Python Bootcamp 2025-2026: 100 coding lectures

Name: Python Bootcamp 2025-2026: 100 coding lectures
Rating: 5.0 (26 reviews)

hands-on experience, concepts, logics, real time problems

Created byDommaraju Sireesha

Last updated 7/2025

English

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

Course content

12 sections • 118 lectures • 12h 50m total length

Course Intro4:40
Why Python?5:03
Software Installation6:10
Jupyter notebook installation from Anaconda5:19
How to use Jupyter Notebook - Part117:35
How to use Jupyter Notebook - Part24:29
Other Environments for Python - IDEs2:29
Pycharm Community Edition - Installation and Setup8:25
Quiz on Environments

Lists - Introduction8:31
Difference between Lists and Arrays7:05
Indexing and Slicing in Lists6:09
Exercise-4 - List + string concepts9:03
python in-built functions in Lists5:04
List- Methods - Part110:11
Learn how Python lists use inbuilt methods like append, extend, and insert to modify ordered, mutable lists, including end-of-list behavior with practical car examples.
List-Methods - Part28:57
List-Methods-Part35:41
Tuples - Introduction, indexing and dot methods9:38
Unpacking Tuple8:34
Frozen Tuple Vs Unfrozen Tuple4:42
Difference between Lists and Tuples1:29
Python - Sets - Introduction6:17
Unique nature of sets3:55
Set methods - Part19:24
Set methods - Part3 - Discard method Vs Remove method6:37
Exercise : Create a unique email ids6:09
Sets Operations5:25
Exercise - Document comparison11:34
Remove duplicate elements from list4:54
Plotting Venn Diagrams7:26
Python Dictionary - Introduction9:55
Result of duplicate key in dictionary1:32
Merging dictionaries and Indexing through Keys5:38
adding objects into dictionaries3:38
How python in-built functions works on dictionaries5:06
Dictionary methods- Part14:53
Difference between get method and indexing through key6:39
Dictionary methods- Part22:49
Nested Dictionaries6:22
Create multi-dimensional data frame with dictionary4:28

Loops -Introduction, conditional and unconditional loops4:18
for loops - Part1 (in strings)8:34
Exercise: finding vowels in given string3:25
for loops in lists and tuples3:53
Separate Even and Odd numbers4:34
for loops - in sets - Exercise make squares and cubes of elements4:13
Explore how for loops work with sets, noting unordered order and removal of duplicates, then convert even numbers to squares and odd numbers to cubes using two sets.
for loops - in dictionary with Exercise6:51
Exercise: Swap dictionary key to value , value to key3:35
Exercise: Customer separation based on credit score8:47
While Loops - introduction1:48
While unlimited loops2:22
While limited loops - Exercise -Credit card block for 3 wrong pin entry6:20
While loops - exercise- continuous login page7:05
Exercise: Multiplication table with while loops4:09
Nested loops - Part15:07
Nested loops - Part2 - Exercise - Printing multiple tables6:16

Types of functions in Python4:16
In-built functions -abs, all, enumarate functions5:50
In-built functions -range, round and divmod functions8:09
In-built functions - isinstance function with exercise4:06
In-built functions - zip function and unzipping4:05
User-defined functions - Introduction4:52
print Vs return statement6:33
Bound parameters Vs Unbound parameters9:00
find length , max , min and sum in given list without using in-built fns7:44
Type of functions based on arguments7:15
Required and positional arguments9:59
Excercise: Create a user-defined func for calculate tax as per the income slab7:41
function for calculate the tax amount.
if customer income is upto 800000 - no tax ,
800000 above and below 1200000 - 10% tax,
1200000 above and below 1600000 - 15% tax
# 1600000 above and below 2000000 - 20% tax
# 2000000 above and below 2400000 - 25% tax
# above 2500000 then 30% tax
Keyword arguments5:59
Default arguments6:30
Variable -length arguments3:59
Exercise: Create a user-defined function for finding factorial number4:53
Exercise: Create a user-defined function for Fibonacci Sequence5:34
Lambda Functions3:30

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 Python Bootcamp 2025–2026: From Beginner to Master!

This course is built on a problem-based learning model, helping you grow from a complete beginner to a confident Python programmer. With over 12.5 hours of on-demand video, 130 engaging lectures, and 100+ hands-on coding exercises and projects, you'll gain both the knowledge and experience you need to succeed.

Each lecture offers:

Clear explanations of Python theory
In-depth coding practice
Guided walkthroughs of real-world problems

As a bonus, we’ll explore advanced Python concepts, machine learning algorithms, and AI applications, preparing you for more cutting-edge paths in tech.

Key Takeaways:

Build a solid foundation in Python and gain hands-on experience
Master programming logic, syntax, and key components
Control program flow and structure code effectively
Execute real-time projects with confidence
Be ready for data analysis, machine learning, and AI development

You’ll find this course engaging, structured, and concept-driven—each topic flows logically into the next to support deep, connected learning.

The curriculum is divided into 12 sections, combining theoretical lessons with applied programming challenges. You'll explore both procedural and functional programming paradigms, gaining a well-rounded understanding of Python’s flexibility.

Wishing you an exciting and rewarding learning journey.

Happy Coding, all the best

Who this course is for:

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

Python Bootcamp 2025-2026: 100 coding lectures

What you'll learn

Explore related topics

Course content

Introduction8 lectures • 54min

Basic Python - General Introduction3 lectures • 22min

Python Operators8 lectures • 47min

Basic Python - Primary Data types12 lectures • 1hr 3min

Python - Non-primitive Data types - List, Tuple, Sets and Dictionaries31 lectures • 3hr 18min

Conditions - Programe logics5 lectures • 52min

Loops - Repetitive tasks16 lectures • 1hr 21min

Project 1 - Bank Login Project5 lectures • 46min

Python - Functions18 lectures • 1hr 50min

Modules, packages & libraries9 lectures • 1hr 10min

Requirements

Description

Who this course is for: