Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Chess.com
Lichess
Aimchess
Chessvia.ai
Chess Tempo Database
Chessmaster
Noctie.ai
Chessvision.ai
PandasPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Based on our record, Chess.com seems to be a lot more popular than Pandas. While we know about 11426 links to Chess.com, we've tracked only 219 mentions of Pandas. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Libraries for data science and deep learning that are always changing. - Source: dev.to / about 1 month ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 2 months ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 2 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
A simplified version of chess.com or lichess.org, that works like this:. - Source: dev.to / 12 months ago
The advent of the internet led to the creation of online communities, which has evolved into various forms such as gaming communities (like EASports Online), football communities (like Footyaddicts), chess communities (like chess.com), and programming communities (like Laravel and Rails community, Google Developer groups, forloop Africa). - Source: dev.to / over 1 year ago
Clearly chess.com was using something like "starts with" to process the re-upload. Basically don't re-upload if it starts with https://chess.com, but filter out if it starts with https://chess.com/registration-invite Typically same origin policies are relaxed for things like images by default [0]. So they came up with a trampoline, they created a chess.com.theirDomain.tld to get past the re-upload filter, which in... - Source: Hacker News / over 1 year ago
I haven't been staying current, chess.com commentators were analyzing games in earshot of players? Source: over 1 year ago
Do people know about this tool, its really making me wonder if cheating with these bots is super prevalent on chess.com and lichess. Source: over 1 year ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Lichess - The complete chess experience, play and compete in tournaments with friends others around the world.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Aimchess - Learn chess your way with AI tools and data driven approach.
OpenCV - OpenCV is the world's biggest computer vision library
Chessvia.ai - Chessvia AI offers a revolutionary chess experience with Chessy, your personal AI chess coach that speaks, listens, and adapts to your style.
