---

crypto

This project aims to perform the ETL of some cryptocurrencies on the Binance platform and load them into Big Query, and later analyze them with predictive models.

Installation

In order to set up the necessary environment:

1. review and uncomment what you need in environment.yml and create an environment crypto with the help of conda:

   conda env create -f environment.yml
   

2. activate the new environment with:

   conda activate crypto
   

NOTE: The conda environment will have crypto_01 installed in editable mode. Some changes, e.g. in setup.cfg, might require you to run pip install -e . again.

Optional and needed only once after git clone:

3. install several pre-commit git hooks with:

   pre-commit install
   # You might also want to run `pre-commit autoupdate`

   and checkout the configuration under .pre-commit-config.yaml. The -n, --no-verify flag of git commit can be used to deactivate pre-commit hooks temporarily.

4. install nbstripout git hooks to remove the output cells of committed notebooks with:

   nbstripout --install --attributes notebooks/.gitattributes

   This is useful to avoid large diffs due to plots in your notebooks. A simple nbstripout --uninstall will revert these changes.

Then take a look into the scripts and notebooks folders.

Dependency Management & Reproducibility

1. Always keep your abstract (unpinned) dependencies updated in environment.yml and eventually in setup.cfg if you want to ship and install your package via pip later on.
2. Create concrete dependencies as environment.lock.yml for the exact reproduction of your environment with:

   conda env export -n crypto -f environment.lock.yml

   For multi-OS development, consider using --no-builds during the export.
3. Update your current environment with respect to a new environment.lock.yml using:

   conda env update -f environment.lock.yml --prune

Project Organization

├── AUTHORS.md              <- List of developers and maintainers.
├── CHANGELOG.md            <- Changelog to keep track of new features and fixes.
├── CONTRIBUTING.md         <- Guidelines for contributing to this project.
├── Dockerfile              <- Build a docker container with `docker build .`.
├── LICENSE.txt             <- License as chosen on the command-line.
├── README.md               <- The top-level README for developers.
├── ETL                     <- Run ETL for cryptocurrencies.
|  └── logs                   <- Logs of the ETL dailly.
│  ├── src
│     ├── config.py              <- Script for the configurations
│     ├── extract.py             <- Script for the extraction of data.
│     ├── loading.py             <- Script for the loading data in Base Data (Big Query or MySQL).
│     ├── pipeline.py            <- Script for the Pipeline of the data.
│     └── transform.py           <- Script for the trasfortion data.
├── code
|  ├── configs                <- Directory for configurations of model & application.
|  ├── data
│     ├── external            <- Data from third party sources.
│     ├── interim             <- Intermediate data that has been transformed.
│     ├── processed           <- The final, canonical data sets for modeling.
│     └── raw                 <- The original, immutable data dump.
|  ├── models                 <- Trained and serialized models, model predictions,
|  │                                or model summaries.
│  ├── notebooks              <- Jupyter notebooks. Naming convention is a number (for
│  │                                ordering), the creator's initials and a description,
│  │                                e.g. `1.0-fw-initial-data-exploration`.
│  ├── src
│  │   └── crypto_01           <- Actual Python package where the main functionality goes.
│  ├── tests                   <- Unit tests which can be run with `pytest`.
├── docs                    <- Directory for Sphinx documentation in rst or md.
├── environment.yml         <- The conda environment file for reproducibility.
├── pyproject.toml          <- Build configuration. Don't change! Use `pip install -e .`
│                              to install for development or to build `tox -e build`.
├── references              <- Data dictionaries, manuals, and all other materials.
├── reports                 <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures             <- Generated plots and figures for reports.
├── setup.cfg               <- Declarative configuration of your project.
├── setup.py                <- [DEPRECATED] Use `python setup.py develop` to install for
│                              development or `python setup.py bdist_wheel` to build.
├── .coveragerc             <- Configuration for coverage reports of unit tests.
├── .isort.cfg              <- Configuration for git hook that sorts imports.
└── .pre-commit-config.yaml <- Configuration of pre-commit git hooks.

Note

This project has been set up using PyScaffold 4.1.1 and the dsproject extension 0.7.1.