Join 25,000+ aspiring Data Scientists and receive Python & Data Science tips every Tuesday:
We respect your privacy. Unsubscribe at any time.
Get better at Data Science every week 📈
Previous Tuesday Tips:
Tuesday Tip #50: What is a "method" in Python? 🐍
Sent a day ago
Tuesday Tip #49: How confident are your predictions? 🤔
Sent 8 days ago
Tuesday Tip #48: Three ways to set your environment variables ✅
Sent a month ago
Tuesday Tip #47: Upgrade your terminal app 🖥️
Sent a month ago
Tuesday Tip #46: How to prevent data leakage in pandas & scikit-learn ☔
Sent 6 months ago
Tuesday Tip #45: How to read the scikit-learn documentation 📚
Sent 7 months ago
x = 43; x += 1; print(f"Tuesday Tip #{x}")
Sent 7 months ago
Tuesday Tip #43: Should you discretize features for Machine Learning? 🤖
Sent 7 months ago
Tuesday Tip #42: Jupyter & IPython terminology explained 💡
Sent 8 months ago
Tuesday Tip #41: Profile your pandas DataFrame 🔎
Sent 8 months ago
Tuesday Tip #40: Build your DataFrame from multiple files 🏗️
Sent 8 months ago
Tuesday Tip #39: Six quick Python tricks 🎯
Sent 9 months ago
Tuesday Tip #38: Give your pandas (columns) new names 🐼
Sent 9 months ago
Tuesday Tip #37: Use scikit-learn's magical model ✨
Sent 9 months ago
Tuesday Tip #36: Deciphering the pandas index 🕵️♂️
Sent 10 months ago
Tuesday Tip #35: Get started with conda environments 🤝
Sent 10 months ago
Tuesday Tip #34: What are conda, Anaconda, and Miniconda? 🐍
Sent a year ago
Tuesday Tip #33: Three useful Python tricks 🐍
Sent a year ago
Tuesday Tip #32: Fancy filtering in pandas 🎩
Sent a year ago
Tuesday Tip #31: Data cleaning with pandas 🧹
Sent a year ago
Tuesday Tip #30: Create stunning data visualizations 🖼
Sent a year ago
Tuesday Tip #29: Reuse Python code with magic commands 🎩🐇
Sent a year ago
Tuesday Tip #28: 10 cool features in Google Colab 😎
Sent a year ago
Tuesday Tip #27: Automate your feature selection 🤖
Sent a year ago
Tuesday Tip #26: Get your ML project started quickly 📈
Sent a year ago
Tuesday Tip #25: Spice up your GitHub profile 🔥
Sent a year ago
Tuesday Tip #24: Easier coding in Jupyter with "magic" tricks 🪄
Sent a year ago
Tuesday Tip #23: Solve a medical mystery 🧪
Sent a year ago
Tuesday Tip #22: How to get coding help from a human 🙋♂️
Sent a year ago
My 6 best Tuesday Tips 🎯
Sent a year ago
Tuesday Tip #21: Find the perfect dataset for your next project 🎯
Sent a year ago
Tuesday Tip #20: Dictionary comprehensions in Python 📚
Sent a year ago
Tuesday Tip #19: Solution to Code Challenge #1 🏆
Sent a year ago
Tuesday Tip #18: Monty Hall problem 🐐🚘🐐 (Code Challenge #1!)
Sent a year ago
Tuesday Tip #17: Make your own *private* GPT 🔒
Sent
Tuesday Tip #16: Smarter counting in Python 🤓
Sent 1 years ago
Tuesday Tip #15: Keep up with AI 🧠
Sent 1 years ago
Tuesday Tip #14: Ensemble your ML models for better performance 🎯
Sent 1 years ago
Tuesday Tip #13: Use pandas resample() with time series data 📈
Sent 1 years ago
Tuesday Tip #12: Make your FIRST open source contribution 🏆
Sent 1 years ago
Tuesday Tip #11: Power up your pandas DataFrame 🐼
Sent 1 years ago
Tuesday Tip #10: Unlock GitHub's secret features 🔐
Sent 1 years ago
Tuesday Tip #9: Calculate scoring runs in basketball 🏀
Sent 1 years ago
Tuesday Tip #8: Build a dataset with regular expressions 👷♂️
Sent 1 years ago
Tuesday Tip #7: Time zones and Daylight Savings Time in pandas ☀️
Sent 1 years ago
Tuesday Tip #6: Share your code with GitHub Gist 👩💻
Sent 1 years ago
Tuesday Tip #5: Visualize your pandas code 🐼
Sent 1 years ago
Tuesday Tip #4: Start coding anywhere in 10 seconds flat ⏱️
Sent 1 years ago
Tuesday Tip #3: Fly through Jupyter with keyboard shortcuts 🚀
Sent 1 years ago
Tuesday Tip #2: Python f-strings? f-yeah! 🧶
Sent 1 years ago