As you may know, PostgreSQL provides you four index types: B-tree, Hash, GiST and GIN. They all named the way that if you don’t know ’em you’ll never get which one do you need. In MongoDB indexes are named in a more human-readable way. Here they are:
1. Single field index.
2. Compound index.
3. Multikey index.
4. Text index.
5. Hashed index.
6. 2dsphere, 2d, geoHaystack indexes.
Since I’m using Mongo for more than a year now, I worked with few of them and will elucidate you the most commonly used ones.
I just finished reading the book Python for Data Analysis. Here I want to share some points which were interesting for me, some examples and also my opinion on this book.
My main tool for every day is Ruby, but a few months ago I started using Python for playing with data. I heard a lot that Python is heavily used by Data Scientists and scientists in general, but I didn’t expect that even for not a python-experienced developer it can give so much power. So today I want to briefly introduce you Python’s library