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Scientific Computing with Python

Scientific Computing with Python

By : Führer, Claus Fuhrer, Solem, Verdier
4.5 (15)
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Scientific Computing with Python

Scientific Computing with Python

4.5 (15)
By: Führer, Claus Fuhrer, Solem, Verdier

Overview of this book

Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python. This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations. By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.
Table of Contents (23 chapters)
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About Packt
22
References

3.9 Exercises

Ex. 1: Execute the following statements:

L = [1, 2]
L3 = 3*L
  1. What is the content of L3?
  2. Try to predict the outcome of the following commands:
L3[0]
L3[-1]
L3[10]
  1. What does the following command do?
L4 = [k**2 for k in L3]
  1. Concatenate L3 and L4 to a new list L5.

Ex. 2: Use the range command and a list comprehension to generate a list with 100 equidistantly spaced values between 0 and 1.

Ex. 3: Assume that the following signal is stored in a list:

L = [0,1,2,1,0,-1,-2,-1,0]

What is the outcome of:

L[0]
L[-1]
L[:-1]
L + L[1:-1] + L
L[2:2] = [-3]
L[3:4] = []
L[2:5] = [-5]

Do this exercise by inspection only, that is, without using your Python shell.

Ex. 4: Consider the Python statements:

L = [n-m/2 for n in range(m)]
ans = 1 + L[0] + L[-1]

and assume that the variable m has been previously assigned an integer value. What is the value of ans? Answer this question without executing the statements...

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