├── .gitattributes ├── .ipynb_checkpoints ├── Asif Bhat-checkpoint.ipynb └── Numpy-checkpoint.ipynb ├── LICENSE ├── Numpy.ipynb ├── README.md ├── load_save.PNG ├── numpyfile.npy ├── sample.txt ├── sample0.txt ├── sample2.txt ├── test3.csv ├── test4.npy ├── test5.npz.npy ├── test6.npz └── test7.npy /.gitattributes: -------------------------------------------------------------------------------- 1 | # Auto detect text files and perform LF normalization 2 | * text=auto 3 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2020 abhat222 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Numpy 2 | Numpy Tutorials 3 | -------------------------------------------------------------------------------- /load_save.PNG: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/datasciencescoop/Numpy/57e498ed2da236d77957aacd770b15f7380ede39/load_save.PNG -------------------------------------------------------------------------------- /numpyfile.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/datasciencescoop/Numpy/57e498ed2da236d77957aacd770b15f7380ede39/numpyfile.npy -------------------------------------------------------------------------------- /sample.txt: -------------------------------------------------------------------------------- 1 | 24 29 88 2 | 1 0 8 3 | 33 7 99 4 | 39 11 98 5 | 22 76 87 6 | -------------------------------------------------------------------------------- /sample0.txt: -------------------------------------------------------------------------------- 1 | Asif India Cricket 2 | John USA Hockey 3 | Ramiro Canada Football -------------------------------------------------------------------------------- /sample2.txt: -------------------------------------------------------------------------------- 1 | Name ID Age 2 | Asif 22 29 3 | John 45 33 4 | Ramiro 55 67 5 | Michael 67 55 6 | Klaus 44 32 7 | Sajad 23 53 -------------------------------------------------------------------------------- /test3.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/datasciencescoop/Numpy/57e498ed2da236d77957aacd770b15f7380ede39/test3.csv -------------------------------------------------------------------------------- /test4.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/datasciencescoop/Numpy/57e498ed2da236d77957aacd770b15f7380ede39/test4.npy -------------------------------------------------------------------------------- /test5.npz.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/datasciencescoop/Numpy/57e498ed2da236d77957aacd770b15f7380ede39/test5.npz.npy -------------------------------------------------------------------------------- /test6.npz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/datasciencescoop/Numpy/57e498ed2da236d77957aacd770b15f7380ede39/test6.npz -------------------------------------------------------------------------------- /test7.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/datasciencescoop/Numpy/57e498ed2da236d77957aacd770b15f7380ede39/test7.npy --------------------------------------------------------------------------------