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Duarte Oliveira e Carmo

Works at the crossroads of machine learning, data science, and software engineering.

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Mar 24, 2023 • 1h 2min

Lessons Learned From Four Years Programming With Python

What are the core lessons you’ve learned along your Python development journey? What are key takeaways you would share with new users of the language? This week on the show, Duarte Oliveira e Carmo is here to discuss his recent talk, “Four Years of Python.” Duarte works at the crossroads of machine learning, data science, and software engineering. He began using Python in his graduate studies and never looked back. In 2021, he wrote a blog post about some of the valuable lessons he’s learned. Then he decided the lessons and concepts in the post might make a good conference talk. We cover the steps in his process of crafting the presentation, practicing it at a smaller conference, and finally presenting it at PyCon Italia last year. We also dig into the four major themes of the talk. Along the way, we share a collection of resources to help you continue learning on your Python journey. Course Spotlight: Building a URL Shortener With FastAPI and Python In this video course, you’ll build an app to create and manage shortened URLs. Your Python URL shortener can receive a full target URL and return a shortened URL. You’ll also use the automatically created documentation of FastAPI to try out your API endpoints. Topics: 00:00:00 – Introduction 00:02:38 – Four years of Python 00:04:18 – Why did you create a blog? 00:06:19 – A singular vs wide focus for the blog 00:09:19 – Pitching the talk to conferences 00:13:02 – Resources for preparing your talk 00:16:03 – What was your programming and Python background? 00:19:00 – Sponsor: InfluxData 00:19:47 – Reading is better than Googling 00:26:23 – What are some of your favorite docs? 00:28:48 – Thoughts on GPT and Copilot 00:31:45 – Keep it stupid simple 00:36:07 – What’s extensible code? 00:38:29 – Video Course Spotlight 00:39:54 – Learning testing techniques & testing data science code 00:46:05 – Continuous learning 00:51:46 – What do you use for RSS? 00:53:06 – Resources for machine learning 00:57:20 – What are you excited about in the world of Python? 00:58:57 – What do you want to learn next? 01:00:55 – How can people follow the work you do? 01:01:20 – Thanks and goodbye Show Links: Four years of Python - Duarte O.Carmo Four years of Python - Duarte Carmo - YouTube Practices of the Python Pro Pelican 4.8.0 “One for Them, One for Me” - Blank Check Movies From Famous Directors PyData NumFOCUS: A Nonprofit Supporting Open Code for Better Science Proposing a Talk - PyCon US 2023 pandas documentation - pandas 1.5.3 documentation scikit-learn 1.2.2 - User guide - documentation FastAPI - Tutorial - User Guide Using FastAPI to Build Python Web APIs - Real Python Python 3.11.2 Documentation Kindle Highlights Newsletter Reeder 5 Welcome to Feedly Normconf: The Normcore Tech Conference Tech Blog - ★❤✰ Vicki Boykis ★❤✰ Sebastian Raschka - Blog Blog of a data person. - koaning.io Machine Learning Design Patterns - Book The Practical AI Podcast - Changelog tidytuesday: Official repo for the #tidytuesday project PyCon.DE & PyData Berlin, 2023 - PyConDE & PyData Berlin 2023 PyCon Italia - 2023 ruff - PyPI Effective Python › The Book: Second Edition Episode #3: Effective Python and Python at Google Scale - The Real Python Podcast Duarte O.Carmo Talks - Duarte O.Carmo Duarte O.Carmo - LinkedIn Level up your Python skills with our expert-led courses: Python REST APIs With FastAPI Splitting Datasets With scikit-learn and train_test_split() Building a URL Shortener With FastAPI and Python Support the podcast & join our community of Pythonistas

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