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These Jupyter notebooks provide a self-study introduction to computing with Python. They have been developed for the computing course in Part IA (Michaelmas Term) of the Engineering Tripos at University of Cambridge. This is first computing course for undergradute students.

The notebooks can be freely used and reproduced. See the copyright and license notice below.

Each notebook covers a topic, with a number of exercices at the end of each notebook. Start with the notebook ''. Model solutions to the exercises are available - contact Garth N. Wells to request the solutions.

Cambridge students/staff: When prompted to sign in to the Azure notebook service, use your University of  Cambridge email address, e.g. crsid@cam.ac.uk.

Others: Create an account on https://notebooks.azure.com to use the notebooks interactively.

The notebooks are maintained at https://github.com/CambridgeEngineering/PartIA-Computing-Michaelmas. Please report any errors or any suggestions at https://github.com/CambridgeEngineering/PartIA-Computing-Michaelmas/issues.

Garth N. Wells (http://www.eng.cam.ac.uk/~gnw20/)

All material is copyright (c) 2016 of Garth N. Wells (gnw20@cam.ac.uk). The full license is available here and is summarised below for convenience.

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/.

The MIT License (MIT) Copyright (c) 2016 Garth N. Wells (gnw20@cam.ac.uk)

See https://opensource.org/licenses/MIT.

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How many flops can you do?

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