
Learn Git Branching
Pro Git
GitHub
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Node.js
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iPython
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iPythonThis tool is recommended for beginners who are new to Git and want to start with foundational concepts, as well as for developers of all levels who wish to reinforce their understanding of branching and merging. It's especially useful for those who prefer interactive learning over traditional reading materials.
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Based on our record, Learn Git Branching should be more popular than iPython. It has been mentiond 138 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.
I built Learn AWS IAM to make that process more hands-on. It's 12 interactive levels that run entirely in the browser. No AWS account, no signup, free, open source. Inspired by Learn Git Branching. - Source: dev.to / about 1 month ago
For a comprehensive list of commands and their usage, refer to the Git documentation, or consider learning with an interactive tutorial like learngitbranching. - Source: dev.to / about 2 months ago
Git is a beautiful piece of software but it does expose complexity in a very by programmers for programmers kind of way. I've successfully gotten many non tech roles to use git but there's usually a lot missed in the nuances and power that is in their reach, but not quite adopted. The learn git branching site/game [1] has always been an awesome resource but you'd like something like that UX be almost part of the... - Source: Hacker News / 5 months ago
Learn Git Branching A visual and interactive way to understand branching and merging in Git. Https://learngitbranching.js.org/. - Source: dev.to / 6 months ago
This is very polished! I worked on http://learngitbranching.js.org/ which is a similar approach (browser simulated lessons). My one suggestion is that you might want to allow people to jump into the harder lessons right away vs having to go through the basics. The first few lessons being simple selects wasn't the most engaging. Just a suggestion! - Source: Hacker News / 8 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโm currently in the process of getting my โnewโ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโt jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: about 3 years ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
Pro Git - The Git Book is the official tutorial about Git.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
VS Code - Build and debug modern web and cloud applications, by Microsoft
Spyder - The Scientific Python Development Environment