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NumPy
NumPy

460
358
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3
SciPy
SciPy

78
45
+ 1
0
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NumPy vs SciPy: What are the differences?

NumPy: Fundamental package for scientific computing with Python. Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases; SciPy: Scientific Computing Tools for Python. Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.

NumPy and SciPy can be primarily classified as "Data Science" tools.

NumPy and SciPy are both open source tools. It seems that NumPy with 11.1K GitHub stars and 3.67K forks on GitHub has more adoption than SciPy with 6.01K GitHub stars and 2.85K GitHub forks.

According to the StackShare community, NumPy has a broader approval, being mentioned in 63 company stacks & 34 developers stacks; compared to SciPy, which is listed in 12 company stacks and 4 developer stacks.

What is NumPy?

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

What is SciPy?

Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
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        What tools integrate with NumPy?
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          What are some alternatives to NumPy and SciPy?
          MATLAB
          Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
          Pandas
          Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
          R Language
          R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
          Panda
          Panda is a cloud-based platform that provides video and audio encoding infrastructure. It features lightning fast encoding, and broad support for a huge number of video and audio codecs. You can upload to Panda either from your own web application using our REST API, or by utilizing our easy to use web interface.<br>
          Anaconda
          A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
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          Decisions about NumPy and SciPy
          No stack decisions found
          Interest over time
          Reviews of NumPy and SciPy
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          How developers use NumPy and SciPy
          Avatar of Vital Labs, Inc.
          Vital Labs, Inc. uses NumPyNumPy

          We utilize NumPy, SciPy, Pandas, and iPython Notebooks to power our analysis and analytics tools.

          Avatar of Eliana Abraham
          Eliana Abraham uses NumPyNumPy

          EECS 445 and All of Linear Algebra

          Nuff said

          Avatar of GadgetSteve
          GadgetSteve uses NumPyNumPy

          Fast Numeric Processing

          Avatar of Nough You
          Nough You uses NumPyNumPy

          Fast array operations.

          Avatar of BobStein
          BobStein uses NumPyNumPy

          big data analysis

          How much does NumPy cost?
          How much does SciPy cost?
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