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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | cab026737d863d431836fd566ac5d12f322f9dad12916e4a78b43c57d7953d85 |
|
MD5 | db4d3ed6a9cbd085c31ecbd179373de5 |
|
BLAKE2b-256 | 3a20abe931710d49eafce35ed39bf42d537343f32d25e8776f43270703b92990 |
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4f10c901b01b7742a47ed7767d6d138feeedc511afd6eef44fdf3ea1744e6588 |
|
MD5 | e10233f2b15a78a5e1e26a52f4a2254c |
|
BLAKE2b-256 | 9d60eceb21ea2b481358bc29dba531f49dd3e92dd37f55408bd43cb2b953960a |