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Parul Pandey Parul Pandey
Updated on August 12, 2022

How to Automate Your Data Science Project Structure in 3 Easy Steps

Trying and failing to decipher your own codebase? Remember: Good code is its own best documentation.

Parul Pandey Parul Pandey
Updated on August 12, 2022

Beware of the Dummy Variable Trap in Pandas

Here are a few important caveats to keep in mind when you’re encoding data with pandas.get_dummies().

Parul Pandey Parul Pandey
Updated on August 12, 2022

Replicate GitHub-Style Contribution Plots for Your Time Series Data

Here’s how to heat up your heat maps and make sure they stand out.

Parul Pandey Parul Pandey
Updated on August 12, 2022

From Clipboard to DataFrame With Pandas: A Quick Guide

Read data directly from the clipboard without saving it first. Here’s how.

Parul Pandey Parul Pandey
Updated on August 12, 2022

10 Python Image Manipulation Tools You Can Try Today

Here’s an overview of some commonly used Python libraries that provide an easy and intuitive way to transform images.

Omar Rabbolini Omar Rabbolini
Updated on August 12, 2022

Thoughtful Agile Implementation Leads to Better Management Results

Agile won’t produce great software on its own. For that, you need great management of engineers and product designers.

Olusayo Adeleye Funke Aderonmu Olusayo Adeleye Funke Aderonmu
Updated on August 12, 2022

9 Black Women in Data Science You Should Know

In honor of #BlackinDataWeek, the Sadie Collective has a list of nine Black women data scientists to know.

Zack Minott Zack Minott
Updated on August 10, 2022

This Is Why Your Development Projects Fail

Too often, developers carry out their work with the mindset that everything will go perfectly. This type of blind optimism can have disastrous consequences.

Zack Minott Zack Minott
Updated on August 10, 2022

3 Mental Habits of Effective Developers

Many developers struggle in their work not because of technical shortcomings, but rather mental ones. Work on these soft skills to avoid falling into the same trap.

Zack Kertcher Zack Kertcher
Updated on August 10, 2022

Why You Shouldn’t Ignore Ad Hoc Analytics

To benefit from analytics more broadly, companies should facilitate linear data-focused operations while investing in discovery through nonlinear analytics.