├── LICENSE └── README.md /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2018 MLCCKolkata 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 | # Assignment-2 2 | Assignment 2 for MLCC 3 | 4 | #### How to submit the assignment? 5 | 6 | - Follow this [video](https://www.youtube.com/watch?v=Jlhf9eY_0N0) for the details. Send a pull request to this repo after completing all the three assignments. 7 | 8 | #### This Assignment consists of three jupyter notebooks: 9 | 1) [List.ipynb](https://colab.research.google.com/drive/1qvaNsZyqe4N-xJ3SMisqrVzBFSpoBZ32) - this exercise teaches you basic [list](https://docs.python.org/3/tutorial/datastructures.html) manipulation. 10 | 2) [Numpy Examples.ipynb](https://colab.research.google.com/drive/1pVa-ppGlePIq0GztFaqh-WkhOH7USpMY) consists of [numpy](http://www.numpy.org/) examples. 11 | 3) [Numpy Exercises.ipynb](https://colab.research.google.com/drive/1Ho1yNgI2o5vXAly5PH2vv0UKOFNgpaeU) complete this small exercise to test your knowledge and learnings (Feel Free to Google). 12 | --------------------------------------------------------------------------------