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Items tagged with: DataScience


πŸŒπŸ“Š Join Our Team! Meise Botanic Garden is looking for Data Scientists in Biodiversity Informatics. Collaborate on global projects, digital management & work in a flexible, hybrid environment. Apply by Nov 14! πŸŒΏπŸ’» #DataScience #ICT #Hiring #Biodiversity

vlaanderen.be/werken-voor-vlaa…


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:
florian-huber.github.io/data_s…
(work in progress)

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

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

#opensource #Openscience


A new look for the group's website - #Arthropod Evolutionary-Functional #Genomics at rmwaterhouse.org πŸžπŸ§¬πŸ¦ŸπŸ§¬πŸ¦‹πŸ§¬πŸ
New Environmental #Bioinformatics Group
@SIB - #DataScience solutions to address environmental challenges sib.swiss/environmental-bioinf… 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.

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

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