PageProof is the only fully encrypted online proofing solution that offers native integrations into all your design, communication, and project management tools like Adobe, Canva, monday.com, Asana, Trello, Slack, MS Teams, and more.
Files of any kind - Adobe CC, Microsoft Office, Apple Keynote / Pages / Numbers, web banners, movies, emails, fonts, and more - can be securely shared with your team in just a few clicks.
PageProof offers smart tools to gather feedback centrally on work, automate workflow, and make sure everything is pixel perfect - including the world's first color separations for online proofing using PageProof ColorSep™ - perfect for packaging and print files.
PageProof offers a flat pricing plan that gives unlimited team members a voice, unlimited storage, and proofs – making feedback welcome.
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Based on our record, Jupyter seems to be more popular. 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.
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 2 months 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 / 2 months ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 3 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 / 3 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
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