The paradise of learning Python, stick to it for a year, it's worth it!

Hi, my name is Jack.

Before the main text, let me tell you an interesting story. An Indian brother translated all the content of my PythonPark project into English.

I thought that the content of each article was also translated, but a closer look shows that the title of all the content has been translated.

It seems that my Chinese tutorial is still read by a small number of foreigners.

Github is very good at this point. A good project will attract many people, and there will be many enthusiastic partners to help improve it.

The previous machine learning project was also translated by the readers.

Seeing the recognition and help of many small partners, I suddenly feel that it is worthwhile to do open source year after year!

https://github.com/Jack-Cherish/PythonPark

I went to see it specially, this Indian brother's Contributions, good guy, is a heavy user.

Below, go directly to today's text, and take stock of the most popular "treasure" projects recently.

MVT

I don't know, have you seen this news, it was also on the hot search list before.

As long as you receive a phishing link, whether you click it or not, your information can be stolen, and even the link microphone and camera can be controlled at will!

And it all stems from one piece of spyware: Pegasus .

This software is generally only aimed at specific people, because the attack cost is high.

For example, 13 heads of state , including French President Emmanuel Macron , Iraqi President and South African President , bore the brunt before.

Of course, Pegasus is not only for iOS, but Android phones are also at risk. It can monitor users' calls, messages, recordings, videos, location, and even know who you have met.

And MVT , in the context of the rampant Pegasus spyware, has just been open sourced, a mobile phone scanning, and forensics tool that can automatically detect potential dangers.

The scanning tool is written in Python, which can be simply understood as the open source "antivirus" software on the mobile phone.

Learn to be safe, you can take a useless mobile phone and give it a try.

project address:

https://github.com/mvt-project/mvt

YOLOX

This target detection algorithm is relatively popular and is based on the YOLO version of anchor free.

Directly above, from the data point of view, YOLOX is the current SOTA, it is really strong.

A small friend made a demo on the mobile phone, and it can be seen that the real-time performance and stability have reached a good balance.

project address:

https://github.com/Megvii-BaseDetection/YOLOX

If you want to see the principle of the algorithm, you can directly read Questyle's own explanation.

https://www.zhihu.com/question/473350307/answer/2021031747

Public APIs

This project has been famous for a long time, and it has always been very 144k+popular. The Star, has recently been on the list.

This project includes a very comprehensive, free API covering a variety of topics, business, animation, animals, weather, video, news, finance, books, games, and more.

For example, if you want to get a picture of a puppy.

By requesting https://dog.ceo/api/breeds/image/randomthis interface, you can get a random picture of a puppy.

There are kittens and puppies.

For example, some query interfaces for weather, express delivery, music, video, data, comics, and even some AI capability APIs are included.

With these interfaces, you can make some interesting and practical gadgets by yourself.

project address:

https://github.com/public-apis/public-apis

Talk AI

Recently, I have seen many friends interested in chatbots.

As a fan, I specially found a better chat robot project Parl AI .

Facebook is open source, and there are corresponding documents and tutorials, which are very comprehensive.

Friends who are interested in this aspect, it is recommended to "gnaw" on this project, and it will definitely gain something.

Project address: https://github.com/facebookresearch/ParlAI

That's all for today. I'm Jack who asked for " likes " online. See you in the next issue.

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Origin blog.csdn.net/c406495762/article/details/119323202