GitHub Desktop
GitKraken
SourceTree
SmartGit
TortoiseGit
Fork
Tower
Git Extensions
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
GitHub Desktop PandasBased on our record, Pandas should be more popular than GitHub Desktop. It has been mentiond 198 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.
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 / 4 months 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 / 5 months ago
Just use github desktop its an open source tool https://desktop.github.com/. Source: 5 months ago
Download and install GitHub Desktop if you haven't already. - Source: dev.to / 5 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 / 7 months ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 17 days ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 11 days ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
GitKraken - The intuitive, fast, and beautiful cross-platform Git client.
NumPy - NumPy is the fundamental package for scientific computing with Python
SourceTree - Mac and Windows client for Mercurial and Git.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
SmartGit - SmartGit is a front-end for the distributed version control system Git and runs on Windows, Mac OS...
OpenCV - OpenCV is the world's biggest computer vision library