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We have quickstart installers for Django, web2py, Flask, and Bottle — we can also handle any other WSGI web framework that you want to use, and it's probably already installed.

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There is no easier Python hosting experience, IMHO.

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Run Python scripts,Jupyter notebooks, or even a graphical applicationin a full, remote Python environment.

CoCalc covers all the bases

• Data Science and Machine Learning:Uploadyour datafiles and analyze them usingTensorflow,scikit-learn,Keras, ... including anAnacondaenvironment.
• Mathematics:SymPy,SageMath, ...
• Statistics:pandas,statsmodels,rpy2 (R bridge), ...
• Visualization:matplotlib,plotly, seaborn, ...
• Teaching: learn Python online or teach a course.

Find more details in thelist of installed Python libraries.

Zero setup

• Immediately start working by creating oruploading, Jupyter Notebooksor Python scripts.
• No need to download and installPython,Anaconda, or other Python environments.
• CoCalc alreadyprovides many packagesfor you.
• The LaTeX editor is already integrated withPythonTeX andSageTeX.

As the name suggests, CoCalc's strength isonline code collaboration. Collaboration applies to editing plain Python files,Sage Worksheets,Jupyter Notebooks, and much more.

This enables you to work more effectively as a team to solve the challenges of data science, machine learning and statistics. Every collaborator is always looking at the most recent state of files, and they experience and inspect the same Python state.

You cancreate chatroomsand get help viaside chat by @mentioning collaborators.

CoCalc offers acomplete rewriteof the classicalJupyter notebook interface. It is tightly integrated into CoCalc and adds realtime collaboration,TimeTravel history and much more.

The user interface is very similar to Jupyter classic. It uses the same underlying Jupyter notebook file format, so you can download your *.ipynb file at any time and continue working locally.

There are severalPython environments available.

You can also easily runJupyter Classicaland JupyterLab in any CoCalc project.

• Manages the entire compilation pipeline for you: it automatically calls pyhontex3 orsage to pre-process the code,
• Supports forward and inverse search to help you navigating in your document,
• Captures and shows youwhere LaTeX or Python errors happen,
• and viaTimeTravelyou can go back in time to see your latest edits in order toeasily recover from a recent mistake.

1. Upload or fetch your datasets,
2. Use Jupyter Notebooks to explore the data, process it, and calculate your results,
3. Discuss andcollaborate with your research team,
4. Write your research paper in a LaTeX document,
5. Publish the datasets, your research code, and the PDF of your paper online, all hosted on CoCalc.

CoCalc has one-click code formatting for Jupyter notebooks and code files!

Your python code is formatted in a clean and consistent way usingyapf.

This reduces cognitive load reading source code, and ensures all code written by your team has a consistent and beautiful style.

Python code formatting works withpure .py filesand Jupyter Notebooks running a Python kernel.

Your existing Python scripts run on CoCalc. Either open aTerminal in the code editor, or click the 'Shell' button to open a Python command line.

Terminals also give you access togit andmany more utilities.

Regarding collaboration, terminals can be usedby multiple users at once. This means you can work with your coworkers in the same session at the same time. Everyone sees the same output, and coordinate viaside chat next to the terminal.

You can also simultaneously work with many terminal sessions.

For long-running programs, you can even close your browser and check on the result later.

Collaboration is a first class citizen on CoCalc. Useside chat for each file to discuss content with your colleagues or students.

Additionally, avatars give youpresence information about who is currently also working on a file.

Collaborators who are not online will be notified about new messages the next time they sign in.

Chat also supports markdown formatting and $\text{LaTeX}$LATE​X formulas.

CoCalc helps you share your work with the world. It offers its own hosting of shared documents, alongside with any associated data files.

You can configure if your published files should be listed publicly, or rather only be available via a confidential URL.

Snapshots are consistent read-only views of all your files in aCoCalc project. You can restore your files by copying back any that you accidentally deleted or corrupted.

Python 2.7 Online Ide