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Mastering Python Scripting for System Administrators

You're reading from   Mastering Python Scripting for System Administrators Write scripts and automate them for real-world administration tasks using Python

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789133226
Length 318 pages
Edition 1st Edition
Languages
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Author (1):
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Ganesh Sanjiv Naik Ganesh Sanjiv Naik
Author Profile Icon Ganesh Sanjiv Naik
Ganesh Sanjiv Naik
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Toc

Table of Contents (21) Chapters Close

Preface 1. Python Scripting Overview FREE CHAPTER 2. Debugging and Profiling Python Scripts 3. Unit Testing - Introduction to the Unit Testing Framework 4. Automating Regular Administrative Activities 5. Handling Files, Directories, and Data 6. File Archiving, Encrypting, and Decrypting 7. Text Processing and Regular Expressions 8. Documentation and Reporting 9. Working with Various Files 10. Basic Networking - Socket Programming 11. Handling Emails Using Python Scripting 12. Remote Monitoring of Hosts Over Telnet and SSH 13. Building Graphical User Interfaces 14. Working with Apache and Other Log Files 15. SOAP and REST API Communication 16. Web Scraping - Extracting Useful Data from Websites 17. Statistics Gathering and Reporting 18. MySQL and SQLite Database Administrations 19. Assessments 20. Other Books You May Enjoy

Chapter 5, Handling Files, Directories, and Data

  1. By using the pathlib library.

  2. Following is the answer:
print(*objects, sep=' ', end='\n', file=sys.stdout, flush=False)
  1. If called without an argument, return the names in the current scope. Otherwise, return an alphabetized list of names comprising (some of) the attributes of the given object, and the attributes reachable from it.
  2. A DataFrame is a two-dimensional size, mutable, and potentially heterogeneous tabular data structure with labeled axes.
    Series is the data structure for a single column of a DataFrame, not only conceptually, but literally; that is, the data in a DataFrame is actually stored in memory as a collection of series.
  3. List comprehensions provide a concise way to create new lists.
  4. Yes:
Set comprehension {s**2 for s in range(10)}
Dict comprehension {n: n**2 for n in range(5)}
  1. Following...
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