Learning Intermediate Python With a Deep Dive Course

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Apr 11, 2025

Explore the challenges of learning Python beyond the basics as participants share their personal journeys. Discover how structured group classes enhance accountability and knowledge retention. Dive into the effectiveness of combining written tutorials with video courses for a richer learning experience. The discussion also highlights practical applications, like using Python for network administration and automated testing, emphasizing real-world relevance and community support in coding.

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INSIGHT

Java to Python: A Paradigm Shift

Akhil, a software test engineer, found Python's flexibility challenging after working with Java.
He struggled to balance object-oriented programming with Python's modular approach.

ANECDOTE

Self-Taught Python Journey

Rich, primarily self-taught in Python, used LinkedIn Learning and informal work guidance.
He also took a pre-recorded online course before Real Python.

INSIGHT

OOP in Python vs. Java

Akhil found it hard to know when to use OOP in Python after working with Java.
Python's flexibility and the concept of everything being an object presented a learning curve.

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Do you want to learn deeper concepts in Python? Would the accountability of scheduled group classes help you get past the basics? This week, five Real Python Intermediate Deep Dive workshop members discuss their experiences.

We discuss the struggles of learning Python independently and the barriers to moving beyond the basics. We also explore the advantages of having a curated collection of both written tutorials and video courses. The cohort members also talk about filling in the gaps in their knowledge, using their new skills at work, and building confidence in their Python journey.

Check out realpython.com/live to join the upcoming cohort of the Intermediate Python Deep Dive course.

Course Spotlight: Efficient Iterations With Python Iterators and Iterables

In this video course, you’ll learn what iterators and iterables are in Python. You’ll learn how they differ and when to use them in your code. You’ll also learn how to create your own iterators and iterables to make data processing more efficient.

Topics:

00:00:00 – Introduction
00:02:04 – Matt’s background
00:03:17 – Chris’ background
00:05:55 – Jerry’s background
00:07:40 – Akhil’s background
00:09:25 – Rich’s background
00:10:35 – What skills didn’t translate from the previous language?
00:11:54 – Learning deeper concepts about OOP in Python
00:15:42 – Moving beyond scripts and ability to read code
00:19:41 – How accountability helps with learning
00:23:41 – Challenges with self-paced learning
00:28:11 – Having a curated collection of written and video materials
00:33:28 – Video Course Spotlight
00:34:56 – What were surprising discoveries?
00:36:32 – Working on a project
00:37:27 – Using these new skills at work
00:45:01 – Refining existing skills
00:46:41 – Do you feel more confident to learn even further?
00:49:26 – What are other Python projects you work on?
00:55:17 – Thanks and goodbyes

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