Skip to main content

Intuitive coding for Jupyter Notebook using natural language.

Project description

Cogram: Intuitive coding with natural language

Cogram brings intuitive coding with natural language to Jupyter Notebook.

pypi Version Cogram on Slack

📖 Documentation

Documentation
🚀️ Sign up Sign up to get your API token and get started!
⭐️ How to New to Cogram? Check out our videos!
📚 Community Have questions our comments? Join our Slack!

Features

  • AI-powered coding for Jupyter Notebooks
  • Supports Python: ideal for data science tasks
  • Cycle through different suggestions

⏳ Install cogram

Requirements

  • API token: If you don't have one yet, sign up
  • Operating system: macOS · Linux · Windows
  • Python version: Python 3.6+ (only 64 bit)
  • Package managers: pip

Installation

The easiest way to install Cogram for Jupyter Notebook is using pip.

pip install -U jupyter-cogram
jupyter nbextension enable jupyter-cogram/main

Next, you should install your API token available on your My Account page. Install it with

python -m jupyter_cogram --token YOUR_TOKEN

That's it! You can now start a new Jupyter Notebook server with

jupyter notebook

and you're ready to go!

Updating Cogram

The easiest way to upgrade to a new version of Cogram is using pip:

pip install -U jupyter-cogram

You'll then have to kill any active Jupyter Notebook servers and start a new one with

jupyter notebook

Uninstalling Cogram

To remove Cogram from your system, simply use pip:

pip uninstall jupyter-cogram

Finally, remove Cogram from the list of extensions Jupyter will load when you start a Notebook:

jupyter nbextension disable jupyter-cogram/main

📚 Use Cogram

🛫 First start

If you've installed Cogram by following the instructions on your My Account page your API token will automatically be saved. You can open a Jupyter Notebook and get started.

You may be asked for your API token when you open a new Notebook for the first time. If this happens, paste the API token from your My Account page into the prompt box that opens when you start a new Jupyter Notebook.

The Cogram extension is on by default. You can toggle the extension off and on by clicking the Cogram button () in the toolbar of your Jupyter Notebook. The green circle indicates that Cogram is on.

🔮 Working with Cogram

You can use Cogram in two ways:

  • Generating code from plain language by writing a comment and completing with the Tab key
  • Comleting code you've written with the Tab key

The status light will turn orange indicating that Cogram is busy.

For example, writing the comment

# fibonacci sequence

and hitting the Tab key will generate a function that produces the Fibonacci sequence.

Alternatively, writing the code

def fibonacci

and hitting the Tab key will complete the function to produce the Fibonacci sequence.

Once your code has been generated you can explore different options with the ← and → keys. If you're happy with a suggestion you can accept it with the Tab key.

💡 Tips for working with Cogram

Cogram works especially well if you give it some context. Cogram knows the code in your notebook above the current position of your cursor. The more code you've already written, the better Cogram will work.

📚 Support

For help with Cogram please join our support channel in community.

Project details


Release history Release notifications | RSS feed

This version

0.10

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jupyter-cogram-0.10.tar.gz (31.7 kB view details)

Uploaded Source

Built Distribution

jupyter_cogram-0.10-py3-none-any.whl (64.3 kB view details)

Uploaded Python 3

File details

Details for the file jupyter-cogram-0.10.tar.gz.

File metadata

  • Download URL: jupyter-cogram-0.10.tar.gz
  • Upload date:
  • Size: 31.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for jupyter-cogram-0.10.tar.gz
Algorithm Hash digest
SHA256 bae921d29bbcef2ff1cc386f105d92619318a2b186acebee59bc98ae08e80ee2
MD5 c10f8f0a5ce7a4b5c811e5249c57030b
BLAKE2b-256 998fccc02f2cacbd71e034aa89d5c105d412c69943e7a31e9ebb15e6cfdcc06a

See more details on using hashes here.

File details

Details for the file jupyter_cogram-0.10-py3-none-any.whl.

File metadata

  • Download URL: jupyter_cogram-0.10-py3-none-any.whl
  • Upload date:
  • Size: 64.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for jupyter_cogram-0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 749d8fdfcf7479f9946618b9af38a464d9d4190e4a7dc2df9cf7b089d4879a8c
MD5 215439b486b442602f91fb52cc113728
BLAKE2b-256 6b7727f5fc10eb2187077be7a1670381701eecf9d0b5f5e497ce6d2c195624a1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page