# Python and Pandas : First Contact with Data

DevFeed: [Python and Pandas : First Contact with Data](<https://devfeed.tech/articles/python-and-pandas-first-contact-with-data-22172.md>)

Original publisher: [Read original article](<https://www.ardanlabs.com/blog/2020/11/python-pandas-first-contact-with-data.html>)

Published: 2020-11-02T00:00:00Z

Content type: tutorial

Language: en

Sources: [William Kennedy](<https://devfeed.tech/sources/william-kennedy.md>)

Topics: [pandas](<https://devfeed.tech/topics/pandas.md>), [Python](<https://devfeed.tech/topics/python.md>), [Data Quality](<https://devfeed.tech/topics/data-quality.md>), [Structured-data](<https://devfeed.tech/topics/structured-data.md>), [CSV](<https://devfeed.tech/topics/csv.md>), [Python 3.8](<https://devfeed.tech/topics/python-3-8.md>)

Tags: [ardan-labs](<https://devfeed.tech/tags/ardan-labs.md>), [blog](<https://devfeed.tech/tags/blog.md>), [blog-post](<https://devfeed.tech/tags/blog-post.md>), [data-quality](<https://devfeed.tech/tags/data-quality.md>), [format](<https://devfeed.tech/tags/format.md>), [go](<https://devfeed.tech/tags/go.md>), [go-programming](<https://devfeed.tech/tags/go-programming.md>), [golang](<https://devfeed.tech/tags/golang.md>), [pandas](<https://devfeed.tech/tags/pandas.md>), [programming](<https://devfeed.tech/tags/programming.md>), [python](<https://devfeed.tech/tags/python.md>), [python-3-8](<https://devfeed.tech/tags/python-3-8.md>), [schema](<https://devfeed.tech/tags/schema.md>)

## AI overview

This tutorial introduces working with data using Python 3.8 and pandas 1.1. It emphasizes that data quality is crucial and explains why understanding a dataset's schema, units, and representations is necessary before analyzing it.

## Source excerpt

Introduction Every single company I've worked at and talked to has the same problem without a single exception so far - poor data quality, especially tracking data. Either there's incomplete data, missing tracking data, duplicative tracking data. - DJ Patil I spend a lot of my time digging into data at various companies. Most of the time I'm surprised by what I see and so are the engineers and analysts that work at these companies. I've seen missing data, bad data, data nobody knows anything about, and many other oddities.