Python Training

Python for Network Engineering

This is a course for network engineers and system engineers who are interested in learning Python for network automation, security, and SDN.


Some familiarity with programming concepts (in any language) is assumed.

Expected Outcomes

By the end of the course, you will have all the knowledge you need to write and interact with Python code for a variety of purposes, with a particular focus on string manipulation and interacting with APIs. You will understand the elegance and power of Python and have had experience using several important modules in the Python standard library, including for regular expression matching, working with IP addresses, and interacting with log files. You will also have learned about consuming and creating web APIs and learned about some best practices in Python for testing, debugging, and maintainability.

Course Syllabus

Day 1: Python basics

Day 1 covers how to use Python for general programming tasks, including tips and tricks for making this easy. The syllabus is as follows:

  • Why use Python? What’s possible?
  • Python syntax and concepts: an introduction through examples
  • Variables, values and operators
  • Conditions, loops, functions
  • Essential data structures: strings and lists
  • Input and output of text data (including CSV files)
  • String methods
  • Day 2: Further Python essentials

    Day 2 introduces further important concepts for real-world programming in Python, including how to write code for maintainability, robustness, and efficiency. The syllabus is as follows:

  • Further important data structures: dictionaries and sets
  • Classes and objects
  • Modules and packages
  • Raising and handling exceptions
  • Tour of the amazing standard library:
  • Logging
  • Handling dates and times
  • Introduction to string matching with regular expressions
  • Handling IP addresses (v4 and v6)
  • Day 3: Real-world programming in Python

    Day 3 introduces how to consume and create web APIs and the basics of creating web interfaces using Python. It also shows some “best practices” of software development using Python.

  • Consuming web APIs with the requests package
  • Creating web APIs with Flask
  • Worked example: creating easy web-based reporting interfaces with Flask
  • Practical debugging strategies
  • Unit testing with py.test
  • Best practices for writing maintainable code; coding style
  • Supplemental materials

    We will supply you with printed course notes and a USB stick containing a complete Python environment based on VirtualBox. This saves time in the course and allows us to focus on using Python rather than installing it. The USB stick also contains kitchen-sink Python installers for multiple platforms, solutions to the programming exercises, several written tutorials, and reference documentation on Python and the third-party packages covered in the course.

    Other information

    Personal help:
    Your trainer(s) will be available after the course each day for you to ask any one-on-one questions you like — whether about the course material and exercises or about specific problems you face in your work and how to use Python to solve them.
    Food and drink:
    We will provide lunch, morning and afternoon tea, and drinks.
    The course will run from 9:00 to roughly 17:00 each day, with a breaks of an hour for lunch and 15 minutes each for morning and afternoon tea.

    Upcoming Courses

    22/03/2017 at Sydney

    We also offer custom courses on-site for teams within organisations. These are particularly appropriate if your team uses particular tools or data sources in its workflow. Please contact us to discuss your requirements.

    Upcoming Public Courses


    Python for Network Engineering:
    22 Mar – 24 Mar 2017

    View Details Book Now


    Python for Predictive Data Analytics:
    27 Mar – 30 Mar 2017

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    Introduction to Python:
    27 Mar – 28 Mar 2017

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    Python for Scientists & Engineers:
    08 May – 12 May 2017

    View Details Book Now


    Python for Scientists & Engineers:
    10 Jul – 14 Jul 2017

    View Details Book Now


    Python for Scientists & Engineers:
    14 Aug – 18 Aug 2017

    View Details Book Now



    “One of the best programming courses I have attended - thanks!”

    - Giant Billen, IAG Insurance

    “Excellent training course, excellently presented. Perhaps the best that I have had in the area of IT / programming.”

    - George Grozev, CSIRO (Clayton)

    “Both Ed and Henry presented well…. The course structure was adjusted to suit the participants quickly and easily.”

    - Jenet Austin, CSIRO (Black Mountain Laboratory)

    “Course content was well presented and easily digested. Practical exercises were an essential part of the course – a good ratio of lecture/play was achieved. Well done Ed and Henry!”

    - Steve Zegelin, CSIRO (Black Mountain Laboratory)

    “Very comprehensive intro to every aspect of python. Highly qualified trainer. Beyond my expectation on every aspect. ”

    - Baichuan Sun, CSIRO (Clayton)

    “I loved it. Ed was inspiring.”

    - Onoriode Coast, CSIRO (Narrabri, NSW)

    “One of the best training courses I've been on.”

    - David Scurrah, Bureau of Meteorology (Melbourne)

    “Instructor was superb - very impressive. I really enjoyed the course - thanks!”

    - Steven Edgar, CSIRO (Hobart)

    “Simply awesome!!”

    - James Park, Cisco (St Leonards)

    “It was a pleasure ... Shared feedback from all involved was that it’s been one of the most beneficial and well delivered training courses we’ve been a part of.”

    - Dylan Matthews, Simply Energy / GDF Suez (Melbourne)

    “Very impressed with the course, delivery. And depth of knowledge of Ed and Henry. Far exceeded my expectations and has greatly improved my core skills as well as inspired so many new ideas for my current work / projects. Thank you!”

    - Kelsey Druken, National Computational Infrastructure (Canberra)

    “The course was delivered by trainers who were extremely knowledgeable in their field. It was really good to learn from the best!”

    - Marius Roman, Transurban (Melbourne)

    “Really impressed by Python's capability and excited to use as alternative to MatLab, as is free and better supported.”

    - Carsten Hofmann, OMC International (Melbourne)

    “Was the most fulfilling and rewarding class I have taken since "general relativity" at uni. Was extremely well run. Excellent all round!”

    - Dr Millicent Maier, Australian Astronomical Observatory (Sydney)

    “This course has shown me how I could have done the work I was doing just last week 10x more efficiently in Python.”

    - Maruf Rahman, Geoscience Australia (Canberra)

    “The VM setup and USB is great. Ed is an excellent instructor - he presents well and welcomes any questions. He is clearly a super smart guy who has a great grasp on what he is teaching - able to just prototype on the fly and the course overall really opened my eyes to python. ”

    - Jack Hendy, Optiver (Sydney)

    “Great course. Enjoyed it and will follow up with some practical implementation of some of the work.”

    - Adam Grace, Optus (Sydney)