CF

Advanced Programming with Python

34h 56m 12s
English
Paid

"Advanced Python Programming" is a comprehensive journey through essential development concepts and tools that enable the creation of more reliable, flexible, and maintainable software. Crafted by a programmer with 30 years of experience, the course melds time-tested practices with modern concepts that the author continues to explore. The primary goal is to teach students how to solve problems not just for "today," but to write code that is future-ready.

Course Overview

Throughout the course, you will explore topics such as data abstraction, interface design, object-oriented and functional programming, event-driven systems, problem modeling, testing, and methods for easy code verification. The central theme is composability: modern programming revolves around assembling systems from existing components, understanding their interactions, and making architectural decisions that affect scalability and complexity.

Rather than emphasizing the "exotic" features of the language or trendy libraries, the course poses deeper questions: how to make the complex look simple?

Key Topics of the Course

  1. Basics of programming and abstraction.
  2. Designing and using interfaces.
  3. Object-oriented programming: composition, inheritance, testability.
  4. Event-driven systems and finite state machines.
  5. Functional programming: higher-order functions, composition, combinators.
  6. Advanced testing strategies: invariants, randomized testing, model verification.
  7. Problem-focused programming: how to highlight the essence of a task and avoid distracting details.

Target Audience

This course is tailored for developers who aim to elevate their expertise in library and application development. While deep knowledge of "advanced" Python features is not required, familiarity with basic data structures, functions, and classes, as well as an understanding of standard algorithms, is crucial.

Course Format

The course is practice-centric: you can anticipate engaging in about 10 comprehensive projects in Python and participating in group discussions to solidify the concepts in practice.

About the Author: David Beazley

David Beazley thumbnail

David Beazley is one of the most authoritative independent voices on the Python language, author of the Python Cookbook (O'Reilly), Python Distilled, and the long-running PyCon tutorial series that has shaped how serious Python engineers think about the language. He has been teaching Python continuously since the late 1990s.

His CourseFlix listing carries four David Beazley courses: Advanced Programming with Python, the Crusty Interpreter (a Rust implementation exercise), Write a Compiler, and the Rafting Trip retreat-style intensive. The teaching style is unusually rigorous about the language and the foundational CS topics underneath it — David's courses are taught at the level of someone who has implemented Python interpreters and language tooling for decades.

Material is paid and aimed at experienced Python developers ready to study the language at depth. For broader content, see CourseFlix's Python category page.

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#1: Day 1-1
All Course Lessons (10)
#Lesson TitleDurationAccess
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Day 1-1 Demo
03:28:54
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Day 1-2
03:24:59
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Day 2-1
03:29:43
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Day 2-2
03:28:39
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Day 3-1
03:36:39
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Day 3-2
03:30:58
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Day 4-1
03:31:44
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Day 4-2
03:31:15
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Day 5-1
03:30:15
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Day 5-2
03:23:06
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Frequently asked questions

What are the prerequisites for enrolling in this course?
Prospective students should have a solid understanding of basic programming concepts and experience with Python. Familiarity with object-oriented programming and functional programming concepts will be beneficial, as these areas are explored in depth during the course.
What projects or systems will I build during the course?
The course focuses on problem modeling and designing systems using data abstraction and interface design. Students will work on projects related to event-driven systems and finite state machines, enhancing their skills in creating scalable and maintainable software.
Who is the target audience for this course?
This course is ideal for software developers with intermediate Python experience who wish to deepen their understanding of advanced programming concepts. It is particularly suited for those interested in improving their ability to write flexible and future-ready code.
How does this course compare to other advanced Python courses?
Unlike other courses that may focus on specific libraries or frameworks, this course emphasizes core programming principles such as composability and architectural decision-making. It aims to teach students how to handle complexity by making the complex look simple.
What specific tools or platforms does the course use?
The course does not center around specific tools or platforms but rather focuses on essential programming concepts. Students will explore object-oriented and functional programming, as well as advanced testing strategies, without reliance on particular libraries or tools.
What topics are explicitly not covered in this course?
The course does not focus on the latest Python libraries or trendy programming features. Instead, it dedicates time to core principles like interface design, data abstraction, and methods for easy code verification, aiming for long-term skill development.
How much time should I expect to commit to this course?
The course consists of 10 lessons, each designed to provide a comprehensive understanding of advanced programming concepts. Students should be prepared to dedicate time for in-depth study and practical exercises to fully grasp the material and apply it effectively.