How to Use GitHub Deploy Keys Github deploy keys make it easy to deploy your app's code to a Linux server. In this article, you'll learn how to create, configure, and use them.
How to Plot with Python: 8 Popular Graphs Made with pandas, matplotlib, seaborn, and plotly.express In this tutorial, you'll learn how to make some of the most popular types of charts with four data visualization libraries: pandas, matplotlib, seaborn, and plotly.express.
Data Science How to Cluster Documents Using Word2Vec and K-means Learn how to cluster documents using Word2Vec. In this tutorial, you'll train a Word2Vec model, generate word embeddings, and use K-means to create groups of news articles.
Data Science Clean and Tokenize Text With Python The first step in a Machine Learning project is cleaning the data. In this article, you'll find 20 code snippets to clean and tokenize text data using Python.
Python How to Make a Twitter Bot With Python Bots are becoming increasingly common on Twitter. Learn what options you have to make one. Use Python and an AWS Lambda Function to develop your own Twitter bot for free.
How To Come Up With Interesting Data Science Projects Stop using the Titanic and MNIST datasets. Learn a simple approach to come up with interesting side projects.
Python 4 Ways To Improve Your Graphs Using Plotly Making high-quality data visualizations is a critical skill for Data Scientists. Learn how to get better at it using Plotly's python library.
Python Use Google Sheets, S3, and Python to Build a Website Quickly We will set up a Python script that reads data from Google Sheets, generates a static site using a predefined template, and deploys it to an S3 bucket.
Data Science Fast & Asynchronous In Python: Accelerate Your Requests Using asyncio Speedup your Python code by learning how to make concurrent requests to an API using asyncio and aiohttp.
Data Science Mind-reading Algorithms: An Introduction to Recommender Systems How do Netflix, Amazon, and Google recommend content to users? Understand the What, Why, and How of Recommenders through stories and examples.
