Python Training

Python for Network & Systems Engineering

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

Prerequisites

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 versus other languages …
  • Setting up your Python development environment (IDE, Jupyter notebook)
  • Python syntax and concepts: an introduction through examples
  • Functions and their arguments
  • Essential data types, tips and tricks: strings, tuples, lists
  • String methods; input and output of text data (including CSV files)
  • Dictionaries and their applications
  • Worked example: consuming web APIs

Day 2: Further Python essentials

Day 2 introduces further important concepts and tools for making the most of Python.

  • Further important data types: sets and collections
  • Classes and objects
  • Modules and packages
  • Raising and handling exceptions
  • Tour of the amazing standard library:
    • Parsing log files with regular expressions
    • Handling dates and times
    • Working with IP addresses, file paths, command-line script arguments
    • Logging
    • Cryptographic hashing of file contents (SHA256, SHA1, MD5, ...)
    • Compressing and uncompressing data

Day 3: Real-world programming in Python

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

  • Review of consuming web APIs with the requests package
  • Creating web APIs with Flask
  • Templating with Jinja2; creating web-based reporting interfaces
  • Network automation via SSH with Fabric
  • Python developer tools and debugging tools
  • Best practices; tips and tricks

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.
Timing:
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

There are currently no events. Contact Us to arrange an event in your location.

Upcoming Public Courses

Melbourne

Python for Scientists & Engineers:
04 Dec – 07 Dec 2017

50 Queen Street, Melbourne CBD

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Melbourne

Introduction to Python:
04 Dec – 05 Dec 2017

50 Queen Street, Melbourne CBD

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Melbourne

Python for Geospatial Analysis:
04 Dec – 08 Dec 2017

50 Queen Street, Melbourne CBD

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Sydney

Introduction to Python:
12 Dec – 13 Dec 2017

Level 4, 60 Clarence Street, Sydney CBD

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Sydney

Introduction to Python:
29 Jan – 30 Jan 2018

Level 4, 60 Clarence Street, Sydney CBD

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Sydney

Python for Predictive Data Analytics:
29 Jan – 01 Feb 2018

60 Clarence Street, Sydney CBD

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Melbourne

Python for Predictive Data Analytics:
26 Mar – 29 Mar 2018

50 Queen Street, Melbourne CBD

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Melbourne

Introduction to Python:
26 Mar – 27 Mar 2018

Ground Floor, 50 Queen Street, Melbourne CBD

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Testimonials

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

- Marius Roman

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

- Adam Grace

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

- Steven Edgar

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

- David Scurrah

“I loved it. Ed was inspiring.”

- Onoriode Coast

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

- Carsten Hofmann

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

- Baichuan Sun

“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

“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

“Simply awesome!!”

- James Park

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

- Jenet Austin

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

- George Grozev

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

- Giant Billen

“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

“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

“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

“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