Tag: Tutorials

NumPy Tutorial: Data Analysis with Python

Don’t miss our FREE NumPy cheat sheet at the bottom of this post NumPy is a commonly used Python data analysis package. By using NumPy, you can speed up your workflow, and interface with other packages in the Python ecosystem, like scikit-learn, that use NumPy under the hood. NumPy was originally developed in the mid […]

28 Jupyter Notebook Tips, Tricks, and Shortcuts

Jupyter Notebook is a powerful tool for data analysis. Here are 28 tips, tricks, and shortcuts to turn you into a Jupyter notebooks power user!

Working with SQLite Databases using Python and Pandas

In this post, you’ll learn to query, update, and create SQLite databases in Python. And learn how to use the pandas package to speed up your workflow.

Tutorial: Working with Streaming Data and the Twitter API in Python

Learn how to work with streaming data for data science in Python by using Twitter’s API in this intermediate Python tutorial.

How I Built a Python Bot to Help Me Find an Apartment in San Francisco

Learn how to build and deploy an automated bot to identify the best rental properties using Craigslist, Slack, and Python.

Matplotlib tutorial: Plotting tweets mentioning Trump, Clinton, and Sanders

Analyzing Tweets with Pandas and Matplotlib Python has a variety of visualization libraries, including seaborn, networkx, and vispy. Most Python visualization libraries are based wholly or partially on matplotlib, which often makes it the first resort for making simple plots, and the last resort for making plots too complex to create in other libraries. In […]

Tutorial: Working with Large Data Sets using Pandas and JSON in Python

In this Python programming and data science tutorial, learn to work with with large JSON files in Python using the Pandas library.

DigitalOcean and Docker for Data Science

Creating a cloud-based data science environment for faster analysis There are times when working on data science problems with your local machine just doesn’t cut it anymore. Maybe your computer is old, and can’t work with larger datasets. Or maybe you want to be able to access your work from anywhere, and collaborate with others. […]

Tutorial: Running a Dockerized Jupyter Server for Data Science

Learn to set up a Docker data science environment using Docker containers and the popular Jupyter Notebook in this free tutorial.

Tutorial: Comparing 7 Tools For Data Visualization in Python

Learn how seven Python data visualization tools can be used together to perform exploratory data analysis and aid in data viz tasks.

Tutorial: Installing and Integrating PySpark with Jupyter Notebook

Here’s how to install PySpark on your computer and get started working with large data sets using Python and PySpark in a Jupyter Notebook.

Tutorial: Learn Python Programming and Machine Learning

In this tutorial, we’ll guide you through the basic principles of machine learning, and how to get started with machine learning with Python.

Tutorial: An Introduction to Apache Spark

Learn about Apache Spark, a powerful tool for data analysis on large datasets that’s faster than Hadoop.

Tutorial: Data Cleaning MoMA’s Art Collection with Python

A step-by-step tutorial on data cleaning (or data munging, a core data science skill) a dataset from the MoMA with Python, using the Pandas module.

Tutorial: K Nearest Neighbors in Python

Learn how to use the K-Nearest-Neighbors (KNN) technique and scikit-learn to group NBA basketball players according to their statistics.