(guix-science-nonfree packages machine-learning)Tensorboard is a visualization toolkit for TensorFlow, designed to provide metrics tracking, model visualization, and performance analysis. It allows users to generate interactive dashboards for monitoring training progress, visualizing computational graphs, and analyzing data distributions.
python-bisect-demo square.py squares a number you give it. But it's broken with negative numbers! I know I checked this with the first version I wrote. When did I break it?
Setuptools is a fully-featured, stable library designed to facilitate packaging Python projects, where packaging includes:
Python package and module definitions
distribution package metadata
test hooks
project installation
platform-specific details.
Plotly's Python graphing library makes interactive, publication-quality graphs online. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts.
The concept of the pvextractor package is simple - given a path defined in sky coordinates, and a spectral cube, extract a slice of the cube along that path, and along the spectral axis, producing a position-velocity or position-frequency slice.
PyXLWriter is a Python library for generating Excel compatible spreadsheets. It's a port of John McNamara's Perl Spreadsheet::WriteExcel module version 1.01 to Python. It allows writing of Excel compatible spreadsheets without the need for COM objects.
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).
This package includes WrapSpawner and ProfilesSpawner, which provide mechanisms for runtime configuration of spawners. The inspiration for their development was to allow users to select from a range of pre-defined batch job profiles, but their operation is completely generic.
argcomplete provides extensible command line tab completion of arguments and options for Python scripts using argparse. It's particularly useful for programs with many options or sub-parsers that can dynamically suggest completions ; for example, when browsing resources over the network.
MySQLdb is an interface to the popular MySQL database server for Python. The design goals are:
Compliance with Python database API version 2.0 [PEP-0249],
Thread-safety,
Thread-friendliness (threads will not block each other).
NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.
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.
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.
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.
MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors.
mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point and collective communications of any picklable Python object as well as optimized communications of Python objects (such as NumPy arrays) that expose a buffer interface.
Batch-oriented version of WebQTL. It requires, as input, expression data from members of a set of recombinant inbred lines and genotype information for the same lines. It searches for an association between each expression trait and all genotypes and evaluates that association by a permutation test. For the permutation test, it performs only as many permutations as are necessary to define the empirical P-value to a reasonable precision. It also performs bootstrap resampling to estimate the confidence region for the location of a putative QTL.
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.
Python subprocess32.