A disciplined and structured approach to learning and implementing the fundamentals of programming.
through bleeding edge concepts, and an amazing peer group to learn with.
Probably the most exhaustive and updated Python Course in the world! It is spread over three semester-style phases, each restricted by a qualifying exam.
Phase #1 - FOUNDATION
| Lecture Title |
|---|
| Introduction: Course Introduction, Programming Fundamentals |
| Computer Fundamentals: Compilers, Interpreters, Evolution of Computers, Types of Language |
| Python Fundamentals & Types of Errors: Hands On IDLE, Running Python Scripts, Error Debugging |
| Keywords, Variables & Comments: Python Keywords, Data types, Types of Comments |
| Operators: Types of Operators, Precedence level, Hands on Coding |
| Branching & Looping: Conditional and Unconditional Branching, Looping |
| Mini Project: |
Phase #2 - Intermediate
| Lecture Title |
|---|
| Python Basics : Variables, Operators, Branching, Looping |
| Functions: Recursive, Non-recursive, Flow of Execution |
| Strings: Operations, In-built Functions |
| Regular Expression: RE Module, RE Functions, RE Formats |
| Sequence & Dictionary Data Types: List, Tuple, Dictionary, Sets |
| Mini Project: |
Phase #3 - Advanced
| Lecture Title |
|---|
| Python Basics : Variables, Operators, Branching, Looping, Functions, Sequence Data Types, Regular Expression |
| Exception Handling: Types, Try, Catch, Except |
| File Handling: Concepts, In-built Functions |
| Object Oriented Concepts: Abstraction, Encapsulation, Polymorphism, Inhertiance |
| Classes & Objects: Introduction to Classes, Functions and Methods |
| Inheritance: Concepts, Magic Methods |
| Introduction to Machine Learning: What is M.L, Numpy, Pandas |