Python for Beginners: Easily Learn Python Programming

Course Curriculum

Chapter 1: Introduction to Python and a bit of background of Software

Lecture 1: Trainer Intro

Lecture 2: Why Python Part I

Lecture 3: Why Python Part II

Chapter 2: Configuring Python Environment and Maneuvering software

Lecture 1: Downloading and Accessing Python from Spyder

Lecture 2: Using Jupyter based application to write Python codes

Lecture 3: Basic commands in python to comment and execute

Lecture 4: Saving ipynb file and uploading it to your system

Chapter 3: Creating Objects in Python and Concept of Packages

Lecture 1: Types of Objects – Single data elements in Python

Lecture 2: Types of Objects – Multiple data elements tuples and lists

Lecture 3: Types of Objects – Multiple data elements sets and dictionary

Lecture 4: Summary of Object Types

Lecture 5: Concept of Memory Location

Lecture 6: Python Basic commands

Lecture 7: Concept of Packages

Lecture 8: Panda series at a glance

Chapter 4: Indexing Python Objects

Lecture 1: Indexing a tuple

Lecture 2: Indexing list and multiple hierarchy objects

Lecture 3: Indexing set and a dictionary

Chapter 5: Converting Object type – Coercion of Objects

Lecture 1: Converting Object type – Part I- Single data Element types object to Other

Lecture 2: Converting Object type – Part II- tuple, list, set to Other Object types

Lecture 3: List comprehension

Lecture 4: Set functions

Chapter 6: Operators in Python

Lecture 1: Operators – Membership and Logical

Lecture 2: Operators – and or

Lecture 3: Case Study with and or Operator

Chapter 7: Flow controls

Lecture 1: If else conditions Part I – With 2 conditions

Lecture 2: If else conditions Part II – More than 2 conditions

Lecture 3: If else conditions Part III- Nesting if else

Chapter 8: Python in-built Functions and User defined Functions

Lecture 1: Python functions and Package specific functions

Lecture 2: User defined function Part I – Non-parameterized function

Lecture 3: User defined function Part II – parameterized function

Lecture 4: User defined function Part III – With default value and embedding if else

Chapter 9: Loops – For and While loop

Lecture 1: Types of Loops – for and while loops

Lecture 2: Types of Loops – for loop in detail with examples

Lecture 3: Types of Loops – While loop in detail with examples

Chapter 10: NumPy Package

Lecture 1: NumPy Package & Introduction to Array

Lecture 2: NumPy Array – 1D and 2D

Lecture 3: Array – 3D

Lecture 4: Array computations and functions

Chapter 11: Intro to Pandas Package and Data Wrangling with Pandas

Lecture 1: Overview of Pandas package

Lecture 2: Pandas Series

Lecture 3: Pandas – Data frames

Lecture 4: Pandas – Data frames – Indexing

Lecture 5: Concept of working directory and Importing data

Lecture 6: Data wrangling with data frames

Chapter 12: What Next in your Career????

Lecture 1: Upgrade your skills in Data Science and Machine Learning with Python and R