In 2023, Towards Data Science reflected on the diversity and dynamism of the data science field, curating memorable posts in programming, career growth, and creative projects. The selection included articles on Python coding, career advice, and responsible AI deployment. The authors expressed gratitude for the support and announced a short hiatus for the holiday season.
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Programming for Data Scientists
Coding was Hard Until I Learned These 2 Things
Natassha Selvaraj’s viral hit offers actionable advice and inspiration for aspiring developers.
Pandas 2.0: A Game-Changer for Data Scientists?
Miriam Santos’s overview walks through the notable features of the library’s major 2.0 release.
12 Python Decorators to Take Your Code to the Next Level
Ahmed Besbes covers 12 decorators for more efficient code.
5 Python Tricks That Distinguish Senior Developers From Juniors
Tomer Gabay shows how small tweaks in code can make an outsized impact.
Career Growth
6 Bad Habits Killing Your Productivity in Data Science
Donato Riccio provides concrete, hands-on advice to overcome unproductive habits.
The Portfolio That Got Me a Data Scientist Job
Matt Chapman’s guide resonated with practitioners aiming to stand out amid a competitive field.
Using OpenAI and Python to Enhance Your Resume: A Step-by-Step Guide
Piero Paialunga demonstrates using new tools to streamline resume-building with ChatGPT and Python.
How to Create an Effective Self-Study Routine to Teach Yourself Data Science Successfully
Madison Hunter explains how to create a self-study routine that is both effective and sustainable.
Creative Projects and Opinion Pieces
How I Built a Lo-fi Music Web Player with AI-Generated Tracks
Aleksandra Ma’s fun and clever project demonstrates AI’s power to inspire innovative projects.
Regulating AI: The Case for a Mechanisms-Based Approach
Viggy Balagopalakrishnan shares an opinionated take on how to make AI development more effective.
A Pathway Towards Responsible AI-Generated Content
Lingjuan Lyu’s post charts a roadmap towards a more responsible deployment of AI technology.
The Forbidden Pages: A Data Analysis of Book Bans in the US
Yennie Jun’s deep dive into book bans showcases data’s power to inform important conversations.
Free From Limitations: The Validation of Machine Hallucinations at MoMA
Christian Burke’s work on a collaborative human/AI installation at MoMA offers a fascinating look into new directions for creators.
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