Episode 49: The Challenges of Developing Into a Python Professional
The Real Python Podcast
What’s the difference between writing code for yourself and developing for others? What new considerations do you need to take into account as a professional Python developer? This week on the show, we talk to Dane Hillard about his book “Practices of the Python Pro”.
Episode Sponsor:
Dane discusses his philosophy on the design principles that go into writing code. We talk about namespaces, object-oriented design, and how to keep your code extensible. We also consider the how and when of code optimization.
Course Spotlight: Dictionaries and Arrays: Selecting the Ideal Data Structure
In this course, you’ll learn about two of Python’s data structures: dictionaries and arrays. You’ll look at multiple types and classes for both of these and learn which implementations are best for your specific use cases.
Topics:
- 00:00:00 – Introduction
- 00:01:29 – Release and response to Practices of the Python Pro
- 00:03:12 – What was the writing process like?
- 00:06:09 – What makes someone a professional?
- 00:12:30 – How have you and the tools changed in Python testing?
- 00:14:10 – When did you start to see the change in your career?
- 00:15:42 – Sponsor: PyCharm
- 00:16:27 – What topic were you excited to share in the book?
- 00:17:49 – The importance of code design and ergonomics
- 00:20:52 – Why is managing and designing namespaces important?
- 00:26:32 – Expanding that design thought process to object-oriented programming
- 00:30:02 – Differences of functional vs object-oriented programming
- 00:34:40 – Video Course Spotlight
- 00:36:04 – What do you mean by extensible?
- 00:42:59 – How and when to optimize code?
- 00:45:57 – Sharing developer philosophy
- 00:46:52 – What are you excited about in the world of Python?
- 00:48:31 – What do you want to learn next?
- 00:51:03 – Thanks and goodbye
Show Links:
- Practices of the Python Pro
- Dane’s Website
- Effective Python Testing With Pytest: Real Python Article
- pytest: helps you write better programs
- An Effective Python Environment: Making Yourself at Home - Real Python Article
- FastAPI framework, high performance, easy to learn, fast to code, ready for production
- Django: The web framework for perfectionists with deadlines
- Django: GitHub
- Graphene-Django: Provides Abstractions to Add GraphQL Functionality to Your Django Project
