Now that we're about ready to wrap up the first four lessons, I figured it'd help for us to keep a running list of ideas for future sessions. We should also get a survey ready to send out after the Git lesson.
Definite future sessions:
- Data analysis and visualization in Python (
pandas, seaborn)
- Data visualization in R w/
ggplot2 (likely part of the BGSS dinner series)
- Collaborating with Git/GitHub
Possible future sessions:
- Intro to stats in R
- simple functions like
cor, model objects (lm, aov, etc), formula objects, summary, tidy stats with broom
- Intermediate topics in base Python
- methods + attributes, control flow, classes, try/except, assertions
- Intermediate topics in Python - useful packages
argparse, collections, csv, etc - maybe even requests?
- Classes in Python
- ie full lesson on classes with some use cases
- Intro to writing scientific documents with LaTeX
- Cluster/server integration?
- this'd be hard to do in a workshop format...
- Debugging in Python
- ie walks through errors and how to fix them
- Debugging in R (same as above)
- Intermediate topics in R
tidyr, stringr, etc - one or more workshops
- could also be a data cleaning workshop?
- Advanced topics in R
- functional programming with
purrr is one I'd love to do as a whole workshop
- another fun one could be defensive programming
Spitballing:
- Some sort of intro ML stuff in Python with
scikit-learn?
- Full on Biopython workshop??
- Biopython is huge - this could just cover super common tools like
SeqIO and Entrez and then dabble briefly in documentation to show what else is out there (ie AlignIO, pairwise2)
Lightning Demos (5-10 minute demos from people in the crowd)
- Data visualization (show a cool plot you made and how you did it!)
- Coding interfaces (what's your coding setup? how do you code efficiently? what are some tricks you've picked up?)
- Python (what's something cool you did/found in Python?)
Now that we're about ready to wrap up the first four lessons, I figured it'd help for us to keep a running list of ideas for future sessions. We should also get a survey ready to send out after the Git lesson.
Definite future sessions:
pandas,seaborn)ggplot2(likely part of the BGSS dinner series)Possible future sessions:
cor, model objects (lm,aov, etc), formula objects,summary, tidy stats withbroomargparse,collections,csv, etc - maybe evenrequests?tidyr,stringr, etc - one or more workshopspurrris one I'd love to do as a whole workshopSpitballing:
scikit-learn?SeqIOandEntrezand then dabble briefly in documentation to show what else is out there (ieAlignIO,pairwise2)Lightning Demos (5-10 minute demos from people in the crowd)