你可能會喜歡
Learn Python for bioinformatics! Spaces still available on my course hosted by @UofGlasgow starting 24th March gla.ac.uk/colleges/mvls/…
Introduction to Python for Biologists: places available now at the end of April, hosted by the Earlham Institute: earlham.ac.uk/events/introdu… “I loved this course. It started from very basic concepts ... I feel like I can apply knowledge gained during the course to my own data.”
Still a few places available on my data exploration with Python course: earlham.ac.uk/events/data-ex… a deep dive into processing/visualizing complex biological datasets with the seaborn/pandas/matplotlib stack
It's not for a while yet, but I'm greatly looking forward to being back at @edgenome for an advanced Python course in December - signups open now genomics.ed.ac.uk/services/advan…
A reminder of our 'Introduction to #Python for #Biologists' course next month, 18-22 July (in-person). A great opportunity to learn python from our expert coders with first-class course content developed by @pythonforbiolog - More info: genomics.ed.ac.uk/services/intro… @GenomicsEdi
📢CHANGE IN DEADLINE! ⌛️Apply by 11 April 2022: bit.ly/3fwTZYZ 👨💻 Biological Data Exploration using Python 🗓️ 25 April-6 May 🖥️ For researchers interested in using Python for analysis & visualization of biological datasets. Some experience of Python required.
TRAINING: Registration is open for our 2022 Advanced #Python course with @pythonforbiolog. This advanced #workshop is ideal for researchers and technicians with a a basic knowledge of Python, wanting to develop bigger or more complicated programs ➡ okt.to/TvSoWs
TRAINING: Registration is open for a new training workshop with @pythonforbiolog, looking at #data exploration and #visualisation from #python. We will look at exploring large datasets, finding meaningful patterns, and how to clearly present results. ➡ okt.to/wYPMiR
Python's random.choice() works fine when you want equal probabilities; for unequal ones use numpy
👨💻 Advanced Python for Biologists 🗓️ Mon 21 Feb-Fri 4 Mar 🖥️ For researchers in the health sciences who use Python and want to write complex programs, deal with larger datasets, or contribute to existing software projects. ➡️ Apply by Monday 14 February: bit.ly/3GNjSzq
TRAINING: Join our online Advanced #Python for #Biologists course to increase skills and knowledge about the language for bigger or more complicated programs. #ProgrammingLanguage ➡ okt.to/wTjy6G 📅 Course Date: 04 - 15 July 2022 @pythonforbiolog #sciencetraining
A few places left on the Intro Python for Biologists course hosted by Glasgow Polyomics starting 22nd Nov: polyomics.gla.ac.uk/course-python_… If you or anyone you know is looking to learn Python for biological research, check it out.
A new Python for Biologists newsletter: eomail5.com/web-version?p=…
A gentle introduction to machine learning for biology pythonforbiologists.com/machine-learni… part one of multi-part series, more to come!
Still spaces available on an upcoming remote Intro Python course hosted by Edinburgh Genomics: buff.ly/3sTKyqD Excellent teaching from my colleagues at Edinburgh - please pass on details to anyone who you think might be interested.
Places are available on upcoming live courses hosted by Earlham Institute! Intro Python buff.ly/3tKpmor and Advanced Python buff.ly/3gxMDWB places available, taught remotely. See links for dates/times.
There are definitely enough of these "neural network in X lines of code" videos that they count as a genre, but this is a pretty nice example: buff.ly/3d8ZlI7 Out of curiosity, would anyone be interested in a few introductory articles on machine learning in biology?
Distribution of a finished Python program is one of the parts of the ecosystem that's still a bit of a barrier for beginners. Here's a project that aims to make it easier: buff.ly/3w0BDX4 might be worth a look next time you need to share a tool with dependencies.
If you don't want to leave the command line even for a minute, this might be a useful addition: buff.ly/39vZOU9 colorpedia lets you look up colours and palettes.
Not biology, but a nice example of a set of data analysis problems of increasing difficulty on a real life dataset. Complete with solutions! buff.ly/391W2RM
United States 趨勢
- 1. #AEWDynamite 18.3K posts
- 2. Will Richard 3,849 posts
- 3. #Survivor49 3,026 posts
- 4. #SistasOnBET 2,196 posts
- 5. #ChicagoPD 1,018 posts
- 6. Klay 6,492 posts
- 7. Godzilla 29.4K posts
- 8. #AmphoreusStamp 2,240 posts
- 9. Unplanned 4,683 posts
- 10. Nico Harrison N/A
- 11. Binnington 2,320 posts
- 12. Harrison Barnes N/A
- 13. Savannah 5,440 posts
- 14. Kent State 1,333 posts
- 15. Athena 10.2K posts
- 16. Cade 30.5K posts
- 17. Jovic 1,024 posts
- 18. Pat Spencer N/A
- 19. Mitchell Robinson 1,359 posts
- 20. Ovechkin 7,797 posts
你可能會喜歡
-
Vince Buffalo
@vsbuffalo -
Adam Phillippy
@aphillippy -
Stephen Turner 🦋 @stephenturner.us
@strnr -
Mark Gerstein
@MarkGerstein -
Jason Chin
@infoecho -
Ewan Birney
@ewanbirney -
Daniel MacArthur
@dgmacarthur -
Michael Schatz
@mike_schatz -
Mick W@tson ↙️
@BioMickWatson -
Isidro Cortes-Ciriano
@isidrolauscher -
Keith Robison
@OmicsOmicsBlog -
(((Dan Graur))) ダン דן גראור 🇮🇱🇺🇸🇺🇦✌️🖖
@DanGraur
Something went wrong.
Something went wrong.