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I designed this project to help make my life easier for my data science projects. It uses a combination of generating code in cell blocks (Check my testing/templates for example notebooks) and well designed objects for analysis and modeling. Currently it is far from done; (studying for GRE and have a full time job in my defense: ) ).
This project was mainly designed for and in Jupyter-Lab. I don't know how well it works in Jupyter-Notebook.
Can be found by clicking on docs/build/html/index.html in eflow using sphinx or go to https://eflow.readthedocs.io/en/latest/index.html.
$ pip install eflow
Ensuring the widgets work properly
$ jupyterlab nbextension enable --py widgetsnbextension --sys-prefix
$ jupyter nbextension enable --py widgetsnbextension --sys-prefix
$ jupyter labextension install @jupyter-widgets/jupyterlab-manager
$ jupyter lab clean
$ jupyter lab build
Getting natural language datasets setup. Start by opening up a Python Repl.
$ python
>>> nltk.download('wordnet')
>>> nltk.download('words')
>>> nltk.download('punkt')
FAQs
Unknown package
We found that eflow demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Security Fundamentals
Attackers use obfuscation to hide malware in open source packages. Learn how to spot these techniques across npm, PyPI, Maven, and more.
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