That’s what Grant Sabatier wrote in his book, Financial Freedom. Grant starts the book off talking about how he had $2 i

DeepFaceLab is one of the most fun GitHub projects on Python on this list. DeepFaceLab is a tool that can create deep fakes images and videos, allowing you to do a lot of fun stuff such as change, de-age, and swap faces. To make things more compelling, you can even change their speech, although this requires proficiency in video editing software.

Cross-Site Scripting, aka XSS, is a vulnerability that can be extremely annoying and harmful for websites. By injecting malicious code from the client’s side, the attacker can cause damage to the website and the data beyond control. s0md3v’s XSStrike is essentially an XSS detection suite that is unique in itself.

The developer claims that more than 95% of deep fake videos on the internet have been created with this tool. You can find the set-up guide and a bunch of facesets to get yourself started on the project’s GitHub page.

The developer claims that instead of simply testing random payloads, his tool analyzes the websites and generates specially engineered payloads that work. Some of the various features of this tool include:

The first thing you need to do is build a money-making machine. If you have a traditional 9–5, and your employer does 401K contribution matching, then max out your 401K every year.

Airflow is an open-source workflow management tool from the Apache Software Foundation that is powered by Python. Airflow lets you perform a range of activities on your workflows, such as authoring, scheduling, and monitoring them. Workflows, when defined as code, become much easier to manage, test, and collaborate.

It offers scalability, dynamic pipeline generation, and extensibility. The simple user interface makes working with Airflow smooth, and its robust integration capabilities with other tools and services help in getting the most out of it by saving time. Airflow is actively being used by some of the big names in the industry, such as Adobe, Lyft, Slack, Expedia, and more.

The GitHub repo has the code and the models for OpenAI’s paper “Language Models are Unsupervised Multitask Learners”, while the page mentions the description and a few of caveats of GPT-2.

GitHub is clearly home to a wide majority of code online. Python being an amazing and versatile programming language that it is has been used by thousands of developers to build all sorts of fun and useful projects. In the following section, we will try to cover some of the best projects on GitHub that are built using Python.

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seemed perfect. I had made the greatest group of friends via improv class. The word “improv” should be enough to know that my new friends were mostly white. I was going out, doing dollar store quality bits, and laughing more than I ever had. But then the strangest thing started happening. I began having meltdowns regularly. I would cry all day, unable to move. I felt so deeply lonely, which was weird because my social calendar was packed more than it had ever been.

There’s this fascinating graph he shows near the middle of the book that breaks down how many years you can retire in if you make X per year, spend Y per year, and invest the difference.

Grant runs a YouTube channel called 3Brown1Blue, where he uses the manim library to create and control these animations as required, to teach higher Mathematics to its audience. Using manim, you can also create animated videos with precise control over the animations used for your charts and illustrations. If this seems like a fun idea to you, you should check out his channel to see the library in action.

But many experts know they need to capture the attention of the masses, and making hundreds of thousands per year isn’t exactly relatable to most people. So they focus more on penny pinching and investing and retirement accounts.

Manim stands for Mathematical Animation Engine. The idea behind this project is to make it easier for people to integrate fun and intuitive animations with graphs and charts in Math teaching material, breaking away from the stereotype that learning Math has to be boring.

GPT-2 is a huge transformer-based language model that is trained on an equally massive dataset, text from over 8 billion web pages, to be exact. The goal? Predict the next word/s when given a set or all of the previous words from a context.