Mega Python – Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Install python

Lecture 2: Python3 and python

Lecture 3: The python interpreter

Lecture 4: Writing our first python code

Lecture 5: Python IDLE program

Lecture 6: Installing Anaconda

Lecture 7: Create your first python notebook

Lecture 8: Jupyter Notebook – The Dashboard

Lecture 9: Jupyter Notebook – Coding commands

Lecture 10: Setting up IDE – Visual Studio Code

Chapter 2: *** COURSE – NEW UPDATES ***

Lecture 1: New Updates

Chapter 3: Python Strings and Numbers

Lecture 1: Variables and Strings

Lecture 2: Working with Comments

Lecture 3: How to load sample jupyter notebook

Lecture 4: Working with Strings and Numbers

Lecture 5: String functions

Lecture 6: String formatting

Lecture 7: Manipulating String

Lecture 8: Intro to Numbers

Lecture 9: Fun with Numbers

Lecture 10: Numbers – modulus and floor division

Lecture 11: Built-in functions for numbers

Lecture 12: More math functions with math module

Lecture 13: Formatting Numbers

Lecture 14: The double equality sign

Lecture 15: Getting User Input

Lecture 16: Python Operators

Lecture 17: Logical Operators

Lecture 18: Comparison Operators

Lecture 19: Boolean Operators

Chapter 4: Python List

Lecture 1: Python List

Lecture 2: Adding and removing elements in a list

Lecture 3: Popping items from a list

Lecture 4: Removing an item by value

Lecture 5: Sorting a list permanently or temporarily

Lecture 6: Reverse a list

Lecture 7: Avoiding Index errors

Lecture 8: The list() constructor

Lecture 9: Looping an entire list

Lecture 10: Indentation

Lecture 11: Numerical List

Lecture 12: min, max and sum functions

Lecture 13: Negative Indexing

Lecture 14: Multi-diementional list

Lecture 15: Range function

Lecture 16: Looping multi-dimentional list

Lecture 17: Slicing of a list

Lecture 18: Slicing a List Part 2

Lecture 19: Iterate over multiple list

Lecture 20: Check if an item exist or not

Lecture 21: Count total occurrence of an item

Lecture 22: Membership operators

Lecture 23: Find most common item

Lecture 24: Nested List

Lecture 25: List Comprehensions

Lecture 26: List Comprehensions with if clause

Lecture 27: Nested List Comprehensions

Lecture 28: Flatten a list of lists

Lecture 29: Remove duplicates from the list

Lecture 30: Combine lists

Chapter 5: Python Tuple

Lecture 1: Introduction to Tuple

Lecture 2: tuple constructor

Lecture 3: Access tuple items

Lecture 4: Nested Tuples

Lecture 5: Slicing a tuple

Lecture 6: Change Tuple item

Lecture 7: Writing over a tuple

Lecture 8: Concatenation and Repetition

Lecture 9: Iterate through a tuple

Lecture 10: Tuple Sorting

Lecture 11: Tuple Packing & Unpacking

Lecture 12: Tuple count() method

Lecture 13: Tuple index() method

Lecture 14: all() function with Tuples

Lecture 15: any() function with tuples

Lecture 16: sum() function with tuples

Lecture 17: enumerate() function with tuples

Chapter 6: Python Set

Lecture 1: Create, Set Constructor, Add and remove methods

Lecture 2: Find Length, clear all elements, and iterate all elements

Lecture 3: Check if an item exist or not

Lecture 4: pop method

Chapter 7: *** NUMPY ****

Lecture 1: Introduction to Numpy arrays

Lecture 2: array attributes – shape

Lecture 3: array attributes – ndim, size, dtype, nbytes

Lecture 4: Array Data types

Lecture 5: Create arrays from constant values

Lecture 6: Create arrays from space values

Lecture 7: Create arrays from set diagnals

Lecture 8: Create arrays from functions

Lecture 9: Indexing and slicing – Single dimension array

Lecture 10: Indexing and slicing – Multi-dimension array

Lecture 11: Creating views and copies

Lecture 12: Array Indexing