Python Certification Training in Toronto, Canada

Learn Python Programming Language from Basics to Advanced

  • 24 hours of Instructor led Training
  • Immersive hands-on training on Python Programming
  • Learn Python Programming core concepts-control flow, operators, functions, syntax & indentations
  • Learn Best Python Coding Practices
  • Get Free E-learning Access to 100+ courses

Python Training Course Description

Python Certification will assist you in mastering the concepts of Python and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and Web Scraping. Learn how to write Python Programming for Big Data systems such as Spark and Hadoop.  

Python certification is suitable for beginners, intermediate learners as well as Python experts. Learn Python from scratch and work on real-world projects and case studies to get extensive hands-on experience. 

Over the course duration, interact with the instructors in real-time, that is, listen, learn, interact, question, and apply.

Do you know what exactly is Python?

So what exactly is Python? It’s not as complicated as you think!

Python is a high-level performing, object-oriented, multi-purpose programming language. It has an integrated dynamic semantics which is mostly used for web development as well as app development. Python offers dynamic typing and dynamic binding, which makes it appealing in the field of Rapid Application Development. Also, Python supports packages and modules, encouraging code reuse and program modularity.

What Programming skills will you learn with this Python Certification Training Online?

  • About interpreters and Python Script
  • How to install Anaconda and Python distribution
  • To write Python code to implement string operations
  • To write Python code to understand and implement Python Data Structures
  • To write Python code to implement loop and control structures in R
  • To write Python code to create your own custom functions without or with arguments. Also, learn how to call them by passing arguments as per requirements
  • To write Python code to create modules as well as execute them
  • To write Python code to use Regular Expression and match pattern, parse data and so on
  • To write Python code to construct a class and define objects

The course curriculum has been designed in such a manner that you’ll receive the most advanced knowledge and skills. You can become an expert in Python by grabbing the opportunity to learn hands-on coding with guidance and reviews from our mentors. You will be learning from the best in the field as all our trainers and mentors are experienced professionals.

If you have a basic knowledge of programming concepts and object-oriented concepts and wish to make a career out of Python as a Software Engineer, Python Developer, Data Scientist, Data Analyst, Research Analyst or Software Developer, then choose the best Python certification course and make your dream career come true!

Python Tutorial Chapters

Chapter No

Python Tutorial Chapters


Python - Introduction

Get a brief idea of what this Python tutorial has to offer. Know about the main features of Python along with the history of its development.  Learn some important applications of Python, including data science, machine learning, image processing etc, along with who uses Python. 


Python - Getting Started

Gain a brief idea about Python Online. Learn how to install Python on your Windows and Linux machine with the help of the installation instructions provided in this module. Also, get acquainted with alternative Python distributions such as Anaconda and Canopy.


Python - Basic Syntax

Gain an understanding of Keywords, Identifiers and Statements to learn about the basic syntax of Python. Learn the rules of naming identifiers, Intends and Comments with suitable examples. 


Python - Variables

Acquire knowledge on the data type systems in Python, viz. Standard or Built-In data types, which include Numbers, Sequences and Mappings. Learn about Variables, Dynamic Typing and Mutability of Objects in this module. Moreover, gain an understanding of the input/output functions input() and print() along with appropriate examples.


Python - Numbers

This module deals with the representation of numeric data types, viz. int, bool, float, complex. Learn about the Built-in Conversion Functions such as int(), float(), complex(); as well as the Built-in Mathematical Functions such as abs(), hex(), oct(), pow(), round() with simple examples. 


Python - Strings

Get a detailed look at the characteristics of Python’s string data type and the different escape sequences. Learn various useful methods of built-in String class – such as changing cases, finding and replacing within the string, etc. String formatting and format() function is explained with suitable examples. 


Python - List and Tuple

Learn about Python’s built-in container types, List and Tuple. Know the similarities and the differences between the two. Gain an understanding of the built-in functions that can be used along with List as well as Tuple. The Conversion functions list(), tuple() and str() are illustrated in this chapter.


Python - Dictionary

Definition of Dictionary along with its representation and examples of dictionary objects. Learn how to access and update values in the dictionary. Gain an understanding of the built-in functions and dictionary class methods. Learn about the Keys(), values() and items() methods with suitable examples.


Python - Sets

Know everything about Sets and set() function that you need to know with the help of suitable examples. Learn about the different methods by which the set object can be modified. 

This module also explains how various set operations like union, intersection are performed using respective methods in Set class.


Python - Operators

This module deals with operators in Python, that perform various operations on Python objects. Learn about the arithmetic and logical operations defined in Python. Moreover, get to know the use of set operators corresponding to methods in Set class. Get to know about the identity, membership and bitwise operators.


Python - Conditional Statements

Get to know the proper definition of program and programming. Acquire the knowledge of logical programming and learn how the statements are executed. Learn how to use the different conditional statements, viz. if, else and elif with appropriate examples.    


Python - Loops

Gain a basic understanding of loops through this module. This module describes the importance and usage of while loop, for loop as well as nested loop in Python with the help of examples. Python’s loop control keywords break and continue have been dealt with in detail in this module.


Python – Built-in Modules

Python library is bundled with a large number of modules, each containing a number of utility functions. In this module, frequently used functions from various modules are explained with examples. The sys module and statistics module has also been covered. 


Python - User Defined Functions

Learn how to define a new function as per requirements and how to call it. Different features of defining and passing arguments to a function are explained with suitable examples in this module. Learn how to make a function return value. Moreover, calling the function by reference is also explained.


Python – Functional Programming

This module will give you an overview of some important tools supporting functional programming paradigm. Learn about iterator and generator functions in this module. It also deals with list comprehension and related tools in details.  Learn how to use the map(), filter() and reduce() functions.


Python - Custom Modules

This chapter will help you learn how to build a module and import functions from it. Learn how to use the various attributes of these modules under diverse programming situations. Additionally, study how to build a module and import functions from it.  


Python - Packages

This module deals with packages, as well as how to construct a package and import functions from it. Furthermore, build a package and install it for system-wide use with the help of setup tools module. The process of publishing module on Python package index repository has also been discussed.


Python - Exceptions

This module discusses Exceptions and the numerous predefined Exception classes present in a Python library. Get to know the various exception types. Learn how to use try, except and finally keywords to understand Python’s exception handling mechanism. Define customized exception classes and raise their instances.


Python - FileIO

Get acquainted with the built-in File object of Python in this chapter. Various file opening modes like append and simultaneous read/write are explained with relevant examples. A section in this chapter deals with file related exception handling. Moreover, learn how to perform read/write operations on a binary file.


Python - CSV

Learn what are Comma Separated Values (CSV) format. Learn about its Reader and Writer classes as well as convenience functions along with suitable examples. 

The various functions discussed are writer(), writerow(), writerows(), reader(), DictWriter(), writeheader(), DictReader(). This module also discusses, in brief, the Dialect class. 


Python – Database Connectivity

This chapter introduces the concepts of a relational database, explaining the basic SQL queries for CRUD operations with the help of SQLite and MySQL database. Learn how Python programming can be used to perform SQL operations on the SQLite database.

Here, MySQL connectivity is explained by installing PyMySql module.


Python – Tkinter

Get a deeper insight into Tkinter. Learn how to form a basic window and put various widgets like button, label, entry etc. Get to know its layout management with place(), pack() and grid() methods. Learn about Event handling mechanism and how to draw different shapes using the Canvas widget.


Python - OOP

Understand the difference between a procedure-oriented approach towards programming from an object-oriented approach. Learn how to build a user-defined class and set up its objects.

Additionally, the concept of constructor, instance attributes and methods are explained along with Python’s built-in property() function using examples.


Python - Decorator

Understand what a Decorator is and learn how to define a decorator. Understand the built-in property() function and how to use it as a @property decorator. Moreover,  learn about the @classmethod and @staticmethod built-in decorators as well. 


Python - Inheritance

In this chapter, take a look at Python’s implementation of the principle of inheritance. Understand the Syntax of Inheritance. Other topics discussed in this chapter are Overriding, multiple inheritance and Protected attributes.    


Python - Magic Methods

This chapter will help you understand what Magic Methods are. In this chapter, magic methods used for object customization are discussed. They are __new__(), __repr__() and __str__(). Get to know about operator overloading and object customization. MyTime class has been used to demonstrate operator overloading.


Python - Regex

This chapter explains all the functions that are defined in the regex module of Python’s standard library. This chapter demonstrates searching for, matching, finding and compiling regex patterns. Towards the end of the chapter, typical use cases of regex such as matching domain names are explained.


Python - CGI

Important features of Python’s implementation of the CGI protocol has been discussed. It describes how Apache server is configured for running *.py files as a CGI script. Various attributes, methods of FieldStorage class have been used to demonstrate how data is sent from a web client and result is redirected from the server. 


Python – Send Mail

This chapter deals with the SMTP protocol with the help of the smtplib module.

A suitable example is used to show how we can use Gmail by configuring its SMTP server to send an email from a Python script.


Python - Object serialization

Gain an understanding of serialization and deserialization. In this chapter, understand and learn pickle protocols, which is Python’s own serialization format. Serialization functionality of marshal and shelve module is also explained. Finally, learn how Python objects are represented in JSON format with the help of the JSON module.


Python - Multithreading

In this chapter, understand the principles of concurrent threads in a program. The threading module defines functions to initialize, start run and terminate a thread. We shall also see how a thread can be paused and resumed. This chapter takes a look at the concept of thread synchronization.


Python - XML

This chapter covers the implementation of the ElementTree API model. With the help of a suitable example, understand and learn how Python objects can be serialized in XML format and reconstructed back. Moreover, learn how to parse, modify an XML file and the comparison between DOM and SAX APIs.


Python – Socket Module

This chapter takes a look at the functionality of the 'socket' module that provides access to the BSD socket interface, and focuses mainly on connection-oriented TCP sockets. Understand the various Server Socket methods and learn how to set up a socket server as well as a client application.


Python - Dataclasses

Data classes module is the latest addition to Python’s standard library. The @dataclass decorator helps in auto-generation of constructor and operator overloading methods in a class. The functions asdict(), astuple() and make_dataclass() have been discussed with respective examples in this chapter. 

Why Python Certification Course?

Python has been voted as the most wanted technology of the year 2018, according to the 2018 Developer Survey by StackOverflow. Also, it has been ranked as the seventh most popular programming language in the world amongst software developers.

With various resources available in the market that can teach you to code in Python version 3 without any experience of coding in Python version 2, it is necessary that you make the right choice of course for you. Python 3 being the latest version of Python, is also the future. And starting with the latest version of a programming language is a decision that you will never regret.

The Python Certification course provided by KnowledgeHut is an instructor-led, 24 hours live session with 7- hours of MCQs and assignments. It also includes 22 hours of hands-on practical sessions with Python along with three use cases.

The Python certification training will introduce you to the world of Python and enable you to learn Python from scratch. It will expose you to its architecture, design philosophy, basics of scripts, applications, and packages through hands-on practical sessions.

What you will learn in this Python Certification Course

Python Course Prerequisites

We recommend:

  • Knowledge of basic programming concepts
  • Knowledge of object-oriented concepts will be beneficial

365 Days FREE Access to 100 e-Learning courses when you buy any course from us

Who should Attend this Python Training Course

  • Web developers, programmers, engineers, big data scientists, etc
  • Professionals who want to strengthen their knowledge of Python
  • Suited for beginners and experienced professionals

KnowledgeHut Experience

Instructor-led Live Classroom

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

Curriculum Designed by Experts

Our courseware is designed by industry experts who have real-world experience. Get the most advanced knowledge and skills.

Hands-on coding

Learn theory backed by practical case studies, exercises, and coding practices. Apply skills and knowledge effectively in the real world.

Expert Mentorship

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

Projects in this Python Certification Course

Jumbled Word

Build a small game to rearrange jumbled letters and create a word. A player is given a jumbled word, player will have to arrange the characters of the word and make a correct meaningful word.

Read More

Dice Rolling Simulator

Build a dice rolling simulator using Python, which will randomly select a number between 1 and 6. After selecting the number, it should print it and ask you if you would like to roll the dice again.

Read More


Create the classic Tic-Tac-Toe game (also called Noughts and Crosses) in Python using user defined functions, while loops etc. Player takes turns marking the spaces in a 3×3 grid.

Read More


Calculators are handy and can be used to perform simple tasks using simple operations like addition, subtraction, multiplication and division. Create a calculator using operators in Python to add, subtract, multiply and divide.

Read More
Note:These were the projects undertaken by students from previous batches.  

Python Certification Course Curriculum

Learning Objective:

Learn about the history of Python and its various uses. Learn to use interpreters and also learn about how Python scripts work on UNIX/Windows.

Topic Covered:

  • History of Python
  • Why to use Python?
  • Starting Python
  • Interpreter PATH
  • Using the Interpreter
  • Python Scripts on UNIX/Windows


Learn about interpreters and Python Script.

Learning Objective:

Learn how to install Python distribution - Anaconda. Learn basic data types, strings & regular expressions.

Topic Covered:

  • Python Editors and IDEs
  • Install Anaconda


Install Anaconda - Python distribution

Learning Objective:

In this module, you will learn to convert messy text into something useful.

Topic Covered:

  • String Operations
  • Data Types & Variables
  • Commonly used Operators


Write Python code to implement string operations.

Learning Objective: 

Learn the various data structures that are used in Python.

Topic Covered:

  • Arrays
  • Lists
  • Tuples
  • Dictionaries
  • Sets


Write Python Code to understand and implement Python Data Structures.

Learning Objective:

Learn all about loops and control statements in Python.

Topic Covered:

  • For Loop
  • While Loop                
  • Break Statement
  • Next Statements
  • Repeat Statement
  • if, if…else Statements
  • Switch Statement


Write Python Code to implement loop and control structures in R.

Learning Objective:

Write user-defined functions in Python. Learn about Lambda function. Learn the object oriented way of writing classes & objects.

Topic Covered:

  • Writing your own functions (UDF)
  • Calling Python Functions                 
  • Functions with Arguments
  • Calling Python Functions by passing Arguments
  • Lambda Functions


Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required.

Learning Objective: 

Learn to build modules and install packages.

Topic Covered:

  • The Import Statement
  • Module Search Path
  • Package Installation Ways


Write Python Code to create modules and execute them.

Learning Objective: 

Learn about Regular Expression Objects, subexpressions, tips and tricks to implement while you code.

Topic Covered:

  • RE Objects
  • Pattern matching
  • Parsing data
  • Subexpressions
  • Complex substitutions
  • RE tips and tricks


Write Python Code to use Regular Expression and match pattern, parse data and so on.

Learning Objective: 

Gain knowledge on OOPs to code easily and efficiently. Learn to construct classes and define objects."

Topic Covered:

  • Introduction to Python Classes
  • Defining Classes
  • Initializers
  • Instance Methods
  • Properties
  • Class Methods and Data
  • Static Methods
  • Private Methods and Inheritance
  • Module Aliases


Write Python code to construct a class and define objects.

Learning Objective: 

Study Use Cases to explore Python

Topic Covered:

  • Use Case


Use cases covering conditional statements, functions, classes, modules, regular expressions.

Python Certification Process

What is Python

Python is one of the most popular programming languages among developers. It is a high-level programming language with the following characteristics:

  • Interpreted
  • Object-oriented
  • Uses dynamic semantics
  • Easy to learn
  • Extensive standard library

Guido Van Rossum, the creator of Python, conceptualized the language in the late 1980s. He was working as the implementer of the ABC programming language in the National Research Institute of Mathematics and Computer Science. He designed Python that possessed some of ABC's better properties, but without its problems and used the AMOEBA system calls. Then, in 1991, the first version of the language was released under the name Modula 3.

Guido Van Rossum, the creator of the language, was a huge fan of the 1970s BBC hit comedy show, ‘Monty Python’s Flying Circus’. He wanted to name his pet project something short, unique, and mysterious. And so he named the language Python.

Python is undoubtedly the most commonly used and preferred language among developers. Companies like Givex, Adecco Group, JM Group, Hatchways, Stack IT recruitment, Spiria, BlueCat, Sperry Recruiting, Photon Infotech, The Calliere Group, TATA Consultancy Services, etc. are looking for Python developers in Toronto. The top 5 reasons for the popularity of Python are:

  • Community: Python has the support of a large, open-source community that helps fellow developers. You can also find tons of projects online that you can use in your projects.
  • Corporate sponsor: Google supports the development of Python programming language and updates tutorials and guides regularly.
  • Academics: The multiple libraries it offers make it useful in powering fields like data science, machine learning, etc. Also, its general-purpose tasks utility makes it perfect for academic projects and research purposes.
  • Efficiency: Python offers better efficiency than other languages as you don’t need to make any changes in the script for deploying it in any other environment. Also, regular expressions can be used for increasing output of the code and decreasing its length.
  • Learning: Since its syntax resembles the English language, it makes it very easy to learn. It also has a gradual learning curve.

Below are some of the top reasons to learn Python today:

  • Ease of learning: The syntax of Python resembles the English languages. This makes it one of the easiest languages to learn.
  • General-purpose: Its general purpose utility allows it to be used in a number of fields like web development, cloud computing, machine learning, and data science.
  • Big community: Its huge, global, open-source community keeps the language and its packages stable and updated according to the latest trends.
  • Flexibility: Python has a lot of libraries which make writing program much simpler, like NLTK for natural language processing, Matplotlib for data visualization, scikit-learn for machine learning, NumPy for matrix operations, etc. Python can be used with other programming languages as well.

Below are the steps to help you get started with Python:

  1. Understand why Python: There are many possible reasons to learn Python. So, make a list of the top reasons why you want to learn Python. This will help you stay motivated to make it through the learning process.
  2. Install Python: Install Python from Anaconda package manager or the official website.
  3. Use IDE: Debug your code through IDEs. It helps simplify software development and can identify and minimize coding errors.
  4. Learn basics: Start learning the basics of Python through online resources like blogs, courses, video tutorials, etc.
  5. Implementation: Practice as much as you can. Implement the concepts as you are learning. This will help you get a better grasp on the topic and retain it for a longer time.

Here are a few topics that you must understand to learn Python fast:

  • Help in Python: help() function is for knowing how an object works.
  • Indentation: Indentation defines the scope of a code block, not curly braces.
  • Data types: tuples, lists, and dictionaries are some of the data structures used in Python.
  • Flow control statements: if, for, while, and range(<number>) are some of the control flow statements used in Python.
  • Functions and classes: def keyword for functions and for classes, it has class keyword.
  • Exceptions: Try-except performs exception handling.
  • I/O: File handling is done with the help of built-in libraries.
  • Importing libraries: Import external libraries using

import <library> or from <library> import <function> keyword.

Python Certification in Toronto, Canada

No, Python is not at all difficult to learn. Its syntax is easy to learn, read, and understand as it resembles the English language. Also, the functions and libraries offered by Python makes programming easy.

Yes, for beginners, Python is the easiest programming language to learn. Here are the top reasons that make it easy for beginners to learn Python:

  • The data structures offer an efficient and effective approach to programming.
  • Its object-oriented nature lays down a foundation for other programming languages too.
  • The built-in library decreases the complexity of the program and increases its efficiency.
  • The syntax resembles the English language which makes it easier to learn.
  • The learning curve is much more gradual than many other coding languages.
  • Several documentations are available on the language that will help you learn Python.
  • The big, open-source Python community supports its fellow developers. It is also welcoming to novice programmers.

Time taken to learn Python depends on whether you have had programming experience or not. If you have worked in some other programming language, it will take you just a month to become an expert in Python. However, if you have absolutely zero experience working in any programming language, it will take you 3 months to finish learning the language if you dedicate 4 hrs every day.

If you want to learn Python programming language, you can do so through the following 3 best ways:

  • Complete Python Bootcamp: Go from zero to hero in Python 3: This 24-hours long course offered by Udemy covers concepts like classes and decorators. You will be getting practical experience working on Python through creating games.
  • KnowledgeHut: This 24 hours of Instructor-led training by KnowledgeHut will help you learn Python Programming core concepts-control flow, operators, functions, syntax & indentations. It is suitable for beginners, intermediate learners as well as Python experts.
  • The Python Bible™ | Everything You Need to Program in Python: Another course by udemy, this project-based course has 11 projects that will help you implement concepts like variables, data structures, and loops. This course is 9 hours long.

In Toronto, Canada, a Python developer can earn about $91,841 per year.

How to Learn Python in Toronto, Canada

Here are the steps you need to follow to learn Python the right way:

  • Figure out what motivates you

You need to know why you want to learn Python. There are several areas where Python is used. Figure out where you want to work and create your end goal. Python is used in a wide range of fields, such as:

  • Data Science
  • Machine Learning applications
  • Mobile Applications
  • Games
  • Websites
  • Development of scripts in order to automate work
  • Hardware/ Robots/ Sensor development
  • Learn the basic syntax

The next step is to start learning. Cover the syntax of Python and all the basic concepts. The syntax of Python is simple, clean and easy to understand.

  • Develop Structured projects

The last step is to start implementing your knowledge by developing structured projects. You can try finding alternate solutions for existing projects or create new ones. You can also join bootcamps in Toronto to get hands-on experience developing various kinds of Python applications.

Here is a list of courses that will help you learn Python version-2:

  • Python 2 Course: This is a self-study course that has been designed for beginners as well as experts. The online interpreter allows implementation of the language.
  • Python 2.7 Tutorial: Based on the mybringback youtube channel’s Python content, this tutorial is free and concise and contains tutorial videos as well as learning material.
  • Learn Python 2: This is 22-part course made by combining two other courses - Google’s Python class and Django girl’s Python tutorial. It will take you 3 to 4 weeks to finish this course.

Python offers the following benefits over other programming languages that make it so popular:

  • Its general-purpose tasks utility allows it to power major fields like data mining, big data, and automation.
  • Since it is easy to read and learn, it can be used for academic projects and research purposes.
  • Its huge global community keeps the language and its libraries stable, bringing out newer versions of the language.
  • Python provides a more productive coding environment.
  • It can be managed by a small team effectively as Python can scale the most complex application efficiently.

The following resources are the best to learn Python:

  • Learn Python 2 - Codecademy: Learn about Python and basics of programming language with this 25 hours-long course that requires zero prerequisites.
  • KnowledgeHut: This is a 24-hr long training program offered by KnowledgeHut to help you learn Python Programming Language from basics to advanced. The course covers the core concepts of Python and also includes 3 Use Cases.
  • Real Python: Learn about implementing Python in web programming. It also covers framework used for web development like flask, Django, and web2py.
  • Learn Python, it's cake - Udemy: This 7-hours long, free course is for absolute beginners. 
  • Python for entrepreneurs: This course is for entrepreneurs who want to use Python in their business. The 19.3 hours long course costs $89 USD.

To learn Python 3 programming from scratch, follow these 5 steps:

  1. Find motivation: Find out what motivates you to learn Python. It can be any area where you want to implement your programming skills, such as web development, data science, machine learning and game programming, etc.
  2. Learning basics: Python is known for its simple programming syntax. Learn Python's syntax. You can try one of the following courses:
  3. Implementation: Start implementing your knowledge. Work on projects or take up assignments from online courses. 
  4. Social coding: Try online open-source projects. This will help build your network and understand how the industry-grade projects work.
  5. Competitions: Participate in online as well as offline competitions to improve your Python as well as problem-solving skills.

Here are the 7 steps you need to follow to learn Python for data science:

  • Step 1: Download Anaconda and set up the environment required for programming.
  • Step 2: Start learning the basics of Python and its libraries. Focus on concepts like lists, tuples, dictionaries, import and export of libraries and functions, etc.
  • Step 3: Gather the data and clean it. Use regular expressions for textual data.
  • Step 4: Learn about libraries like NumPy, SciPy, scikit-learn, matplotlib, etc that are used in data science. Use them in a project.
  • Step 5: Visualize the data using the matplotlib library to get a better understanding of it.
  • Step 6: Set up your Ml model using Python’s libraries like scikit-learn. Learn about deep learning as well.
  • Step 7: Practice. Participate in online competitions like Kaggle or work on your own projects.

Python Developer Salary in Toronto, Canada

In Toronto, a Python developer can earn about $91,841 per year.

The average remuneration of a Python developer working in Toronto per year is $91,841 which is slightly higher than the average salary in Vancouver, which is $75,439.

A Python developer in Toronto has an average salary of about $91,841. In Montreal, on the other hand, your income will be a little less; about $87,711.

The annual salary of a Python Developer in Toronto is $91,841 as compared to $74,268 in Ottawa.

Toronto is home to several leading tech companies, such as Accenture, Apple, Shopify, Intact, etc. These companies are always in search of talented professionals who have worked on Python. So, the demand for Python developers in Toronto is quite high. Companies like Pixomondo, spriceinfotech, Continental Technology Solutions Inc., Homework Help Canada, Univa Corporation, Pivot staffing, Avanciers, Chisel AI, Huntel Global, Apex Systems, Citco, Vivid Seats, etc. are looking for Python developers to join their team.

There are several benefits of being a Python developer in Toronto. The skill gap in the city has made Python developer one of the highest paying tech jobs in the city. Also, since there are several organizations incorporating data science and machine learning solutions, demand of Python developers has significantly increased.

Toronto is the technical hub of Canada. Apart from salary, you can enjoy several other perks and advantages. There will be multiple job opportunities and tremendous career growth in the city. The beautiful city is also home to several technical groups that organize Python events in the city. This helps in building your network and connecting with fellow Python developers.

The following companies are hiring Python developers in Toronto:

  • One Planet Ops
  • Randstand Canada
  • Avenza Systems
  • theScore Inc.
  • InteraXon Inc.

Python Conferences in Toronto, Canada

Conference name
1.Learn to Code: Introduction to Python - Toronto
27th August 2019
Toronto Reference Library, 789 Yonge Street, Toronto, ON M2N 5N9, Canada
2.Data Analysis using Python
Multiple dates
941 Progress Avenue, Room D2-04B, Toronto, ON M1G 3T5, Canada
3.Deep Learning 101
17th – 18th August 2019
Startuptive, 123 Edward St Suite 205, Toronto, ON M5G 1E2, Canada

  1.  Learn to Code: Introduction to Python - Toronto
    • About the Conference: This event will cover the basics of programming as well as some of its unique features. This workshop is aimed for newbies who want to learn how to code.
    • Event Date: 27th August, 2019
    • Venue: Toronto Reference Library, 789 Yonge Street, Toronto, ON M2N 5N9, Canada
    • Days of Program: 1
    • Timings: 6:00 PM to 8:00 PM
    • Registration Cost: Free
    • Who are the major sponsors:
      • Lighthouse Labs
  1. Data Analysis using Python
    • About the Conference: This workshop covers the need to analytics in the healthcare sector, Python and its libraries, and hands-on training on the data science concepts.
    • Event Date: Multiple dates
    • Venue: 941 Progress Avenue, Room D2-04B, Toronto, ON M1G 3T5, Canada
    • Number of Speakers: 1
      • Speakers: Sreekumar Radhakrishna Pillai
  1. Deep Learning 101
    • About the Conference: This workshop will provide you an introduction to all the tools, education, and tools required for solving complicated data science problems with deep learning concepts.
    • Event Date: 17th – 18th August
    • Venue: Startuptive, 123 Edward St Suite 205, Toronto, ON M5G 1E2, Canada
    • Number of Days: 2
    • Timings: 10:00 AM to 5:00 PM
    • Who are major sponsors:
      • Startuptive
      • The coding hive
Conference name
1.PyCon Canada, 2018
10th – 11th November 2018
The Design Exchange, 234 Bay Street, Toronto, ON, Canada

  1. PyCon Canada, 2018

  • About the Conference: This was a two days event and involved learning and developing an open-source project in a team. It also included writing code, fixing bugs, writing tests, and improving documentation.
  • Event Date: 10th – 11th November 2018
  • Venue: The Design Exchange, 234 Bay Street, Toronto, ON, Canada
  • Days of Program: 2
  • Timings: 8:00 AM to 6:30 PM
  • Number of Speakers: 4
  • Speakers & Profile:
    • Froilan Irizarry – Developer, recovering entrepreneur, and community builder
    • Holden Karau – Open source developer advocate at Google
    • Solmaz Shahalizadeh – VP of Data Science and Engineering at Shopify
    • Graham Toppin – VP of Applied Sciences and Research at Wave
  • Who were the major sponsors:
    • Tucows
    • Fresh Books
    • Microsoft
    • Bungalow
    • Communications Security Establishment
    • Moz://a
    • Oca community
    • Citusdaa
    •  Ada
    • Wave
    • Shopify
    • Python Software Foundation
    • DX
    • Top Hat

Python Developer Jobs in Toronto, Canada

A Python developer can earn an average of about $91,841 per year in Toronto.

Toronto is home to several leading tech companies, such as PwC, Randstad IKEA, etc and around 3,317 tech startups. Most of these companies are looking for talented Python developers to either create new systems and applications or work on the existing ones. The reason behind this is the popularity of the language as it is used in major fields like data analytics, data science, machine learning, etc.

The following companies are hiring Python developers in Toronto:

  • Game Hive
  • Givex
  • Points International
  • Workbridge Associates
  • Jobspring Partners

You can network with fellow Python developers through the following groups:

  • Python Toronto
  • Programming for everyone (Python)
  • AnyBodyCan Learn Python
  • PyLadies Toronto

As a Python developer in Python, you will be responsible for designing and developing new applications on Python, implementing high-performance applications, writing logics for data processing and computations, and protecting data by implementing security measures.

Learn Python Programming in Toronto, Canada

The main reasons for learning Python programming are:

  • Python developers earn a pretty impressive salary. Since the language is in great demand, there are also opportunities for job growth.
  • It can be used to perform operations on cross-language because of its extensibility and portability.
  • Its syntax resembles the English language that makes it simple and easy to learn.
  • Python can be used for testing and validating ideas and products. There are frameworks that are used to test debugging and fast workflows.
  • It can create smooth interfaces in desktop applications through its Tkinter library. For developing games, the ‘pygame’ module is used.

Here is how you can create your first program in Python in 4 steps:

  • Step 1: Type the command - 'Python-version' to check if Python is installed or not.
  • Step 1: Write the following code in any text editor

print “Hello world!”

  • Step 2: Save the file with .py extension like <filename>.py. 
  • Step 3: Fire up the command terminal or prompt, go to the directory where the .py file is located and use the command <filename>.py.

Output: Hello world!

The 2 different ways of running a Python program are:

  • Through a Python shell
    • Open the IDLE (Python GUI) file
    • Write the script and press enter
  • Through a file
    • Write the script in a file
    • Save the file using the ‘.py’ extension.  
    • Open the terminal.
    • Go to the directory where your file is stored.
    • Type the command
      • Chmod a+x This will tell the system that it is an executable file
    • Next, type ./ to run the program.

There are 2 ways to run a Python script on Windows:

  1. Through the Python REPL (interpreter)

Enter the REPL shell by typing Python. For this to work, the Python executable binary should be in the classpath.

  1. Running a Python program file containing the commands

Open the command prompt and visit the directory

  • For example:

>> C:\Users\y\   - For Windows

$ /usr/bin/          - For Linux (Ubuntu)

For this to work, the Python executable should be in the windows classpath.

To run Python scripts on Mac OS X, you need to follow these steps:

  • To run the scripts from the Finder or the Terminal window command line, create a script in the document editor.
  • In the case of the Terminal window, add /usr/local/bin to the shell search path.
  • In the case of the Finder, try one of the following:
    • Drag it to the PythonLauncher
    • Make PythonLauncher the default application.

Python was created in 1991. Since then it has become extremely popular and its popularity is not reducing anytime soon. Google, the corporate sponsor of Python, provides a lot of documentation that helps the programmers learn the language. Also, with the versatility of the language, it can be used in a wide range of domains like Data Science and Machine Learning.  

So, if you are living in a city like Toronto where there are several tech-based companies, you can easily find jobs with several top companies like Relevance Lab, IQ Hunt, Alithya, Capgemini, and Canadian Tire. 

Python is a high-level language that is reliable, versatile, and efficient. In fact, Python is one of the most accessible programming languages there is. One of the main reasons behind this is the simplified syntax with an emphasis on natural language. All the developers who have worked with Python will agree that it is easier and faster than any other language. Also, the code gets executed faster. With the versatility offered by Python, it is used in domains like Data Science or Machine Learning.  

That is why there are several startups looking for Python Developers to help them make the most of the available data. If you live in Toronto, you can work in the following startups that use Python for Machine Learning or Data Science:  

  • Big terminal 
  • Sumbola 
  • Via Sense 
  • Limelight Platform 
  • Analyst Finder 

The process of selecting the right Python training institute for you can be overwhelming and difficult, especially in cities like Toronto where there are several options. What you need is a course that covers the fundamentals as well as advanced concepts along with implementing real-time projects. 

Here are a few tips that will help you select the best Python training institute in Toronto: 

  • Check out the online reviews. 
  • Take a demo session at your choice of the institute. 
  • Check the course content to find out if the curriculum is theoretical or practical. 
  • Ensure that there are several mini-projects and real-time projects. 
  • Meet with the trainer for clearing any doubts that you have.

Python is an extremely popular programming language because of the simplicity, ease, and versatility it offers. The syntax is similar to the English Language. However, there is no negative impact on the powerful features of the language.  

Now is the time to enjoy the benefits offered by the language. You have to start with enrolling in a course. If you live in Toronto, there are several options to choose from. The average price of the cost is about CAD 1299. 

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Frequently Asked Questions on Python Certification Course

Python Certification Course

Python is an object-oriented, interactive programming language which is supple and allows the lucid expression of concepts in fewer lines of code than in other languages. It is widely deployed for processing text, numbers, images or scientific data, and finds popular application in many development environments. Our course will hand hold you through the various fundamentals of Python going from basic to advanced and helping you master the language in a short time. Our experienced instructors will help you understand the fundamentals and give you hands-on training in handling and delivering Python packages. You can get up to speed with the latest best practices in coding with this multi-paradigm programming language that is actively used both in industry and academic circles. Python is among the most in-demand programming languages and Python developers can earn upto $116, 379 annually. This is the best time to learn this language.

You will learn:

  • How to use the Python and its environment
  • How to use Python functions to manipulate data
  • How to use Python modules, regular expressions and object oriented concepts

By the end of this course, you would have gained knowledge on the use of Python programming language to build applications.

There are no restrictions but we recommend having basic programming knowledge.

Yes, KnowledgeHut offers python programming training online.

On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

Your instructors are Python experts who have years of industry experience. 

Finance Related

Any registration canceled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% reduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of the written request for refund. Kindly go through our Refund Policy for more details.

KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy..

The Remote Experience

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor

Have More Questions?

Python Programming Course in Toronto

With over 140 languages being spoken here, Toronto is perhaps the most multiculturally diverse city on the planet. A vibrant, fun filled place, Toronto has an underlying energy that few other cities can match. It has the best of everything?from glitzy restaurants to happening bars and friendly locals who?ll make you feel welcome whenever you visit. Financially, it is the powerhouse of Canada?s economy and houses several national and multinational companies. There are a number of banking and financial institutions as well as the Toronto Stock Exchange that is the seventh-largest in the world. Some of the predominant organizations include Royal Bank of Canada, Bank of Montreal, Bell Media, Magna International, Sun Life Financial, Torstar and several others. Canada has several theatres, museums, festival events, and sporting activities that keeps one engaged throughout the year. During the warmer months, Canadians have a blast and are out on the streets with parades, fests, music and dance performances and other activities. This is a great place to start your career and KnowledgeHut gives you several courses that will help you, such as PRINCE2, PMP, PMI-ACP, CSM, CEH, CSPO, Scrum & Agile, MS courses, Big Data Analysis, Apache Hadoop, SAFe Practitioner, Agile User Stories, CASQ, CMMI-DEV and others. Note: Please note that the actual venue may change according to convenience, and will be communicated after the registration.
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