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Chapter - 1 (Basics)
Variables
Comments
Command Line Arguments
Formatted Printing
Arithmetic Operations
Numbers
Mathematical Funtions
Strings
String Slicing
String Functions
Operators
Conditionals
Loops
Chapter - 2 (Data Structures)
List
List Functions
Tuples
Sets
Set Functions
Dictionary
Type Conversions & Checking
Conditionals Revisted
Chapter - 3 (Functional Programming)
Functions
Memory Management
Global Vs Local Scopes
Abstraction
Lambdas and Closures
Currying
Partial Application
Iterators
Generators
Lazy Evaluation
CoRoutines
Convinience Iterators
List and Dictionary Comprehensions
Generator Comprehensions
Higher Order Functions
Custom Key Sorting
Custom Generators
Chapter - 4 (OOPS)
Classes and Objects
Static and Instance Properties
Multiple Constructors
Private Members
Getters and Setters
Magic or Dunder Methods
Inheritance
Multiple Inheritance
Mixins
Duck Typing
Resource Management
Custom Container Objects
Chapter - 5 (Code Organization and Miscellaneous)
Modules
Packaging
File I/O
Date-Time
Exception Handling
Installing new Packages
-------- Upcoming Chapters --------
Chapter - Numpy (Processing Vectors and Matrices)
Linear Algebra
Chapter - Scipy (Scientific Computations)
Probability Theory & Calculus
Chapter - StatsModels (Statistical Data Analysis)
Statistics and Optimization Theory
Chapter - Matplotlib (Visualization)
Chapter - Pandas (Data Frames)
Fast, Flexible and Expressive data structures
Chapter - Scikit-Learn (Machine Learning Library)
Machine Learning Algorithms
Chapter - TensorFlow & Keras (Deep Learning)