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Advanced Python Training – 2 Days

Course Description – Advanced Python Training

The Python language has been emerging as a very powerful, flexible, but easy to use programming tool for building all manner of applications. If you have learned the basics of the language, then this Advanced Python Training course can raise your skills to a higher level.

What You Will Learn

  • Advanced functionality such as OO Python, data persistence
  • Unit testing, debugging, and multi-threaded parallel code in Python

Prerequisites and Audience

Students should have a working knowledge of Python or have taken the Basic Python (3-day) class.  Developers who need to be proficient with the Python language and its full set of features.

Custom Delivery

There are a lot of Python topics that are a logical follow-on to the Introduction to Python course, but most teams are only interested in a sub-set of those topics.  The 2-day Advanced Python class is built in a modular fashion to allow teams to tailor each class for the audience.

Below is a list of the most common advanced topics – the entire agenda can be tailored if needed.  Day 1 focuses on the most common topics.  For Day 2, teams will choose a subset of the topics listed.  The number of topics that can be fit into one day depends on the depth of coverage requested.

If you don’t see a topic listed that you are interested in please let us know!


Day 1:  Most commonly requested Advanced Topics

Classes and Object-oriented Programming

  • Defining and using Classes and Objects
  • Using the self reference
  • No privacy in Python
  • Constructors and Destructors
  • Simulating privacy in classes
  • Class data
  • Class Methods
  • Converting your object to a string
  • Inheritance
  • Overriding methods
  • Under the Object-oriented hood
  • Overloaded operators
  • Attribute access
  • Properties
  • Alternative control with __slots__


  • Persistence options
  • The marshal module
  • The pickle module
    JSON and Python
  • Accessing a database
  • SQL Injection
  • Parameterized Statements

GUIs with Tkinter

  • The Tkinter module
  • Hello World with Tkinter
  • Modifying a larger application

Calling C code

  • How to call C code
  • The Swig tool

Threads in Python

  • Creating Threads
  • Synchronization
  • Sharing Data Between Threads

Day 2:Additional topics(choose a subset)

XML Processing

  • Reading and parsing XML files
  • Writing XML files
  • Using XPath
  • Modifying XML

Sockets and Networking

  • Creating a socket server
  • Creating a client server
  • Accessing web pages

Numerical Processing

  • The NumPy module
  • Using NumPy
  • Array slicing in NumPy
  • Using NumPy Functions
  • Array Features


  • About pandas
  • Pandas architecture
  • DataFrames
  • Data Alignment
  • Index Objects
  • Basic indexing
  • Broadcasting
  • Removing entries
  • Time Series
  • Reading Data


  • About matplotlib
  • Matplotlib architecture
  • Matplotlib terminology
  • Matplotlib keeps state
  • What else can you do?

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