Python 3 Programming Tutorials for Beginners

1.1: Why Should You Learn Python?

1.2: Install python on windows

1.3: Variables in python

1.4: Variables in python Exercise

1.5: Numbers

1.6: Numbers Exercise

1.7: Strings

1.8: Strings Exercise

1.9: Lists

1.10: Lists Exercise

1.11: Install PyCharm on Windows

1.12: Debug Python code using PyCharm

1.13: If Statement

1.14: If Statement Exercise

1.15: For loop

1.16: For loop Exercise

1.17: Functions

1.18: Functions Exercise

1.19: Dictionaries and Tuples

1.20: Dictionaries and Tuples Exercise

1.21: Install Python Module (using pip)

1.22: Modules

1.23: Working With JSON

1.24: Reading/Writing Files

1.25: Reading/Writing Files Exercise

1.26: if __name__ == "__main__"

1.27: Exception Handling

1.28: Class and Objects

1.29: Class and Objects Exercise

1.30: Inheritance

1.31: Inheritance Exercise

1.32: Multiple Inheritance

1.33: Multiple Inheritance Exercise

1.34: Raise Exception And Finally

1.35: Raise Exception And Finally Exercise

1.36: Iterators

1.37: Iterators Exercise

1.38: Generators

1.39: Generators Exercise

1.40: List Set Dict Comprehensions

1.41: List Set Dict Comprehensions Exercise

1.42: Sets and Frozen Sets

1.43: Sets and Frozen Sets Exercise

1.44: Command line argument processing using argparse

1.45: Commandline Argument Processing using argparse Exercise

1.46: Decorators

1.47: Decorators Exercise

1.48: Multithreading - Introduction

1.49: Multithreading Exercise

1.50: Multiprocessing Introduction

1.51: Sharing Data Between Processes Using Array and Value

1.52: Sharing Data Between Processes Using Queue

1.53: Multiprocessing Lock

1.54: Multiprocessing Pool (Map Reduce)

1.55: Unit testing - pytest introduction

1.56: Unit testing - skip/selectively run tests in pytest

1.57: Unit testing - pytest fixtures

1.58: Unit testing - pytest parameters

1.59: Numpy introduction

1.60: Numpy - basic array operations

1.61: Numpy - slicing/stacking arrays, indexing with boolean arrays

1.62: Numpy - iterate numpy array using nditer | numpy nditer