streamcpy: The Stream Api in Python
Streamcpy can provide an approach of processing the data in a high-effenciency way. Like in Java, you can use stream-like methods (map, filter, for_each and so on) to do parrallel calculation and lazy calculation, which can accelerating your programs. What’s more, The package is implemented in pure C, which means its runtime speed is even higher!
Currently, the methods bellow is implemented.
☒ filter
☒ map
☒ for_each
☒ collect
☒ distinct
☒ limit
☒ reduce
☒ sorted
☒ max/min
☒ count
☒ any_match/all_match
Installation
(Not Uploaded yet)
Usage
Like Stream Api in Java but slightly different in details
from streampy import *
Stream.of([1, 2, 3])
.map(lambda x: x * x)
.for_each(lambda x: print(x))
This api supports various Iterable object in Python, like list, tuple and generator. As a result, you can call it in these ways:
from streampy import *
Stream.of((1, 2, 3))
.map(lambda x: x * x)
.for_each(lambda x: print(x))
# OR
def gen():
l = [1, 2, 3]
for i in l:
yield i
g = gen()
Stream.of(g)
.map(lambda x: x * x)
.for_each(lambda x: print(x))
# OR
Stream.of(open("foo.txt", 'r'))
.map(lambda x: x * x)
.for_each(lambda x: print(x))
Contribution
Welcome to contribute to the project. The project is written in C. If you cannot understand Python’s C API, you can refer to the code in python package. It is the streamcpy implemented in python but will not be packed in the package. Here is the detailed description for each directory or file:
benchmark: a roughly comparison between Python and C++ (Python wins)
build: the built file of the package (.pyd for Windows and .so for Linux or Mac)
modules: the source code for streamcpy in C
python: the source code for streamcpy in python and only for reference
vs: the project files for Visual Studio
setup.py: the setup file for python
streamcpy.c: the entrance file for streamcpy package
streamcpy.pyi: the .pyi file for streamcpy package
Build on Windows
Download and install the latest Visual Studio
Install Python Development workload. The workload includes the Python native development tools, which bring in the C++ workload and toolsets that are necessary for native extensions
Install Desktop Development with C++ workload. It comes with the default core editor, which includes basic code editing support for C/C++
Double-click the .vcxproj in vs folder and build the .sln file
Run the project!
Build on Linux/Mac
Download the Python interpreter from the offcial website
Download the gcc(>7.5.0)
Run the command below for building
python setup.py build
Run the command below for installing
python setup.py install
NOTE: The method is also suitable for Windows if Visual Studio or Visual Studio Build Tools installed.
Metadata
Release files for streamcpy 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| streamcpy-1.0.1.tar.gz | 15.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| streamcpy-1.0.1-cp39-cp39-win_amd64.whl | CPython 3.9 | CPython 3.9 | Windows x86-64 | Details |
Total release size: 41.1 kB
Release files / streamcpy-1.0.1.tar.gz
| Download URL | streamcpy-1.0.1.tar.gz |
|---|---|
| Size | 15.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
06e40bacee5c7062543ca39e4a055b82decbaed06a323f7ab47f2cbeb3f5badb
|
|
BLAKE2b-256 checksum How to use checksums |
14b0e141f62b817af59c3087bf43e54359549339d30240e60b8803db009c7428
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
|
Release files / streamcpy-1.0.1-cp39-cp39-win_amd64.whl
| Download URL | streamcpy-1.0.1-cp39-cp39-win_amd64.whl |
|---|---|
| Size | 25.5 kB |
| Tags | CPython 3.9 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
8c1f597ab000f7a910af58c6db1a96afdd10bacaba12ac90d9525b3f28dcb949
|
|
BLAKE2b-256 checksum How to use checksums |
fa33b4c2885b17f61b4e6164d73942aaae7e015c06c8657050a4b1ed92b8df6f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
|
Security for streamcpy 1.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.