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Using IPython for interactive work. Guide for IPython core Developers. Welcome to the official IPython documentation. IPython provides a rich toolkit to help you make the most out of using Python interactively. A powerful interactive Python shell. Kernel to work with Python code in Jupyter notebooks and other interactive frontends. Input history, persistent across sessions.
Upgrading JupyterHub and its database. With JupyterHub you can create a multi-user Hub. Which spawns, manages, and proxies multiple instances of the single-user Jupyter notebook. Due to its flexibility and customization options, JupyterHub can be used to serve notebooks to a class of students, a corporate data science group, or a scientific research group.
This is an experimental documentation development project. Please refer to the official docs on readthedocs. Used to verify users and administrators. Used to create a single-user notebook server for a user.
How to run C methods from Python. Want to catch up? Sci-Pype - Jupyter Redis Docker. Building Scientific Data Pipelines for Jupyter in Docker. Sharing between the Host and the Jupyter Container. Want to catch up? Docker - Django nginx Slack. Creating a New Technical Document. Running Django without Docker or uWSGI. Want to catch up? Building an Investment Platform. A Real-Time Distributed News Pipeline. A Real-Time Distributed Pricing Engine. A Real-Time Distributed Notification System.
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26 oktober 2016 - Leiden. Lieve vrienden, kennissen en familie,. We zijn natuurlijk al enkele maanden terug, maar we hadden nog steeds niet het laatste stukje op de blog gezet! En dat is toch jammer misschien moesten we eerst even acclimatiseren voordat we ons ertoe konden zetten, haha. Maar goed, bij deze! Maar voor nu was dit het einde. PS Nog even wat statistieken! 10000 km in de VS gereden.