To begin, if you haven't already, install GitHub CLI. Following installation, authenticate your primary GitHub account using the gh auth login command. Walk through the prompts to securely provide your credentials.

Checking Authentication Status:
Verify the status of your linked accounts with gh auth status. A typical output might resemble the following:

github.com
  ✓ Logged in to github.com account BlankRiser (keyring)
  - Active account: true
  - Git operations protocol: https
  - Token: gho_************************************
  - Token scopes: 'gist', 'read:org', 'repo', 'workflow'

Adding Multiple Accounts:
To add another account, simply run gh auth login again and follow the steps. Upon checking the status (gh auth status), you'll notice the new credentials listed. The account you just logged into will become your primary account. An example output could be:

github.com
  ✓ Logged in to github.com account BlankRiser (keyring)
  - Active account: false
  - Git operations protocol: https
  - Token: gho_************************************
  - Token scopes: 'gist', 'read:org', 'repo', 'workflow'

  ✓ Logged in to github.com account BlankRiser_Official (keyring)
  - Active account: true
  - Git operations protocol: https
  - Token: gho_************************************
  - Token scopes: 'gist', 'read:org', 'repo', 'workflow'

Switching Between Accounts:
Effortlessly switch between accounts using gh auth switch.

Automation with jq:
Integrating jq with GitHub CLI can significantly enhance your workflows. In the example below, we retrieve the current active user data using GitHub CLI and extract the URL from the returned JSON:

gh api /user | jq .url

Obtaining Tokens:
To obtain a token for a specific user, the gh auth token command with the --user flag can be utilised:

gh auth token --user BlankRiser

While there are alternative methods, such as utilising multiple SSH keypairs and custom scripts, I find that using GitHub CLI is the most straightforward and user-friendly approach for both setup and getting started.

Get Fiona running on your pc easy and quick

I wanted to install Kepler.gl for a project, but kept having trouble installing Fiona(which is a dependency of keplergl) and figured there probably are more people who have gone through the same. Let me show you how to fix it and install Fiona.

To install Fiona, we have to know its dependencies/requirements mentioned in their documentation:

Python versions 2.7 or 3.4+.

GDAL with compiled libraries and headers

Fiona depends on the modules like _enum34_, _six_, _cligj_, _munch_, _argparse_, and _ordereddict_. Pip will fetch these requirements for you, but users installing Fiona from a Windows installer must get them separately.

1. Python Architecture Learn which architecture of python is installed in your pc.

>> import platform as p
>> print(p.architecture())
('64bit', 'WindowsPE')</span>

It can either be 64bit or 32bit.

2. Downloading the required files

Go to GDAL official site from here and choose a link in Downloads whose architecture matches your python

I picked MSVC 2017 x64bit

After clicking the link in Downloads, you would be sent in to a different page that matches the configuration you chose earlier.

Download

• Compiled binaries in a single .zip package
• Compiled libraries and headers
• Generic installer for the GDAL core components
• Installer for the GDAL python bindings ( the python version and architecture should match to what you have)

I’ve downloaded these files as I have Python 3.7 — 64bit

3. Installation

Install GDAL core and then GDAL python binding from msi installers.

4. Adding environment variables

• Find where GDAL is installed: it’s probably in C:\Program Files (x86)\GDAL\or C:\Program Files\GDAL\
• Add the following to your environment variables:

PATH: C:\Program Files (x86)\GDAL

GDAL_DATA: C:\Program Files (x86)\GDAL\gdal-data

GDAL_DRIVER_PATH: C:\Program Files (x86)\GDAL\gdalplugins

After this, execute the code below in your terminal and paste the version in a new environment variable called GDAL_VERSION

gdalinfo --version

GDAL_VERSION: 3.0.1

5. Installing Fiona

We are done with installing GDAL, and can now proceed to install Fiona. Download Fiona Windows binaries according to your python specification from here.

Open your command prompt and cd to the folder where whl package of Fiona you just downloaded. Use pip to install the whl file: pip install fiona_file.whl

pip install Fiona-1.8.13-cp37-cp37m-win_amd64.whl

6. Installing keplergl (Optional)

You have all the dependencies you need, without Fiona causing any error.

pip install keplergl