Datascope is a strategy consulting, development, and training firm that uses Python as its main programming language. Python is useful for prototyping, works well with tools like Jupyter notebooks, Scikit-Learn and seaborn, allows quick transition from prototypes to production, and is easy to learn and teach. Datascope builds its own tools in Python when needed and uses it to run their business operations like their website and for simulations. They contribute open source Python projects and write blog posts to share information.
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Datascope Runs on Python - Chipy February 2016
1. charming the snake for fun and pro?t
Datascope Runs on Python
Brian Lange for ChiPy, Feb. 2016
9. Consulting
- Jupyter notebooks can be nice for
keeping notes and iterating on plots
- Quick scripts play nice with unix
tools
- libraries like Scikit-Learn, seaborn
10. - prototype -> production is fast
- let the database do the heavy lifting
- develop our own tools when
necessary
ConsultingDevelopment
datascopeanalytics/traces
11. - Jupyter notebooks make great self-
guided assignments
- Class hacks
ConsultingDevelopmentTraining
12. - website/blog: running on Django
- treat ourselves like a client
ConsultingDevelopmentTrainingRun a business
datascopeanalytics/a-model
Bank account/revenue
simulation + forecasting
14. - fun blog posts
ConsultingDevelopmentTrainingRun a businessOther things we think
are fun or important
15. ConsultingDevelopmentTrainingRun a businessOther things we think
are fun or important
datascopeanalytics/scrubadub
Removing personally identi?able
information from text
- fun blog posts
- open source tools