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introduction (week 1+) Ben Bolker. 03 September 2019. Introduction. Administrative trivia. Instructors: Dr. Benjamin Bolker and Dr. Weijie Pang. TAs: Nik Počuča, Steve Cygu, Aghigh Farhadi (marking)
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Anaconda Python 3.5 or later. Spyder IDE (Comes with Anaconda) Objectives. All students will: Understand the difference between Python basic data types. Know when to use different python collections. Implement python functions. Understand control flow constructs in Python. Handle errors via exception handling constructs
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Sphinx is a great tool for Python documentation and makes it easy for us to translate tutorials written in the rst format to beautiful web pages. Design The course is organized in a hierarchical structure.
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The stopping condition applied here is the zero difference between best PI and worst PI values during the last two consecutive iterations. All instances are solved using Spyder (Python 3.6) on a computer equipped with Intel(R) Core(TM) i7-7700 CPU @ 3.60GHz …
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When you start working with python, you will have (at least) two options. You can use Spyder, which is a simpler interface, but with some powerful capabilities. Or, you can use Jupyter Notebooks, which is a cleaner interface that helps you to organize your code, but it can be limiting in some cases. Chloe’s examples are written in Notebooks.
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Python Spyder IDE | How to Install, Customize and Use Spyder | Ed…
Find where it says Spyder and click “Launch” File New File. Type in the following sample program: print(“Hello world!”) File Save. Type in a file name, e.g. hello.py. It is . essential. that you include the “.py” in the filename above. There should be colors, e.g. the Python …
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PyScripter , Spyder. d. What is the difference between equality (==) and identity (is) operator? 1. ... Python's automatic memory management frees you from having to manually allocate and free memory in your code. 2 marks for any two key features. e. Write any 02 differences between tuples and lists in Python? Give Example.
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if using Spyder (or PyCharm), plots might just show up. in Jupyter notebooks, put the magic %matplotlib inline in a code chunk to display plots. use plt.show() to show plots otherwise. use plt.savefig("filename.png") to save the figure to a file on disk (you can click to open it, or include it in a Word document, or …) basic plots
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