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 Contents# Introduction# 1. arXiv: Machine Learning (cs.LG) New Papers# 2. GitHub Trending Python Repos# 3. Data Is Plural# 4. The Rundown AI# 5. RAWGraphs# 6. Quartz Bad Data Guide# 7. Five Minute Stats# 8. Awesome Data Analysis# 9. Mockaroo# 10. Foorilla # Introduction Keeping up with data science is not always easy. Every day there are new libraries, papers, datasets, and tools, and …
What’s on My Bookmarks Bar: Data Science Edition Read More »
An ounce of prevention is worth a pound of cure. Benjamin Franklin Contents1. of Humidity Forecasting for Reliable Data Centers2. A Real-World Case Study: Forecasting Humidity With a Precision Interval3. Data and Forecasting Methods (with Code)3. A. AutoARIMA Forecasting3. B. Prophet Forecasting3. C. Forecasting With NeuralProphet3. D. Random Forest Forecasting3. F. Mixture of Experts (MoE) …
Image by Author Contents# Introduction# What is an API?# Why Using APIs for Data Collection?# Implementing API Calls in Python# Working with the Eurostat API# Best Practices When Working with APIs# Wrapping Up # 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 …
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 »
Image by Author Contents# Introduction# What Makes Jules Different?# The Jules Architecture# Getting Started with Jules# The Jules CLI# Choosing Jules Plans that Fit Your Workflow# Privacy, Security, and Data Handling# Wrapping Up # Introduction If you have been writing code in the past couple of months, I am pretty sure you must have noticed a shift. AI is no longer something that …
A previous article provided a of conceptual frameworks – analytical structures for representing abstract concepts and organizing data. Data scientists use such frameworks in a wide variety of contexts, from use case ideation and validation of machine learning models to productization and operation of user-facing solutions. The framework type (e.g., hierarchy, matrix, process flow, relational …
The Power of Framework Dimensions: What Data Scientists Should Know Read More »
