pyquickhelper | publish materials for teaching , notebook rendering
kandi X-RAY | pyquickhelper Summary
kandi X-RAY | pyquickhelper Summary
pyquickhelper is a Jupyter Notebook library. pyquickhelper has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Automation to publish materials for teaching, notebook rendering, sphinx extensions, Jenkins helpers...
Automation to publish materials for teaching, notebook rendering, sphinx extensions, Jenkins helpers...
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pyquickhelper has a low active ecosystem.
It has 21 star(s) with 10 fork(s). There are 4 watchers for this library.
It had no major release in the last 12 months.
There are 22 open issues and 300 have been closed. On average issues are closed in 140 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pyquickhelper is 1.12.3823
Quality
pyquickhelper has 0 bugs and 0 code smells.
Security
pyquickhelper has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pyquickhelper code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pyquickhelper is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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pyquickhelper releases are not available. You will need to build from source code and install.
It has 81381 lines of code, 3225 functions and 639 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of pyquickhelper
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of pyquickhelper
pyquickhelper Key Features
No Key Features are available at this moment for pyquickhelper.
pyquickhelper Examples and Code Snippets
No Code Snippets are available at this moment for pyquickhelper.
Community Discussions
Trending Discussions on pyquickhelper
QUESTION
Usage of LSTM/GRU and Flatten throws dimensional incompatibility error
Asked 2020-Sep-15 at 20:26
I want to make use of a promising NN I found at towardsdatascience for my case study.
The data shapes I have are:
...ANSWER
Answered 2020-Aug-17 at 18:14I cannot reproduce your error, check if the following code works for you:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyquickhelper
You can download it from GitHub.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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