Search Results for "numpy python 2.7"
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Showing 11 open source projects for "numpy python 2.7"
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1
Awkward Array
Manipulate JSON-like data with NumPy-like idioms
Awkward Array is a library for nested, variable-sized data, including arbitrary-length lists, records, mixed types, and missing data, using NumPy-like idioms. Arrays are dynamically typed, but operations on them are compiled and fast. Their behavior coincides with NumPy when array dimensions are regular and generalizes when they're not. -
2
simplejson
simplejson is a simple, fast, extensible JSON encoder/decoder
... Python 2.5 - Python 2.7 releases. The encoder can be specialized to provide serialization in any kind of situation, without any special support by the objects to be serialized (somewhat like pickle). This is best done with the default kwarg to dumps. -
3
autopep8
A tool that automatically formats Python code to conform to the PEP 8
autopep8 automatically formats Python code to conform to the PEP 8 style guide. It uses the pycodestyle utility to determine what parts of the code need to be formatted. autopep8 is capable of fixing most of the formatting issues that can be reported by pycodestyle. Correct deprecated or non-idiomatic Python code (via lib2to3). Use this for making Python 2.7 code more compatible with Python 3. Put a blank line between a class docstring and its first method declaration. Remove blank lines... -
4
pytablewriter
pytablewriter is a Python library to write a table in various formats
pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV / YAML. -
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5
asammdf
Fast Python reader and editor for ASAM MDF / MF4 (Measurement Format)
*asammdf* is a fast Python parser and editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF / MF4 (Measurement Data Format) files. It supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4). *asammdf* works on Python 2.7, and Python >= 3.4 -
6
pylatexenc
Simple LaTeX parser providing latex-to-unicode and unicode-to-latex
Simple LaTeX parser providing latex-to-unicode and unicode-to-latex conversion. Python 3.4 or 2.7. The library is designed to be as backward-compatible as reasonably possible and is able to run on old Python versions should it be necessary. (Use the setup.py script directly if you have Python 3.7, poetry doesn't seem to work with old Python versions.) The pylatexenc.latexencode module provides a function unicode_to_latex() which converts a Unicode string into LaTeX text and escape sequences... -
7
arxiv-collector
Little Python script to collect LaTeX sources for upload to the arXiv
A little Python script to collect LaTeX sources for upload to the arXiv. Install with pip install arxiv-collector or conda install -c conda-forge arxiv-collector, or just download arxiv_collector.py, it's a stand-alone script with no dependencies. Works with any reasonable version of Python 3, or 2.7 if you really must. -
8
xml2mif
Tool for import Rosreestr XML files
Средство обработки файлов XML Росреестра (кадастровый план территории, кадастровая выписка об объекте недвижимости). По результатам обработки формируется пакет файлов mid/mif для последующего импорта в GIS MapInfo. Поддерживается одновременная обработка большого количества файлов XML. Для работы требует установки в системе интерпретатора Python 2.7 (можно взять отсюда: https://www.python.org/ftp/python/2.7.9/python-2.7.9.msi https://www.python.org/ftp/python/2.7.9/python-2.7.9.amd64.msi... -
9
Easy Equations
Hand Written Equation Creator
Easy Equations is a utility using which one can write the mathematical equations. The focus of this utility is to provide user friendly access to write mathematical equations which is helpful for students, lecturers, mathematicians and Research persons who prefer using mathematical equations in a document, PowerPoint or web sites. Works on Windows as well as Linux platforms. Software Requirements: JDK 7 or higher. Linux Platform with kernel version 2.7 or higher.(for Linux users).python... -
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10
orjson
Fast, correct Python JSON library supporting dataclasses, datetimes
orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively. orjson supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12. It distributes amd64/x86_64, aarch64/armv8, arm7, POWER/ppc64le, and s390x wheels for Linux, amd64 and aarch64 wheels for macOS, and amd64 and i686/x86 wheels for Windows. orjson does... -
11
PySimpleTable
Lightweight Python 2D table object with column headers
For 2D data objects in Python, you have 3 main options: - Numpy Array - Pandas DataFrame (built on np.array) - SQL table Numpy and Pandas are great for working with a complete set of data, but not very efficient for building up row by row. SQL is good for building up the object row by row, but you have to write SQL and leave the world of Python objects. PySimpleTable tries to find the middle ground with more flexibility than Numpy or Pandas for incrementally building a 2D object without...
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