
Xnapper
Shottr
BrandBird
ScreenStudio
Supasnap
Tella
CleanShot X
Loom
iPython
Jupyter
PyCharm
Spyder
IDLE
PyScripter
Pyzo
Ecere SDK
Xnapper is a nataive macOS Application that enables users to take beautiful screenshots instantly, making it "social media ready" the moment you snap your screen.
Xnapper
iPythonNo iPython videos yet. You could help us improve this page by suggesting one.
Based on our record, iPython should be more popular than Xnapper. It has been mentiond 20 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.
600 hours to build another screenshot editor? Which just adds some gradient and aligns the image? What are some differences between your product and the following free services? https://screenzy.io/ https://screenshot.rocks/ https://www.fabpic.app/ https://shoteasy.fun/screenshot-beautifier https://gemoo.com/screen-capture/ https://xnapper.com/ https://codeimage.dev/. - Source: Hacker News / over 2 years ago
No, it's taking a screenshot of the browser's content, then adding padding to the surrounding image, and letting you pick a colour for it. Screenshot Software like Cleanshot X and Xnapper have this feature built in, either as a default or as a customisable setting.They're basically making it unnecessary to use a third-party screenshot tool to achieve the same effect. Why would you want it? I have no clue.... Source: over 2 years ago
Reminds me of https://xnapper.com/, except for code. I imagine some people might tweet snippets of code, and this makes the snippet look much more visually appealing. - Source: Hacker News / almost 3 years ago
Xnapper can do this. https://xnapper.com/. Source: over 3 years ago
I built a screenshot app for macOS and made ~$3k/mo from it :) https://xnapper.com People like the app for its ability to turn a normal boring screenshot into a beautiful one that they can share on social media instantly. - Source: Hacker News / over 3 years 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 / 11 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: over 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
Shottr - Shottr is a free macOS screenshot app with scrolling screenshots, OCR, annotation and measurement instruments.
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.
BrandBird - Brand your Twitter content uniquely
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
ScreenStudio - Streaming, made easy!
Spyder - The Scientific Python Development Environment