On this weblog, I’ll information you thru the method of analyzing your chess video games performed on the Chess.com platform utilizing Python.

Chess has all the time been a ardour of mine, a wonderful sport launched to me by my father. My early years had been spent taking part in chess with household, which later transitioned to the digital boards of Chess.com. Not too long ago, there’s been a resurgence in chess’s recognition, fueled by well-known streamers and the tutorial efforts of Chess Grandmasters. This new wave of curiosity sparked a query in my thoughts throughout a sequence on chess openings: ‘What are the openings I steadily use, and the way profitable are they for me?’ Realizing I had no perception into my very own preferences or success charges, I made a decision to marry two of my biggest loves: Chess and Python.

Let’s get began on understanding the steps, learn to use the Chess.com API, and learn the way to take a look at your personal opening strikes in Chess!

P.S. This weblog assumes that Python and ideally Jupyter Pocket book (or every other IDE) is already put in in your laptop computer.

Chess.com API

First, you could set up the Chess.com library to make use of its API. You are able to do it utilizing the “pip” command in Terminal (or Command Immediate), in addition to inside Jupyter Pocket book utilizing “!” earlier than the syntax.

pip set up chess.com

You could find all of the directions and particulars at https://chesscom.readthedocs.io/en/newest/. It accommodates each technique and parameter that can be utilized.

You additionally want conventional pandas and numpy libraries, which you’ll be able to set up the identical manner as above.

Get the info

First off, let’s get all of the libraries we want arrange, after which make our first request to the API. We’ll use a way referred to as ‘get_player_games_by_month’ to see all of the video games performed in a selected 12 months and month. To get a really feel for the kind of information we get, we’ll take a look at a pattern sport. By utilizing Python’s built-in ‘pprint’ library, we are able to make the JSON response simpler to learn.

# Import essential libraries
from chessdotcom import get_player_game_archives…