Python Pandas Certification Courses
I am excited to announce Python Pandas Certification Courses — a series of courses to help you become an expert at using the pandas library to analyze data, each with a challenging certification exam given at the end.
The main goal of the Python Pandas Certification series of courses is to provide you with a path to gain mastery of the pandas library so that you can use it confidently in a professional environment.
First Course FREE — Begins March 29!
The first course in...
The Remarkable Similarity of Covid-19 Infection Waves throughout the World
I have been modeling covid-19 cases and deaths in all areas of the world for the past six months. I built the coronavirus forecasting dashboard which makes predictions for covid cases/deaths for all countries and US states. In this post, I will explore the remarkable similarity of covid infection waves across many areas of the world.
Similarity of Covid Waves by Area
Understanding the shape and...
More than 99.9% of the Pfizer Vaccine Placebo Group did not get a severe case of covid
The Pfizer vaccine trial has 43,000 participants. Exact breakdown between treatment and placebo groups is not given, but they do provide the number of covid cases in each group. Currently, there are 162 covid cases in the placebo group.
Assuming a 50/50 split, 99.25% of the placebo group did not get covid.
Additionally, only 9 in the placebo group had a "severe case" and no one died. That is 99.96% in the placebo group did not have a severe case.
Caveats
We need to know the overall...
Instantly Beautify Matplotlib Plots by Viewing all Available Styles
In this post, you'll learn about the different available matplotlib styles that can instantly change the appearance of the plot. Let's begin by making a simple line plot using the default style. This simple style is often the first (and sometimes only) style that many people encounter with matplotlib not realizing how easy it is to choose others.
import matplotlib.pyplot as plt import numpy as np x = np.arange(-2, 8, .1) y = .1 * x ** 3 - x ** 2 + 3 * x + 2 fig, ax...Automate Publishing of Jupyter Notebooks as Medium Blog Posts with jupyter_to_medium
I am very excited to announce the official release of jupyter_to_medium, a Python package that extends Jupyter Notebooks, allowing you to automate the process of publishing them as Medium blog posts.
Motivation
I've published dozens of blog posts on Medium myself with all of them beginning as Jupyter Notebooks. Manually converting them to Medium posts was a fairly lengthy, painstaking process. One particularly painful process was inserting tables, which Medium does not support, into...
Official Release of bar_chart_race - A Python Package for Creating Animated Bar Chart Races
I'm excited to announce the official release of bar_chart_race, a python package for creating bar chart races. In this post, I'll cover many of the major available options. Navigate to the official documentation for a full breakdown of all of the options.
Motivation
Bar chart races have become very popular over the last year and no python package existed to create them. I also built some for my coronavirus dashboard.
Installation
Install with:
pip install...Create a Bar Chart Race Animation in Python with Matplotlib
In this tutorial, you'll learn how to create a bar chart race animation such as the one below using the matplotlib data visualization library in python.
bar_chart_race python package¶
Along with this tutorial is the release of the python package bar_chart_race that automates the process of making these animations. This post explains the procedure from scratch.
What is a bar chart race?¶
A bar chart race is an animated sequence of bars that show data values at...
Create a Tesla Cybertruck that Drives with Matplotlib
In this tutorial, you will learn how to create the new Tesla Cybertruck using matplotlib. I was inspired by the image below which was originally created by Lynn Fisher (without matplotlib).
Before going into detail, let’s jump to the results. Here is the completed recreation of the Tesla Cybertruck that drives off the screen.
Tutorial
A tutorial now follows containing all the steps that creates a Tesla Cybertruck that drives. It covers the following topics:
- Figure...
Minimally Sufficient Pandas Cheat Sheet
This article summarizes the very detailed guide presented in Minimally Sufficient Pandas.
Begin Mastering Data Science Now for Free!
Take my free Intro to Pandas course to begin your journey mastering data analysis with Python.
What is Minimally Sufficient Pandas?
- It is a small subset of the library that is sufficient to accomplish nearly everything that it has to offer.
- It allows you to focus on doing data analysis and not the syntax
How will Minimally Sufficient Pandas benefit...
Minimally Sufficient Pandas
In this article, I will offer an opinionated perspective on how to best use the Pandas library for data analysis. My objective is to argue that only a small subset of the library is sufficient to complete nearly all of the data analysis tasks that one will encounter. This minimally sufficient subset of the library will benefit both beginners and professionals using Pandas. Not everyone will agree with the suggestions I lay forward, but they are how...
Master Data Analysis with Python
Become an expert at using pandas to do data analysis with the comprehensive book Master Data Analysis with Python. 350+ exercises and projects available.
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