Starts Monday! Introduction to Data Science Live Online Course Enroll Now

Course Report Guest Post: Beginner's Guide to Using Pandas for Python

By Metis  • November 07, 2019

Last week, Metis Sr. Data Scientist Joe Eddy was interviewed by Liz Eggleston over at Course Report about Pandas in Python: A Guide for Beginners. In the write-up, Joe talks about the popular Python library, which he describes as follows: 

"Pandas is a catch-all Python library; a resource for doing data analysis and manipulation; any kind of data processing, analyzing, filtering, and aggregating. Pandas can be used for just about any process where you're trying to gain insight from data using code." 

Within the rest of the post, he explains how Pandas was developed, how it's used by data scientists and within companies worldwide, and how beginners can start learning some basics on their own. Read it on Course Report, and check out a useful explanatory infographic below, also included in the article.  

_____

Want to read more about Python, specifically? Metis Sr. Data Scientist Kevin Birnbaum recently wrote about his experiences using the language and growing as a data scientist because of it. Read the post here.


Similar Posts

data science
Made at Metis: Video Search Engine Using Salsa Dance Videos & Predicting Strategy in StarCraft

By Metis • January 13, 2020

This post features two projects from recent graduates of our data science bootcamp. Take a look at what's possible to create in just 12 weeks.

data science
Made at Metis: Clustering NBA Playstyles Using Machine Learning; Automatic Pricing on Etsy

By Emily Wilson • November 04, 2019

This post features two final projects from recent graduates of our data science bootcamp. Take a look at what's possible to create in just 12 weeks, including these projects on Clustering NBA Playstyles Using Machine Learning and Automatic Pricing for Etsy Sellers.

data science
Sr. Data Scientist Roundup: A Guide to Object Detection, ODSC West Talks & Workshops, & More

By Metis • September 30, 2019

When our Sr. Data Scientists aren't teaching the intensive, 12-week bootcamps or corporate training courses, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.