The Dataquest Download
Level up your data and AI skills, one newsletter at a time.
Hello, Dataquesters!
Here’s what we have in store for you in this edition:
Top Read: AWS vs Azure vs GCP—find out which cloud platform fits your next project. Learn more
From the Community: Discover a Python project on Hacker News trends, interview tips, and beginner-friendly data tools. Learn more
New Resource: Build your own word guessing game in Python to practice logic and object-oriented programming. Start project
AWS vs Azure vs GCP: Which Cloud Platform Should You Choose?
They may offer similar tools, but Amazon, Microsoft, and Google each bring something different to the cloud table. This tutorial breaks down how AWS, Azure, and GCP compare across services, pricing, and real-world use cases—so you can choose the right provider (or mix of them) for your next project. Whether you’re deploying a web app or scaling globally, this post has the insights you need.
From the Community
Best Time to Ask on Hacker News: Huynh analyzed post timing using Python and the collections library, delivering a polished report—an impressive feat for a beginner project.
My Journey to Become a Data Scientist: Neha shares her inspiring path from a non-tech background to data science, highlighting the role of the Community in her growth.
Unconventional Lessons from Empathetic Interviewing: Qi offers a thoughtful guide to better interview practices, plus a must-read resource on doing impactful work.
Boilerplate for Exploring Any Dataset in Python: Linky created a handy function to speed up your initial data exploration steps.
Permutations in R Explained: Raisa breaks down how to calculate permutations in R and how to avoid common logic errors.
Fixing seaborn FutureWarning: Alla shares two quick resources to help you troubleshoot and fix FutureWarning in seaborn plots.
DQ Resources
Build A Python Word Guessing Game: Learn to create a Wordle-style word guessing game in Python. A fun way to practice programming fundamentals like loops, logic, and object-oriented design. Great for beginners looking to build interactive projects. Learn more
Analyzing Kaggle Data Science Survey: Practice core Python skills like lists, loops, and conditionals while exploring trends in programming languages and compensation among data scientists. A great hands-on project to build your data analysis foundation. Learn more
Networking Tips for Aspiring Data Professionals: Learn actionable strategies on how to build meaningful connections and grow your network as a data professional, even if you’re just starting out. Learn more
What We're Reading
Could Breaking Up Big Tech Boost AI?: Antitrust action against Meta and Google might unlock more AI innovation by making space for smaller, faster-moving players—similar to post-AT&T breakup effects.
FutureHouse Launches AI Agents to Accelerate Science: Backed by Eric Schmidt, FutureHouse unveiled AI tools that outperform PhDs in tasks like literature review and experiment planning—fueling the vision of an “AI Scientist” within a decade.
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