how to use Python for development.

This repository contains a series of Python files demonstrating various concepts and features of the Python programming language. It also includes Jupyter notebooks that consolidate these examples for easier learning and experimentation.

Python Learning Files

The following Python files cover different topics:

• 01PythonBasics.py: Basic syntax, data types, variables, and comments.
• 01bOperators.py: Arithmetic, logical, and other Python operators.
• 02VariablesStrings.py: In-depth look at variables and string manipulations.
• 03ListTupleSetDict.py: Working with Python's built-in data structures.
• 04ConditionalLoopFunction.py: Control flow (if/else, loops) and functions.
• 05ClassesModulesExceptions.py: Object-Oriented Programming, modules, and exception handling.
• 05bGenerators.py: Understanding and using generators.
• 05bModules.py: More on creating and using modules.
• 06Dates.py: Working with dates and times.
• 07Challenges.py: Common programming challenges and their solutions in Python.
• 08LambdasOtherfuncions.py: Lambda functions and other functional programming concepts.
• 09FileHandling.py: Reading from and writing to files.
• 09FileProcessHandling.py: Interacting with the file system and processes.
• 10RegularExpressions.py: Using regular expressions for pattern matching.
• 11BuiltInFunctions.py: Overview of useful built-in Python functions.

Jupyter Notebooks

• PythonLearning0.ipynb: This notebook compiles the code from 01PythonBasics.py through 11BuiltInFunctions.py into a single document. Each Python script is presented in its own cell, preceded by a markdown cell indicating the original filename. This allows for easy execution and exploration of the examples.
• PythonLearning1.ipynb: (You might want to add a description for this notebook if it exists and is relevant)
• PythonLearning2.ipynb: (You might want to add a description for this notebook if it exists and is relevant)
• MatplotlibWorks.ipynb: (You might want to add a description for this notebook if it exists and is relevant)

How to Use

You can clone this repository and run the Python files individually using a Python interpreter (e.g., python 01PythonBasics.py).

Alternatively, you can open and run the Jupyter Notebooks (.ipynb files) using Jupyter Lab or Jupyter Notebook. This is a good way to interactively explore the code examples. Ensure you have Jupyter installed (pip install jupyterlab notebook).