release date: December 2019

Expected:

• Tensorflow_cpu-2.1.0rc1, PyTorch-1.3.1
• numpy-1.17
• Python-3.8.1, Python3.7.6, python-vscode 2019.11,
• only ".dot" 32 bit versions

Not Expected:

• Spyder-4 transition is postponed to Spyder-4.1 (issue with in-editor completion due to web port usage)

Focus of the release:

• vscode refined integration :
  • : october update ==> .ipynb direct opening (but lot of issues, to moderate your enthousiasm see here https://github.com/microsoft/vscode-python/issues?q=is%3Aissue+is%3Aopen+label%3A%22data+science%22)
• push towards micro-services and ASGI:
  • better flask REST tooling
  • ASGI : Quart, uvicorn, FastAPI, hypercorn
• simplify further the build process, to be able to move to the cloud:
  • split in 3 steps : infrastructure creation, packages additions, wrap-up,
  • cleanup & simplify each step:
    • share Tools directories between Python Versions
    • share Docs directories between Python Versions
  • reduce need for an initial full WinPython environnment.

Non-Focus of the release:

• Jupyterlab-2 (far away)
• Spyder-4.0 (works less nice with Windows than previous version, until Spyder-4.1)

Hopes/Wishes for coming 2020:

• Spyder-5 compatible with PySide2 Q2 2020
• nodejs (or webpack or npm ?) no longer necessary to update Jupyterlab-2 Q2 2020,
• Tensorflow-2 and Pytorch get smaller, using windows ONNX infrastructure Q3 2020,
• Python-3.9 hugely simplifies Asyncio (inspired per Trio) and multi-core (sub-interpreters) Q4 2020
• Python hit 32% on PYPL.