Further reading

Here are some links that you can refer to, for more information on the relative topics of this chapter:

• Original NumPy user documentation: http://people.csail.mit.edu/jrennie/python/numeric/numeric-manual.pdf
• Understanding Data Types in Python: https://jakevdp.github.io/PythonDataScienceHandbook/02.01-understanding-data-types.html
• NumPy Cheat Sheet: Data Analysis in Python: https://www.datacamp.com/community/blog/python-numpy-cheat-sheet
• The NumPy genfromtxt() function help guide: https://docs.scipy.org/doc/numpy/reference/generated/numpy.genfromtxt.html
• Image Processing with NumPy: http://www.degeneratestate.org/posts/2016/Oct/23/image-processing-with-numpy/
• History of the Logo programming language: http://www.sydlexia.com/logo.htm
• Logo emulator: https://www.calormen.com/jslogo/#
• Difference between Python lists and NumPy arrays: https://webcourses.ucf.edu/courses/1249560/pages/python-lists-vs-numpy-arrays-what-is-the-difference
• Yahoo Finance Stock Ticker data: https://finance.yahoo.com/quote/AAPL/history?period1=1546318800&period2=1574744400&interval=1d&filter=history&frequency=1d