aster.cloud aster.cloud
  • /
  • Platforms
    • Public Cloud
    • On-Premise
    • Hybrid Cloud
    • Data
  • Architecture
    • Design
    • Solutions
    • Enterprise
  • Engineering
    • Automation
    • Software Engineering
    • Project Management
    • DevOps
  • Programming
  • Tools
  • About
  • /
  • Platforms
    • Public Cloud
    • On-Premise
    • Hybrid Cloud
    • Data
  • Architecture
    • Design
    • Solutions
    • Enterprise
  • Engineering
    • Automation
    • Software Engineering
    • Project Management
    • DevOps
  • Programming
  • Tools
  • About
aster.cloud aster.cloud
  • /
  • Platforms
    • Public Cloud
    • On-Premise
    • Hybrid Cloud
    • Data
  • Architecture
    • Design
    • Solutions
    • Enterprise
  • Engineering
    • Automation
    • Software Engineering
    • Project Management
    • DevOps
  • Programming
  • Tools
  • About
  • Data
  • Programming

PyCon 2019 | Pandas Is For Everyone

  • root
  • July 16, 2019
  • 2 minute read

PyCon 2019 | Pandas Is For Everyone


Partner with aster.cloud
for your next big idea.
Let us know here.


cyberpogo

Speaker: Daniel Chen

 

Data Science and Machine learning have been synonymous with languages like Python. Libraries like Numpy and Pandas have become the de facto standard when working with data. The DataFrame object provided by Pandas gives us the ability to work with heterogeneous unstructured data that is commonly used in “”real world”” data.

New learners are often drawn to Python and Pandas because of all the different and exciting types of models and insights the language can do and provide, but are awestruck when faced with the initial learning curve.

This tutorial aims to guide the learner from using spreadsheets to using the Pandas DataFrame. Not only does moving to a programming language allow the user to have a more reproducible workflow, but as datasets get larger, some cannot even be opened in a spreadsheet program. The goal is to have an absolute beginner proficient enough with Pandas that they can start working with data in Python.

We will cover how to load and view our data and introduce what Dr. Hadley Wickham has coined “”tidy data””. Tidy data is an important concept because the process of tidying data will fix a host of data problems that are needed to perform analytics. We then cover functions and applying methods to our data with a focus on data cleaning, and how we can use the concept of split-apply-combine (groupby) to summarize or reduce our data.

Finally, we cover the role of Pandas in analysis packages such as scikit learn. The tutorial will end with a fitted model.

Read More  ML Engineers: Partners For Scaling AI In Enterprises

The goal is to get people familiar with Python and Pandas so they can learn and explore many other parts of the Python ecosystem (e.g., scikit learn, dask, seaborn, etc).

 

Slides can be found at: https://speakerdeck.com/pycon2019 and https://github.com/PyCon/2019-slides


Our humans need coffee too! Your support is highly appreciated, thank you!

root

Related Topics
  • Data Science
  • Machine Learning
  • Pandas
  • PyCon
  • Python
You May Also Like
View Post
  • Automation
  • Computing
  • Data

IBM To Help Automate Cloud Data Protection With Acquisition Of Polar Security

  • May 25, 2023
View Post
  • Programming
  • Software Engineering
  • Technology

Build a Python App to Alert You When Asteroids Are Close to Earth

  • May 22, 2023
View Post
  • Programming

Illuminating Interactions: Visual State In Jetpack Compose

  • May 20, 2023
View Post
  • Data
  • Public Cloud

Cloud Data Loss Prevention’s Sensitive Data Intelligence Service Is Now Available In Security Command Center

  • May 18, 2023
View Post
  • Data
  • Platforms
  • Technology

Cloudflare’s R2 Is The Infrastructure Powering Leading AI Companies

  • May 16, 2023
View Post
  • Computing
  • Data
  • Programming
  • Software
  • Software Engineering

The Top 10 Data Interchange Or Data Exchange Format Used Today

  • May 11, 2023
View Post
  • Data
  • Public Cloud

Using Cloud Spanner To Handle High Throughput Writes

  • May 8, 2023
View Post
  • Architecture
  • Programming
  • Public Cloud

From Receipts To Riches: Save Money W/ Google Cloud & Supermarket Bills – Part 1

  • May 8, 2023

Stay Connected!
LATEST
  • 1
    Amazing Federated Multicloud Apps
    • June 2, 2023
  • 2
    What’s The Future Of DevOps? You Tell Us. Take The 2023 Accelerate State Of DevOps Survey
    • June 2, 2023
  • 3
    Resolving Deployment Issues With Ts-node And Azure Development Pipelines
    • June 1, 2023
  • 4
    What To Expect From Apple’s WWDC 2023
    • June 1, 2023
  • 5
    What Is Platform Engineering And Why Adopt It In Your Company?
    • June 1, 2023
  • 6
    Four Steps To Managing Your Cloud Logging Costs On A Budget
    • May 31, 2023
  • 7
    Red Hat Puts Podman Container Management On The Desktop
    • May 30, 2023
  • 8
    The Agile Mindset: A Path to Personal Fulfillment and Growth
    • May 30, 2023
  • 9
    G7 2023: The Real Threat To The World Order Is Hypocrisy.
    • May 27, 2023
  • 10
    Build Next-Generation, AI-Powered Applications On Microsoft Azure
    • May 26, 2023
about
Hello World!

We are aster.cloud. We’re created by programmers for programmers.

Our site aims to provide guides, programming tips, reviews, and interesting materials for tech people and those who want to learn in general.

We would like to hear from you.

If you have any feedback, enquiries, or sponsorship request, kindly reach out to us at:

[email protected]
Most Popular
  • 1
    Huawei OceanStor Pacific Scale-Out Storage Tops IO500 Rankings
    • May 26, 2023
  • 2
    MongoDB And Alibaba Cloud Extend Global Partnership
    • May 25, 2023
  • 3
    Tricentis Launches Quality Engineering Community ShiftSync
    • May 23, 2023
  • 4
    Oracle Cloud Infrastructure Adds To Growing List Of Government Approved Cloud Services
    • May 22, 2023
  • 5
    Huawei And Partners Announce Yucatan Wildlife Conservation Findings
    • May 18, 2023
  • /
  • Technology
  • Tools
  • About
  • Contact Us

Input your search keywords and press Enter.