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#ecology #PalmOil #SupplyChains #ClimateChange #DataScience

'The DSI and the IDI, with support from the 11th Hour Project, launched a new tool called PalmWatch on Feb. 22. Using rigorous data science and advanced, low-cost data visualization methods, PalmWatch traces palm oil supplies from the ground level, where the environmental and social impacts of palm oil cultivation occur, to the consumer brands that use the oil in their products.'

https://news.uchicago.edu/story/new-tool-created-uchicago-data-science-institute-sheds-light-palm-oil-production


One of the (many) good sides of teaching: you get plenty of time to delve into topics and develop your own material (and code).

I now want to share part of my materials as a #DataScience textbook online:
https://florian-huber.github.io/data_science_course/book/cover.html
(work in progress)

All materials and source code is on #github: https://github.com/florian-huber/data_science_course

And a pdf version can be found on #zenodo: https://zenodo.org/records/10074475

#opensource #Openscience


A new look for the group's website - #Arthropod Evolutionary-Functional #Genomics at http://rmwaterhouse.org πŸžπŸ§¬πŸ¦ŸπŸ§¬πŸ¦‹πŸ§¬πŸ
New Environmental #Bioinformatics Group
@SIB - #DataScience solutions to address environmental challenges https://sib.swiss/environmental-bioinformatics πŸ’»πŸ§¬πŸ“ŠπŸŒπŸ›œπŸŒ¦οΈπŸŒ„πŸ“‹πŸ”­


(1/2) Timetk for Python πŸš€πŸš€πŸš€

The timetk, one of the main R packages for time series analysis and forecasting ❀️, by Matt Dancho, is now available in Python 🐍. The package provides a variety of tools for working with time series data and analyzing it. The Python version leverages pandas for processing time series data and plotly for visualization.

#timeseries #python #rstats #forecasting #DataScience


Academic Data Science Alliance and @us_rse are thrilled to announce the release of

Hiring, Managing, and Retaining Data Scientists and Research Software Engineers in Academia:
A Career Guidebook from ADSA and the US-RSE

It's a reference on the motivation, means, and strategies for building and sustaining successful research programs and rewarding career paths for DS/RSEs.

https://doi.org/10.5281/zenodo.8264152

#DataScience #DataScientist #RSEng #RSE


(1/2) Python for Data Science is a new book by Arthur Turrell that focuses on core data science applications with Python πŸš€. The book is inspired by the R for Data Science book by Hadley Wickham and Garrett Grolemund and follows a similar structure. The book covers topics such as:
βœ… Data wrangling and transformation
βœ… Data visualization
βœ… Working with spreadsheets, databases, web scraping and APIs
βœ… Programming topics such as functions and iteration

#python #DataScience #dataviz #data


PLEASE BOOST for visibility!

The University of Colorado Laboratory for Atmospheric and Space Physics (LASP) is hiring software engineers for science data processing on the Data Systems team. We build satellite borne instruments for studying astrophysics, planetary science, earth science, atmospheric science, and many more disciplines. Data Systems typically does the ground processing of the instrument data from binary packets through to research quality science data products (think netCDF, HDF5, CDF, FITS files). Mostly we use Python but we have some Java systems and C experience is always a plus for making Python faster.

https://jobs.colorado.edu/jobs/JobDetail/Data-Systems-Software-Engineers-II-IV/50810

Lab website:
https://lasp.colorado.edu/

#fedihire #jobsearch #jobs #hiring #planetaryscience #astrophysics #astronomy #physics #python #datascience

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