Skip to content

Python for Data Part 2 || Data Mining with Advanced Pandas

Photo of Amy Tzu-Yu Chen
Hosted By
Amy Tzu-Yu C. and Sylvia T.
Python for Data Part 2 || Data Mining with Advanced Pandas

Details

RSVP ONLY IF YOU ABSOLUTELY CAN ATTEND. If you are tentative or unsure, please free up your spot for those on the waitlist. We will share out a link so you can join remotely if you cannot join in-person.

This is the second part of our three Hands-on Python for Data 3-part Series.

STRONGLY RECOMMENDED
As each part of our series builds on the materials covered in the previous meetups, we strongly recommend you to come to this event:

Python for Data Part 1 || Cleaning Data with Basic Pandas- May 9
https://www.meetup.com/Pyladies-LA/events/vqfsvqyzhbmb/

This course is targeted toward Python users with around 20+ hours of ACTIVE coding experience. While we will cover a basic introduction to Pandas and plotting in Python, you should feel comfortable reading and writing pure Python.

RECOMMENDED PRE-REQUISITES
Due to limited seats, we expect the attendees to understand the following to get the most out of the tutorials:

  • Differences between basic Python types (str, int, float, etc)
  • How dictionaries work (keying into dictionary values)
  • Basic list operations
  • Basic control flow (for loops)
  • Basic numpy operations (selecting rows and columns, math operations)
  • Basic data literacy (differences between continuous, discrete, and categorical data)
  • Basic visual literacy (how to read a bar graph and a scatter plot)
  • Must be comfortable running code in a Jupyter environment
  • Must be comfortable working in python 3.6+

As a point of reference, if the idea of independently looking through this scares you, the pace of the course may be too aggressive for you.

ABOUT THE COURSE:
This course is targeted toward Python users with around 20+ hours of ACTIVE coding experience. While we will cover a basic introduction to Pandas and plotting in Python, you should feel comfortable reading and writing pure Python.

BEFORE ARRIVING:
Install Anaconda 3.7 to your local machine (www.anaconda.com/download/)

6:30 - 6:45 Eat & get settled into the room
6:45 - 7:15 Do a coding warm up
7:15 - 7:20 Introductions
7:20 - 8:15 Part 2 lesson
8:15 - 8:20 Complete Exit Tickets & take a group photo
8:20 Closing remarks

ABOUT THE SPEAKER:
Douglas Strodtman is a professional data enthusiast and adult educator. He has just started a role as a Technical Instructor at Databricks, and previously worked at General Assembly and the University of Washington. His holistic view of the data landscape is that creativity and critical thinking are the most vital skills for deriving actionable business insights.
https://www.linkedin.com/in/dstrodtman/

OUR SPONSOR:
OpenDrives builds the fastest shared storage solutions for high-resolution media workflows from Hollywood to healthcare.
Learn About OpenDrives on YouTube https://www.youtube.com/channel/UCzHTU3-x8h4l6ehHNx8IH1g/videos

PARKING:
Please park in the parking lot (with map uploaded to event images).

CODE OF CONDUCT:
https://www.pyladies.com/CodeOfConduct/

Photo of PyLadies of Los Angeles group
PyLadies of Los Angeles
See more events