FFCx is a compiler for finite element variational forms. From a high-level description of the form in the Unified Form Language (UFL), it generates efficient low-level C code that can be used to assemble the corresponding discrete operator (tensor).
Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits.
Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It’s based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow.
Fief is an open-source platform to manage users and authentication in your applications.
Key features:
Pre-built login and registration pages
Users management dashboard
SDK for the most popular languages and frameworks
Integrations for the most popular no-code tools
Kiwi is an efficient C++ implementation of the Cassowary constraint solving algorithm. Kiwi has been designed from the ground up to be lightweight and fast. Kiwi ranges from 10x to 500x faster than the original Cassowary solver with typical use cases gaining a 40x improvement. Memory savings are consistently > 5x.
ScientificPython is a collection of Python modules that are useful for scientific computing. Most modules are rather general (Geometry, physical units, automatic derivatives, ...) whereas others are more domain-specific (e.g. netCDF and PDB support). The library is currently not actively maintained and works only with Python 2 and NumPy < 1.9.
This package provides a set of sparse matrix solvers used in geoscience.
All solvers work with scipy.sparse matricies, and a single or multiple right hand sides using numpy:
L/U Triangular Solves
Wrapping of SciPy matrix solvers (direct and indirect)
Pardiso solvers now that MKL comes with conda!
Mumps solver with nice error messages
Table logger using Rich, aimed at PyTorch Lightning logging.
Features
display your training logs with pretty rich tables
describe your fields with goal, format and name
a field descriptor can be matched with any regex
a field name can be computed as a regex substitution
works in Jupyter notebooks as well as in a command line
integrates easily with Pytorch Lightning
FFCx is a compiler for finite element variational forms.
From a high-level description of the form in the UFL, it generates efficient low-level C code that can be used to assemble the corresponding discrete operator (tensor). In particular, a bilinear form may be assembled into a matrix and a linear form may be assembled into a vector.
This package provides the CLI and Python library.
Advanced Python Scheduler (APScheduler) is a Python library that lets you schedule your Python code to be executed later, either just once or periodically.
You can add new jobs or remove old ones on the fly as you please. If you store your jobs in a database, they will also survive scheduler restarts and maintain their state. When the scheduler is restarted, it will then run all the jobs it should have run while it was offline.
Fiona is GDAL’s neat and nimble vector API for Python programmers. Fiona is designed to be simple and dependable. It focuses on reading and writing data in standard Python IO style and relies upon familiar Python types and protocols such as files, dictionaries, mappings, and iterators instead of classes specific to OGR. Fiona can read and write real-world data using multi-layered GIS formats and zipped virtual file systems and integrates readily with other Python GIS packages such as pyproj, Rtree, and Shapely.
The pyjson-tricks package brings several pieces of functionality to python handling of JSON files:
Store and load numpy arrays in human-readable format.
Store and load class instances both generic and customized.
Store and load date/times as a dictionary (including timezone).
Preserve map order using OrderedDict.
Allow for comments in json files by starting lines with #.
Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, pathlib Paths, bytes, ...
As well as compression and disallowing duplicate keys.
TensorStore is a C++ and Python software library designed for storage and manipulation of large multi-dimensional arrays that:
Provides advanced, fully composable indexing operations and virtual views.
Provides a uniform API for reading and writing multiple array formats, including zarr and N5.
Natively supports multiple storage systems, such as local and network filesystems, Google Cloud Storage, Amazon S3-compatible object stores, HTTP servers, and in-memory storage.
Offers an asynchronous API to enable high-throughput access even to high-latency remote storage.
Supports read caching and transactions, with strong atomicity, isolation, consistency, and durability (ACID) guarantees.
Supports safe, efficient access from multiple processes and machines via optimistic concurrency.
Work with the AWS IP address ranges in native Python published in https://ip-ranges.amazonaws.com/ip-ranges.json.
Features
Work with the AWS IP prefixes as a simple AWSIPPrefixes collection
Quickly check if an IP address, interface, or network is contained in the AWS IP address ranges
Get the AWS IP prefix that contains an IP address, interface, or network
See what services are served from an IP prefix
Filter the AWS IP prefixes by region, network border group, service, and IP prefix version
Use the AWS prefix data in your app or automation scripts in the format required by your infrastructure
Easily validate the TLS certificate presented by the IP ranges server
awsipranges has no third-party dependencies and is compatible with CPython v3.7+
This package provides a serialization and RPC framework.
This package provides a Python SDK for OBS Studio WebSocket v5.0.
Mypy stubs for Django.
RFC 3676 format=flowed text processing
Shared Zope Toolkit browser components
Cython build hooks for hatch.
Get yes/no-like words.
Documentation at https://melpa.org/#/python-pytest
Documentation at https://melpa.org/#/python-django
This pakage provides runtime validators for attrs.