Python Programming Course: Python for EASY PROGRAMMING [New]

Course Curriculum

Chapter 1: Getting Started: Installing Python and PyCharm, and Working with Variables

Lecture 1: Downloads and Installation: Python and PyCharm IDE Installation

Lecture 2: Displaying Output in Python Using the Print() Function

Lecture 3: Python Variables: Assign Values to Variables, Print Content – Practice Example

Lecture 4: How to Get Input from the User in Python – Input() Function

Lecture 5: Python Type Casting: Data Type Conversion in Python

Chapter 2: Working with Strings: Indexing, Methods, and Operations

Lecture 1: Strings : Python String Indexing

Lecture 2: Strings Methods : Useful Method for String in Python

Chapter 3: Basic Operations and Functions: Arithmetic, Math Methods, and Type Conversion

Lecture 1: Arithmetic operations in Python – Add, Subtract, Divide, Multiply, Exponents etc

Lecture 2: Math Useful Functions : Import Math Module and Explore various Math Methods

Chapter 4: Conditional and Logical Operations : IF-ELSE, Comparison, and Logical Operators

Lecture 1: Conditional Statements in Python – IF-ELSE with Real World Example

Lecture 2: Logical Operators in Python : Logical AND operation with Real world Examples

Lecture 3: Logical Operator in Python : Logical OR Operator usage with a Real World Example

Lecture 4: Logical Operator in Python : Logical Not Operator with Real World Examples

Lecture 5: Comparison Operators in Python : with Examples such as { >, <, ==, >=, <=, != }

Lecture 6: Recap of all commands : Revised with Examples

Chapter 5: Loop Control Structures: Using While and For Loops in Python

Lecture 1: Loop Control Structure – While Loop in Python with a Real world Example

Lecture 2: Loop Control Structure – For Loop in Python with Multiple Examples for Practice

Chapter 6: Data Structures in Python: Lists, Dictionaries, and Useful Functions

Lecture 1: List in Python – List of String, Numbers

Lecture 2: Useful Functions for List in Python

Lecture 3: Dictionary in Python : Key-Value Pair Addition and Deletion, with Real Examples

Chapter 7: Exception Handling: Managing Errors and Exceptions in Python

Lecture 1: Exception in Python : Handling Exceptions in Python

Chapter 8: Functions and Classes: Basics of Functions and Object-Oriented Concepts

Lecture 1: Function in Python: Inputs/Output Argument of Python Function with Real Example

Lecture 2: Classes in Python: Class Definition, Methods, Attributes, Constructor & Examples

Lecture 3: Constructor in Classes: Various Examples of Classes and Constructors in Python

Lecture 4: Inheritance in Python : Parent Class Attribute Inheritance to Child Class

Chapter 9: Modules and Packages: Importing Functions, Aliasing, and Library Exploration

Lecture 1: Module in Python: Import Function and Variables form Module, Aliasing, Library

Lecture 2: Package in Python: Import Package and its Module in Python Code, with Examples

Lecture 3: Built-in Module in Python: Module Searching and Download, Use into Python IDE

Lecture 4: PYPI and PIP : Python Package Index and Python Package Installer

Lecture 5: Spreadsheets in Python : Import, Process and Write XLS, CSV into Python

Chapter 10: Installing Jupyter Notebook via Anaconda for Machine Learning Applications

Lecture 1: Jupiter Notebook in Anaconda – Editor for Machine Learning and Data Science

Lecture 2: Import Data into Jupiter Notebook for Machine Learning Applications – Step 1

Lecture 3: Jupiter Notebook Keyboard shortcuts

Lecture 4: Train Machine Learning Model with Data and Predict the Test Data Output- Step 2

Lecture 5: Accuracy of Machine Learning Models in Python – Step 3

Lecture 6: Export a Trained Machine Learning Model for Future Applications