Python Projects for Beginners
Say goodbye to scattered tutorials and endless fluff. This course gives you a clear, structured path with bite-sized videos that blend theory and hands-on practice.
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Students
172
Lectures
Code With Mosh
Instructor
About This Course
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About the Course
Are you tired of tutorials that just tell you what to do without explaining why? This course is different. Python Projects for Beginners is all about mastering problem-solving, the skill that separates good coders from great ones. You’ll work through real-world projects that I’ve carefully handpicked to challenge you and help you think like a professional developer. We start with simple, manageable projects, but as you progress, the challenges get more interesting—and more fun! Don’t worry though, I’ll be guiding you every step of the way. You’ll learn how to break down complex problems, refactor your code to make it clean and efficient, and understand the reasoning behind every decision. It doesn’t matter if you’re just getting started or you’ve been coding for a while—this course is designed for anyone who wants to take their coding to the next level. And here’s the best part: by the end of the course, you’ll not only be a better coder, but you’ll also have the confidence to tackle new projects with ease. This isn’t just about writing code—it’s about mastering the art of problem-solving.
Highly Practical
What You'll Learn
- Master problem-solving by breaking down complex tasks into manageable steps.
- Build practical Python projects that enhance your programming skills.
- Write clean, maintainable code that’s easy to read and scale.
- Refactor and enhance code to improve efficiency and readability.
- Understand the logic behind each line of code to become a confident programmer.
- Develop coding habits that set you apart as a professional.
- Progress through carefully curated projects that increase in complexity.
- Challenge yourself with optional enhancements for deeper learning.
Curriculum Overview
This course includes 11 modules, 172 lessons, and 0 hours of materials.
Getting Started
11 Parts
What is Python
Free
Volume
97.7 MB
Installing Python
Volume
87.3 MB
Code Editors
Volume
14.3 MB
Your First Python Program
Volume
20.7 MB
Python Extension
Volume
59.3 MB
Linting Python Code
Volume
69.8 MB
Formatting Python Code
Volume
57.7 MB
Running Python Code
Volume
126.1 MB
Python Implementations
Volume
34.2 MB
How Python Code is Executed
Volume
22.3 MB
Summary
Volume
10.4 MB
Building Web Applications with Django
23 Parts
Introduction
Volume
31.6 MB
Your First Django Project
Volume
60.8 MB
Your First App
Volume
44.0 MB
Views
Volume
142.9 MB
Models
Volume
121.7 MB
Migrations
Volume
194.0 MB
Changing the Models
Volume
166.7 MB
Admin
Volume
64.9 MB
Customizing the Admin
Volume
149.8 MB
Database Abstraction API
Volume
94.1 MB
Templates
Volume
239.7 MB
Adding Bootstrap
Volume
134.1 MB
Customizing the Layout
Volume
70.4 MB
Sharing a Template Across Multiple Apps
Volume
124.7 MB
Url Parameters
Volume
89.9 MB
Getting a Single Object
Volume
72.8 MB
Getting a Single Object
Volume
72.8 MB
Raising 404 Errors
Volume
117.0 MB
Referencing Urls
Volume
69.3 MB
Creating APIs
Volume
203.0 MB
Adding the Homepage
Volume
120.0 MB
Getting Ready to Deploy
Volume
244.2 MB
Deployment
Volume
138.1 MB
Popular Python Packages
12 Parts
Introduction
Volume
72.7 MB
What are APIs
Volume
104.4 MB
Yelp API
Volume
94.4 MB
Searching for Businesses
Volume
384.1 MB
Hiding API Keys
Volume
68.6 MB
Sending Text Messages
Volume
178.8 MB
Web Scraping
Volume
333.1 MB
Browser Automation
Volume
369.4 MB
Working with PDFs
Volume
147.6 MB
Working with Excel Spreadsheets
Volume
185.0 MB
Command Query Separation Principle
Volume
88.7 MB
NumPy
Volume
189.0 MB
Python Package Index
9 Parts
Pypi
Volume
65.4 MB
Pip
Volume
156.9 MB
Virtual Environments
Volume
56.0 MB
Pipenv
Volume
51.8 MB
Virtual Environments in VSCode
Volume
111.2 MB
Pipfile
Volume
94.0 MB
Managing Dependencies
Volume
71.9 MB
Publishing Packages
Volume
176.4 MB
Docstrings
Volume
123.6 MB
Python Standard Library
17 Parts
Python Standard Library
Volume
39.3 MB
Working With Paths
Volume
95.9 MB
Working with Directories
Volume
86.0 MB
Working with Files
Volume
97.7 MB
Working with Zip Files
Volume
79.7 MB
Working with CSV Files
Volume
82.6 MB
Working with JSON Files
Volume
64.6 MB
Working with a SQLite Database
Volume
215.8 MB
Working with Timestamps
Volume
38.4 MB
Working with DateTimes
Volume
116.7 MB
Working with Time Deltas
Volume
63.3 MB
Generating Random Values
Volume
92.9 MB
Opening the Browser
Volume
13.7 MB
Sending Emails
Volume
204.8 MB
Templates
Volume
178.8 MB
Command-line Arguments
Volume
28.1 MB
Running External Programs
Volume
179.5 MB
Modules
8 Parts
Creating Modules
Volume
82.7 MB
Compiled Python Files
Volume
34.3 MB
Module Search Path
Volume
30.0 MB
Packages
Volume
30.3 MB
Sub-packages
Volume
14.6 MB
Intra-package References
Volume
27.7 MB
The dir Function
Volume
29.5 MB
Executing Modules as Scripts
Volume
42.3 MB
Classes
23 Parts
Classes
Volume
35.2 MB
Creating Classes
Volume
58.4 MB
Constructors
Volume
87.2 MB
Class vs Instance Attributes
Volume
108.4 MB
Class vs Instance Methods
Volume
90.2 MB
Magic Methods
Volume
96.7 MB
Comparing Objects
Volume
63.3 MB
Performing Arithmetic Operations
Volume
33.3 MB
Making Custom Containers
Volume
171.7 MB
Private Members
Volume
77.1 MB
Properties
Volume
184.2 MB
Inheritance
Volume
88.3 MB
The Object Class
Volume
47.1 MB
Method Overriding
Volume
77.9 MB
Multi-level Inheritance
Volume
41.5 MB
Multi-level Inheritance
Volume
41.5 MB
Multiple Inheritance
Volume
62.6 MB
A Good Example of Inheritance
Volume
95.7 MB
Abstract Base Classes
Volume
137.5 MB
Polymorphism
Volume
96.5 MB
Duck Typing
Volume
57.5 MB
Extending Built-in Types
Volume
47.3 MB
Data Classes
Volume
80.4 MB
Exceptions
7 Parts
Exceptions
Volume
36.6 MB
Handling Exceptions
Volume
89.2 MB
Handling Different Exceptions
Volume
76.7 MB
Cleaning Up
Volume
48.8 MB
The With Statement
Volume
86.1 MB
Raising Exceptions
Volume
102.0 MB
Cost of Raising Exceptions
Volume
123.7 MB
Data Structures
24 Parts
Lists
Volume
67.9 MB
Accessing Items
Volume
52.6 MB
List Unpacking
Volume
70.3 MB
Looping over Lists
Volume
33.8 MB
Adding or Removing Items
Volume
37.6 MB
Finding Items
Volume
17.6 MB
Sorting Lists
Volume
64.6 MB
Lambda Functions
Volume
25.7 MB
Map Function
Volume
49.7 MB
Filter Function
Volume
25.0 MB
List Comprehensions
Volume
52.3 MB
Zip Function
Volume
18.2 MB
Stacks
Volume
88.2 MB
Queues
Volume
44.4 MB
Tuples
Volume
52.0 MB
Swapping Variables
Volume
25.3 MB
Arrays
Volume
44.5 MB
Sets
Volume
81.8 MB
Dictionaries
Volume
90.8 MB
Dictionary Comprehensions
Volume
45.3 MB
Generator Expressions
Volume
71.8 MB
Unpacking Operator
Volume
68.3 MB
Exercise
Volume
177.1 MB
Jupyter Shortcuts
Volume
124.5 MB
Python Basics
27 Parts
Variables
Volume
19.4 MB
Dynamic Typing
Volume
25.3 MB
Type Annotation
Volume
15.3 MB
Mutable and Immutable Types
Volume
27.7 MB
Strings
Volume
68.1 MB
Escape Sequences
Volume
39.7 MB
Formatted Strings
Volume
27.2 MB
Useful String Methods
Volume
77.6 MB
Numbers
Volume
26.2 MB
Arithmetic Operators
Volume
22.1 MB
Working with Numbers
Volume
53.4 MB
Type Conversion
Volume
59.0 MB
Conditional Statements
Volume
49.1 MB
Logical Operators
Volume
33.4 MB
For Loops
Volume
50.1 MB
For..Else
Volume
33.2 MB
While Loops
Volume
29.1 MB
Functions
Volume
46.4 MB
Arguments- xargs
Volume
25.5 MB
Arguments- xxargs
Volume
20.0 MB
Scope
Volume
49.2 MB
Debugging
Volume
90.2 MB
VSCode Coding Tricks Windows
Volume
37.3 MB
VSCode Coding Tricks - Mac
Volume
28.2 MB
Exercise
Volume
17.5 MB
Solution
Volume
88.3 MB
Adding or Removing Items
Volume
37.6 MB
Machine Learning with Python
11 Parts
What is Machine Learning
Volume
117.6 MB
Machine Learning in Action
Volume
18.7 MB
Libraries and Tools
Volume
94.7 MB
Importing a Data Set
Volume
161.3 MB
A Real Machine Learning Problem
Volume
137.3 MB
Preparing the Data
Volume
53.1 MB
Learning and Predicting
Volume
76.5 MB
Jupyter Shortcuts
Volume
124.5 MB
Calculating the Accuracy
Volume
147.6 MB
Persisting Models
Volume
89.2 MB
Visualizing a Decision Tree
Volume
211.0 MB
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Course Specifications
Sections
11
Lessons
172
Capacity
Unlimited
Duration
5:00 Hours
Students
0
Access Duration
99999 Days
Created Date
18 Nov 2025
Updated Date
19 Nov 2025
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Python Projects for Beginners
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