Introduction to Pandas

Upkar Lidder
http://upkarlidder.com/talks/

IBM Sign Up - https://ibm.biz/BdqZEJ

IBM Developer

https://slides.com/upkar/pandas-series

> ulidder@us.ibm.com
> @lidderupk

https://github.com/lidderupk/covid-19-cali

Prerequisites

@lidderupk
IBM Developer

1. Create IBM Cloud Account using THIS URL

3. If you already have an account, use the above URL to sign into your IBM Cloud account.

2. Check your email and activate your account. Once activated, log back into your IBM Cloud account using the link above.

https://ibm.biz/BdqZEJ

@lidderupk
IBM Developer

Data Science Lifecycle

@lidderupk
IBM Developer

https://developer.ibm.com/callforcode/

Workshop - Goals 

@lidderupk
IBM Developer
Get started with Pandas and Jupyter Notebooks on the cloud and analyze/explore a dataset!

Steps

@lidderupk
IBM Developer
  1. Sign up / Log into IBM Cloud -  https://ibm.biz/BdqZEJ
  2. Create a Watson Studio Service
  3. Import our project
  4. RUN the cells and explore data!

Step 1 - sign up/ log into IBM Cloud 

@lidderupk
IBM Developer

https://ibm.biz/BdqZEJ

Step 2 - locate Watson Studio in the catalog 

@lidderupk
IBM Developer

Step 3 - create new watson studio service 

@lidderupk
IBM Developer
@lidderupk
IBM Developer

Step 4 - launch Watson Studio 

@lidderupk
IBM Developer

Step 5 - create a new project 

@lidderupk
IBM Developer

Step 5 - create new project and pick sample or file 

@lidderupk
IBM Developer

Step 6a - name your project and upload zip file 

@lidderupk
IBM Developer

Step 6b - if you don't have a storage, you have to create one now 

@lidderupk
IBM Developer

Step 6b - if you don't have a storage, you have to create one now 

@lidderupk
IBM Developer

Step 6b - you will be taken back to the first page after storage 

@lidderupk
IBM Developer

Step 7 - open assets 

@lidderupk
IBM Developer

Step 9 - Let's look at data now!

https://raw.githubusercontent.com/lidderupk/lidderupk-ibmdevelopersf-jupyternotebooks/master/asset/spectra-pandas.ipynb

@lidderupk
IBM Developer

Some links to get data

US Government Open Data - https://www.data.gov/

 

San Francisco Open Data - https://datasf.org/opendata/

 

IBM Data Asset eXchange - https://developer.ibm.com/exchanges/data/

 

Kaggle Datasets - https://www.kaggle.com/datasets

 

Google Datasets - https://cloud.google.com/public-datasets/

 

Curated on Github - https://github.com/awesomedata/awesome-public-datasets

Ryan Anderson Blog - https://dreamtolearn.com/ryan/1001_datasets

IBM Developer
@lidderupk
IBM Developer
@lidderupk

Thank you

 

Let's chat !

@lidderupk
IBM Developer

Upkar Lidder, IBM

 

@lidderupk

http://upkarlidder.com/talks/

ulidder@us.ibm.com

IBM Developer
@lidderupk
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