This Python Trick Makes Your Code 14,000x Faster

This week, we’re sharing access to a brand new and free Python course. We’re also going to cover how to create a website connectivity checker app, how to use Python split, and how one forgotten Python trick can make your code 14,000 times faster.

This Week’s Resources

• Brand New & Free Python Data Course

• Python Walkthrough: Create A Website Connectivity Checker

• The AI Engineer Path (Scrimba)

• New Tech Job Opportunities for 2025

• Forget Gold, Eggs Were The Best Investment of the Past 5 Years (MSN)

• How to Use Python Split: Full Guide

• Everything You Need To Know About HTML Image Types

• One Forgotten Python Trick To Make Code 14,000 Faster (YouTube)

• Are You Interview Ready? Test Yourself With This Free AI Interviewer

• Google Is Bringing Linux to Android, Here’s Why That Matters (MSN)

• How to Master HTML Doctype

New Python Course: Build a Python Data Pipeline

We’re super excited to share our brand new, and free, Python course. Ready to get hands-on to master real-world Python skills by building a complete automated data pipeline?

With 4 easy to digest modules and quizzes for each module, you'll learn to web scrape real estate listings, clean and analyze data with Pandas, build an interactive dashboard with Streamlit, and implement automation techniques to track and analyze market trends.

Plus, once you’ve completed the course, you get a completion certificate to show off your newfound skills. All you need to access this course is to be a registered user.

New Python Project: Site Connectivity Checker

We're excited to share this new Python project with you! This time, we're building a Website Connectivity Checker app. This is a highly practical tool that lets you quickly check if a website is online or down, plus, it’s a great way to explore HTTP request fundamentals while designing a user-friendly GUI with PyQt5.

By the end of this tutorial, you'll have a fully functional site checker that provides instant feedback on website availability.

Follow along as we break it down step by step, and we’ll provide all the code so you can customize and expand the tool however you like. Let’s get started!

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Build apps powered by generative AI with The AI Engineer Path, plus earn a certificate upon completion.

Master The Python Split Method

Want to break down and manipulate strings like a pro? We’ve just released a complete guide to the Python split method, covering everything from basic usage to advanced techniques like handling multiple delimiters, controlling split limits, and parsing structured text efficiently.

Specifically, this guide covers:

• How to split strings using different delimiters

• Controlling the number of splits with maxsplit

• Handling whitespace, special characters, and multiple separators

• Using splitlines() for multiline strings

• Practical use cases for data processing, CSV parsing, and user input handling

text = "Python is amazing"
words = text.split()
print(words)  # ['Python', 'is', 'amazing']

The Python split() method is a must-know for efficient string manipulation, data processing, and text parsing in Python. Read the full guide to start applying it in your projects today!

Forgotten Python Trick to Make Code 14,000X Faster

No, this isn’t some obscure Python trick or a niche optimization hack. This is about a game-changing technique that can make your Python code thousands of times faster —and it’s built right into the standard library.

In this video, we break down LRU Caching, a powerful tool from functools that eliminates redundant calculations and supercharges performance. Using the Fibonacci sequence, we show how a simple decorator can transform inefficient recursion into blazing-fast execution.

The Code Editor

Did you know about the free Python, HTML, and JavaScript code editor? Just log into your free account at Hackr.io to use them.

Google is Bringing Linux to Android. Here’s Why That Matters

Google’s decision to roll out Linux on Android is one of the most significant updates the platform has seen in years. While Android has always had Linux at its core, this new development goes beyond the kernel, giving users more flexibility, deeper system control, and access to a more desktop-like Linux experience on mobile.

For tech enthusiasts who value customization and open-source software, this move solidifies Android as the clearer choice over iPhone. Is it enough to sway Apple’s loyal iPhone users?