Python Programming Masterclass: From Basics to Machine Learning and Web Development
Master Python programming from scratch. Go from fundamental syntax to building real-world projects in automation, machine learning with scikit-learn, and web development with Django.
Course Overview
Welcome to the ultimate Python Programming Masterclass. This course is designed to take you from an absolute beginner to a confident developer capable of building complex backend systems, automating workflows, and training machine learning models.
Target Audience
- Aspiring software developers, backend engineers, and systems architects
- Data scientists, AI enthusiasts, and machine learning beginners
- Professionals looking to automate repetitive, boring tasks
Prerequisites
- No prior programming experience is required! A basic understanding of computer operations and client-server communication is helpful but not mandatory.
Tools & Technologies
- Python 3: The core programming language used throughout the course.
- VS Code & PyCharm: Industry-standard code editors and IDEs.
- Jupyter Notebooks: For interactive data analysis and machine learning workflows.
- Django: A high-level Python web framework for building secure and maintainable backends.
- Pip & PyPI: Tools for managing and installing third-party Python packages.
Key Learning Outcomes
- Write clean, readable, and Pythonic code using industry best practices.
- Master core programming foundations: variables, control flow, functions, and data structures.
- Apply Object-Oriented Programming (OOP) principles like classes, constructors, and inheritance.
- Build real-world projects, including interactive games, automation scripts, and a full-stack e-commerce backend.
- Import, clean, and process datasets to train and evaluate machine learning models.
Course Content
Python Fundamentals & Environment Setup
Setting Up Python 3 and Writing Your First Program
Declaring Variables and Receiving User Input
Type Conversion, Strings, and Arithmetic Operations
Control Flow, Logic & Decision Making
Conditional Logic & Decision Making
Loops & Iteration in Python
Building Practical Control Flow Programs
Data Structures & Collections
Working with Python Lists & 2D Lists
List Methods & Operations
Tuples & Unpacking in Python
Dictionaries & Practical Applications
Sets & Common Set Operations
Functions & Modular Code Design
Defining Functions & Working with Parameters
Advanced Arguments (*args, **kwargs) and Scope
Organizing Code with Modules and Packages
Object-Oriented Programming (OOP)
Defining Custom Classes and Creating Objects
Initializing Objects with Constructors
Reusing Code with Class Inheritance
Practical Automation & File Scripting
Generating Random Values
Working with Directories and Files
Packages with PyPI and Pip
Project: Excel Automation with Python
Introduction to Machine Learning & Data Science
Introduction to Machine Learning & Environment Setup
Importing and Preparing Data with Pandas
Training and Predicting with Scikit-Learn
Model Evaluation, Persistence & Visualization
Full-Stack Web Development with Django
Getting Started with Django & Project Setup
Creating Apps, Views, and URL Routing
Using Templates & Debugging Tools
Building Relational Data Models
This course includes
- 6h 11m on-demand video
- 29 lessons across 8 chapters
- 8 interactive quizzes
- Access on mobile and desktop
- Source playlist on YouTube
About the Channel
Hi! I'm Mosh 👋, a software engineer with over 20 years of experience. I'm all about clear, concise, practical coding tutorials – no fluff, just the good stuff! My courses focus on real-world projects and the skills that will get you hired. I've helped millions of students transform their careers. Want to level up your skills? Subscribe and hit the bell to get notified when I upload new videos! For sponsorships: partners@codewithmosh.com
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