Skip to main content

A small example package

Project description

#Installation

##Install from PyPI
GR_F4C is available on PyPI. To install GR_F4C, run this command in your terminal:

pip install GR_F4C

##Install from conda-forge


`GR_F4C` is also available on conda-forge. If you have Anaconda or Miniconda installed on your computer, you can create a conda Python environment to install `GR_F4C`:
conda install -c defaults -c conda-forge GR_F4C

##Install from GitHub


To install the development version from GitHub using Git, run the following command in your terminal: ```sh ``` ##Colaboratory
Colaboratory lets you connect to a local runtime using Jupyter. This allows you to execute code on your local hardware and have access to your local file system.

Step 1: Install Jupyter
Install Jupyter on your local machine.

Step 2: Install and enable the jupyter_http_over_ws jupyter extension (one-off)
The jupyter_http_over_ws extension is authored by the Colaboratory team and available on GitHub.

pip install jupyter_http_over_ws
jupyter serverextension enable --py jupyter_http_over_ws

Step 3: Start server and authenticate
New notebook servers are started normally, though you will need to set a flag to explicitly trust WebSocket connections from the Colaboratory frontend.

jupyter notebook \
  --NotebookApp.allow_origin='https://colab.research.google.com' \
  --port=8888 \
  --NotebookApp.port_retries=0

Once the server has started, it will print a message with the initial backend URL used for authentication. Make a copy of this URL as you'll need to provide this in the next step.

Step 4: Connect to the local runtime
In Colaboratory, click the 'Connect' button and select 'Connect to local runtime…'. Enter the URL from the previous step in the dialogue that appears and click the 'Connect' button. After this, you should now be connected to your local runtime.

##Upgrade GR_F4C
If you have installed GR_F4C before and want to upgrade to the latest version, you can run the following command in your terminal:

pip install -U GR_F4C

If you use conda, you can update GR_F4C to the latest version by running the following command in your terminal:

conda update GR_F4C

Project details


Download files

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

Source Distribution

majiko-0.0.13.tar.gz (7.4 kB view details)

Uploaded Source

Built Distribution

majiko-0.0.13-py3-none-any.whl (6.9 kB view details)

Uploaded Python 3

File details

Details for the file majiko-0.0.13.tar.gz.

File metadata

  • Download URL: majiko-0.0.13.tar.gz
  • Upload date:
  • Size: 7.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/54.1.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5

File hashes

Hashes for majiko-0.0.13.tar.gz
Algorithm Hash digest
SHA256 cab026737d863d431836fd566ac5d12f322f9dad12916e4a78b43c57d7953d85
MD5 db4d3ed6a9cbd085c31ecbd179373de5
BLAKE2b-256 3a20abe931710d49eafce35ed39bf42d537343f32d25e8776f43270703b92990

See more details on using hashes here.

File details

Details for the file majiko-0.0.13-py3-none-any.whl.

File metadata

  • Download URL: majiko-0.0.13-py3-none-any.whl
  • Upload date:
  • Size: 6.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/54.1.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5

File hashes

Hashes for majiko-0.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 4f10c901b01b7742a47ed7767d6d138feeedc511afd6eef44fdf3ea1744e6588
MD5 e10233f2b15a78a5e1e26a52f4a2254c
BLAKE2b-256 9d60eceb21ea2b481358bc29dba531f49dd3e92dd37f55408bd43cb2b953960a

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