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c4v-py-0.1.0.dev6
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مشاهده بیشترتوضیحات
Code for Venezuela python library.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | c4v-py-0.1.0.dev6 |
| نام | c4v-py |
| نسخه کتابخانه | 0.1.0.dev6 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Edilmo Palencia |
| ایمیل نویسنده | edilmo@gmail.com |
| آدرس صفحه اصلی | https://www.codeforvenezuela.org/ |
| آدرس اینترنتی | https://pypi.org/project/c4v-py/ |
| مجوز | Apache-2.0 |
# c4v-py
<p align="center">
<img width="125" src="assets/logo.png">
</p>
> Solving Venezuela pressing matters one commmit at a time
`c4v-py` is a library used to address Venezuela's pressing issues
using computer and data science. Check the [online documentation](https://code-for-venezuela.github.io/c4v-py/)
- [Installation](#installation)
- [Development](#development)
- [Pending](#pending)
## Installation
Use pip to install the package:
```python3
pip install c4v-py
```
## Usage
_TODO_
[Can you help us? Open a new issue in
minutes!](https://github.com/code-for-venezuela/c4v-py/issues/new/choose)
## Contributing
The following tools are used in this project:
- [Poetry](https://python-poetry.org/) is used as package manager.
- [Nox](https://nox.thea.codes/) is used as automation tool, mainly for testing.
- [Black](https://black.readthedocs.io/) is the mandatory formatter tool.
- [PyEnv](https://github.com/pyenv/pyenv/wiki) is recommended as a tool to handle multiple python versions in your machine.
The library is intended to be compatible with python ~3.6.9, ~3.7.4 and ~3.8.2. But the primary version to support is ~3.8.2.
The general structure of the project is trying to follow the recommendations
in [Cookiecutter Data Science](https://drivendata.github.io/cookiecutter-data-science/).
The main difference lies in the source code itself which is not constraint to data science code.
### Setup
1. Install pyenv and select a version, ie: 3.8.2. Once installed run `pyenv install 3.8.2`
2. Install poetry in your system
3. Clone this repo in a desired location `git clone https://github.com/code-for-venezuela/c4v-py.git`
4. Navigate to the folder `cd c4v-py`
5. Make sure your poetry picks up the right version of python by running `pyenv local 3.8.2`, if 3.8.2 is your right version.
6. Since our toml file is already created, we need to get all dependencies by running `poetry install`. This step might take a few minutes to complete.
7. Install nox
8. From `c4v-py` directory, on your terminal, run the command `nox -s tests` to make sure all the tests run.
If you were able to follow every step with no error, you are ready to start contributing. Otherwise, [open a new issue](https://github.com/code-for-venezuela/c4v-py/issues/new/choose)!
## Roadmap
- [ ] Add CONTRIBUTING guidelines
- [ ] Add issue templates
- [ ] Document where to find things (datasets, more info, etc.)
- This might be done (in conjunction) with Github Projects. Managing tasks there might be a good idea.
- [ ] Add LICENSE
- [ ] Change the authors field in pyproject.toml
- [ ] Change the repository field in pyproject.toml
- [ ] Move the content below to a place near to the data in the data folder or use the reference folder.
Check [Cookiecutter Data Science](https://drivendata.github.io/cookiecutter-data-science/) for details.
- [ ] Understand what is in the following folders and decide what to do with them.
- [ ] brat-v1.3_Crunchy_Frog
- [ ] creating_models
- [x] data/data_to_annotate
- [ ] data_analysis
- [ ] Set symbolic links between `brat-v1.3_Crunchy_Frog/data` and `data/data_to_annotate`. `data_sampler` extracts to `data/data_to_annotate`. Files placed here are read by Brat.
- [ ] Download Brat - `wget https://brat.nlplab.org/index.html`
- [ ] untar brat - `tar -xzvf brat-v1.3_Crunchy_Frog.tar.gz`
- [ ] install brat - `cd brat-v1.3_Crunchy_Frog && ./install.sh`
- [ ] replace default annotation conf for current configuration - `wget https://raw.githubusercontent.com/dieko95/c4v-py/master/brat-v1.3_Crunchy_Frog/annotation.conf -O annotation.conf`
- [ ] replace default config.py for current configuration - `wget https://raw.githubusercontent.com/dieko95/c4v-py/master/brat-v1.3_Crunchy_Frog/config.py -O config.py`
نیازمندی
| مقدار | نام |
|---|---|
| >=21.0.0,<22.0.0 | pip |
| >=2.5.2,<3.0.0) | tensorflow |
| ==0.8.0) | tensorflow_hub[make_image_classifier] |
| ==0.10.0) | tensorflow-probability |
| ==0.23.1) | scikit-learn |
| ==0.2.0) | scikit-multilearn |
| ==1.1.1) | pandas |
| >=3.5,<4.0 | nltk |
| ==1.26.1) | google-cloud-bigquery |
| >=2.7.0,<3.0.0) | google-cloud-logging |
| >=2.5.0,<3.0.0 | Scrapy |
| >=4.9.3,<5.0.0 | beautifulsoup4 |
| >=0.8.9,<0.9.0 | tabulate |
| ==7.1.2 | click |
| ==1.5.4 | scipy |
| ==5.6.1 | nbconvert |
| ==4.3.3 | traitlets |
| ==5.5.5) | ipykernel |
| ==7.16.1) | ipython |
| >=3.5.0,<4.0.0 | zipp |
| >=4.6.1,<5.0.0 | importlib-metadata |
| >=5.2.2,<6.0.0 | importlib-resources |
| >=0.8.0,<0.9.0) | dataclasses |
| >=4.9.0,<5.0.0) | transformers |
| >=1.10.2,<2.0.0) | datasets |
| >=1.9.0,<1.10.0) | torch |
| >=3.1.4,<4.0.0 | dynaconf |
| >=0.5.2,<0.6.0) | transformers-interpret |
| >=1.2.0,<2.0.0) | streamlit |
| >=2.0.2,<3.0.0) | Flask |
| >=2021.3,<2022.0 | pytz |
| >=1.43.0,<2.0.0) | google-cloud-storage |
| >=1.4.0,<2.0.0) | google-cloud-functions |
| >=5.2.0,<6.0.0) | firebase-admin |
| >=0.2.2,<0.3.0 | scrapydo |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6.2,<4.0 | Python |
نحوه نصب
نصب پکیج whl c4v-py-0.1.0.dev6:
pip install c4v-py-0.1.0.dev6.whl
نصب پکیج tar.gz c4v-py-0.1.0.dev6:
pip install c4v-py-0.1.0.dev6.tar.gz