Join 📚 Kevin's Highlights

A batch of the best highlights from what Kevin's read, .

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How Indexes Make Your Queries Fast

Julia Evans

🌟 Introducing the top 5 Python testing tools that every developer should have in their toolkit 🌟 1️⃣ Pytest: A powerful and easy-to-use testing framework. Say goodbye to test classes and hello to simple test functions! 👋 2️⃣ Unittest: The classic. It's built-in, it's reliable, and it's been around for ages. A true Python staple. 🐍 3️⃣ Mock: Isolate and rule the world! 🌍 Replace parts of your system under testing with mock objects and focus on what really matters. 4️⃣ Tox: Test your code in various Python environments. Ensure compatibility and make your code versatile! 🌐 5️⃣ Hypothesis: Property-based testing made easy. Generate test cases automatically and put your code through its paces. 🏃

Sarah Floris, MS’ Post

Sarah Floris, MS

[![](https://data-flair.training/blogs/wp-content/uploads/sites/2/2016/05/Data-Read-Mechanism-in-HDFS.gif)](https://data-flair.training/blogs/wp-content/uploads/sites/2/2016/05/Data-Read-Mechanism-in-HDFS.gif)

Data Read Operation in HDFS – A Quick HDFS Guide

DataFlair Team

...catch up on these, and many more highlights