Image by Author   Contents# Introduction# What is Firebase Studio?# Setting Up Your Workspace// Step II: Creating a Workspace# Building Full Stack Applications// Developing Server-Side Logic with Cloud Functions// Testing and Preview# Deployment and Shipping Your App// Post-Launch: Monitoring and Rollbacks# Conclusion # Introduction  If you’ve spent any time building modern web and mobile applications, you know the truth: the real work often starts long after …

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ContentsShow code library(tibble) library(ggplot2) library(dplyr) library(tidyr) library(latex2exp) library(scales) library(knitr) Over the past few years working in marketing measurement, I’ve noticed that power analysis is one of the most poorly understood testing and measurement topics. Sometimes it’s misunderstood and sometimes it’s not applied whatsoever despite its foundational role in test design. This article and the series …

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Sponsored Content      So let me tell you about ChatLLM. I’ve been exploring this AI platform from Abacus.AI, and it’s honestly one of those tools that makes you wonder why you’ve been juggling five different AI subscriptions when you could just use one.   ContentsWhat Even Is ChatLLM?The Stuff It Actually DoesMultiple AI Models …

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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   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 …

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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) …

From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers Read More »

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 »