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numpy download

4.6
(18)

NumPy is the fundamental package for scientific computing with Python.

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Showing 18 numpy download reviews
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numpy download review by Joshua D.
Joshua D.
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"Incredibly versatile Python Library"

What do you like best?

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?

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 business problems are you solving with the product? What benefits have you realized?

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.

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numpy download review by Ajay S.
Ajay S.
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"Numpy is not just efficient, it is convenient also"

What do you like best?

- 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?

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 business problems are you solving with the product? What benefits have you realized?

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.

What Python Package solution do you use?

Thanks for letting us know!
numpy download review by Abhishek P.
Abhishek P.
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"Numpy best for scientific computing with Python"

What do you like best?

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?

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 the product

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 business problems are you solving with the product? What benefits have you realized?

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 review by Sudhakar D.
Sudhakar D.
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"Perfect package for doing array computation"

What do you like best?

Its easier to import the package and use the various functionalty for manipulating the array. Can do N-dimensional array very easily.

What do you dislike?

Using numpy restricts you to CPython or sometimes PyPy

Recommendations to others considering the product

using numpy restricts you to CPython or sometimes PyPy (hopefully in the future that "sometimes" will become "almost always", but it's not quite there as of 2014); if your code would run faster in Jython or IronPython or non-NumPyPy PyPy, that could be a good reason to stick with lists.

What business problems are you solving with the product? What benefits have you realized?

We use various python modules for doing data analysis of business data for our client. Numpy plays import role for doing data processing and ploting business data.

numpy download review by User in Information Technology and Services
User in Information Technology and Services
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"Great Package"

What do you like best?

I love the numpy download because it allows me to add in unique graphics for clients. I am constantly using the download to rearrange arrays into multidimensional arrays. The package is VERY easy to use and I use it while coding with Python. I like that the package makes it very easy to set up data frames. I love using it for machine learning purposes as well as data science. Machine learning can get very complicated so numpys makes it a lot easier.

What do you dislike?

There is not much that i dislike about numpy. I wish that maybe it could be built into some programming languages because it is so useful. Another disadvantage to numpy is that, it is also easier to vectorize an operation if you write your own array in python instead of through numpy.

Recommendations to others considering the product

Absolutely.

What business problems are you solving with the product? What benefits have you realized?

I use the numpy package at work everyday. I am in the marketing field and we use the package to create data frames from huge data sets and then manipulate those data set in order to find trends in the numbers. We heavily use numpy when it comes to machine learning and data science. The benefits of numpy are incredible. It makes it so much easier to not only view the data, but it is so much easier to create the data frames themselves. Using the numpy arrays makes it so much more efficient to combine and divide the data.

numpy download review by User
User
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"Powerful arrays for data management in python"

What do you like best?

Numpy is one of the most important libraries for the data scientist. The main structure of numpy, the numpy arrays, are the most common structure when using most data science libraries in python (for instance scipy, sklearn, etc). Once you get used to numpy arrays, you can see how fast is to do operations with them.

I like how numpy arrays allow to reduce cpu time by only changing ordinary arrays by numpy arrays. With few data you can reduce a lot of cpu time, so with a significant amount of data, you can obtain a considerable reduction of time.

What do you dislike?

I do not like that you have to change the usual way of using arrays. Instead, you have to learn how to create numpy arrays and do operations in a new way. It is quite easy to use numpy arrays, but you have to learn how to use them and forget the regular use of arrays.

Recommendations to others considering the product

You need to read tutorials about how to create and manage numpy arrays. This is because these arrays must be used in a different way to common arrays.

What business problems are you solving with the product? What benefits have you realized?

I have to use numpy arrays as input to operations from other libraries. This is because numpy arrays are the most common structure for several libraries. Then, I have to convert all my data to numpy arrays.

If you compare the cpu time of operating with common arrays, or common lists, against numpy arrays, you will see the numpy arrays are quite efficient and fast.

numpy download review by User in Defense & Space
User in Defense & Space
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"An essential for data"

What do you like best?

Numpy is so essential that most third-party libraries nearly require you to use it to use their libraries. It's ingrained into the Python community and has a ton of online support. The library is easy to use and you can use the product of the API in a number of other libraries.

What do you dislike?

I'm still new to using it, and it can be a bit daunting to learn.

Recommendations to others considering the product

Read the documentation when you're confused. Most third-party libraries will have suggested implementations that work very well, and otherwise documentation or StackOverflow can help with custom implementations separated from other libraries.

What business problems are you solving with the product? What benefits have you realized?

I'm able to work with data and use it in other libraries that would be unusable otherwise. It makes transforming the data within Python easy and less time consuming.

numpy download review by daniel a.
daniel a.
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"easy to use"

What do you like best?

how easy it is to manipulate arrays and turn data into matrixs to use for tensorflow

What do you dislike?

there arent any good indexing function for arrays

What business problems are you solving with the product? What benefits have you realized?

bioinformatics research easy to sort data

numpy download review by Syed I.
Syed I.
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"Greater result for array manipulation"

What do you like best?

We can perform any types of operation in array using numpy

What do you dislike?

Sometimes if we done array manipulation the results are getting collapsed

What business problems are you solving with the product? What benefits have you realized?

Array Manipulation for building code

numpy download review by User
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"Great for modeling rasters"

What do you like best?

I use numpy for modeling in python, it works great for large raster datasets, also it is free

What do you dislike?

of course you have to learn to code, but once you get the syntax correct numpy makes python easier

What business problems are you solving with the product? What benefits have you realized?

I'm modeling marsh change overtime in relation to sea level rise, and numpy was essential for the code

numpy download review by Dim Y.
Dim Y.
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"very good for data analysis"

What do you like best?

The multi functionality and flexibility of the package, also the ingration with pythin is excellent

What do you dislike?

that is is not more flexible with the data formats it accepts. Other packages are needed to open specific data files.

What business problems are you solving with the product? What benefits have you realized?

Data analysis and real life data sampling, storage and statistics

numpy download review by Monica M.
Monica M.
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"NumPy - Review"

What do you like best?

Allows you to scientifically compute on Python.

What do you dislike?

Array processing abilities are not as strong as those in programs such as MatLab.

What business problems are you solving with the product? What benefits have you realized?

This package was used to perform calculations in the Python programs that were created. It serves as the fundamental package for scientific computing in Python.

numpy download review by User
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"Awesome for data science"

What do you like best?

Numpy allows me to effortlessly handle data in python. The matrix functionality is very useful.

What do you dislike?

I do not dislike anything. The package is very easy to use for programmers.

What business problems are you solving with the product? What benefits have you realized?

Easy data manipulation and transformation.

numpy download review by User
User
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"The go-to Python package for any complex computation"

What do you like best?

It is almost impossible to imagine Python without NumPy. It provides a host of different functions that can be used to maintain and manipulate multi-dimensional arrays and work with various other libraries.

What do you dislike?

Nothing really. An additional installation is required.

What business problems are you solving with the product? What benefits have you realized?

It has helpful functions and can be used to handle higher dimensional arrays (commonly used in imaging), which eases up a lot of the processes and aids in interpretability.

numpy download review by Consultant in Computer Software
Consultant in Computer Software
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"Best and fasted way to get stuff done"

What do you like best?

Complete modularity with all the mathematical tools

What do you dislike?

Even though the "broadcasting" feature is pretty useful with matrix operations, it gets annoying sometimes.

Recommendations to others considering the product

Use numpy as much as possible. Especially for the MATLAB users, this is a comfortable and completely worth switch.

What business problems are you solving with the product? What benefits have you realized?

Preprocessing and extracting data, All the mathematical manipulations to solve problems in linear algebra and probability.

numpy download review by User
User
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"Standard Python download for data-related tasks"

What do you like best?

Good for linear algebra calculations, good to use with the pandas package and for plotting things with matplotlib.

What do you dislike?

The syntax gets confusing sometimes since it's different from Python's inherent syntax and pandas'.

What business problems are you solving with the product? What benefits have you realized?

I use numpy for machine learning and natural language processing.

numpy download review by User in Aviation & Aerospace
User in Aviation & Aerospace
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"Powerful once you learn it"

What do you like best?

Lots of powerful tools. A great extension of traditional lists and dictionaries.

What do you dislike?

I but of a learning curve to overcome. Especially not coming from a Matlab bacground

What business problems are you solving with the product? What benefits have you realized?

Fluid flow modeling in Python

numpy download review by User in Investment Banking
User in Investment Banking
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"Numpy review"

What do you like best?

Numpy the best numeric library. I cant think of a day i havent used numpy

What do you dislike?

Nothing in particular. Its a great software

What business problems are you solving with the product? What benefits have you realized?

I have used numpy with pandas and scipy

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