Python Bootcamp 2025: Learn Python from Basics with Projects

Name: Python Bootcamp 2025: Learn Python from Basics with Projects
Rating: 4.6 (52 reviews)

Master Python from core basics to advanced with interview prep & in-depth practicals

Created byDataFlair TechVidvan

Last updated 4/2025

English

What you'll learn

Fundamental to Advanced Python Skills: Master core syntax, data structures, and OOP
Interview-Focused Problem Solving: Practice coding challenges typical in Python interviews.
Clean Code & Best Practices: Learn debugging, testing, and code organization for professional development.
Work with variables, data types, user inputs, arrays, and strings
Use Python functions, including arguments, recursion, and return values
Practice with lambda functions and key built-in methods
Get comfortable with overloading, overriding, and magic methods

Course content

4 sections • 50 lectures • 27h 6m total length

Python Introduction27:12
Where we use Python11:44
Explore how Python serves as a general purpose language across console, desktop, web, gaming, AI/ML/DL, database, and IoT apps, and how core, advanced, and corporate Python support these areas.
What is Python11:31
Python platform independent21:45
features of Python13:53
Discover Python's features, including simple and easy-to-learn syntax, freeware and open-source status, rich libraries, and its high-level, platform-independent, portable, and function and object-oriented capabilities.
limitations of Python10:44
How to install Python - practical12:42
Install python by downloading the latest 3.13 release from python.org and running the Windows installer. Verify with python --version and start writing .py files in notepad, VS Code, or Jupiter.
Steps to execute Python program18:42
Learn steps to run a Python program: write source code, save as .py, compile to byte code, and run. Understand compile time vs runtime, syntax errors, and exceptions.
Python statements indentation comment11:39
Explore the core Python concepts of statements, indentation, and comments, and learn how statements define commands, how indentation organizes blocks, and how to use comments to annotate code.
Python data types and identifier variables14:57
Python data type and identifier - practical11:17
Master Python data types and dynamic typing with hands-on practice, covering int, str, float, bool, none, and identifier rules like starting with a letter or underscore.
Python input function10:58
Use the Python input function to read user data as strings, then perform explicit type casting with int for dynamic calculations like addition.
Implementation of input function in Python - practical13:55
Python print function11:40
Python input method25:51
Explore Python's input method, learning how input reads user data as strings, how to prompt with messages, and how to cast to int or float, including splitting multiple inputs.
Implementation of format function in Python - practical11:17

Python operators22:30
Operators in Python part 1 - practical11:14
Python relational and logical operators40:54
Learn Python relational and logical operators, including greater than, less than, equal to, not equal, and, or, not, and apply them to boolean conditions.
Python conditional operators27:20
Conditional statement in Python 1 if and if else ladder if1:06:23
Explore how Python handles conditional statements, including simple if, elif, and else. Examine ladder and nested if, later if, and multiple if else, with indentation and switch case absence.
Conditional statements Python - practical24:51
Explore practical Python conditional statements with hands-on examples of if, else, and elif; learn nested if, vowel checks, leap year logic, and a menu-driven max/min/swap application.
Python loops38:12
Explore Python loops, including while and for loops, with practical examples on printing series, tables, squares, and summations; learn initialization, conditions, and increments to avoid infinite loops.
Python loops 2 programs45:48
Python loops 3 for loop1:07:27
for loop in Python - practical29:49
Python strings 126:19
String in Python part 1 - practical28:36
Python methods of strings 245:36
Methods of string in Python part 2 - practical33:02
Python string methods part 3 - practical21:31
Explore practical python string methods, including expand tab, replace, find and rfind, index and rindex, split and partition, zfill, and isidentifier, with attention to immutability and case-sensitivity.

function in Python part 11:02:57
Function in Python part 2 call by value and return by value1:14:36
Explore call by value and return by value in Python functions, learn about arguments vs parameters, actual vs formal parameters, and using return to pass results back to calling code.
function in Python part 3 function as argument21:22
Explore how to pass functions as arguments in Python, treating functions as objects. Learn through examples where one function calls another and returns values.
Python function global variable41:40
Explore how global and local variables work in Python, learn when to use the global keyword and global function, and compare global versus globals with practical examples.
Python functions recursion1:07:48
Python functions lambda28:17
Python lambda filter function39:20
Explore the Python filter function and how to apply it with and without lambda expressions to filter data from lists, strings, or other sequences.
Python lambda map function43:26
Learn how to use Python's map function with named and lambda functions to perform calculations on data, compare it to filter, and explore examples like squaring numbers and factorials.
Python array51:20
array in Python - practical29:38

Python oops1:15:27
Python oops class object method27:13
Python oops how to create class and objects46:16
Define a Python class and instantiate objects to access their methods with the instance dot operator. Understand local versus instance variables, memory allocation, and how self refers to the instance.
practical classes object in Python15:07
Explore practical object oriented programming in python by defining classes and objects, using the def keyword, self, and the display method to manage instance and local variables.
Python init and str method51:34
practical magic methods in Python48:13
Explore Python's magic, or dunder, methods, including init, str, repr, and call, and learn how they enable implicit execution and operator overloading for custom objects.
inheritance in Python1:14:57
Explore inheritance in Python to reuse code across base and derived classes, including single level, multi level, multiple, and hybrid inheritance, with practical examples.
overloading and overriding in Python40:14
Explore the difference between overloading and overriding in Python, explain why Python lacks direct overloading, and show how overriding and indirect overloading work with init methods and inheritance.
practical overloading overriding17:41

Requirements

There is no prerequisite, we will provide everything you need to learn Python from scratch
Willingness to write and test Python code hands-on

Description

Looking to ace your next Python interview or level up your career in software development? This Python course provides a complete roadmap from fundamental Python concepts to advanced topics tested in job interviews.

You’ll learn the why behind Python’s design, how to leverage its best features for high-performance, maintainable code, and get hands-on practice through real-world projects and interview-style coding challenges.

By the end of this Python course for beginners, you’ll not only write better Python code but also understand the thought process behind solving interview-level challenges. That means less anxiety on coding test day and more confidence in your ability to communicate solutions clearly.

What Is Primarily Taught in Your Course?

Core Python Knowledge: Syntax, data types, control flow, and fundamental coding practices.
Intermediate to Advanced Concepts: OOP, decorators, generators, concurrency, and essential libraries.
Problem-Solving & Algorithmic Thinking: Essential for acing technical interviews and coding challenges.
Industry-Ready Practices: Project structure, code quality, testing, and debugging strategies.
Interview Preparation: Focused exercises, mock questions, and real-world insights to help you land your dream Python job.

Why Choose This Course?

Comprehensive Coverage: From beginner-friendly reviews to advanced techniques, all in one place.
Hands-On Approach: Practice coding challenges that mirror real interviews.
Career-Focused: Tips and strategies for interview success at top tech companies.
Expert Guidance: Content crafted by a seasoned professional with industry and interview experience.

Get ready to master Python and shine in your next coding interview. Enroll now to become the Python developer every company wants on their team!

Who this course is for:

Beginners looking to learn Python from the ground up
Students preparing for coding interviews or job roles in tech
Working professionals switching to programming or backend development
Anyone who wants structured, clean, and hands-on learning, not theory-only

Python Bootcamp 2025: Learn Python from Basics with Projects

What you'll learn

Explore related topics

Course content

Introduction16 lectures • 4hr

Deep Dive into Python15 lectures • 8hr 50min

Working with Functions in Python10 lectures • 7hr 40min

Object oriented programming in Ppython9 lectures • 6hr 37min

Requirements

Description

Who this course is for: