Instructions for the labs sessions on Python. You can directly browse the following links to check out the lab sheets.
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Introduction to Jupyter Notebook: Jupyter Notebook is an open source web application that you can use to create and share documents that contain live code, equations, visualizations, and text.
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Basics of Python: to run python codes, you can either copy & paste the codes from the lab sheet and then run them at a python console, or clone/download this repository to run the codes using Jupyter Notebook as introduced below.
- Installation
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If you are using machines at G2 or ITL: machines should be already prepared to run the labs without further setup.
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If you are using your own computer: we strongly recommend installing Python and Jupyter using the Anaconda Distribution, which includes Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science. We recommend downloading Anaconda’s latest Python 3 version.
- Clone/Download the repository: run the following command at the Terminal (Mac/Linux) or Command Prompt (Windows)
$ git clone https://github.com/qmul-ecs719p/python.git
- Congratulations, you can launch the notebook now by running the following command:
$ jupyter notebook
This will present the notebook in your browser. You can navigate to the python folder and open a .ipynb file to run python code cell by cell. See Running the Notebook for more details.