🚀 Day 21 of 365: Review and Practice 🔄📚 🚀
Ajinkya Deokate
Data Scientist | Researcher | Author | Public Speaking Expert @PlanetSpark | Freelancer
Hey, congrats!
Welcome to Day 21 of our #365DaysOfDataScience journey! 🎉
We’ve covered a lot so far, and today is all about pulling it all together. Let's review and practice what we've learned in Week 3 (data types, control structures, functions, and error handling). Think of this as a mini-celebration of how far we've come!
🔑 What We’ll Be Doing Today:
Review all concepts from Week 3:
- Data types: Integers, floats, strings, booleans, and more.
- Control structures: If statements, loops (for, while).
- Functions: Creating reusable blocks of code.
- Error handling: Using try, except, and finally.
📚 Resources:
Practice Time!
- Let’s head over to HackerRank or Kaggle and complete a few Python basics exercises. These platforms have tons of challenges, so pick something that feels like a good refresher!
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✏️ Today’s Task:
Now, for today’s main challenge, let’s build a small project:
- Write a Python script that combines everything we’ve learned:
- Load a dataset (CSV file).
- Use functions to process the data.
- Filter it based on certain criteria (use control structures).
- Implement error handling in case something goes wrong (because, hey, it happens!).
- Output the filtered results.
Pro tip: It doesn’t have to be perfect! Today’s about combining everything and feeling confident with what we’ve covered. You’ll be surprised by how much you’ve already learned and can apply.
Let’s keep the momentum going! And remember, if you hit a snag, we’re all learning together. Feel free to share your progress, and let’s get better with every line of code. 🚀👩💻👨💻
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Extra Resources 👇
I think it's time to see where the professionals play, check out LeetCode and explore what it has to offer
Happy Learning and See you Soon!