MATHBYTE ACADEMY

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✓ You've written Python but want to understand what's happening under the hood✓ You're preparing for technical interviews at top companies✓ You want to write professional, idiomatic Python—not just code that works✓ You're building production systems and need deep language mastery✓ You prefer understanding over memorization

01

Python Fundamentals

BEGINNER → INTERMEDIATE • 48+ HOURS

Transition from writing code to thinking like a programmer. Master core syntax, control flow, data structures, functions, and decorators—then apply your skills with NumPy, Pandas, and Matplotlib. Not memorization—understanding.

Core Syntax • Control Flow • Functions • Comprehensions • Decorators • Standard Library • NumPy • Pandas • Matplotlib

• Enroll on Udemy

02

Python Deep Dive Series

ADVANCED • 4-PART SERIES • 140+ HOURS

The definitive exploration of Python's internals. Understand exactly what happens when your code executes—memory management, iteration protocols, hash maps, and the full object model. For developers ready to master the language.

Part 1 - Functional: Variables, memory, higher order functions, closures, decorators, modulesPart 2 - Iteration: Iterables, iterators, generators, context managersPart 3 - Hash Maps: Dictionaries, sets, JSON serializationPart 4 - OOP: Classes, inheritance, metaclasses, descriptors, slots

• Explore Deep Dive Series

03

Pydantic V2: Essentials

ADVANCED • DATA VALIDATION • 13+ HOURS

Production-ready data validation for modern Python. Master Pydantic V2's model configuration, custom validators, serialization, and real-world patterns. Essential for FastAPI, REST APIs, databases, queues, and AI/LLM applications.

Model Configuration • Field Aliasing • Custom Validators • Annotated Types • Serialization • Computed Fields • Complex Models

• Enroll on Udemy

"This is the first Python course I've taken where concepts have been explained from a computer science point of view. The instructor is superb. I'm learning exactly what I need to know from this course. Could not recommend enough!"

- Python Fundamentals Student

"The best Python courses I've ever taken. Fred explains the 'why' behind everything, not just the 'how.' After finishing the Deep Dive series, I finally feel like I truly understand Python."

- Deep Dive Student

"Wonderful explanation with clear and detailed examples. Everything was broken down step-by-step, making it very easy to understand. Really appreciate the depth and clarity of teaching!"

- Python Fundamentals Student

"This course goes into a lot of detail. At first I indended to use it as a reference because it is so vast. But then I noticed that every lecture contains something interesting and unexpected, even the topics I was certain to know everything about. So now I'm doing it end-to-end, whenever there is time. Its realy worth it."

- Deep Dive Student

"I have taken many Python courses and decided to take this as a refresher. Wow! I am learning a lot! Good thing I did not decide to skip over any video at the beginning, and now I finally really understand how PATH, venv, and other valuable things mean. "

- Python Fundamentals Student

"The Pydantic course is exactly what I needed for my FastAPI projects. Clear explanations, practical examples, and now I actually understand what my validation code is doing."

- Pydantic Essentials Student

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YouTube Channel

In-depth Python tutorials on type hinting, data classes, Pydantic, async patterns, and idiomatic coding practices. Free videos released regularly.

• Watch Free

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GitHub Repositories

Fully annotated Jupyter notebooks (think like an interactive book), exercise solutions, and companion code for every course. Open source and always available. These notebooks cover everything I cover in the courses and the YouTube channel.Heck, if video is not your thing, you can take my courses for free simply by going to my GitHub page linked below.

• View Code

Do I need prior Python experience?

For Python Fundamentals: No, the course starts from the beginning, though basic command line familiarity helps. For the Deep Dive series and Pydantic: Yes, you'll need solid Python fundamentals first.

What's the difference between Fundamentals and Deep Dive?

Fundamentals teaches you Python from scratch through intermediate concepts. Deep Dive assumes you already know Python and takes you under the hood—memory management, protocols, metaprogramming. Think of it as "learning Python" vs. "mastering Python."

Are the GitHub notebooks enough, or do I need the videos?

The notebooks are comprehensive and fully annotated—you can learn a lot from them alone. However, the videos provide detailed explanations, live coding demonstrations, and the reasoning behind each concept that's hard to capture in text.

Do you offer refunds?

All courses are hosted on Udemy, which offers a 30-day money-back guarantee. If a course isn't right for you, you can request a full refund within that window.

How do Deep Dive Parts 1-4 relate to each other?

Each part is standalone but builds conceptually. Part 1 (Functional) is the recommended starting point. From there, take them in order or jump to topics you need most: Part 2 (Iteration), Part 3 (Hash Maps), or Part 4 (OOP).