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Python Deep Dive Training in Toronto, Canada

Learn more about Python object oriented features and meta programming that will help in creating more sustainable and scalable code.

  • 32 hours of Instructor-led classes
  • Advanced level
  • Hands-on training
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Modes of Delivery

Key Features

32 hours of Interactive Instructor-led training
Immersive hands-on learning classes
Learn about advanced features of Python language
Understand all about programmer tools, distributed modules, database access, GUI programming, extending Python and much more.
Learn to build, test, and debug Python applications
Our Python experts will guide students in future implementation of the technology


You have already learnt Python basics. It’s now time to master the advanced features of Python and leverage this language to create robust Python packages and improve your overall programming experience.  Zeolearn’s virtual Python Deep Dive training is aimed at mid-level Python programmers who would like to learn more about its object oriented features and meta programming that will help create more sustainable and scalable code.

We will cover in this Python Deep Dive training all about programmer tools, distributed modules, database access, GUI programming, extending Python and much more.

Here’s what you will learn!

  • Pick up where you left off from the Python course and learn all the concepts in detail including new features like meta programming, GUI and networking programming
  • Create eye catching GUI with Python
  • How to connect to databases and fetch data from records
  • Write crisper and more scalable code by using advanced and new features of Python

Is this course right for you?

Python programmers who want to learn the more advanced features of Python will find this course useful. 


Participants are expected to know how to write simple Python scripts using basic datatypes and its library or should have alternately undergone our course on Python. 


  • Data types
  • Sequences
  • Mapping types
  • Program structure
  • Files and console I/O
  • Conditionals
  • Loops
  • Builtins
  • The os module
  • Environment variables
  • Launching external commands
  • Walking directory trees
  • Paths, directories, and filenames
  • Working with file systems
  • Dates and times
  • The Zen of Python
  • Common idioms
  • Lambda functions
  • List comprehensions
  • Generator expressions
  • String formatting
  • Initialization code
  • Namespaces
  • Executing modules as scripts
  • Documentation
  • Packages and name resolution
  • Naming conventions
  • Using imports
  • Defining classes
  • Instance methods and data
  • Initializers
  • Class methods
  • Static methods
  • Inheritance
  • Multiple inheritance
  • Pseudo-private variable
  • Implicit properties
  • globals() and locals()
  • Attributes
  • The inspect module
  • Decorators
  • Monkey patching
  • Analyzing programs
  • Using pylint
  • Testing code
  • Using unittest
  • Debugging
  • Profiling
  • Distributing modules
  • Distribution concepts
  • setuptools
  • creating
  • building installers
  • running installers
  • The DB API
  • Available Interfaces
  • Connecting to a server
  • Creating and executing a cursor
  • Fetching data
  • Parameterized statements
  • Metadata
  • Transaction control
  • Overview
  • The mainwindow object
  • Widgets
  • Colors and fonts
  • GUI layout
  • Event handling
  • Sockets
  • Clients
  • Servers
  • Application protocols
  • Forking servers
  • Threaded servers
  • Binary data
  • The struct module
  • Why use threads?
  • Threads are different
  • Variables are shared
  • Python threads modules
  • The threading module
  • The queue module
  • The python thread manager
  • Debugging threaded programs
  • Working with XML
  • DOM and SAX
  • Introducing ElementTree
  • Parsing XML
  • Navigating the document
  • Creating a new XML document
  • JSON
  • Parsing JSON into Python
  • Converting Python into JSON
  • About non-Python modules
  • Overview of a C extension
  • Creating functions
  • Registering functions
  • Initialization code
  • Loading the module
  • The sh namespace
  • Running a simple command
  • Keyword arguments
  • Running commands in the background
  • Piping and redirection
  • Working with STDIN
  • Exit codes
  • Advanced features

Frequently Asked Questions

Considering that Python is widely used for processing text, numbers, images or scientific data, and finds popular application in many development environments, getting hands on knowledge is an asset, especially if you want to make a career in Python programming. Understanding the advanced features of Python will help make you a better programmer who can write more streamlined code that is maintainable and extendable. You can learn to create amazing GUIs with Python and understand how best to connect with databases. Python being an object oriented programming language, you will also learn more about object oriented programming concepts in this Python Deep Dive course. Zeolearn academy’s Python Deep Dive class is brought to you by experienced and certified instructors who have successfully trained thousands of professionals across the globe and helped them land lucrative careers. This online program is a perfect blend of hands on training and lectures and students would have mastered Python advanced concepts by the end of the workshop.  

  • The more advanced concepts of Python’s object oriented features
  • Understand how to leverage its OS services
  • Create stunning GUIs
  • Connect with and query databases
  • Test and debug applications
  • Work with JSON
  • Use the sh module

Zeolearn brings you online, self-paced, mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including courses on Programing such Ruby 101 and Ruby Deep Dive, which are very popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!

You will receive Python Deep Dive certification in the form of a course completion certificate.

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will build a Python program with support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.

You may also attend these classes from your smart phone or tablet.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

Python programmers who want to learn the more advanced features of Python to code better and faster will find this program useful. 

  • Operating system such as Mac OS X, Windows or Linux
  • Python 2.6, 2.7, or 3.x
  • An IDE with Python support (PyCharm Community Edition is an excellent free option, but there are several other good ones
  • Internet Connection

Python Deep Dive Course in Toronto


Toronto is one of the most culturally diverse cities in the world. The city is fast transforming into a digital hub with more tech start-ups being established here in the recent past, resulting in more opportunities for skilled professionals. Today, the city stands out as one of the premier tourist centres as well as ranking high on the “ease of doing business” and it is the later which is one of the main drivers behind why so many companies have set up their bases here.

About the course

With over a million plus applications hogging the digital space, companies know that they need to come up with better applications and get theirs to the market well ahead of the competition in order to retain their edge. This is why so many of them are revamping their business processes, tweaking their application development and turning to languages like Python to build robust, scalable applications within a short while. This has resulted in a demand for Python developers. Take a look at Zeolearn Academy, since the Institute offers a comprehensive Python Deep Dive course in Toronto which can actually help to give new impetus to your career.

The Python Deep Dive training in Toronto should provide you with hands on training, covering all aspects of Python programming from basics to advanced topics. The course comes with 32 hours of interactive training modules taught by leading experts in the field. Moreover, the Python Deep Dive classes in Toronto should enable you to write readable and scalable code in no time at all, and with it you should be able to develop Python applications from scratch with ease. The course comes at a reasonable cost as well as tutor-led one on one session with the trainer for additional tutoring. It also comes with a valid Python Deep Dive certification in Toronto at the end of the course.

What you learn:

Our Python Deep Dive course in Toronto offers the following:

  • 32 hours of intensive training
  • Materials on application development
  • To develop robust, scalable applications rapidly
  • To speed up development
  • To enhance business processes
  • To create eye catching GUI with Python
  • Extensive lab sessions with demo, lectures and practice sessions
  • One on one coaching session with trainer

Course objectives

  • To write readable and scalable codes using Python and to speed up development
  • To be able to develop, configure, test  and deploy applications faster using Python
  • To build and launch scalable applications using Python


  • Virtual training sessions
  • Workshop on core concepts of advanced Python programming
  • Flexible schedule
  • Fee refund if opting out in a day

Is this the right course for you?

If you are a Python developer looking to specialise further then Zeolearn’s Python Deep Dive course in Toronto should be perfect for you. So register soon


To enrol for the course, you are expected to know:

  • Basics of Python programming

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