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Scientific Computing with Python 3

You're reading from  Scientific Computing with Python 3

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781786463517
Pages 332 pages
Edition 1st Edition
Languages
Authors (3):
Claus Führer Claus Führer
Profile icon Claus Führer
Jan Erik Solem Jan Erik Solem
Olivier Verdier Olivier Verdier
View More author details

Table of Contents (23) Chapters

Scientific Computing with Python 3
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Acknowledgement
Preface
1. Getting Started 2. Variables and Basic Types 3. Container Types 4. Linear Algebra – Arrays 5. Advanced Array Concepts 6. Plotting 7. Functions 8. Classes 9. Iterating 10. Error Handling 11. Namespaces, Scopes, and Modules 12. Input and Output 13. Testing 14. Comprehensive Examples 15. Symbolic Computations - SymPy References

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]
  3. What does the following command do?
           L4 = [k**2 for k in L3]
  4. 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 in Python...

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