Upkar Lidder
Upkar Lidder is a Full Stack Developer and Data Wrangler with a decade of development experience in a variety of roles. He can be seen speaking at various conferences and participating in local tech groups and meetups.
Introduction to Pandas
Upkar Lidder http://upkarlidder.com/talks/
IBM Developer
> ulidder@us.ibm.com > @lidderupk
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
Workshop - Goals
@lidderupk
IBM Developer
Get started with Pandas and Jupyter Notebooks on the cloud and analyze/explore a dataset!
Steps
@lidderupk
IBM Developer
- Sign up / Log into IBM Cloud - https://ibm.biz/BdqZEJ
- Create a Watson Studio Service
- Import our project
- 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
Pandas Series
By Upkar Lidder
