Python Bootcamp 2025-2026: From Beginner To Master

python, programming, development, programming languages, concepts, coding exercises, realtime problems

What you'll learn

you will learn everything about python and gets hands-0n experience

You will be mastered in python programming concepts, logics and components

You will learn how to write Python syntax, control & flow of the program

My teaching will be Problem-based, concept-oriented and practice based

You will get several exercises, assignments and projects with source code

You will get real-time experience in executing projects

Requirements

No programming experience needed. I will teach from scratch.

Sessions covers all topics in basic and intermediate level python.

Your interest in learning is the main prerequisites

Description

Dear Python Learners, welcome to the course '' Python Bootcamp 2025-2026: From Beginner to Master''. This course is designed for problem-based learning model. The course contained more than 12.5 hrs on-demand video comprised with 130 lectures and 100 hands-on coding practice session and projects.  Each lecture explained theoretical concepts, code practice session. The idea of advance python concepts, machine learning algorithms and AI topics are coming as bonus lectures. The key takeovers from this course:1. you will learn everything about python and gets hands-0n experience2. You will be mastered in python programming concepts, logics and components3. You will learn how to write Python syntax, control & flow of the program4. You will get real-time experience in executing projects5.  After this course you will be ready for data analysis, data science libraries, machine learning algorithms and AI applications. You’ll find this course both engaging and concept-driven, helping you strengthen your analytical skills. The course structure is carefully designed to ensure each topic naturally connects to the next, enhancing your understanding step by step.The course comprised with 12 sections, each section has theory and hands-on coding exercises. The course provides the procedural programming and   functional programming paradigms. Happy Learning and I wish you all the best.

Overview

Section 1: Introduction

Lecture 1 Course Introduction

Lecture 2 Why Python?

Lecture 3 Software Installation

Lecture 4 Jupyter notebook installation from Anaconda

Lecture 5 How to use Jupyter Notebook - Part1

Lecture 6 How to use Jupyter Notebook - Part2

Lecture 7 Other Environments for Python - IDEs

Lecture 8 Pycharm Community Edition - Installation and Setup

Section 2: Basic Python - General Introduction

Lecture 9 Variables

Lecture 10 Rules for variables defination

Lecture 11 print statement

Section 3: Python Operators

Lecture 12 Operators -Part1- Arithmetic operators

Lecture 13 Operators -Part2- Comparison operators

Lecture 14 Excercise - Temperature conversion program

Lecture 15 Operators -Part3- Assignment operators

Lecture 16 Exercise - 2 - bank balance update

Lecture 17 Operators -Part4- Logical operators

Lecture 18 Operators -Part5- Membership & Identical operators

Lecture 19 Precedence operator

Section 4: Basic Python - Primary Data types

Lecture 20 Datatypes

Lecture 21 Strings - Introduction

Lecture 22 Concatination and Repitation

Lecture 23 Indexing and Slicing

Lecture 24 Exercise-3 - Program for given str is a palindrome or not

Lecture 25 python in-built functions on strings

Lecture 26 String - methods - Part1

Lecture 27 Exercise-4 - Program for search items caseless comparison

Lecture 28 String - methods - Part2

Lecture 29 String - methods - Part3

Lecture 30 String - methods - Part4

Lecture 31 Immutability in Strings

Section 5: Python - Non-primitive Data types - List, Tuple, Sets and Dictionaries

Lecture 32 Lists - Introduction

Lecture 33 Difference between Lists and Arrays

Lecture 34 Indexing and Slicing in Lists

Lecture 35 Exercise-4 - List + string concepts

Lecture 36 python in-built functions in Lists

Lecture 37 List- Methods - Part1

Lecture 38 List-Methods - Part2

Lecture 39 List-Methods-Part3

Lecture 40 Tuples - Introduction, indexing and dot methods

Lecture 41 Unpacking Tuple

Lecture 42 Frozen Tuple Vs Unfrozen Tuple

Lecture 43 Difference between Lists and Tuples

Lecture 44 Python - Sets - Introduction

Lecture 45 Unique nature of sets

Lecture 46 Set methods - Part1

Lecture 47 Set methods - Part3 - Discard method Vs Remove method

Lecture 48 Exercise : Create a unique email ids

Lecture 49 Sets Operations

Lecture 50 Exercise - Document comparison

Lecture 51 Remove duplicate elements from list

Lecture 52 Plotting Venn Diagrams

Lecture 53 Python Dictionary - Introduction

Lecture 54 Result of duplicate key in dictionary

Lecture 55 Merging dictionaries and Indexing through Keys

Lecture 56 adding objects into dictionaries

Lecture 57 How python in-built functions works on dictionaries

Lecture 58 Dictionary methods- Part1

Lecture 59 Difference between get method and indexing through key

Lecture 60 Dictionary methods- Part2

Lecture 61 Nested Dictionaries

Lecture 62 Create multi-dimensional data frame with dictionary

Section 6: Conditions - Programe logics

Lecture 63 Conditions, Indentation & Logics

Lecture 64 if - else

Lecture 65 Exercise : if - else : password verfication

Lecture 66 if - elif–elif–else: Exercise speed violation program

Lecture 67 Nested conditions - Exercise: Bank loan application

Section 7: Loops - Repetitive tasks

Lecture 68 Loops -Introduction, conditional and unconditional loops

Lecture 69 for loops - Part1 (in strings)

Lecture 70 Exercise: finding vowels in given string

Lecture 71 for loops in lists and tuples

Lecture 72 Separate Even and Odd numbers

Lecture 73 for loops - in sets - Exercise make squares and cubes of elements

Lecture 74 for loops - in dictionary with Exercise

Lecture 75 Exercise: Swap dictionary key to value , value to key

Lecture 76 Exercise: Customer separation based on credit score

Lecture 77 While Loops - introduction

Lecture 78 While unlimited loops

Lecture 79 While limited loops - Exercise -Credit card block for 3 wrong pin entry

Lecture 80 While loops - exercise- continuous login page

Lecture 81 Exercise: Multiplication table with while loops

Lecture 82 Nested loops - Part1

Lecture 83 Nested loops - Part2 - Exercise - Printing multiple tables

Section 8: Project 1 - Bank Login Project

Lecture 84 Problem statement

Lecture 85 Requirement analysis and gathering - Data definition and import libraries

Lecture 86 Code development - Part1

Lecture 87 Code development - Part2

Lecture 88 Code testing

Section 9: Python - Functions

Lecture 89 Types of functions in Python

Lecture 90 In-built functions -abs, all, enumarate functions

Lecture 91 In-built functions -range, round and divmod functions

Lecture 92 In-built functions - isinstance function with exercise

Lecture 93 In-built functions - zip function and unzipping

Lecture 94 User-defined functions - Introduction

Lecture 95 print Vs return statement

Lecture 96 Bound parameters Vs Unbound parameters

Lecture 97 find length , max , min and sum in given list without using in-built fns

Lecture 98 Type of functions based on arguments

Lecture 99 Required and positional arguments

Lecture 100 Excercise: Create a user-defined func for calculate tax as per the income slab

Lecture 101 Keyword arguments

Lecture 102 Default arguments

Lecture 103 Variable -length arguments

Lecture 104 Exercise: Create a user-defined function for finding factorial number

Lecture 105 Exercise: Create a user-defined function for Fibonacci Sequence

Lecture 106 Lambda Functions

Section 10: Modules, packages & libraries

Lecture 107 Modules, libraries and packages - Introduction

Lecture 108 In-built modules -Part1 - os and math

Lecture 109 In-built modules -Part2 - random module

Lecture 110 In-built modules -Part3-Date, time modules

Lecture 111 In-built modules -Part4- Calender module

Lecture 112 User-defined modules -Part1

Lecture 113 User-defined modules -Part2

Lecture 114 Third Party modules -Part1 - PIP command

Lecture 115 Third party modules -Part2- Pywhatkit module

Section 11: Bonus lectures

Lecture 116 Advance python - Object Oriented Programming - OOPS-concepts

Lecture 117 Database connections with Python

Section 12: Machine Learning Algorithms

Lecture 118 Algorithms Vs Machine Learning Algorithms -Overview of ML

Beginners for Python programming,Curios learners of python programming , data analysis, data science and Artificial Intelligence