Hi there,

I recently published a video on YouTube about improving data dashboards. That’s great if you already have one, but what if you don't know where to start? 🤔💡

No worries! In this week's video, I'll cover how to set up your own dashboard using Streamlit, a user-friendly tool for creating web apps for any data project! 📊💻

Enjoy the video and happy coding! 😉

Cheers,

Arjan

# News

Git Hooks: We’re Not Using Them Enough!

Git Hooks allows you to run scripts when specific actions occur, such as merging and committing. 🧬

Initially, this may sound appealing. However, if you misuse them, they can actually lead to more problems than solutions. ❌

That’s why, in this week’s Tuesday Tips, I introduced Git Hooks, how to use them, and which pitfalls to avoid! 🕳️

You can watch the video here.

Python Itertools Tutorial: Efficient Data Techniques

Have you ever struggled with complex loops or managing multiple data streams in Python? 🐍

You’re not alone! These tasks can be challenging. 🫂

In this week’s blog, I share my favorite modules for handling iteration. The power of iterators is truly unlocked when combined.

Click here to read the blog and discover some of the awesome and useful combinations I’ve used in my projects.

# Community

In 2023, Showertime posted in our #📈career_and_growth channel seeking advice on transitioning from data science to data engineering. As usual in our Discord community, many helpful individuals shared their opinions, feedback, and recommendations.

What's really interesting is that this post has remained consistently active! New people frequently join the discussion, sparking conversations with new topics or replying to older messages. 🔥

It's truly impressive, making it one of our longest-standing active posts. If you'd like to share your own thoughts, click here to join ArjanCodes' Discord. 💻 click here to join ArjanCodes' Discord. 💻

Our student platform is always buzzing with activity. 🔊

Here's an interesting conversation among students about how to make code operations more performant for pandas DataFrames by using alternatives to the dataframe.apply function.

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Watch this week's video