-
Make sure you have installed pip (Python 3)
sudo apt-get install python3-pip -
Make sure you have NLTK (Natural Language Tool Kit) installed (Python 3)
sudo pip install -U nltk
.
├── docs <- All documentation about project
│ ├── reports <- Reports for current project advancement
│ ├── references <- All references papers, links related to this project goes here
│ └── sphinx <- Automaticaly genereated API documentation form stringdocs in code
│
├── lib <- All project's source code goes here
│ ├── data-generation <- Code for data generation if needed
│ └── preprocessing <- Code for data preprocessing
│
├── models <- Contains code to train, test and run models
│ ├── dumps <- trained models file
│ └── scripts <- script to run models
│
├── Readme.md <- Contains current project info
├── requirements.txt <- Packages and modules needed for the current project to run
└── tests <- Unit test for the code in lib/
└── lib
├── analysis
├── data-generation
└── preprocessing
-
Symlink to your Raw data
user@host:/my/awesome/project$ ln -s /path/to/your/raw/data . -
Data location must follow this structure:
data
├── raw <- Raw data
├── temp <- transformed data stored temporarily if needed
└── preprocessed <- preprocessed data to run in a model
- Treat the data/raw (and its format) as immutable. Don't ever edit your raw data, especially not manually, and especially not in Excel.
- Don't overwrite your raw data. Don't save multiple versions of the raw data.
- The code you write should move the raw data through a pipeline to your final analysis.
- You shouldn't have to run all of the steps every time you want to make a new figure, but anyone should be able to reproduce the final products with only the code in lib/ and the data in data/raw.