nbdev | Create delightful software with Jupyter Notebooks | Machine Learning library

by fastai Jupyter Notebook Version: 2.3.13 License: Apache-2.0

X-Ray Key Features Code Snippets(1)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | nbdev Summary

nbdev is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Numpy, Jupyter, Pandas applications. nbdev has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Create delightful python projects using Jupyter Notebooks.

Support

Quality

Security

License

Reuse

Support

nbdev has a medium active ecosystem.

It has 4383 star(s) with 445 fork(s). There are 44 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 112 open issues and 702 have been closed. On average issues are closed in 22 days. There are 14 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nbdev is 2.3.13

Quality

nbdev has 0 bugs and 0 code smells.

Security

nbdev has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nbdev code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nbdev is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

nbdev releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 12067 lines of code, 352 functions and 53 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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nbdev Key Features

No Key Features are available at this moment for nbdev.

nbdev Examples and Code Snippets

mamba fails to create env

Python

Lines of Code : 24

License : Strong Copyleft (CC BY-SA 4.0)

Copy

name: nbdev
channels:
  - fastai
  - defaults
  - conda-forge
dependencies:
  - _r-mutex
  - _tflow_select
  - absl-py
  - alabaster

name: nbdev
channels:
  - fastai
  - defaults
  - conda-forge
dependencies:
  - p

Community Discussions

Trending Discussions on nbdev

mamba fails to create env

nbdev and 'coroutine' object is not subscriptable

QUESTION

mamba fails to create env

Asked 2021-Aug-04 at 05:11

I had just installed Anaconda from anaconda.com. The installation proceeded smoothly. After that, I was trying to create a new environment from this environment.yml file. (nbdev.yml)

...

ANSWER

Answered 2021-Aug-04 at 05:11

After a lot of research, I stumbled on to Mamba doesn't find a solution when mixing conda forge defaults and not specifying Python explicitly 1102. So I just edited nbdev.yml from

Source https://stackoverflow.com/questions/68645697

QUESTION

nbdev and 'coroutine' object is not subscriptable

Asked 2021-Apr-17 at 10:36

I recently updated the nbdev version of an "old" project of mine (I made a new conda environment), and now automatic tests in github (the "Run tests" part of the build) are failing with a

...

ANSWER

Answered 2021-Apr-12 at 15:19

I faced the very same issue. It turned out that I had nbconvert version pinned in my setup.py, like 'nbconvert~=5.6.1'.

After removing this restriction tests started to pass again.

P.S. The version of nbconvert is now 6+.

Source https://stackoverflow.com/questions/66988159

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install nbdev

The following are helpful resources for getting started with nbdev:.
The tutorial.
A minimal, end-to-end example of using nbdev. We suggest replicating this example after reading through the tutorial to solidify your understanding.
The docs.
release notes.

Support

If you want to contribute to nbdev, be sure to review the contributions guidelines. This project adheres to fastai`s code of conduct. By participating, you are expected to uphold this code. In general, the fastai project strives to abide by generally accepted best practices in open-source software development. Make sure you have the git hooks we use installed by running. in the cloned repository folder.

Find more information at: