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5 Popular Posts on Making Your Life as a Data Scientist Easier

From speeding up your loading time to streamlining your learning process

Photo by Oskars Sylwan on Unsplash
Photo by Oskars Sylwan on Unsplash

As editors, we love highlighting the best articles we publish; with so much going on in the world, it’s all too easy to miss a great post. To help you find them, we add new Editor’s Picks every day, and if you’re not already getting the Variable—our weekly selection of must-reads—you really should sign up.

It gives us equal joy to discover the posts that our audience finds most useful, and after looking back at last month’s crop, we wanted to share five of our most popular posts published in July.

The authors of these posts might come from diverse professional backgrounds and approach Data Science from different angles, but they all have one thing in common: their goal is to help data scientists in their work, whether it’s through speeding up workflows, giving crucial skills a boost, or helping their peers learn more effectively.

Let’s dive in.


"I Tripled My Income with Data Science. Here’s How."

The most-read article we published in July, Natassha Selvaraj‘s account of her own career transformation clearly resonated with TDS readers: based on personal experience but full of actionable insight, many of you found her story inspiring.

I tripled my income with data science. Here’s how.

"Do You Read Excel Files with Python? There is a 1000x Faster Way."

If speeding up data-loading by three orders of magnitude sounds like an enticing premise, you’ll find great value in Nicolas Vandeput‘s experiment-meets-tutorial on processing Excel files in Python.

Do You Read Excel Files with Python? There is a 1000x Faster Way.

"Data Scientist’s Guide to Efficient Coding in Python"

Learning core technical skills and best practices is crucial for aspiring data scientists, but can only get one so far. Dr. Varshita Sher fills in the gaps with a collection of useful tips and tricks that make day-to-day Python workflows smoother and more efficient.

Data scientist’s guide to efficient coding in Python

"How to Quickly Become a Data Scientist"

Unlike your typical "Get X Faster" guide, Mohammed Ayar‘s post acknowledges that studying and training to become a data scientist takes a great deal of hard work and practice. But that doesn’t mean there aren’t ways to fast-track the process, which is what the framework he shares can help you with.

How to Quickly Become a Data Scientist

"5 Things that Make My Job as a Data Scientist Easier"

After a year on the job, Shree Vandana has learned some important lessons about the tools and processes that can turn a sluggish day into a productive and effective one. Whether or not you’re an early-career data scientist, you should check out her recommendations.

5 things that make my job as a Data Scientist easier


Did you read (or write) a recent post that might help other data scientists in their work? Share it in the comments!


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