numpy.org · 4,438
NumPy is a fundamental library for scientific computing in Python. It provides support for powerful n-dimensional arrays and tools for performing numerical computations efficiently. NumPy is known for its interoperability with different programming languages and libraries, making it a versatile choice for data manipulation and analysis tasks. With a strong focus on performance and being open source, NumPy is widely used in various fields such as research, data science, machine learning, and more. The ecosystem surrounding NumPy includes case studies, documentation, learning resources, community support, news, and opportunities to contribute to the development of the library. Some of the popular projects associated with NumPy include QuTiP, PyQuil, Qiskit, PennyLane, Pandas, statsmodels, Xarray, Seaborn, SciPy, PyWavelets, python-control, HyperSpy, and Scikit-image.
numpy.org · years statistic
2001
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2 | 0 |
3 | 0 |
4 | 0 |
5 | 2 |
6 | 0 |
7 | 0 |
8 | 0 |
9 | 1 |
10 | 0 |
11 | 0 |
12 | 0 |
2002
1 | 0 |
2 | 1 |
3 | 1 |
4 | 0 |
5 | 0 |
6 | 0 |
7 | 1 |
8 | 0 |
9 | 3 |
10 | 0 |
11 | 2 |
12 | 1 |
2003
1 | 0 |
2 | 2 |
3 | 0 |
4 | 2 |
5 | 1 |
6 | 0 |
7 | 0 |
8 | 1 |
9 | 0 |
10 | 0 |
11 | 0 |
12 | 0 |
2004
1 | 0 |
2 | 1 |
3 | 0 |
4 | 1 |
5 | 0 |
6 | 3 |
7 | 1 |
8 | 0 |
9 | 1 |
10 | 0 |
11 | 0 |
12 | 1 |
2005
1 | 1 |
2 | 1 |
3 | 5 |
4 | 1 |
5 | 1 |
6 | 1 |
7 | 1 |
8 | 3 |
9 | 0 |
10 | 0 |
11 | 0 |
12 | 2 |
2006
1 | 3 |
2 | 2 |
3 | 2 |
4 | 2 |
5 | 2 |
6 | 4 |
7 | 3 |
8 | 4 |
9 | 2 |
10 | 2 |
11 | 2 |
12 | 5 |
2007
1 | 6 |
2 | 3 |
3 | 0 |
4 | 3 |
5 | 1 |
6 | 3 |
7 | 0 |
8 | 1 |
9 | 2 |
10 | 3 |
11 | 1 |
12 | 1 |
2008
1 | 1 |
2 | 1 |
3 | 1 |
4 | 1 |
5 | 3 |
6 | 1 |
7 | 2 |
8 | 6 |
9 | 1 |
10 | 1 |
11 | 0 |
12 | 2 |
2009
1 | 1 |
2 | 1 |
3 | 1 |
4 | 1 |
5 | 1 |
6 | 1 |
7 | 0 |
8 | 0 |
9 | 0 |
10 | 0 |
11 | 0 |
12 | 1 |
2010
1 | 1 |
2 | 0 |
3 | 1 |
4 | 0 |
5 | 0 |
6 | 0 |
7 | 0 |
8 | 0 |
9 | 0 |
10 | 0 |
11 | 0 |
12 | 0 |
2011
1 | 0 |
2 | 0 |
3 | 0 |
4 | 1 |
5 | 0 |
6 | 1 |
7 | 5 |
8 | 5 |
9 | 3 |
10 | 2 |
11 | 1 |
12 | 1 |
2012
1 | 3 |
2 | 1 |
3 | 2 |
4 | 1 |
5 | 0 |
6 | 2 |
7 | 1 |
8 | 1 |
9 | 2 |
10 | 3 |
11 | 0 |
12 | 3 |
2013
1 | 3 |
2 | 3 |
3 | 4 |
4 | 8 |
5 | 5 |
6 | 3 |
7 | 3 |
8 | 7 |
9 | 5 |
10 | 6 |
11 | 7 |
12 | 10 |
2014
1 | 8 |
2 | 7 |
3 | 7 |
4 | 16 |
5 | 9 |
6 | 14 |
7 | 11 |
8 | 14 |
9 | 7 |
10 | 22 |
11 | 12 |
12 | 17 |
2015
1 | 13 |
2 | 19 |
3 | 21 |
4 | 13 |
5 | 19 |
6 | 11 |
7 | 17 |
8 | 19 |
9 | 33 |
10 | 30 |
11 | 25 |
12 | 19 |
2016
1 | 21 |
2 | 19 |
3 | 20 |
4 | 17 |
5 | 14 |
6 | 22 |
7 | 17 |
8 | 17 |
9 | 27 |
10 | 21 |
11 | 13 |
12 | 17 |
2017
1 | 11 |
2 | 11 |
3 | 16 |
4 | 11 |
5 | 18 |
6 | 23 |
7 | 25 |
8 | 21 |
9 | 21 |
10 | 25 |
11 | 26 |
12 | 26 |
2018
1 | 17 |
2 | 15 |
3 | 29 |
4 | 32 |
5 | 58 |
6 | 31 |
7 | 55 |
8 | 59 |
9 | 46 |
10 | 64 |
11 | 57 |
12 | 68 |
2019
1 | 67 |
2 | 57 |
3 | 67 |
4 | 66 |
5 | 59 |
6 | 43 |
7 | 61 |
8 | 71 |
9 | 31 |
10 | 52 |
11 | 43 |
12 | 141 |
2020
1 | 39 |
2 | 35 |
3 | 28 |
4 | 36 |
5 | 50 |
6 | 71 |
7 | 83 |
8 | 71 |
9 | 35 |
10 | 47 |
11 | 50 |
12 | 39 |
2021
1 | 19 |
2 | 25 |
3 | 19 |
4 | 21 |
5 | 13 |
6 | 20 |
7 | 25 |
8 | 29 |
9 | 8 |
10 | 68 |
11 | 35 |
12 | 45 |
2022
1 | 62 |
2 | 56 |
3 | 102 |
4 | 27 |
5 | 38 |
6 | 29 |
7 | 32 |
8 | 31 |
9 | 54 |
10 | 32 |
11 | 29 |
12 | 48 |
2023
1 | 56 |
2 | 38 |
3 | 51 |
4 | 15 |
5 | 31 |
6 | 33 |
7 | 47 |
8 | 34 |
9 | 35 |
10 | 19 |
11 | 42 |
12 | 49 |
2024
1 | 57 |
2 | 56 |
3 | 25 |
4 | 38 |
5 | 0 |
6 | 0 |
7 | 0 |
8 | 0 |
9 | 0 |
10 | 0 |
11 | 0 |
12 | 0 |