\n
Comprehensive Python Cheatsheet
\nThis is a truly gigantic cheatsheet (thousands of lines long!) that covers dozens of Python topics from beginner to advanced. Because the information density is so high, it’s more suitable as a reference than as a primary learning tool.
\nIf you’re just getting started with Python, I would instead recommend Python Essentials for Data Scientists, my newly updated course! 🐍
\nOne of the most important assets as a Data Scientist is your portfolio of projects hosted on GitHub. This demonstrates your Data Science experience to potential employers, including your coding skills, your analytical skills, and your ability to communicate.
\nBut in a competitive job market, it’s also important to make a great first impression, starting from the moment someone visits your GitHub profile.
\nGitHub makes this easy by allowing you to create and customize your profile README. Here are some examples:
\nGetting started is easy:
\nThat README file will automatically be displayed on your profile! Here’s mine:
\nIf you’re having a problem with the setup, check out GitHub’s detailed instructions.
\nNot sure what to include in your README? Check out Awesome GitHub Profile READMEs for inspiration!
\nWant to add some fancy badges or widgets? This huge list of tools should help!
\nNew to the Markdown language? Here’s GitHub’s guide to formatting text and images and my favorite Markdown cheatsheet.
\nIf you enjoyed this week’s tip, please forward it to a friend! Takes only a few seconds, and it really helps me grow the newsletter! 🚀
\nSee you next Tuesday!
\n- Kevin
\nP.S. How to Pick Your Life Partner (Part 2)
\nDid someone awesome forward you this email? Sign up here to receive Data Science tips every week!
\n\n\n","recentPosts":[{"id":7563398,"title":"Tuesday Tip #52: Use premium LLMs for pennies 💰","slug":"tuesday-tip-52-use-premium-llms-for-pennies","status":"published","readingTime":2,"campaignCompletedAt":"2024-12-17T15:11:17.000Z","publishedAt":"2024-12-17T15:11:17.000Z","orderByDate":"2024-12-17T15:11:17.000Z","timeAgo":"18 days","thumbnailUrl":"https://embed.filekitcdn.com/e/wW49WBPsD4QcY2GCZ4gYa8/5mZdDVtrg2M2HyjDPEHkVu/email","thumbnailAlt":"","path":"posts/tuesday-tip-52-use-premium-llms-for-pennies","url":"https://tuesday.tips/posts/tuesday-tip-52-use-premium-llms-for-pennies","isPaid":null,"introContent":"Hi Reader, Last week, I encouraged you to experiment with different LLMs, since there’s no one model that is superior across all use cases. Specifically, I suggested you try using Chatbot Arena, which allows you to chat with multiple models at once. It’s completely free, but has two significant disadvantages: Your chats are not private and may be used for research. It lacks the feature-rich interface provided by other LLMs. Today, I want to offer you a better method for experimenting with...","campaignId":17655347,"publicationId":14201440,"metaDescription":""},{"id":7493611,"title":"Tuesday Tip #51: Experiment with LLMs 🧪","slug":"tuesday-tip-51-experiment-with-llms","status":"published","readingTime":2,"campaignCompletedAt":"2024-12-10T15:02:47.000Z","publishedAt":"2024-12-10T15:02:47.000Z","orderByDate":"2024-12-10T15:02:47.000Z","timeAgo":"25 days","thumbnailUrl":"https://embed.filekitcdn.com/e/wW49WBPsD4QcY2GCZ4gYa8/nYdUUBaMP2H1UKBpHRZs6m","thumbnailAlt":"","path":"posts/tuesday-tip-51-experiment-with-llms","url":"https://tuesday.tips/posts/tuesday-tip-51-experiment-with-llms","isPaid":null,"introContent":"Hi Reader, Over the past 50 tips, I’ve touched on many different topics: Python, Jupyter, pandas, ML, data visualization, and so on. Going forward, I’m planning to focus mostly on Artificial Intelligence. I’m announcing this so you know what to expect, and I know what to deliver! 💌 I’ll also try to make the tips shorter, so that they're easier to digest on-the-go. Finally, I plan to include an “action item” each week, so that you can practice what you’re learning. I hope you like these...","campaignId":17574214,"publicationId":14120210,"metaDescription":null},{"id":7265357,"title":"Tuesday Tip #50: What is a \"method\" in Python? 🐍","slug":"tuesday-tip-50-what-is-a-method-in-python","status":"published","readingTime":1,"campaignCompletedAt":"2024-11-19T15:11:18.000Z","publishedAt":"2024-11-19T15:11:18.000Z","orderByDate":"2024-11-19T15:11:18.000Z","timeAgo":"about 2 months","thumbnailUrl":"https://embed.filekitcdn.com/e/wW49WBPsD4QcY2GCZ4gYa8/m8NtnBJYWWxSdbhHuJLk2E","thumbnailAlt":"","path":"posts/tuesday-tip-50-what-is-a-method-in-python","url":"https://tuesday.tips/posts/tuesday-tip-50-what-is-a-method-in-python","isPaid":null,"introContent":"Hi Reader, Next week, I’ll be offering a Black Friday sale on ALL of my courses. I’ll send you the details this Thursday! 🚨 👉 Tip #50: What is a \"method\" in Python? In Python, a method is a function that can be used on an object because of the object's type. For example, if you create a Python list, the \"append\" method can be used on that list. All lists have an \"append\" method simply because they are lists: If you create a Python string, the \"upper\" method can be used on that string simply...","campaignId":17301635,"publicationId":13846144,"metaDescription":null}],"newsletter":{"formId":3448345,"productId":null,"productUrl":null,"featuredPostId":null,"subscribersOnly":false},"isPaidSubscriber":false,"isSubscriber":false,"originUrl":"https://tuesday.tips/posts/tuesday-tip-25-spice-up-your-github-profile","creatorProfileName":"Learn Artificial Intelligence from Data School 🤖","creatorProfileId":46306}Hi Reader,
If I were to dedicate the next Tuesday Tip to you and the Data Science challenge you’re currently facing, what would that Tip be about?
Reply and let me know! 💌
Comprehensive Python Cheatsheet
This is a truly gigantic cheatsheet (thousands of lines long!) that covers dozens of Python topics from beginner to advanced. Because the information density is so high, it’s more suitable as a reference than as a primary learning tool.
If you’re just getting started with Python, I would instead recommend Python Essentials for Data Scientists, my newly updated course! 🐍
One of the most important assets as a Data Scientist is your portfolio of projects hosted on GitHub. This demonstrates your Data Science experience to potential employers, including your coding skills, your analytical skills, and your ability to communicate.
But in a competitive job market, it’s also important to make a great first impression, starting from the moment someone visits your GitHub profile.
GitHub makes this easy by allowing you to create and customize your profile README. Here are some examples:
Getting started is easy:
That README file will automatically be displayed on your profile! Here’s mine:
If you’re having a problem with the setup, check out GitHub’s detailed instructions.
Not sure what to include in your README? Check out Awesome GitHub Profile READMEs for inspiration!
Want to add some fancy badges or widgets? This huge list of tools should help!
New to the Markdown language? Here’s GitHub’s guide to formatting text and images and my favorite Markdown cheatsheet.
If you enjoyed this week’s tip, please forward it to a friend! Takes only a few seconds, and it really helps me grow the newsletter! 🚀
See you next Tuesday!
- Kevin
P.S. How to Pick Your Life Partner (Part 2)
Did someone awesome forward you this email? Sign up here to receive Data Science tips every week!
Join 25,000+ intelligent readers and receive AI tips every Tuesday!
Hi Reader, Last week, I encouraged you to experiment with different LLMs, since there’s no one model that is superior across all use cases. Specifically, I suggested you try using Chatbot Arena, which allows you to chat with multiple models at once. It’s completely free, but has two significant disadvantages: Your chats are not private and may be used for research. It lacks the feature-rich interface provided by other LLMs. Today, I want to offer you a better method for experimenting with...
Hi Reader, Over the past 50 tips, I’ve touched on many different topics: Python, Jupyter, pandas, ML, data visualization, and so on. Going forward, I’m planning to focus mostly on Artificial Intelligence. I’m announcing this so you know what to expect, and I know what to deliver! 💌 I’ll also try to make the tips shorter, so that they're easier to digest on-the-go. Finally, I plan to include an “action item” each week, so that you can practice what you’re learning. I hope you like these...
Hi Reader, Next week, I’ll be offering a Black Friday sale on ALL of my courses. I’ll send you the details this Thursday! 🚨 👉 Tip #50: What is a "method" in Python? In Python, a method is a function that can be used on an object because of the object's type. For example, if you create a Python list, the "append" method can be used on that list. All lists have an "append" method simply because they are lists: If you create a Python string, the "upper" method can be used on that string simply...