Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, community news, and more. When we encounter a new technology — say, LLM applications — some of us tend to jump right in, sleeves rolled up, impatient to start tinkering. Others prefer a more cautious approach: reading …
TDS Newsletter: The Theory and Practice of Using AI Effectively Read More »
Sponsored Content Training and maintaining AI models require a steady flow of high-quality, up-to-date data, especially from dynamic sources like search engines. Manually scraping Google, Bing, YouTube, or other search engine results pages involves challenges such as CAPTCHA, rate limits, and changing HTML structures. For developers and data scientists building AI systems, these …
Automating Web Search Data Collection for AI Models with SerpApi Read More »
running a series where I build mini projects. I’ve built a Personal Habit and Weather Analysis project. But I haven’t really gotten the chance to explore the full power and capability of NumPy. I want to try to understand why NumPy is so useful in data analysis. To wrap up this series, I’m going to …
NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis Read More »
Image by Author # Introduction Keeping up with data science is not always easy. Every day there are new libraries, papers, datasets, and tools, and I can’t remember them all. I found that just following newsletters or threads doesn’t really work. What helps more is having a few go-to resources ready. For me, it’s like …
What’s on My Bookmarks Bar: Data Science Edition Read More »
An ounce of prevention is worth a pound of cure. Benjamin Franklin 1. of Humidity Forecasting for Reliable Data Centers As the power requirements of AI skyrocket, the infrastructure that makes it all possible is pushing against limited resources. By 2028, new research shows that AI could consume electricity that is equal to 22% of …
Image by Author # Introduction The ability to collect high-quality, relevant information is still a core skill for any data professional. While there are several ways to gather data, one of the most powerful and dependable methods is through APIs (application programming interfaces). They serve as bridges, allowing different software systems to communicate and share …
Collecting Real-Time Data with APIs: A Hands-On Guide Using Python Read More »
, you should take testing your code seriously. You might write unit tests with pytest, mock dependencies, and strive for high code coverage. If you’re like me, though, you might have a nagging question lingering at the back of your mind after you finish coding a test suite. “Have I thought of all the edge cases?” …
Let Hypothesis Break Your Python Code Before Your Users Do Read More »
Sponsored Content Is your team using generative AI to enhance code quality, expedite delivery, and reduce time spent per sprint? Or are you still in the experimentation and exploration phase? Wherever you are on this journey, you can’t deny the fact that Gen AI is increasingly changing our reality today. It’s becoming remarkably …
Generative AI Hype Check: Can It Really Transform SDLC? Read More »
Mathematics is the foundational language of the universe, providing the tools to describe everything from the laws of physics to the intricacies of biology and the logic of computer science. For centuries, its frontiers have been expanded by human ingenuity alone. At Google DeepMind, we believe AI can serve as a powerful tool to collaborate …
Google DeepMind and Google.org announce AI for Math Initiative Read More »
a small NumPy project series where I try to actually build something with NumPy instead of just going through random functions and documentation. I’ve always felt that the best way to learn is by doing, so in this project, I wanted to create something both practical and personal. The idea was simple: analyze my daily …
Using NumPy to Analyze My Daily Habits (Sleep, Screen Time & Mood) Read More »
