ThinkingInPython | Insights , Idioms and Patterns

by BruceEckel Python Version: Current License: No License

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

kandi X-RAY | ThinkingInPython Summary

ThinkingInPython is a Python library. ThinkingInPython has no vulnerabilities and it has low support. However ThinkingInPython has 12 bugs and it build file is not available. You can download it from GitHub.

Insights, Idioms and Patterns (Python 3)

Support

Quality

Security

License

Reuse

Support

ThinkingInPython has a low active ecosystem.

It has 83 star(s) with 21 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 4 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ThinkingInPython is current.

Quality

ThinkingInPython has 12 bugs (8 blocker, 0 critical, 4 major, 0 minor) and 411 code smells.

Security

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

ThinkingInPython code analysis shows 0 unresolved vulnerabilities.

There are 18 security hotspots that need review.

License

ThinkingInPython does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

ThinkingInPython saves you 1926 person hours of effort in developing the same functionality from scratch.

It has 4242 lines of code, 705 functions and 254 files.

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

Top functions reviewed by kandi - BETA

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

Update language code
Return True if the two lists are the same
Check the content of a given language
Post conversion
Adjust list listing
Given a list of lines and a list of lines and a list of lists adjust each line
Synchronize methods
Decorator for synchronizing methods
Open the background box
Creates a box
Remove a directory
Displays a listing of all available subtitles
Generate a random shape name
Convert rst to pre
Returns true if arg is one
Displays the display
Run the script
Changes the neighbor of a mouse button
Create a shape by id
Returns shape
Returns true if arg is a single return
The function
Extract files from a given language
Updates the tracked observers
This function is called when the function is called
Calls f

Get all kandi verified functions for this library.

ThinkingInPython Key Features

No Key Features are available at this moment for ThinkingInPython.

ThinkingInPython Examples and Code Snippets

Deserialize a Keras object .

python

Lines of Code : 116

License : Non-SPDX (Apache License 2.0)

Copy

def deserialize_keras_object(identifier,
                             module_objects=None,
                             custom_objects=None,
                             printable_module_name='object'):
  """Turns the serialized form of a Keras objec

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install ThinkingInPython

You can download it from GitHub.
You can use ThinkingInPython 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 .

Find more information at: