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 Data Wrangling with Jupyter Notebooks
Upkar Lidder http://upkarlidder.com/talks/
http://bit.ly/01-22-2020-ibm
IBM Developer
https://slides.com/upkar/jupyter
> ulidder@us.ibm.com > @lidderupk
http://bit.ly/jupyter-pandas-git
WIFI - HD_Event
Password - 6j1n5q
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.
http://bit.ly/01-22-2020-ibm
@lidderupk
IBM Developer
Data Science Lifecycle
Workshop - Goals
@lidderupk
IBM Developer
Get acquainted with Pandas and Jupyter Notebooks on the cloud and analyze a movies dataset!
Steps
@lidderupk
IBM Developer
- Sign up / Log into IBM Cloud - http://bit.ly/01-22-2020-ibm
- Create a Watson Studio Service
- Create a new project
- Import the sample notebook to your project
- RUN the cells and explore data!
Step 1 - sign up/ log into IBM Cloud
@lidderupk
IBM Developer
http://bit.ly/01-22-2020-ibm
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 new project and pick empty template
@lidderupk
IBM Developer
Step 6a - name your project and create storage service
@lidderupk
IBM Developer
Step 6b - add storage opens a new page
@lidderupk
IBM Developer
Step 6c - you will be taken back to the first page after storage
@lidderupk
IBM Developer
Step 7 - add notebook feature to your project
@lidderupk
IBM Developer
Step 8 - import notebook, get link from github
https://raw.githubusercontent.com/lidderupk/lidderupk-ibmdevelopersf-jupyternotebooks/master/asset/spectra-pandas.ipynb
@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 for the workshop
IBM Cloud account - http://bit.ly/01-22-2020-ibm
Jupyter Notebook - https://github.com/lidderupk/lidderupk-ibmdevelopersf-jupyternotebooks/blob/master/asset/spectra-pandas.ipynb
Datasets
Casts - https://ibm.box.com/shared/static/nwvh08c06wtk48rsunk05qi9cruzkx4l.csv
Release Dates - https://ibm.box.com/shared/static/bm5kazwww0deze2a9r05l3mcqz5fgyvt.csv
Titles - https://ibm.box.com/shared/static/bvzl6da3t5vdav9xev4ype6sh78jhq7b.csv
Film Locations - https://ibm.box.com/shared/static/1kqel8vcya6r9wgxj4bvcsblp5xmyqsj.csv
Workshop Github - https://github.com/lidderupk/lidderupk-ibmdevelopersf-jupyternotebooks
@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
IBM Developer
@lidderupk
Thank you
Let's chat !
@lidderupk
IBM Developer
Upkar Lidder, IBM
@lidderupk
http://upkarlidder.com/talks/
ulidder@us.ibm.com
Jupyter Notebooks and Pandas
By Upkar Lidder
