The repository containts the collections of notes, summary, and other materials from each of RPyId's meeting. It is a twice a month meeting organized for local Indonesian community in Tokyo Institute of Technology to learn together about how to use R and/or Python for translating the experimental data. Most of introductory parts are inspired by lectures from The Carpentries. For advance participants, we can suggest implementations on some examples from Kaggle.
Tutors and Organizers
- Felix Salim
- Mia Fitria Utami
- Pande Putu Erawijantari
Notes collections for each meeting
About file format in ./Notes directory:
- .ipynb : generated by
jupyter notebook, you can download/clone to run the code in yourjupyter notebook - .Rmd : raw Rmarkdown file, you can download/clone to run the code in your
Rstudio - .md : rendered Rmarkdown file into markdown format for easier reading
Participants are welcome to upload own project here. How to? (Let's update again with better organizations later)
- Create directory with your name inside of
./Share_Practice - Organize your project inside that directory (notes, scripts, raw data are welcome!)
- Share with others!
The raw live coding by tutor during the meeting also will be deposited here in the ./Share_Practice/Live_coding.
Date: November 9, 2019
Time: 02:00 pm - 05: 00 pm
Venue: Midorigaoka 6 1st Floor, Tokyo Institute of Technology
Notes were placed at ./Notes/20191109_RPyID1st contains the introductions slide (by tutors Erawijantari and Felix) and notebook of live coding (by Jordy Trilaksono).
Source of hands-on: http://swcarpentry.github.io/r-novice-inflammation/01-starting-with-data/index.html
Date: November 30, 2019
Time: 02:00 pm - 05: 00 pm
Venue: Midorigaoka 6 1st Floor, Tokyo Institute of Technology
Notes were placed at ./Notes/20191130_RPyID2nd contains the exercise for creating functions, applying functions to multiple datasets, and starting with dataframe for introductions to the next meeting.
Date: December 15, 2019
Time: 10:00 am - 01:00 pm
Venue: Midorigaoka 6 1st Floor, Tokyo Institute of Technology
Notes: ./Notes/20191215_RPyID3rd contains about introduction of tydiverse and hands on on data wrangling in R.
Date: January 12, 2020
Time: 01:00 pm - 04: 00 pm
Venue: Midorigaoka 6 1st Floor, Tokyo Institute of Technology
Notes: ./Notes/20200112_RPyID4th contains visualizations of data from 3rd meeting using ggplot
Date: February 01, 2020
Time: 02:00 pm - 05: 00 pm
Venue: Midorigaoka 6 1st Floor, Tokyo Institute of Technology
Notes: ./Notes/20200201_RPyID5th (introductions of library for fundamental statistical inference in R)
This is the first trial of hackathon, thus we will call "Semi" Hackathon. Please read on notes about the hackathon format.
Date: February 24, 2020
Time: 11:00 - 18: 00
Venue: Midorigaoka 6 1st Floor, Tokyo Institute of Technology
Notes: ./Notes/20200224_RPyID6th
Date: TBA
Time: TBA
Venue: Midorigaoka 6 1st Floor, Tokyo Institute of Technology
Notes: TBA (Introductions of numpy and data wrangling with pandas, posibly a litle bit visualizations using searborn/matplotlib)
Date: TBA
Time: TBA
Venue: Midorigaoka 6 1st Floor, Tokyo Institute of Technology
Notes: TBA (Playing with matplotlib and/or seaborn, we will use kaggle example here)
Date: TBA
Time: TBA
Venue: Midorigaoka 6 1st Floor, Tokyo Institute of Technology
Notes: TBA (Mostly trial using scikit-learn).
- Introductions to UNIX and command line scripting
- Introductions to Git for code documentations
- Basic programing for genomic data analysis (overview and practice; probably 2 parts) : Life science outsider are welcome!
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