- 54
- 58 100 957
Robert Quimby
United States
Приєднався 25 тра 2020
Jupyter Notebooks
What is a Jupyter notebook? Introduction with demonstration of how to open a Jupyter notebook, how to edit one, and how to run markdown and code cells.
Part of the Astronomical Techniques series developed for advanced undergraduate and beginning graduate students at San Diego State University. The accompanying Jupyter notebook can be found at github.com/rmquimby/Astronomical_Techniques. Students should complete these notebooks as they watch the video.
Part of the Astronomical Techniques series developed for advanced undergraduate and beginning graduate students at San Diego State University. The accompanying Jupyter notebook can be found at github.com/rmquimby/Astronomical_Techniques. Students should complete these notebooks as they watch the video.
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Відео
Unix/Linux (the basics)
Переглядів 2,7 тис.Рік тому
Introduction to Linux including what operating systems do, the "terminal" program, creating files and directories (folders), and pro tips on working from the command line. Part of the Astronomical Techniques series developed for advanced undergraduate and beginning graduate students at San Diego State University. The accompanying Jupyter notebook can be found at github.com/rmquimby/Astronomical...
python debugger
Переглядів 604Рік тому
How to use the debugger built into ipython (including jupyter notebooks) to learn why your code crashes. Part of the Astronomical Techniques series developed for advanced undergraduate and beginning graduate students at San Diego State University. The accompanying Jupyter notebook can be found at github.com/rmquimby/Astronomical_Techniques. Students should complete these notebooks as they watch...
Jupyter Notebooks (old version)
Переглядів 533Рік тому
[A new video is available at ua-cam.com/video/azM7W8vIWMI/v-deo.html ] What is a Jupyter notebook? Introduction with demonstration of how to open a Jupyter notebook, how to edit one, and how to run markdown and code cells. Part of the Astronomical Techniques series developed for advanced undergraduate and beginning graduate students at San Diego State University. The accompanying Jupyter notebo...
Python
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Quick introduction to python with a demonstration of creating variables of the basic data types (integer, string, lists, etc.) using the interactive python interpreter (in a jupyter notebook). Part of the Astronomical Techniques series developed for advanced undergraduate and beginning graduate students at San Diego State University. The accompanying Jupyter notebook can be found at github.com/...
Python Functions
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Demonstration of how to define and use functions in python with discussion of variable scope (how python looks up the value of variables in different blocks of code). Part of the Astronomical Techniques series developed for advanced undergraduate and beginning graduate students at San Diego State University. The accompanying Jupyter notebook can be found at github.com/rmquimby/Astronomical_Tech...
numpy
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Creation and use of 1-D and 2-D arrays in python using the numpy package. Includes demonstration of accessing subsections (slices) of arrays and numpy's ability to quickly perform numerical operations over entire arrays of data. Part of the Astronomical Techniques series developed for advanced undergraduate and beginning graduate students at San Diego State University. The accompanying Jupyter ...
matplotlib
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Covers the basics of using matplotlib in a python jupyter notebook to plot points and curves. Includes discussion of how to change the size of a figure, label the axes, and how to change the label font. Part of the Astronomical Techniques series developed for advanced undergraduate and beginning graduate students at San Diego State University. The accompanying Jupyter notebook can be found at g...
astropy
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Quick introduction to astropy including some of the key features of the units, coordinates, time, and io sub packages. Part of the Astronomical Techniques series developed for advanced undergraduate and beginning graduate students at San Diego State University. The accompanying Jupyter notebook can be found at github.com/rmquimby/Astronomical_Techniques. Students should complete these notebooks...