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Website | jupyter.org |
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Website | desktop.github.com |
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Based on our record, Jupyter should be more popular than GitHub Desktop. It has been mentiond 200 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.
They make it easy to launch multiple case-by-case data science projects and run your local code right from Jupyter Notebook. - Source: dev.to / 18 days ago
Talking to some colleagues and friends lately gathering some ideas of a nice Machine Learning project to build, I’ve seen that there’s a gap of knowledge in terms of how do one exactly uses a Machine Learning model trained? Just imagine yourself building a model to solve some problem, you are probably using Jupyter Notebook to perform some data clean up, perform some normalization and further tests. Then you... - Source: dev.to / about 2 months ago
This year I decided to commit to a set of tools on day 1 (Polars and Jupyter) and use them for the whole challenge. It seemed silly to do a whole new meandering walkthrough, so instead I'll highlight a few things that stuck out after finishing the challenge and sitting on it for a few days. Here we go! - Source: dev.to / 2 months ago
The resulting technical reports can be in the formats: Markdown, Pod6, or Org-mode. Or just Jupyter notebooks. Source: 4 months ago
Another effective way to use comments is through literate programming. In this programming style, comments take the spotlight: the source code contains more prose than executable code. This is useful when explaining the algorithm is more important than reading it, as in academic research and data analysis. Not surprisingly, it is the paradigm of popular tools like Jupyter Notebook and Quarto. - Source: dev.to / 5 months ago
Congrats on the launch! It's always exciting to see more competition in the version control space. One question I have is whether you guys are better than: https://desktop.github.com/ This seems to do the exact same thing, be free forever, and have a more mature GUI that is also easier to use than regular terminal git. In my firm, even with people who don't know how to code, they can use github desktop (since it... - Source: Hacker News / about 1 month ago
- Product designers for open-source hardware. Various design files, SVG etc. I’ve experimented with a “GUI only” git flow - just to see what is possible, so I could introduce the concept to others. I found GitHub desktop app (https://desktop.github.com/)did a great job of visually showing git flows and functions, but for a non-tech/programmming person, the tool would be daunting. Curiosity what your suggested tech... - Source: Hacker News / 3 months ago
Just use github desktop its an open source tool https://desktop.github.com/. Source: 3 months ago
Download and install GitHub Desktop if you haven't already. - Source: dev.to / 3 months ago
3️⃣ GitHub Desktop: A desktop application provided by GitHub that allows you to interact with Git repositories visually. It provides an easy way to clone repositories, commit changes, create branches, and push and pull changes. Website: https://desktop.github.com/. - Source: dev.to / 5 months ago
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.
GitKraken - The intuitive, fast, and beautiful cross-platform Git client.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
SourceTree - Mac and Windows client for Mercurial and Git.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
SmartGit - SmartGit is a front-end for the distributed version control system Git and runs on Windows, Mac OS...