Python Bootcamp- Learn to Code with Fun Projects_1
- Development
- May 07, 2025

Python Bootcamp: Learn to Code with Fun Projects, available at $19.99, has an average rating of 5, with 140 lectures, based on 3 reviews, and has 83 subscribers.
You will learn about Master Python from fundamentals to advanced concepts Develop strong problem-solving skills for real-world scenarios Embrace and apply principles of object-oriented design for effective programming Apply Python to create graphics, visualization, and games This course is ideal for individuals who are Designed for those new to coding, offering a thorough introduction to Python or Tailored for developers in the early stages, providing hands-on experience in Python or Suited for individuals looking to strengthen their portfolios with practical Python projects It is particularly useful for Designed for those new to coding, offering a thorough introduction to Python or Tailored for developers in the early stages, providing hands-on experience in Python or Suited for individuals looking to strengthen their portfolios with practical Python projects.
Enroll now: Python Bootcamp: Learn to Code with Fun Projects
Summary
Title: Python Bootcamp: Learn to Code with Fun Projects
Price: $19.99
Average Rating: 5
Number of Lectures: 140
Number of Published Lectures: 140
Number of Curriculum Items: 140
Number of Published Curriculum Objects: 140
Original Price: $129.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
What is Python?
Python is a beginner-friendly programming language known for its simplicity and readability. It’s widely used in web development, data analysis, machine learning, AI, and automation due to its versatility and extensive libraries.
Course Description
This course makes learning Python exciting and accessible. Through engaging lectures and hands-on assignments, you’ll lay a solid foundation in Python development.
1. Core Concepts Exploration
Master Python Basics: Understand variables, data types, and value assignments, crucial for any Python programmer.
Hands-On Experience: Practical assignments on string manipulation and conditional statements to reinforce learning.
2. Building Proficiency
Advanced Topics: Learn about loops, iterations, functions, and debugging techniques.
Problem-Solving Skills: Develop your ability to understand and solve coding problems with assignments like the Fibonacci sequence, sorting algorithms, and recursions.
3. Object-Oriented Programming Foundation
Deep Dive into OOP: Learn about classes, methods, and inheritance, crucial for advanced Python programming.
Comprehensive Understanding: Build a strong foundation to tackle more complex topics later in the course.
4. Graphics, Visualization, and Game Development
Turtle Module: Create captivating visuals and delve into graphics and visualization.
Game Development: Understand advanced concepts like update loops, delta times, movement, rotation, and implementing game entities—all with Python!
Practical Application: Use the knowledge gained in real game development frameworks like Unity.
5. Final Sections of the Course
User Interfaces: Create simple interfaces, handle events, and utilize lambda functions.
Final Project: Showcase your skills by developing a complete game, perfect for your portfolio.
Why Should You Enroll?
Real-World Projects: Apply your skills in exciting, practical projects.
Comprehensive Learning: Become proficient in Python and ready to tackle any development challenge.
Portfolio Enhancement: Create a game to showcase your programming skills.
Who is This Course For?
Beginners and Early-Stage Developers: Those looking for a comprehensive and practical introduction to Python.
Aspiring Developers: Anyone seeking hands-on experience in building a game from scratch.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Info before you Start
Chapter 2: Variables & Simple Data
Lecture 1: Install Python
Lecture 2: Setup Env
Lecture 3: Variables Start
Lecture 4: More Variables
Lecture 5: More Data Types
Lecture 6: Small string assignment
Lecture 7: Multi Line Assignments
Lecture 8: Variables Exercise
Lecture 9: String Formatting Options
Chapter 3: Conditionals
Lecture 1: Simple Comparisons
Lecture 2: If Elif
Lecture 3: Indentation
Lecture 4: More Ifs
Lecture 5: And, Or
Lecture 6: If Statement Exercise
Lecture 7: Not Operator
Chapter 4: While Loops
Lecture 1: Get Input
Lecture 2: Data Type Transformations
Lecture 3: Loto Assignment
Lecture 4: While loop
Lecture 5: Check even numbers
Lecture 6: Continue
Lecture 7: Indentation reminder
Lecture 8: Calculator assignment
Lecture 9: Assignment improvements
Chapter 5: Functions and Debugging
Lecture 1: Define Function
Lecture 2: Function Parameters
Lecture 3: More about Functions
Lecture 4: Named params
Lecture 5: Debugging
Lecture 6: Debugging again
Lecture 7: Even More Debugging!
Lecture 8: Function returns
Chapter 6: Data Types & Dev Tools
Lecture 1: Define data types
Lecture 2: Pylint
Lecture 3: Mypy
Lecture 4: Fibonacci assignment
Lecture 5: Fibonacci solution
Chapter 7: Recursion
Lecture 1: None type
Lecture 2: Recursion start
Lecture 3: Recursion with params
Lecture 4: Recursive fibo
Lecture 5: Try and Except
Chapter 8: Lists
Lecture 1: Lists
Lecture 2: Get range from the list
Lecture 3: More list operations
Lecture 4: Remove item from list
Lecture 5: Interesting thing about list
Lecture 6: Fibo with list
Lecture 7: Fibo one more time
Lecture 8: Immutable vs Mutable
Lecture 9: Background to variables
Lecture 10: User list assignment
Lecture 11: User list Solution
Chapter 9: For Loops
Lecture 1: For loops
Lecture 2: Get index in for loop
Lecture 3: Index method
Lecture 4: Args with *
Lecture 5: Bubble sort assignment + Explanation
Lecture 6: Bubble Sort solution
Lecture 7: Optimize sort
Lecture 8: Reverse sort
Lecture 9: Tuple vs List
Chapter 10: Classes
Lecture 1: Classes Big Intro
Lecture 2: Methods
Lecture 3: Method improvements
Lecture 4: Database Class
Lecture 5: Objects are mutable
Lecture 6: Magic methods
Lecture 7: Database assignment
Lecture 8: Database assignment solution
Chapter 11: Inheritance
Lecture 1: Class vs Instance attribute
Lecture 2: Shape base class
Lecture 3: Polymorphism
Lecture 4: Method in base class
Lecture 5: Private in Python
Lecture 6: Super
Lecture 7: Match and Case
Lecture 8: Shape assignment
Lecture 9: Shape assignment solution
Chapter 12: Turtle Start
Lecture 1: Turtle Start Lecture
Lecture 2: Turtle module
Lecture 3: Simple turtle graphics
Lecture 4: Draw second triangle
Lecture 5: Range
Lecture 6: Movement in range
Instructors

Eincode by Filip Jerga
Online Education

Filip Jerga
Software Engineer
Rating Distribution
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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