stress_at_work_analysis/config/environment.yml

name: straw2analysis
channels:
  - defaults
  - conda-forge
dependencies:
  - python=3.9
  - black
  - isort
  - flake8
  - jupyterlab
  - jupytext
  - mypy
  - nodejs
  - pandas
  - psycopg2
  - python-dotenv
  - pytz
  - seaborn
  - scikit-learn
  - sqlalchemy
  - statsmodels
  - tabulate
Set up requirements. Install packages to check the code formatting. Do this before every commit. 2020-12-23 17:06:25 +01:00			`name: straw2analysis`
			`channels:`
			`- defaults`
Create the environment from file. Add conda-forge as a channel for some packages. 2020-12-24 11:41:21 +01:00			`- conda-forge`
Set up requirements. Install packages to check the code formatting. Do this before every commit. 2020-12-23 17:06:25 +01:00			`dependencies:`
Only list the user-specified packages in environment.yml. Let conda satisfy dependencies on each platform separately. 2020-12-24 11:35:16 +01:00			`- python=3.9`
			`- black`
			`- isort`
			`- flake8`
Copy Models and edit for imports. 2020-12-24 16:46:55 +01:00			`- jupyterlab`
Add SMS data exploration and use Jupytext to save JupyterNotebooks as py scripts. 2021-05-07 12:10:46 +02:00			`- jupytext`
Only list the user-specified packages in environment.yml. Let conda satisfy dependencies on each platform separately. 2020-12-24 11:35:16 +01:00			`- mypy`
Add SMS data exploration and use Jupytext to save JupyterNotebooks as py scripts. 2021-05-07 12:10:46 +02:00			`- nodejs`
Add a method to get Calls data. Add a test for this. 2021-01-05 17:00:45 +01:00			`- pandas`
Only list the user-specified packages in environment.yml. Let conda satisfy dependencies on each platform separately. 2020-12-24 11:35:16 +01:00			`- psycopg2`
Use SQLAlchemy to connect to DB. 2020-12-24 16:06:23 +01:00			`- python-dotenv`
Add a method to transform ESM data and the test. 2021-05-27 18:10:34 +02:00			`- pytz`
Add Seaborn and cleanup. 2021-04-09 15:33:52 +02:00			`- seaborn`
Add an example for linear regression. 2021-08-12 16:54:00 +02:00			`- scikit-learn`
Look at frequencies of screen statuses and explain (un)lock sequences. 2021-05-05 17:20:19 +02:00			`- sqlalchemy`
Classify and count adherence. Add statsmodels. 2021-06-08 16:40:01 +02:00			`- statsmodels`
Look at frequencies of screen statuses and explain (un)lock sequences. 2021-05-05 17:20:19 +02:00			`- tabulate`