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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

Openpyxl is a Python library designed for reading and writing Excel 2010 files in formats such as xlsx, xlsm, xltx, and xltm. The library was developed due to the absence of a native solution for handling Office Open XML files in Python, and it owes its origins to the PHPExcel project. It is important to note that openpyxl does not provide protection against certain vulnerabilities like quadratic blowup or billion laughs XML attacks by default, but these risks can be mitigated by installing the defusedxml library. To install openpyxl, you can use pip, and it's recommended to perform this installation within a Python virtual environment to avoid conflicts with system packages. In some instances, you may want to work with a specific version of the library, especially if there are fixes that have not yet been released officially. Fortunately, you do not need to create an actual file on your filesystem to begin using openpyxl; simply import the Workbook class and begin your tasks. When you create sheets, they are automatically assigned names, and once you rename a worksheet, you can access it using the corresponding key from the workbook. This ease of use makes openpyxl a popular choice for many Python developers working with Excel files.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

3LC Yes 
Avanzai Yes 
Codédex Yes 
Coiled Yes 
Cython Yes 
Dash Yes 
Flower Yes 
Gensim Yes 
JAX Yes 
MPI for Python (mpi4py) Yes 
Microsoft Excel No 
NVIDIA FLARE Yes 
PyCharm Yes 
Spyder Yes 
Train in Data Yes 
Unify AI Yes 
Visual Studio Code Yes 
Yamak.ai Yes 
Yandex Data Proc Yes 
scikit-learn Yes 

Integrations

3LC No 
Avanzai No 
Codédex No 
Coiled No 
Cython No 
Dash No 
Flower No 
Gensim No 
JAX No 
MPI for Python (mpi4py) No 
Microsoft Excel Yes 
NVIDIA FLARE No 
PyCharm No 
Spyder No 
Train in Data No 
Unify AI No 
Visual Studio Code No 
Yamak.ai No 
Yandex Data Proc 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 No 
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

openpyxl

Founded

2022

Website

openpyxl.readthedocs.io/en/stable/

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Product Features

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