Course Introduction
This masterclass provides a complete, beginner-friendly path into Python programming, guided by Tim Buchalka and an experienced team of software developers. The course covers Python fundamentals, object-oriented programming, practical coding techniques, and the core skills needed to build your own applications or transition into fields like data science, automation, and machine learning.
With more than 60 hours of structured content, updated exercises, and step-by-step explanations, this training is designed to take absolute beginners to a confident programming level.
Instructor: Tim Buchalka & Team
Last Updated: December 2025
Duration: 60.5 hours on-demand video
Rating: 4.6 / 5 (105,074 ratings)
Learners: 438,020 students
Languages: English, Arabic (Auto)
Certificate: Included
Access: Lifetime on mobile & TV
Extras: 22 coding exercises • 13 articles • 13 downloadable resources
Coupon Applied: UDEAFFHP22025
Key Highlights
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Complete beginner-to-advanced Python training
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Covers Python 3 thoroughly, with references to Python 2 where relevant
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Teaches programming logic, functions, modules, data structures, and OOP
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Real coding exercises included throughout the course
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Designed and delivered by professional software developers
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Practical focus: build your own programs using real examples
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Suitable for learners aiming for development roles, automation, ML, and more
What You Will Learn
Python Fundamentals
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Installing Python and setting up development environments
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Variables, data types, operators, and expressions
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Working with lists, dictionaries, tuples, and sets
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Writing functions and handling user input
Control Flow & Core Programming Concepts
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Conditional statements and looping structures
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Error handling and debugging best practices
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File handling, reading/writing text and binary files
Object-Oriented Programming (OOP)
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Classes, objects, attributes, and methods
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Inheritance, encapsulation, and polymorphism
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Writing modular, reusable code using OOP principles
Intermediate to Advanced Python Concepts
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Modules, packages, and virtual environments
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Iterators, generators, and comprehensions
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Working with external libraries and Python’s standard modules
Real-World Python Applications
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Building standalone Python programs
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Using Python foundations for data science and ML preparation
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Scripts for automation and productivity
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Exposure to Python 2 concepts where necessary for legacy systems
Hands-On Practice
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22 updated coding exercises for practical skill-building
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Clear explanations and downloadable source code
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Gradual complexity increase to match your learning pace
Frequently Asked Questions (FAQ)
Q — Do I need prior programming experience?
A — No. The course begins from zero and explains every concept in detail.
Q — Does the course cover Python 3?
A — Yes. Python 3 is the main focus, with Python 2 references included for completeness.
Q — Can this course help me start a career in development or data science?
A — Yes. It builds the foundation needed for software development, data analysis, automation, and machine learning pathways.
Q — Are the coding exercises useful for real practice?
A — The exercises help reinforce each lesson, giving you hands-on experience writing Python code.
Q — Do I need special software or paid tools?
A — No. Everything needed is free, and setup instructions are included.
Q — Is the course updated?
A — Yes. It includes refreshed subtitles, improved slides, and enhanced video playback instructions as part of the latest update.
Why This Course Stands Out
Tim Buchalka’s courses are known for their clarity and structured approach, and this masterclass is no exception. The lessons are paced well for beginners, supported by extensive coding practice and real developer insights. The focus on both foundational and advanced topics makes it a strong choice for learners who want thorough, long-term Python skills.
