Python Articles
Articles are more in-depth explanations about concepts covered in Codecademy courses. Here you'll learn more about workflows that developers use every day, and take your coding skills to the next level.- By Limor "Ladyada" Fried, Founder and CEO of Adafruit Industries
All the (Internet of) Things
- Python
- Learn about a popular Python built-in function called zip().
Combining Lists: The Zip Function
- Python
- A hands-on tutorial building a stack implementation in Python.
Create a Stack in Python
- Computer Science,
- Python
- Learn how to use various Python libraries to create, mask, and display a word cloud with contents from a text file.
Creating a Word Cloud With Python
- Data Visualization,
- Python
- Learn how to work around problems with visualizing messy and missing data.
Data Visualizations for Messy Data
- Data Science,
- Data Visualization,
- Python
- Learn how to deploy your own Flask application with Heroku.
Deploying a Flask App
- Developer Tools,
- Python,
- Web Development
- Learn how to deploy a program in Python using Flask!
Deploying a Simple Python Script With Flask
- Full-Stack Engineer,
- Python,
- Web Development
- Learn about recommended EDA steps before fitting a classification model.
EDA Prior to Fitting a Classification Model
- Data Analytics,
- Data Science,
- Python
- Learn to explore a dataset by visualizing the data.
Exploratory Data Analysis: Data Visualization
- Data Analyst,
- Data Visualization,
- Python
- Learn how to analyze your Facebook messenger chat data to discover insights about your relationships with your friends.
Facebook Messenger Analysis
- Data Science,
- Python
- Learn about feature importance and how to calculate it.
Feature Importance
- Data Science,
- Machine Learning,
- Python
- Learn about the different filter methods for evaluating and selecting features.
Filter Methods
- Data Scientist,
- Data Visualization,
- Python
- An intro to functional programming in Python
Functional Programming in Python
- Code Foundations,
- Computer Science,
- Python
- Dig into Amundsen with by bootstrapping a default version of Amundsen with dummy data.
Get Started with Amundsen
- Python
- Tips + Tricks for Jupyter Notebook.
Getting More out of Jupyter Notebook
- Data Science,
- Python
- A walkthrough of Jupyter Notebook's most useful features.
Getting Started with Jupyter
- Data Science,
- Data Visualization,
- Python
- Learn how to install Jupyter Notebook with Conda and pip.
How To Install Jupyter Notebook on Mac and Windows
- Data Science,
- Data Visualization,
- Python
- This article gives detailed instructions on how to set up a deep learning environment.
How to set up a deep learning environment
- Machine Learning,
- Python
- A guide on how to use GraphQL with Django.
How To Use GraphQL With Django
- Computer Science,
- Python,
- Web Development
- Learn about Jupyter Notebooks and how you can use them to run your code. (Using Python 3)
How To Use Jupyter Notebooks
- Developer Tools,
- Python,
- Web Development
- Install PySpark on your computer so you can analyze big data off-platform
Install Pyspark Off-Platform
- Data Engineering,
- Data Science,
- Python
- In this article, you will learn how to install a virtual environment then install Django in the virtual environment all on your own computer!
Installing Django
- Python,
- Web Development
- This article will teach you how to install IDLE on Chromebooks so you can do Python projects on your Chromebook.
Installing IDLE on a Chromebook
- Developer Tools,
- Python
- This article will teach you how to run Jupyter Notebook on Chromebooks so you can do off-platform Python projects on your Chromebook.
Installing Jupyter Notebook on a Chromebook
- Data Science,
- Developer Tools,
- Python
- Learn how to install Python packages and download Python 3 with Anaconda and Miniconda on Mac and Windows.
Installing Python 3 and Python Packages
- Developer Tools,
- Python
- What is Jupyter Notebook?
Introducing Jupyter Notebook
- Data Science,
- Data Visualization,
- Python
- pandas and NumPy are very useful libraries in Python. Let's learn how to use them!
Introduction to Pandas and NumPy
- Data Analyst,
- Data Science,
- Data Scientist,
- Python
- Learn how to define a Python function in one line!
Lambda Functions
- Data Science,
- Python
- Learn about how to create new lists in one line of Python!
List Comprehensions
- Python
- Learn when to use a log transformation of the dependent variable of your linear regression and how to interpret the resulting regression equation.
Log Transformations (And More)
- Data Science,
- Data Visualization,
- Python
- Follow this quick guide to setting up Mu locally.
Mu Editor
- Developer Tools,
- Python
- This article will teach you how to run Python code on Chromebooks so you can do off-platform Python projects on your Chromebook.
Programming in Python on a Chromebook
- Data Science,
- Developer Tools,
- Python
- Programming reference for Python
Python Glossary
- Python
- Guide
Python Syntax Guide
- Python
- Open-source ML library for Python. Built on NumPy, SciPy, and Matplotlib.
Scikit-Learn Cheatsheet
- Data Science,
- Machine Learning,
- Python
- Learn how to work with color in Seaborn and choose appropriate color palettes for your datasets.
Seaborn Styling, Part 2: Color
- Python,
- Web Design
- A hands-on tutorial in web scraping featuring two popular libraries, Beautiful Soup and Selenium.
Web Scrape with Selenium and Beautiful Soup
- Data Science,
- HTML & CSS,
- Python
- Get an overview of what tuples are in Swift and see their application in iterating through dictionaries.
What are Tuples?
- Computer Science,
- JavaScript,
- Python
- What is Python, and what can it do?
What is Python?
- Python
- Open-source ML library for Python. Built on NumPy, SciPy, and Matplotlib.
What is Scikit-Learn?
- Developer Tools,
- Machine Learning,
- Python
- Learn about Apache Spark and its application for big data analysis
What is Spark?
- Data Engineering,
- Data Science,
- Python