dplyr-style piping operations for pandas dataframes - kieferk/dfply

One stop shop for time series analysis in Python

In this step-by-step tutorial, you'll learn how Python's filter() works and how to use it effectively in your programs. You'll also learn how to use list comprehension and generator expressions to replace filter() and make your code more Pythonic.

Pandas is a wonderful data manipulation library in python. Working in the field of Data science and Machine learning, I find myself using Pandas pretty much everyday. It’s an invaluable tool for data…

Rapid fuzzy string matching in Python using various string metrics - maxbachmann/RapidFuzz

Fuzzy String Matching in Python. Contribute to seatgeek/fuzzywuzzy development by creating an account on GitHub.

How to iterate over a pandas DataFrame is a common question, but understanding how to do it and when to avoid it are both important.

In this post, I'll exemplify some of the most common Pandas reshaping functions and will depict their work with diagrams ...

In this step-by-step Python tutorial, you'll learn how to take your command line Python scripts to the next level by adding a convenient command line interface that you can write with argparse.

Rich is a Python library for rich text and beautiful formatting in the terminal. - willmcgugan/rich

In this tutorial, you'll learn about sentiment analysis and how it works in Python. You'll then build your own sentiment analysis classifier with spaCy that can predict whether a movie review is positive or negative.

Learn how to set up a basic Application Programming Interface (API) to make your data more accessible to users. This lesson also discusses principles of API design and the benefits of APIs for d...

Get the gender from first name.

I often need to download videos from Youtube in mp3 format. There are many websites where you can co...

A simple explanation of how to perform a two-way ANOVA in Python.

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more. - ml-tooling/opyrator

Use crontab and the task scheduler to automate your scripts and save time

No one cares if you can reverse a linked list — they want a one-click way to use your software on their machine. Docker makes that…

In this tutorial, you'll learn how to work adeptly with the Pandas GroupBy facility while mastering ways to manipulate, transform, and summarize data. You'll work with real-world datasets and chain GroupBy methods together to get data in an output that suits your purpose.

Minimal, super readable string pattern matching for python. - tfeldmann/simplematch

Getting good Python practice can help solidify your coding skills. Here are some of the best resources for practicing Python:

Some of the most useful Pandas tricks

Pandas groupby and aggregation provide powerful capabilities for summarizing data. This article will discuss basic functionality as well as complex aggregation functions.

In this tutorial, you'll walk through the main steps of the web scraping process. You'll learn how to write a script that uses Python's requests library to scrape data from a website. You'll also use Beautiful Soup to extract the specific pieces of information that you're interested in.

Python API for Intelligent Visual Data Discovery. Contribute to lux-org/lux development by creating an account on GitHub.