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Complete Python With DSA Bootcamp + LEETCODE Exercises

Name: Complete Python With DSA Bootcamp + LEETCODE Exercises
Rating: 4.4 (5164 reviews)

Master Python and Data Structures with Hands-on Projects and Coding Challenges for Tech Interviews and Beyond!

Bestseller

Created byKrish Naik, Mayank Aggarwal, KRISHAI Technologies Private Limited

Last updated 11/2025

English

What you'll learn

Develop a solid foundation in Python, including syntax, data structures, and libraries, enabling learners to write efficient and clean code.
Gain a comprehensive understanding of fundamental data structures (such as arrays, linked lists, stacks, queues, trees, and graphs) and algorithms
Learn how to apply data structures and algorithms to solve practical problems, enhancing coding skills and preparing learners for technical interviews
Build confidence in solving coding challenges and improve problem-solving skills through hands-on exercises and interview-style questions

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

53 sections • 258 lectures • 60h 49m total length

Introduction1:08

Getting Started With Google Colab6:24
Getting Started With Github Codespace8:28
Explore GitHub Codespaces, a secure cloud development environment that brings the VS Code experience to the browser and lets you run Python or IPYNB files from templates.
Anaconda And VS Code IDE Installation11:34
Install and configure Anaconda and VS Code as your Python IDE, manage environments with conda, and set up path variables to run .py and ipynb projects from VS Code.
Anaconda Installation In Mac0:03
Anaconda Installation In Linux0:03

Getting Started With VS Code10:36
discover how to set up a python development environment in VS Code, create conda environments with Python 3.12, and run .py and ipynb files with ipykernel.
Python Basics- Syntax and Semantics20:17
Explore Python basics by examining syntax and semantics, including comments, case sensitivity, indentation, line continuation, and variable assignment and type inference.
Variables In Python18:55
Basic Datatypes In Python9:52
Explore basic python data types, including integers, floats, strings, and booleans, and master type conversion, common errors, and practical examples with code demonstrations.
Operators In Python16:17

Conditional Statements (if,elif,else)21:03
Master control flow in Python by building and evaluating conditional statements (if, elif, else) with nested cases, real world examples, and guidance on common errors and best practices.
Loops In Python28:03
Master Python loops, including for and while with range and nested structures, and learn break, continue, and pass through practical, example-driven coverage.

List And List Comprehrension In Python37:07
Sets In Python21:05
Explore sets in Python, a built-in for unique items, covering creation, membership tests, and operations like union, intersection, difference, and subset checks.
Dictionaries In Python38:19
Tuples In Python22:34
Explore tuples in Python, including creation, access, immutability, and key operations like concatenation, repetition, slicing, packing and unpacking with nested tuples, count and index.
Real World Usecases Of List9:50
Explore real-world uses of Python lists through practical examples like a to-do list, organizing student grades, managing inventory, and collecting user feedback, highlighting append, removal, and in checks.

Getting Started With Functions24:21
More Coding Example With Functions28:03
Master python functions through practical examples: temperature conversion celsius-fahrenheit, password strength checks, shopping cart total, palindrome, factorial recursion, and file word frequency with email validation.
Python Lambda Functions9:44
Map functions In Python11:08
Master the Python map function to apply a function to every item in an iterable, returning a map object. Use lambda and built-in functions to transform lists and dictionaries.
Filter Function In Python9:00
Learn how the filter function in Python creates an iterator from an iterable to select items meeting a condition, using functions or lambda expressions on lists and dictionaries.

Introduction to Flowcharts10:10
Explore the basics of problem solving through flowcharts, learning their components—terminal, input/output, process, decision, arrows, and connectors—to visualize and solve algorithms like finding the maximum of two numbers.
What is a Pseudocode ?4:01
Pseudocode describes an algorithm in plain language, independent of syntax, useful for interviews and documentation, and outlines steps before coding.
Framework to Solve a Problem10:59
Adopt a structured framework to solve problems: analyze inputs and constraints, break down the task, draft pseudocode, dry-run with examples, then code and test edge cases while communicating your approach.

Requirements

Basic understanding of programming concepts (variables, loops, and conditionals).
Familiarity with Python syntax (data types, functions, and modules).
No prior knowledge of data structures or algorithms is required; eagerness to learn is essential.

Description

Welcome to the "Complete Python with DSA Bootcamp"! This comprehensive course is designed to take you from a beginner to a confident programmer, mastering both Python and essential data structures and algorithms (DSA) needed for technical interviews and real-world applications.

What You Will Learn

In this bootcamp, you will start with the fundamentals of Python programming. You will become familiar with Python syntax, data types, control structures, and functions. As you progress, you will dive into more advanced topics, including object-oriented programming and error handling, ensuring you have a solid foundation before moving on to data structures.

Next, we will explore various data structures in detail. You will learn about arrays, lists, stacks, queues, linked lists, trees, and graphs. For each data structure, you will understand its use cases, advantages, and limitations. You will also implement these structures from scratch, reinforcing your understanding through practical exercises.

Algorithms are the backbone of problem-solving in programming. This course covers essential algorithms, including sorting (quick sort, merge sort) and searching (binary search), as well as more advanced topics like recursion and dynamic programming. You will learn to analyze the time and space complexity of algorithms, helping you to choose the most efficient solution for any problem.

Hands-On Projects and Coding Challenges

Throughout the course, you will engage in hands-on projects and coding challenges that simulate real-world scenarios. Each section includes practical exercises to reinforce your learning, and you will work on projects that consolidate your understanding of Python and DSA. By the end of the course, you will have a portfolio of projects to showcase your skills to potential employers.

Who This Course Is For

This course is ideal for beginners who want to learn Python and data structures from scratch. It’s also perfect for aspiring software developers and data scientists preparing for technical interviews, as well as professionals looking to transition into tech roles. Whether you’re a student or a working professional, this course will equip you with the skills and knowledge needed to excel in coding interviews and advance your career.

Course Structure

The course is structured into modules that progressively build on your knowledge. Each module contains video lectures, reading materials, and coding exercises, allowing you to learn at your own pace. You will also have access to a community of learners where you can ask questions, share insights, and collaborate on projects.

Why Choose This Course?

Comprehensive Curriculum: Covers Python programming, data structures, and algorithms in depth.
Expert Instructor: Learn from an experienced instructor with over 13 years in data analytics and teaching.
Hands-On Approach: Engage in practical exercises and real-world projects that reinforce your learning.
Flexible Learning: Access course materials anytime, anywhere, and learn at your own pace.

Join the "Complete Python with DSA Bootcamp" today and take your first step towards becoming a proficient programmer! Whether you aim to land a job in tech or simply want to enhance your coding skills, this course is your gateway to success. Enroll now and start your journey!

Who this course is for:

Beginners looking to learn Python and data structures from scratch.
Aspiring software developers and data scientists preparing for technical interviews in product based companies
Students seeking to enhance their programming skills and problem-solving abilities.
Professionals transitioning to roles in tech who want a solid foundation in algorithms and data structures.

Complete Python With DSA Bootcamp + LEETCODE Exercises

What you'll learn

Explore related topics

Coding Exercises

Course content

Introduction1 lecture • 1min

IDE's And Code Editors You Can Use5 lectures • 27min

Getting Started With Python Programming Language5 lectures • 1hr 16min

Python Control Flow2 lectures • 49min

Inbuilt Data Structures In Python5 lectures • 2hr 9min

Functions In Python5 lectures • 1hr 22min

Code resources for the course1 lecture0

Flowchart and Problem Solving3 lectures • 25min

Pattern Practice Questions0

Function Practice Questions0

Requirements

Description

Who this course is for: