This is an overview of the most popular data science (machine learning, data mining, and artificial intelligence) tools for Python. Interest in these fields (artificial intelligence (AI), machine learning (ML), etc.) has increased over the past 5 years and python earned the first place as the most popular "data science" language. TensorFlow, PyTorch, Caffe, Pandas, Keras, Scikit-Learn, SciPy, NumPy and some other tools are presented in this article. This article will be useful for beginner data scientists and people who are just recently started working with machine learning, professionals are already familiar with this toolset.
Over the past ten years, I have been writing to my blog. I have started at the time when Angular, React and Vue.js didn't exist at all. In this article, I will show you the statistics I got, tell you what I learned and how I fucked up. I hope it's not the last anniversary, and in ten years I can write another blog post.
Due to a bug in .NET Connector for MySQL you might get JSON data in the wrong encoding. This article will show you how to fix this problem so you can read the data in the correct format.