transducers-python | Transducers are composable algorithmic transformations
kandi X-RAY | transducers-python Summary
kandi X-RAY | transducers-python Summary
transducers-python is a Python library. transducers-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Transducers are composable algorithmic transformations. They are independent from the context of their input and output sources and specify only the essence of the transformation in terms of an individual element. Because transducers are decoupled from input or output sources, they can be used in many different processes - collections, streams, channels, observables, etc. Transducers compose directly, without awareness of input or creation of intermediate aggregates. In Python you can transduce anything you can iterate over (the implementation of reduce included uses a for loop). This includes generators and coroutines in addition to the vast majority of Python collections. See below for an example of transducing over a generator. For more information about Clojure transducers and transducer semantics see the introductory blog post and this video. transducers-python is brought to you by Cognitect Labs.
Transducers are composable algorithmic transformations. They are independent from the context of their input and output sources and specify only the essence of the transformation in terms of an individual element. Because transducers are decoupled from input or output sources, they can be used in many different processes - collections, streams, channels, observables, etc. Transducers compose directly, without awareness of input or creation of intermediate aggregates. In Python you can transduce anything you can iterate over (the implementation of reduce included uses a for loop). This includes generators and coroutines in addition to the vast majority of Python collections. See below for an example of transducing over a generator. For more information about Clojure transducers and transducer semantics see the introductory blog post and this video. transducers-python is brought to you by Cognitect Labs.
Support
Quality
Security
License
Reuse
Support
transducers-python has a low active ecosystem.
It has 188 star(s) with 5 fork(s). There are 30 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 1308 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of transducers-python is current.
Quality
transducers-python has 0 bugs and 0 code smells.
Security
transducers-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
transducers-python code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
transducers-python is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
transducers-python releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
transducers-python saves you 306 person hours of effort in developing the same functionality from scratch.
It has 737 lines of code, 139 functions and 8 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed transducers-python and discovered the below as its top functions. This is intended to give you an instant insight into transducers-python implemented functionality, and help decide if they suit your requirements.
- Return a partition by a predicate function
- Append x to the list
- Return the reduced value
- Create a transducer
- Apply a function to each item in iterable
- Apply a function to a function over a collection
- Map a function f together
- Compose functions together
- Returns a function that applies a function to each element
- Creates a function that takes n steps
- Ensure x is reduced
- Create a partition of all elements
Get all kandi verified functions for this library.
transducers-python Key Features
No Key Features are available at this moment for transducers-python.
transducers-python Examples and Code Snippets
No Code Snippets are available at this moment for transducers-python.
Community Discussions
No Community Discussions are available at this moment for transducers-python.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install transducers-python
You can download it from GitHub.
You can use transducers-python 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.
You can use transducers-python 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
API documentation can be found here.
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
