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# numpy download Reviews
**Vendor:** NumFOCUS  
**Category:** [Component Libraries Software](https://www.g2.com/categories/component-libraries)  
**Average Rating:** 4.7/5.0  
**Total Reviews:** 26
## About numpy download
NumPy is the fundamental package for scientific computing with Python.




## numpy download Reviews
  ### 1. Versatile  Python library for mathematical and statistical problem

**Rating:** 5.0/5.0 stars

**Reviewed by:** Vivek  R. | Assistant Manager, Enterprise (> 1000 emp.)

**Reviewed Date:** September 07, 2024

**What do you like best about numpy download?**

Easy to sync with other libraries. Well mix of C and fortran makes it better than standard python

**What do you dislike about numpy download?**

Not optimal for multi-threading and need high storage

**What problems is numpy download solving and how is that benefiting you?**

In the interpration of mathematical data set into required data set , Easy fourier transformation and Random number generation makes it versatile

  ### 2. Best python library for numerical operations

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.)

**Reviewed Date:** September 02, 2023

**What do you like best about numpy download?**

Numpy is used for complex mathematical and numerical operations. It provides efficient calculations of arrays and matrices. Execution speed is high. Arbitrary data types can be defined in Numpy.

**What do you dislike about numpy download?**

Allocation of memory is contiguous. Insertion and deletion operations are costly due to such memory. Not suitable for larger datasets.

**What problems is numpy download solving and how is that benefiting you?**

Processing of list data is slow. So numpy array is used for faster processing. Numpy is used extensively in other useful libraries like Pandas,  scikit learn etc. Easy to download it.

  ### 3. Easy and Convenient

**Rating:** 5.0/5.0 stars

**Reviewed by:** deniz y. | Business Intelligence Manager, Enterprise (> 1000 emp.)

**Reviewed Date:** November 19, 2021

**What do you like best about numpy download?**

It's a great library for doing advanced math that helps us work with Python's multidimensional arrays and matrices. It is very easy to use. It comes with Anaconda. It can be used efficiently with data science related libraries. It facilitates processing on large datasets.

**What do you dislike about numpy download?**

Every feature is very good. Maybe the parameters can be improved or the number of ready modules can be increased.

**What problems is numpy download solving and how is that benefiting you?**

We use numpy for basic mathematical and statistical operations when building natural language processing and machine learning models.

  ### 4. Best library for mathematical processing in python

**Rating:** 5.0/5.0 stars

**Reviewed by:** Chandresh M. | System Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 08, 2021

**What do you like best about numpy download?**

The best thing about NumPy is its array implementation. I can implement 1D, 2D and more dimensions of the array. I can also change the data type of array. I can use NumPy for Image Processing. It is a very fast library for mathematical operations.

**What do you dislike about numpy download?**

Because of the rich collection of functions, I have to check for documentation whenever something is required, and I don't remember it.

**Recommendations to others considering numpy download:**

I can recommend it to everyone who wants to make the program of mathematics and Image Processing.

**What problems is numpy download solving and how is that benefiting you?**

I am using NumPy for mathematical operations on matrices and Image processing.

  ### 5. The perfect library for math and many more.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Bhawin D. | Reasearch Assistant, Small-Business (50 or fewer emp.)

**Reviewed Date:** June 24, 2020

**What do you like best about numpy download?**

NumPy has so many functionality. I think the mostly used package in data science is NumPy and Pandas.

**What do you dislike about numpy download?**

I do not see any drawbacks or dislike for NumPy.

**What problems is numpy download solving and how is that benefiting you?**

I am using NumPy for many purpose. Creating 2 dimensional matrix slicing and indexing, creating data set, reshaping the data set, random numbers and many more. It has many benefits. It is the fundamental package that you need to use every time and every day.

  ### 6. The best tool to develop mathematical models and machine learning scripts

**Rating:** 5.0/5.0 stars

**Reviewed by:** Meliksah T. | Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** September 06, 2019

**What do you like best about numpy download?**

I love how it's possible to do anything that comes to mind when someone says "Math" with NumPy library. It contains so many functionality to read, manipulate, calculate, visualize data. It provides a fundamental base, almost a platform to perform everything. One can create a simple logistic regression algorithm from the scratch, or a complex deep neural network with the same tools, train it, optimize it. Nevertheless the tools Data Scientists use are already built on NumPy, for example: Pandas, Sci-kit Learn.

Not to mention it's efficient to the extreme. Since the functions exist in NumPy are half written in C and are vectorized implementations, they are tens of times faster than writing for loops in Python. Linear algebra operations are especially critical in this term since implementation of machine learning algorithms, especially neural networks need vectorized, fast implementations.

**What do you dislike about numpy download?**

There's no downsides really. NumPy can easily be the perfect library for math, therefore machine learning. The only thing I can name is that it does not have GPU support, however this is the secret of its simplicity. GPU Support would require too much compatibility which in the end would destroy NumPy's "beauty in the simplicity".

**Recommendations to others considering numpy download:**

If you have to choose between writing a "for" loop and using NumPy functions that maybe you don't even know yet one day, make sure to learn NumPy's way to solve the problem because the implementation will be much faster since it's vectorized.

**What problems is numpy download solving and how is that benefiting you?**

I am using NumPy to create artificial data when it is required. I use NumPy to slice, groupby and manipulate the data, to transpose the dataframe. I use NumPy whenever I use Sci-kit learn to train and fit machine learning models, whenever I use grid search to tune hyperparameters. I use NumPy whenever I read and write data via Pandas. I use NumPy when dealing with descriptive statistics such as mean, std, kurtosis, skewness, etc.

  ### 7. Fast, powerful library for data manipulation, matrix multiplication and all kind of computations

**Rating:** 5.0/5.0 stars

**Reviewed by:** Raghuvar P. | Big Data Developer & AWS Certified Solution Architect, Small-Business (50 or fewer emp.)

**Reviewed Date:** May 29, 2019

**What do you like best about numpy download?**

Numpy is an amazing library, the best thing I like about Numpy is it's performance. Numpy is very very faster as compared to Python lists. They have built in array data structure, which is really easy to work with and faster. In Numpy array the matrix multiplication and vector manipulation is super fast.
Overall it is best library for Machine Learning related stuff, research related work


**What do you dislike about numpy download?**

The Numpy performance is great but if you are not optimising for performance then python list are sufficient to do the work. No extra import and install the Numpy library.

**Recommendations to others considering numpy download:**

For developer where performance matters you should try Numpy I am sure you will be completely satisfied with the library. Also. for Machine learning Numpy helps a lot. 
The performance of Numpy is faster because it is built in C++ which is fast.

**What problems is numpy download solving and how is that benefiting you?**

I use Numpy extensively. I have used it in machine Learning problems, because the performance has to be fast. In neural network I have used Numpy with Keras, pandas, tensor flow because its a perfect combination for data visualisation and model creation.
Also, in data scraping I use Numpy array to store data and retrieving it.
Numpy is one of the library which I used daily.

  ### 8. Incredibly versatile Python Library

**Rating:** 5.0/5.0 stars

**Reviewed by:** Joshua D. | Assistant Marching Band Director, Small-Business (50 or fewer emp.)

**Reviewed Date:** January 19, 2019

**What do you like best about numpy download?**

I used this library in an online Python course. We didn't go too deep into NumPy, but we used it to convert images to arrays for computer vision applications. Given that NumPy was designed for scientific computation and deep learning, I'm really impressed at its versatility in other areas such as computer vision.

**What do you dislike about numpy download?**

I'm a relative newby when it comes to Python in general, but I found the documentation for NumPy somewhat opaque in its organization.

**What problems is numpy download solving and how is that benefiting you?**

As a building block, the potential for NumPy is enormous. I'm used to older languages that don't put arbitrary limits on the dimensions of arrays, an the fact that NumPy builds n-dimensional arrays into Python increases the potential of the language significantly.

  ### 9. Numpy is not just efficient, it is convenient also

**Rating:** 5.0/5.0 stars

**Reviewed by:** Ajay S. | Senior Software Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** January 21, 2019

**What do you like best about numpy download?**

- In the Numpy matrix and vector operations are efficiently implemented.
- NumPy array is faster and You get a lot built in with NumPy, FFTs, 
convolutions, fast searching, basic statistics, linear algebra, 
histograms, etc.
- I used machine learning libraries like sci-kit-learn or tensorflow use numpy arrays as input which makes the computation faster
- It supports vectorized computation
- Efficient descriptive statistics and aggregating/summarizing data
- In general, Numpy processes faster and uses less code compared to lists.

**What do you dislike about numpy download?**

I used Numpy regularly in Machine Learning problems because it is faster and efficient. But if performance is not an issue, normal Python list will do the work. Python list is efficient and easy to program. 
Also, to begin with, Numpy there is a learning curve. At the start, you might baffle about it, how to use it.
To use Numpy in Image Processing, I always find it tricky. Becaus there are lot of variables you should take into consideration.

**What problems is numpy download solving and how is that benefiting you?**

I build a recommendation system for my company. Because of the computation, I used Numpy. It surely saved my time for code also the performance went up. 
In Machine Learning problem we generally use Numpy.

  ### 10. Numpy best for scientific computing with Python

**Rating:** 4.5/5.0 stars

**Reviewed by:** Abhishek P. | Software Enginner, Enterprise (> 1000 emp.)

**Reviewed Date:** January 21, 2019

**What do you like best about numpy download?**

Numpy is one of the best libraries to deal with scientific calculation. what i feel the best in it they provide multiple function and we can say powerful to deal with big calculation and also makes thing easy to programmer. example: i fetch some data from website like quandle or NSE in CSV format and read that csv file and load that data in single list. so what if i want to change the dimension of that list. numpy provide that type of function we can change the dimension by using single function.

**What do you dislike about numpy download?**

Only cons is that if you don't have know about numpy function than facing some issue while programming.
apart from that if you are using normal IDE or python CLI than you have to download numpy library because 
these libraries not provide by python. you have to install it from yourself

**Recommendations to others considering numpy download:**

I recommend to all the guys that want to work in data science its very powerful library to deal with any data.
its provide various powerful function that makes our programming easier. its vary beneficial if you already know about various function otherwise you have to search function first that use that function in your code.
highly recommend to data scientist

**What problems is numpy download solving and how is that benefiting you?**

i fetch some data from trading website, load that data in Json format , perform some operation that want by our trading team and provide that result to trading team.


## numpy download Discussions
  - [What is numpy download used for?](https://www.g2.com/discussions/what-is-numpy-download-used-for)
  - [What can I import from Numpy?](https://www.g2.com/discussions/what-can-i-import-from-numpy)
  - [How do I download Numpy?](https://www.g2.com/discussions/how-do-i-download-numpy)
  - [What functions are in Numpy?](https://www.g2.com/discussions/what-functions-are-in-numpy)
  - [What are the features of Numpy?](https://www.g2.com/discussions/what-are-the-features-of-numpy)

- [View numpy download pricing details and edition comparison](https://www.g2.com/products/numpy-download/reviews/numpy-download-review-4640127?section=pricing&secure%5Bexpires_at%5D=2026-07-04+14%3A04%3A47+-0500&secure%5Bsession_id%5D=9699a875-e2c2-42d2-8a06-c99e67e23eb6&secure%5Btoken%5D=3eb0ff1d916d8b53c98da24fac2782d530128a4a414c3388931f2067ca4a067a&format=llm_user)

## numpy download Features
**Functionality**
- Language Contingency
- Component Library
- Unlocked Components

**Management**
- Framework Integration
- Repository Management
- Support

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