Python

From basics to advanced programming patterns

38 chapters across 6 modules

1

Python Fundamentals

11 chapters

1

Introduction to Python & Setup

5 min read

2

Variables, Data Types & Type Conversion

5 min read

3

Operators

6 min read

4

Strings & String Methods

6 min read

5

String Formatting

4 min read

6

Lists

6 min read

7

Tuples & Sequence Unpacking

5 min read

8

Dictionaries

4 min read

9

Sets

5 min read

10

Conditional Statements

5 min read

11

Loops & Iteration Basics

6 min read

2

Functions And Functional Basics

6 chapters

1

Functions: Basics & Return Values

5 min read

2

Function Arguments

5 min read

3

Scope & Closures

5 min read

4

Recursion

6 min read

5

Comprehensions

7 min read

6

Lambda Functions & map/filter/reduce

7 min read

3

Modules Data And Errors

5 chapters

1

Modules, Packages & Virtual Environments

6 min read

2

File Handling

5 min read

3

Working with CSV & JSON

6 min read

4

Exception Handling

6 min read

5

Custom Exceptions & Debugging

7 min read

4

Object Oriented Programming

7 chapters

1

Classes & Objects

8 min read

2

Inheritance & super()

6 min read

3

Polymorphism & Duck Typing

6 min read

4

Composition vs Inheritance

5 min read

5

Encapsulation & @property

7 min read

6

Abstraction & Abstract Base Classes

6 min read

7

Dunder Methods & Operator Overloading

8 min read

5

Advanced Python

6 chapters

1

Iterators & Generators

8 min read

2

Decorators

7 min read

3

Context Managers & Type Hints

8 min read

4

functools, itertools & Dataclasses

8 min read

5

Testing & Logging

8 min read

6

Concurrency Basics

8 min read

6

Bridge To Data And ML

3 chapters

1

NumPy Primer

8 min read

2

Pandas Primer

7 min read

3

Capstone Project: Expense Tracker

7 min read