PythonTrainingExercises | Code to exercise your Python knowledge

by man-group Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | PythonTrainingExercises Summary

PythonTrainingExercises is a Python library. PythonTrainingExercises has no vulnerabilities, it has a Permissive License and it has low support. However PythonTrainingExercises has 3 bugs and it build file is not available. You can download it from GitHub.

Code to exercise your Python knowledge.

Support

Quality

Security

License

Reuse

Support

PythonTrainingExercises has a low active ecosystem.

It has 236 star(s) with 120 fork(s). There are 40 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 1721 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PythonTrainingExercises is current.

Quality

PythonTrainingExercises has 3 bugs (2 blocker, 0 critical, 1 major, 0 minor) and 169 code smells.

Security

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

PythonTrainingExercises code analysis shows 0 unresolved vulnerabilities.

There are 9 security hotspots that need review.

License

PythonTrainingExercises is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

PythonTrainingExercises has no build file. You will be need to create the build yourself to build the component from source.

PythonTrainingExercises saves you 3205 person hours of effort in developing the same functionality from scratch.

It has 6890 lines of code, 359 functions and 103 files.

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

Top functions reviewed by kandi - BETA

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

A helper function that calls a function
Random c
A context manager
Test for business days
Return business days
Convert a test list to a sequence
Convert a list to a sequence
Test for the test case
Read a csv file
Test for duplicate files
Return a list of duplicate files
Test if the rotation is left
Test whether the rotation is right
Test if the rotation is empty
Test whether the argument is a valid value
Test whether the peak to the right
Test if the first sign
Tests if there is more than miles to miles
Test if argument is length 4
Test if two values are the same
Test the first N
Test for bad network data
Test if the transpose is non equal length
Write n words
Test that the transpose of the matrix is correct
Try to guess the next actor

Get all kandi verified functions for this library.

PythonTrainingExercises Key Features

No Key Features are available at this moment for PythonTrainingExercises.

PythonTrainingExercises Examples and Code Snippets

No Code Snippets are available at this moment for PythonTrainingExercises.

Community Discussions

No Community Discussions are available at this moment for PythonTrainingExercises.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install PythonTrainingExercises

You can download it from GitHub.
You can use PythonTrainingExercises 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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