Complete Python Bootcamp: Go from zero to hero in Python 3

Learn Python like a Professional! Start from the basics and go all the way to creating your own applications and games!

4.7 (471,673 ratings) | 1,820,567 students

Created by Jose Portilla

Bestseller Updated June 2025 | 24 hours total | English

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Complete Python Bootcamp: Go from zero to hero in Python 3

By Jose Portilla

4.7 (471,673)

₹599 ₹799

Discount applied with code: ST21MT30625G1

30-Day Money-Back Guarantee

This course includes:
  • 24 hours on-demand video
  • 19 articles
  • 150+ downloadable resources
  • Access on mobile and TV
  • Certificate of completion

What You'll Learn

  • Master Python 3 fundamentals: variables, data types, loops, and conditionals.
  • Understand Object-Oriented Programming (OOP) with classes, objects, and inheritance.
  • Build real-world projects like Blackjack, Tic-Tac-Toe, and data analysis tools.
  • Work with Python modules and libraries like Pandas, Matplotlib, and NumPy.
  • Automate tasks such as file handling, sending emails, and web scraping.
  • Create GUI applications using Jupyter Notebooks.
  • Handle errors and debug code effectively.
  • Develop a portfolio of Python projects to showcase for job applications.

Course Content

34 sections • 150+ lectures • 24h total length

  • Welcome to the Course 6min
  • Why Python? 8min
  • Python 2 vs Python 3 Overview 8min
  • Setting Up Python Environment 10min
  • Course FAQs and Resources 5min

  • Your First Python Program 10min
  • Variables and Data Types 15min
  • Numbers and Operators 12min
  • Strings and Formatting 15min
  • Coding Exercise: Basic Operations 10min
  • Lists, Tuples, and Sets 15min
  • Dictionaries 12min
  • Project: Simple To-Do List 20min
  • Quiz: Python Basics 5min
  • Comments and Best Practices 8min
  • Boolean Logic 10min
  • Code Review: Basics 8min

  • If, Elif, Else Statements 12min
  • Nested Conditionals 10min
  • For Loops 12min
  • While Loops 10min
  • Break, Continue, Pass 8min
  • List Comprehensions 10min
  • Coding Exercise: Loop Challenges 10min
  • Project: Number Guessing Game 15min
  • Quiz: Control Flow 5min
  • Code Review: Control Flow 8min

  • Defining Functions 12min
  • Parameters and Arguments 10min
  • Return Statements 10min
  • Lambda Functions 8min
  • *args and **kwargs 12min
  • Scope and Global Variables 10min
  • Coding Exercise: Function Challenges 10min
  • Project: Calculator App 15min
  • Quiz: Functions 5min
  • Code Review: Functions 8min

  • Introduction to OOP 15min
  • classes and Objects 15min
  • Attributes and Methods 12min
  • Inheritance 15min
  • Polymorphism 12min
  • Encapsulation 10min
  • Magic Methods 10min
  • Coding Exercise: OOP Design 12min
  • Project: Blackjack Game 20min
  • Quiz: OOP Concepts 5min
  • Class Methods and Static Methods 10min
  • Code Review: OOP Projects 8min

  • Introduction to Modules 12min
  • Importing Modules 10min
  • Creating Custom Modules 12min
  • Understanding Packages 10min
  • __init__.py File 8min
  • Coding Exercise: Module Creation 10min
  • Project: Personal Library Module 15min
  • Quiz: Modules and Packages 5min

  • Reading and Writing Files 12min
  • Working with CSV Files 10min
  • Try-Except Blocks 12min
  • Raising Exceptions 10min
  • Custom Exceptions 8min
  • Working with JSON 10min
  • Coding Exercise: File Operations 10min
  • Project: File Organizer Script 15min
  • Quiz: File Handling and Errors 5min
  • Code Review: File Projects 8min

  • Introduction to Libraries 12min
  • Pandas for Data Analysis 15min
  • NumPy for Numerical Data 15min
  • Matplotlib for Data Visualization 12min
  • Requests for Web Scraping 12min
  • Beautiful Soup Basics 10min
  • Coding Exercise: Data Analysis 10min
  • Project: Stock Price Analyzer 20min
  • Quiz: Python Libraries 5min
  • Seaborn for Advanced Visuals 10min
  • Working with APIs 12min
  • Code Review:HASE Library Projects 8min

  • Decorators 12min
  • Generators 12min
  • Iterators 10min
  • Regular Expressions 12min
  • Multithreading Basics 10min
  • Working with Databases 12min
  • Coding Exercise: Advanced Challenges 10min
  • Project: Email Automation Script 15min
  • Quiz: Advanced Python 5min
  • Code Review: Advanced Projects 8min

  • GUI Development with Tkinter 15min
  • Web Development with Flask 20min
  • Data Science with Pandas and NumPy 20min
  • Game Development: Tic-Tac-Toe 15min
  • Project: Web Scraper for News Sites 20min
  • Project: PDF File Manipulator 20min
  • Additional Coding Challenges 30min
  • Quiz: Additional Topics 5min
  • Code Review: Advanced Projects 10min

Requirements

  • No prior programming experience needed - this course is designed for absolute beginners.
  • A computer with Windows, macOS, or Linux and internet access.
  • Basic computer skills (e.g., installing software, managing files).
  • Free software: Python 3 and a text editor or IDE like Jupyter Notebook.

Description

Welcome to the Complete Python Bootcamp: Go from zero to hero in Python 3, the most comprehensive and beginner-friendly Python course on Udemy! With over 1.8 million students and a 4.7 rating, this 24-hour course takes you from no programming experience to building real-world Python applications. Learn Python 3 through 150+ lectures, quizzes, coding exercises, and three major projects, including Blackjack and data analysis tools. Master fundamentals, Object-Oriented Programming, and libraries like Pandas, NumPy, and Matplotlib. Automate tasks, scrape websites, and create GUIs using Jupyter Notebooks. Build a portfolio to showcase your skills and prepare for a career in web development, data science, or automation. Join now and start coding today!

Instructors

Jose Portilla

Head of Data Science, Pierian Training

2,000,000+ students | 30+ courses

Jose Portilla is the Head of Data Science at Pierian Training and has taught over 2 million students across 30+ courses on Udemy, covering Python, data science, and machine learning.

Student Reviews

5.0

"Jose’s teaching style is amazing! The projects and exercises made Python so easy to learn. Highly recommend!" – Sarah L.

4.5

"This course is a goldmine! The real-world projects helped me land my first data science internship." – Michael T.

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