GitHub CLI
Git
Homebrew
Medium CLI
GitHub
GitHub Actions
Mac CLi
GitHub Desktop
Jupyter
Looker
Google BigQuery
Databricks
Presto DB
Rakam
Informatica
Concurrent
GitHub CLI JupyterBased on our record, Jupyter should be more popular than GitHub CLI. It has been mentiond 206 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This Docker image is designed to support implementing Github Actions With Python. As of version 4.0.0., it starts with The official python docker image as the base Which is a Debian OS. It specifically uses python:3-slim to keep the image size Down for faster loading of Github Actions that use pyaction. On top of the Base, we've installed curl Gpg, git, and the GitHub CLI. We added curl and gpg because they Are... - Source: dev.to / 4 months ago
You might be interested in GitHub's cli tool, which is open source, if you want to access GitHub without running their proprietary JS code. https://cli.github.com/. - Source: Hacker News / 4 months ago
👉 Note: This script uses the GitHub CLI. So make sure you've installed that if you haven't already. Instructions here. - Source: dev.to / 5 months ago
To use a proper dynamic auth for ghcr.io you can create a "credential helper" and then it is supported by flux, see here: https://fluxcd.io/flux/cheatsheets/oci-artifacts/#authentication Unfortunately the "official" credential helper for ghcr.io doesn't exist. I use this simple script as a helper: https://gist.github.com/pkit/a98411d21ecc9293066f4579088187d1 Which requires gh cli to be installed. Source: 6 months ago
Two CLI tools I install right away are the GitHub CLI (via brew) and the Netlify CLI (via npm). - Source: dev.to / 7 months ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 1 month ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / about 2 months ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 2 months ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / about 2 months ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 4 months ago
Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Homebrew - The missing package manager for macOS
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Medium CLI - A command line Interface for reading Medium stories
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?