Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Fast and adaptable, the concepts of vectorization, indexing, and broadcasting in NumPy have become the benchmark for array computation in the present day. This powerful library provides an extensive array of mathematical functions, random number generators, linear algebra capabilities, Fourier transforms, and beyond. NumPy is compatible with a diverse array of hardware and computing environments, seamlessly integrating with distributed systems, GPU libraries, and sparse array frameworks. At its core, NumPy is built upon highly optimized C code, which allows users to experience the speed associated with compiled languages while enjoying the flexibility inherent to Python. The high-level syntax of NumPy makes it user-friendly and efficient for programmers across various backgrounds and skill levels. By combining the computational efficiency of languages like C and Fortran with the accessibility of Python, NumPy simplifies complex tasks, resulting in clear and elegant solutions. Ultimately, this library empowers users to tackle a wide range of numerical problems with confidence and ease.

Description

The library python-docx is designed for manipulating Microsoft Word (.docx) files using Python. In Word documents, paragraphs play a crucial role, serving not only as body text but also for headings and list items like bullets. Users can define both width and height for elements, although it is generally advisable to avoid doing so. When a single dimension is specified, python-docx automatically calculates the other dimension to maintain the aspect ratio, ensuring that images retain their intended appearance without distortion. If you are unfamiliar with Word paragraph styles, it’s worth exploring, as these styles allow you to apply a comprehensive set of formatting options to a paragraph in one go. The library enables users to create new documents or modify existing ones, and while it primarily focuses on making alterations to current documents, starting with an empty file may give the impression of building a document from the ground up. By utilizing this library, users can streamline their workflow in creating and editing Word documents effectively.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

3LC Yes 
Codédex Yes 
Coiled Yes 
Dash Yes 
Flower Yes 
Gensim Yes 
JAX Yes 
MPI for Python (mpi4py) Yes 
Microsoft Word No 
NVIDIA FLARE Yes 
PaizaCloud Yes 
PyCharm Yes 
Spyder Yes 
Train in Data Yes 
Visual Studio Code Yes 
Yamak.ai Yes 
Yandex Data Proc Yes 
h5py Yes 
imageio Yes 
scikit-learn Yes 

Integrations

3LC No 
Codédex No 
Coiled No 
Dash No 
Flower No 
Gensim No 
JAX No 
MPI for Python (mpi4py) No 
Microsoft Word Yes 
NVIDIA FLARE No 
PaizaCloud No 
PyCharm No 
Spyder No 
Train in Data No 
Visual Studio Code No 
Yamak.ai No 
Yandex Data Proc No 
h5py No 
imageio No 
scikit-learn No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

NumPy

Website

numpy.org

Vendor Details

Company Name

python-docx

Website

python-docx.readthedocs.io/en/latest/

Product Features

Product Features

Alternatives

h5py Reviews

h5py

HDF5

Alternatives

pdf2docx Reviews

pdf2docx

Artifex
Synap Office Reviews

Synap Office

Synapsoft
zope.interface Reviews

zope.interface

Python Software Foundation