pyensae | Helpers for teaching materials in python at the ENSAE | Learning library

by sdpython Python Version: 1.3.967 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pyensae Summary

pyensae is a Python library typically used in Tutorial, Learning applications. pyensae has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyensae has a Non-SPDX License. You can install using 'pip install pyensae' or download it from GitHub, PyPI.

Helpers for teaching materials in python at the ENSAE

Support

Quality

Security

License

Reuse

Support

pyensae has a low active ecosystem.

It has 19 star(s) with 20 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 31 have been closed. On average issues are closed in 52 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyensae is 1.3.967

Quality

pyensae has 0 bugs and 0 code smells.

Security

pyensae has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyensae code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyensae has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

pyensae releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

pyensae saves you 47011 person hours of effort in developing the same functionality from scratch.

It has 55041 lines of code, 6916 functions and 145 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pyensae and discovered the below as its top functions. This is intended to give you an instant insight into pyensae implemented functionality, and help decide if they suit your requirements.

Parse preprocessor directive
Parse preprocessor expression
Returns True if all conditions are met
Parse directive_new
Fills the table with the given objects
Check that the connection is used
Commit the database
Execute a SQL query
Plot a maprance polygon
Plot a map of faultrance
Process newline action
Parse stream
Build a where clause
Parse simple function invocation
Parse a simple SELECT statement
Parse a file - like object
Parse class base
Parse VariantType parameter list
Plot therance of a map
Recursive SELECT statement
Exports a table into a flat file
Count the number of rejected lines
Returns a list of Frenchdepments
Parse a window function invocations
Parse enum body
Aggregate function invocations
Parse compound select statement

Get all kandi verified functions for this library.

pyensae Key Features

No Key Features are available at this moment for pyensae.

pyensae Examples and Code Snippets

No Code Snippets are available at this moment for pyensae.

Community Discussions

Trending Discussions on pyensae

Usage of LSTM/GRU and Flatten throws dimensional incompatibility error

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 18:14

I cannot reproduce your error, check if the following code works for you:

Source https://stackoverflow.com/questions/63455257

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyensae

You can install using 'pip install pyensae' or download it from GitHub, PyPI.
You can use pyensae like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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