Python Certification Training in Chicago, IL, United States

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 a high level, object-oriented programming language that is used for rapid application development as well as dynamic building. Since its syntax is similar to the English language, the language is very easy to learn, read, write, and understand. Python is highly preferred among developers because of its easy inference, extensive libraries, readability, removal of compilation step, etc.

Python was created by Guido Van Rossum in the late 80s. He was working as an ABC programming language’s implementer when he started working on a language whose scripting resembled that of ABC but also had access to the distribution system AMOEBA. He started working on the development of a programming language to overcome the flaws of ABC and later in 1991, he released the first version of the language with the name Module 3.

Python was named after the hit TV show of the 70s named ‘Monty Python’s Flying Circus’. Guido Van Rossum, the creator of the language was looking for a unique and mysterious name for his language and he was a big fan of the show. So, he named his pet project after it.

The top reasons behind the popularity of Python programming language among beginners and experts are:

  • Community: Python has a vibrant community of hundreds of developers from all around the world. They share tips and tricks regularly. There are also several projects available that you can easily integrate into your own projects.
  • Corporate sponsor: The corporate sponsor of Python is Google. It updates Python guides and tutorials regularly to help beginners learn the programming language.
  • Academics: Due to its usability in general-purpose tasks, Python is extensively used in academic and research purposes. The language is also commonly used in the field of data science, machine learning, etc.
  • Efficiency: Its versatility and efficiency is another reason behind its popularity. It can easily deploy in any environment with no loss in performance.
  • Learning: It is very easy to learn as its syntax is similar to the English language.

The top reasons why you should start learning Python are:

  • Ease of learning: The syntax of Python is very easy to learn since it resembles the English language.
  • General-purpose: It can be used in several applications of web development, cloud computing, data science and machine learning projects, etc.
  • Big community: Developers of the Python community have been responsible for several stable packages of Python.
  • Flexibility: It can be easily implemented with other languages which makes it a very flexible language. 
  • Business use: As more and more companies are shifting towards the data-driven decision making, the demand of Python developers is also increasing.

As a beginner, you need to follow these 5 steps to get started with Python:

  1. Understand why Python: First step is to focus on why you want to learn the language. This will help you stay motivated during the process.
  2. Install Python: Visit the official website of Python or get the anaconda package manager to download the Python’s latest version.
  3. Use IDE: For debugging the code, you can use the IDEs. Understand the errors that you get, this will help you in learning.
  4. Learn basics: There are several courses and video tutorials available online that will help you understand the basics of Python.
  5. Implementation: Once you get familiar with the syntax of Python, start writing programs. Slowly move on to creating your own projects. You can take help from assignments available online.

Here are a few topics that will help you learn Python quickly:

  • Help in Python: The help() function can be used to see the working of an object.
  • Indentation: For defining the scope of a code block, indentation is used in place of curly braces.
  • Data types: Focus more on data structures provided by Python like lists, tuples, and dictionaries.
  • Flow control statements: These include - if, for, while, and range(<number>).
  • Functions and classes: def keyword is used for functions and for classes, class keyword is used.
  • Exceptions: Exception handling is performed by try-except.
  • I/O: Built-in libraries are used for file handling.
  • Importing libraries: To export external libraries in your Python program, use the following:

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

Python Certification in Chicago, Illinois

No, the Python programming language is very easy to learn as compared to other programming languages. It is very easy to read, learn, write, and implement as its syntax has similarity with the English language. Also, the built-in functions and the libraries offered by the Python makes a developer’s job easy and efficient.

Python is considered an easy programming language for beginners to learn. Here are the top reasons why:

  • The data structure provides a simple, yet efficient approach to coding.
  • Since it is object oriented in nature, it will help in creating a base for other object-oriented programming languages.
  • It is very easy to learn.
  • It increases efficiency, saves time, and decreases complexity through its functions and libraries.
  • It has a gradual learning curve.
  • There are several tutorials available online that will help you learn Python fast and free.

If you have zero experience in any programming language, it will take you about 3 months to learn the language, provided you devote 4 hours a day. If you are familiar with any other programming language, it will take you a month to become an expert in Python.

Here are the 4 best ways to learn the Python programming language in 2019:

How to Learn Python in Chicago, Illinois

Here is the right way to start learning Python:

  • Figure out what motivates you: Staying motivated is important to finish what you started. You need to figure out your field of interest in which you will be implementing your programming skills like data science, games, developing scripts for automating work, hardware/sensor/robot development.
  • Learn the basic syntax: The next step is to start learning the syntax of Python. It has an easy syntax so it won’t take you a long time to learn it. After this, start implementing your knowledge by creating programs.
  • Develop Structured projects: The last step is to start creating projects. You can either work on your own projects or find alternate solutions for already solved problems.

If you want to learn Python Version-2, below are the 3 best ways to do so:

  • Python 2 Course: This self-study course is meant for all, beginners, intermediate-learners, and experts. The website offers an online Python interpreters through which you can get the hands-on experience of Python. There is an option to download the course.
  • Python 2.7 Tutorial: This course is based on the content offered by ‘mybringback’, a YouTube channel. It is a concise course containing video-based tutorials that are available for free.
  • Learn Python 2: This is a combination of 2 Python courses – Django’s girl Python tutorial and Google Python course. This free, 22-part course covers all the basic and advanced topics and can be completed in 4 weeks.

The top 5 benefits of learning Python over other programming languages are:

  • Its general-purpose tasks usability allows it to power platforms like big data, automation, and data mining.
  • It can be used for programming and research purpose as it is easy to work with.
  • Its global community keeps its packages maintained and updated according to the latest market trends.
  • Frameworks like Ruby on Rails, Django, etc. that are used for smoothly carrying out the development process use Python.
  • It creates a more productive coding environment as it is more organized.

If you want to learn Python, here are the 5 best resources that can help you:

  1. Learn Python 2 - Codecademy: This course is for beginners.It covers all the basics of the language and takes about 25 hours to complete.
  2. KnowledgeHut: This certification program provided by KnowledgeHut will help you get an in-depth knowledge of basic concepts of Python as well as implement the acquired knowledge on live Projects. It is suitable for beginners, intermediate learners as well as Python experts.
  3. Real Python: This course will help you in learning the fundamentals of Python and how it can be used in web programming. You will also get a clear understanding of frameworks like Django, flask, and web2y.
  4. Learn Python, it's cake - Udemy: This beginners course by Udemy will help you get started with Python. You will need 7 hours to finish this course.
  5. Python for entrepreneurs: If you are looking to use Python in your business, you need to take up this course. It costs about $89 and will take about 19.3 hours to finish.

If you want to learn Python 3 programming from scratch, you need to follow the below-mentioned 5 steps:

  • Find motivation: Figure out what motivates you to learn. Python is used in many domains and you need to find out the one that interests you. Examples of such domains include web development, game development, data science, and machine learning.
  • Learning basics: The next step is to start learning the syntax. You can try one of the following to learn the basics of Python:
  • Implementation: Once you have learnt the basics of Python, you need to start implementing that knowledge. Start with easy codes and move on to complex ones later.
  • Social coding: To get an understanding of how the projects work in real-world, you should try a few open-source projects that you can easily find online. This will not only help you work on your skills but also help build your network.
  • Competitions: There are several competitions conducted all across the globe where you can practice your programming skills. It is a great way for developing out-of-the-box thinking.

Here is how you can learn Python for data science in 7 easy steps:

  • Step 1: The first step is installing Python on the system with all the tools and the right environment.
  • Step 2: Cover the basics of Python. Start with the syntax and move on to data structures and libraries.
  • Step 3: In this step, you will be performing data cleaning. This involves correcting the input data and preparing it for analysis.
  • Step 4: You need to start learning data science libraries that will help you in your projects. Examples of such libraries are NumPy, matplotlib, SciPy, scikit-learn, etc.
  • Step 5: This step involves data visualization. You have to use matplotlib library for this.
  • Step 6: This step involves implementing machine learning algorithms on the data that you cleaned and prepared. Scikit-learn library is one of the many libraries offered by Python to help you with your ML model. You will also need deep learning skills.
  • Step 7: Practice your skills. You can try working on projects or participating in online competitions.

Python Developer Salary in Chicago, Illinois

The average annual salary of a Python Developer in Chicago is $118,878 as compared to $124,145 in Boston. 

The average salary of a Python developer in Chicago is $118,878, while in Washington, they earn an average salary of  $115,366 per year.

In Chicago, a Python developer can earn about $118,878 per year as compared to $131,981 in New York.

A Python developer earns an average salary of about $118,878 per year as compared to $118,084 in Rockford.

The average annual salary of a Python developer working in Chicago is $118,878 whereas the average salary is $113,000 in Peoria. 

In Chicago, a Python developer can earn about $118,878 per year. In Springfield, this salary is about $92,063 per year. 

In Illinois, Python developer is one of the best jobs in the IT sector. Every company, including startups and big corporations, like Bank of America, Datacubes, State Farm, Nokia, GCE Solutions, Grubhub, Booz Allen Hamilton, Ryerson, Capgemini, etc. are looking for Python developers to develop software solutions.

There are several tech companies in Chicago that are willing to offer handsome salaries and added bonuses to Python developers. There are also several startups in Chicago which means you will have the opportunity to work on a project from scratch.

Chicago offers several advantages to Python developers. This city hosts several Python meetups, tech talks, and conferences where you can network with other fellow developers. Also, since it is a simple language, most companies prefer it for their projects. So, you will have a wide domain of fields to choose from. The cost of living in Chicago is also slightly less than living in big cities like Manhattan.

The companies in Chicago looking for data scientists include Akuna Capital, Google, Bank of America, Old Mission Capital, Chicago Trading Company, Northern Trust Corp., Nielsen, Citadel Securities, Mintel, Old Mission Capital, etc.

Python Conferences in Chicago, Illinois

S.NoConference nameDate
1.Write a Compiler (in Python)
26-30th August, 2019
Dabeaz LLC, 5412 N Clark Street #218, Chicago, IL
2.Python Programming 101
13th August, 2019
Practical Programming Chicago, 29 E Madison, Suite 1620, Chicago, IL

1. Write a Compiler (in Python)

  • About the Conference: This conference covers developing a compiler for Python. The major topics that will be covered in this workshop are regular expressions, abstract syntax trees, parsing and parser generators, generating code, optimization, etc. After the workshop, you will be able to create a compiler that can target Web Assembly without any tools.
  • Event Date: 26-30 August, 2019
  • Venue: Dabeaz LLC, 5412 N Clark Street #218, Chicago, IL
  • Days of Program: 5
  • Timings: 09:30 AM to 05:30 PM
  • Registration Cost: $2500
  • Who are the major sponsors:
    • Dabeaz LLC

2. Python Programming 101

  • About the Conference: This workshop is for beginners who want to start learning Python programming language. You don’t need to have any programming experience to attend this workshop. It will cover all the fundamentals of Python including the built-in data structures.
  • Event Date: 13th August, 2019
  • Venue: Practical Programming Chicago, 29 E Madison, Suite 1620, Chicago, IL
  • Days of Program: 1
  • Timings: 06:00 PM to 09:00 PM
  • Who are the major sponsors:
S.NoConference name
1.GOTO Chicago, 2017
1-2 May 2017
Swissotel Chicago, 323 E Wacker Dr, Chicago, IL
2.Escape Conference
6th May 2017
Robert Morris University’s Chicago Campus 

1. GOTO Chicago 2017

  • About the Conference: This conference helped attendees learn about the latest trends of the industry. Created by developers for developers, this workshop covered all aspects of software development and introduced technologies like Virtual Reality and Machine Learning.
  • Event Date: 1-2 May, 2017
  • Venue: Swissotel Chicago, 323 E Wacker Dr, Chicago, IL
  • Days of Program: 2
  • Number of Speakers – 7
  • Speakers and Profiles:
    • Bridget Kromhout – Co-host of Arrested DevOps Podcast & Principle Cloud Developer Advocate at Microsoft
    • Chris Heilmann – Senior Program Manager Developer Experience & Evangelism at Microsoft
    • Dan North – Originator of Behavior Driven Development (BDD) & Principal Consultant
    • Linda Rising – Queen of Patterns. Author of numerous books
    • Martin Fowler – Author, speaker, and consultant on software development
    • Nicole Forsgren – CEO & Chief Scientist, DevOps Research and Assessment (DORA)
    • Sam Newman – Author of O’Reilly’s “Building Microservices”
  • Who were the major sponsors:
    • Atomist
    • CA Technologies
    • Cloud Academy
    • Expedia
    • Gogo
    • Humio
    • MorningStar
    • Tempus
    • ThoughtWorks
    • Hyatt
    • Postmark
    • Hazelcast
    • Lightbend
    • Solace
    • Uptake
    • Span tree
    • Honeywell
    • Microsoft

2. Escape Conference 2017

  • About the Conference: The conference brought together sports analytics and data science. It featured keynote speakers, demonstrations, case studies and open forums for the developers to discuss the new trends in the field of data mining, cloud computing, visualization, and predictive modeling technologies.
  • Event Date: 6th May, 2017
  • Venue: Robert Morris University’s Chicago Campus
  • Days of Program: 1
  • Number of Speakers: 1
  • Speaker and Profile:
    • Gautam Kotwal – VP of Analytics, Data Platform & Data Science Engineering at Kohl’s Department Stores
  • Who were the major sponsors:
    • Microsoft
    • Tableau
    • STATS
    • Salesforce
    • Northwestern School of Professional Studies
    • Illinois Institute of Technology
    • Robert Morris University, Illinois

Python Developer Jobs in Chicago, Illinois

A Python developer can earn an average of about $118,878 per year in Chicago. 

Chicago is home to 12 Fortune 500 companies, such as Motorola Solutions, Conagra Brands, and Boeing. Most of these companies prefer to use the Python language to develop software solutions. The reason is simple because of the ease of deployment and how easy Python is to maintain. Python is also extensively used in several domains like data science, machine learning, artificial intelligence, etc. So naturally, the scope of Python developers in Chicago is high.

 In Chicago, the following companies are looking for Python developers:

  • Mitchell/Martin, Inc.
  • Bank of America
  • Collabera
  • Workbridge Associates
  • Advance Search

To meet fellow Python developers in Chicago, you can try the following groups:

  • ChiPy: Chicago’s Official Python User Group
  • Data Science Dojo - Chicago
  • Coding Dojo | Chicago
  • Chicago Python Meetup
  • Chicago Pythonistas

As a Python developer, you will be responsible for the following:

  • Writing code
  • Designing applications
  • Writing server-side code
  • Creating logics for data processing and computation
  • Protecting data by implementing security measures

Learn Python Programming in Chicago, Illinois

Below are some reasons to learn Python programming in Chicago:

  • Popularity and potential for high salaries: Chicago is home to several leading tech companies and around 2000 startups, including Uptake, Tempus, Raise, Signal, Higi, etc. In Chicago, the average annual salary of a Python developer is $118,878 per year.
  • Extensible and portable: Python can be used for performing cross-language operations smoothly because of its portability and extensibility. The language supports some major platforms like Macintosh, Linux, PlayStation, and Solaris.
  • Simple and Easy to learn: Python is very easy to learn. Its syntax is similar to the English language. Also, it is a high-level, interpreted language that is supported by its open-source, global, active community of developers.
  • Web Development: Python is used in different frameworks that allow web development. Also, since these frameworks are built on Python, using Python will make the whole process faster and stable.
  • Testing Framework: Python is also used for validation of ideas and products. It also facilitates faster workflow and debugging.
  • Computer Graphics: For graphics, you can use the ‘Tkinter’ library. Also, for developing games, you can use the ‘pygame’ module.
  • Scripting and Automation: In Python, the code is in the form of an executable script. It is read and interpreted by the machine.

To create your first program in Python, follow these steps:

  • Step 1: The first step is to check if Python is installed in your system or not. Use the following command:

Python --version

  • Step 2: Open any text editor and type in the following code:

print “Hello world!”

  • Step 3: Save the file as <filename>.py.
  • Step 4: Open up the command prompt or the terminal. Go to the directory where the script is saved and use the following command:


Output: Hello world!

There are 2 different ways to run a Python program:

  • In a Python shell
    • Fire up the IDLE (Python GUI) file
    • Write the Python script and press enter
  • Python program stored in a file
    • Type the script in an independent file and save it with the ‘.py’ extension.
    • Fire up the terminal and go to the directory where the file is stored.
    • Write the following command
    • Chmod a+x It tells the system that it is an executable file
    • Next, type the name of the file for running it, ./

Here is how you can run a Python script on Windows:

  • Python REPL (interpreter)
    • To enter the REPL shell, type Python.
    • Start writing your script
  • The program file containing the commands
  • Open a command prompt and type in the location of the file:

>> C:\Users\y\  - For Windows

$ /usr/bin/  - For Linux (Ubuntu)

This will start the execution of the file.

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

  • Type the script in the document editor and save it.
  • Add /usr/local/bin in the shell search path to run Python scripts from the terminal window.
  • To run Python scripts from the finder, there are 2 ways:
    • Drag it to the PythonLauncher
    • Select PythonLauncher as the default application for opening the script. 
  • To run the scripts with GUI, while initializing the scripts, use Python.

Python Applications

Here are the top 4 applications of Python programming language in the real-world:

  1. Web application development: Python helps in maintaining a smooth communication between protocols, content management, and interfaces. It uses frameworks like Django, Bottle, Flask, and Pyramid to do the same.
  2. Academics: There are several libraries offered by Python that makes them useful for research and academic purposes. Some of these libraries are NumPy, Pandas, matplotlib, SciPy, Scikit-learn.
  3. GUI-based applications: To create smooth interfaces in desktop applications, you can use the Tkinter library of Python.
  4. Business and enterprise applications: Python offers extensibility, readability, and scalability that make it useful in supporting large applications. For this, Odoo and Tryton are used.

The top 4 companies that use Python in Chicago, Illinois include:

  • Akuna Capital
  • Google
  • Old Mission Capital
  • Chicago Trading Company (CTC)

Python Setup

Python is not dependent on the platform it is running on. To run Python scripts on the system, you need to install Python on your system and the installation process will depend on your operating system. However, if you have written the script, you won’t require anything else to run it.

Here is what you need to do to download and install Python 3 in windows:

  • Go to the home page of Anaconda
  • Select the anaconda tab. After that, go to the download page by selecting the download tab.
  • Select the download according to the operating system you are working on.
  • Install Anaconda
    • Select the downloaded Anaconda file.
    • The Anaconda installation wizard will install the complete anaconda package in less than 10 minutes.
  • Initialize and update Anaconda
    • To launch the Anaconda Navigator, the graphical tools of the Anaconda Python package, go to the application launcher. From the application launcher window, select the Conda option.
    • For confirming the installation of Conda, type in the command line
      • Conda -V
    • To check if Python is installed in the system or not, use the following command:
      • Python -V

For downloading and installing Python on Mac OS X, you need to follow these easy steps:

  1. Install Xcode: The first step is to install Xcode. Type in the following command.

$ Xcode-select --install

  1. Install brew: Next step is to install the Apple’s package manager Homebrew. Here is what you need to use:

/usr/bin/ruby -e "$(curl -fsSL"

Type in the following command to confirm the installation: brew doctor

  1. Install Python 3: The last step is the installation of Python. Use the following code:

brew install Python.

Python 2.7 and Python 3.5 are preinstalled in Ubuntu LTS. However, if your system doesn’t have it or you want the latest version, this is what you need to do:

  • Update the apt-get package by using the following command in the terminal:

$ sudo apt-get update

  • For installing Python 3.6, use the below command

$ sudo apt-get install Python3.6

  • To run Python 3.6, type in the following command:

$ Python3

If you are just getting started in the field of programming, Python should be your language of choice. Several developers will agree that Python is among the easiest programming languages to work with. It writes and reads like the English language. Also, Python can be used in a wide range of domains like Web Development, Mobile or Desktop Applications, Internet of Things (IoT), Data Science, Machine Learning, Artificial Intelligence, and many more. 

The versatility offered by Python is the reason why several tech giants use it for their large and small scale projects. As a Python Developer, you will have no shortage of employment opportunities.

Here are some of the top companies hiring Python Developers in Chicago: 

  • Akuna Capital  
  • Zumper 
  • Sandstorm 
  • Old Mission Capital 
  • PayPal 

With the rise of Big Data and Data Science, the scope for Python programmers has increased as well. More and more startups are understanding the importance of analyzing data to make business decisions and are in need of Python Developers. Python is the most popular language used for Data Science and Machine Learning.  

The simplicity, efficiency, and versatility that Python offers are unmatched. With expertise in it, you can surely find a job easily, especially in a city like Chicago that is home to several tech-based startups.

Here are a few startups in Chicago that use Python for Machine Learning and Data Science: 

  • Intellias 
  • ScienceSoft USA Corporation 
  • Light IT 
  • XenonStack 
  • Consagous Technologies

In Chicago, there are several Python training institutes for professionals. Here are a few tips to help you find the best one: 

  • Find the domain you are interested in - Python is a versatile programming language that can be used for different domains like Web Development, Desktop & Mobile Applications, Data Science, Machine Learning, and others. Knowing which domain you want to work in will help you enroll in a more specific course. 
  • Select some authorized training institutes - Do an online search to find the best training institutes in the city. Check the online reviews and request for a visit and demo session. 
  • Check the trainers and the infrastructure - Your trainer must have industry experience. Only then will you be prepared for a career as a Python programmer. Also, the institute must offer theoretical as well as practical knowledge to the students. 
  • Check for combos - While looking for a Python course, you can find one combo that suits the domain you want to work in. For example, Python for Data Science is a suitable choice for someone who wants to work in the field of Data Science, ML, or AI. 

Python is a popular programming language that is often used in areas like Data Science, Machine Learning, and Artificial Intelligence. With several built-in libraries, Python is able to offer a lot of functionalities a Data Scientist might need. A few of these include NumPy, SciPy, Pandas, and matplotlib. 

Apart from this, Python is also a popular choice for the field Internet of Things (IoT), Web Development, and others. So, as a Python Developer, you will have a multitude of employment opportunities in cities like Chicago that are home to several tech-based companies. A Python course will help set you apart from the crowd. The average cost of a Python course in Chicago is USD 1199. 

reviews on our popular courses

Review image

I would like to thank the KnowledgeHut team for the overall experience. My trainer was fantastic. Trainers at KnowledgeHut are well experienced and really helpful. They completed the syllabus on time, and also helped me with real world examples.

Elyssa Taber

IT Manager.
Attended Agile and Scrum workshop in June 2020
Review image

The course which I took from Knowledgehut was very useful and helped me to achieve my goal. The course was designed with advanced concepts and the tasks during the course given by the trainer helped me to step up in my career. I loved the way the technical and sales team handled everything. The course I took is worth the money.

Rosabelle Artuso

.NET Developer
Attended PMP® Certification workshop in August 2020
Review image

The workshop was practical with lots of hands on examples which has given me the confidence to do better in my job. I learned many things in that session with live examples. The study materials are relevant and easy to understand and have been a really good support. I also liked the way the customer support team addressed every issue.

Marta Fitts

Network Engineer
Attended PMP® Certification workshop in May 2020
Review image

This is a great course to invest in. The trainers are experienced, conduct the sessions with enthusiasm and ensure that participants are well prepared for the industry. I would like to thank my trainer for his guidance.

Barton Fonseka

Information Security Analyst.
Attended PMP® Certification workshop in July 2020
Review image

The course materials were designed very well with all the instructions. The training session gave me a lot of exposure to industry relevant topics and helped me grow in my career.

Kayne Stewart slavsky

Project Manager
Attended PMP® Certification workshop in June 2020
Review image

I am really happy with the trainer because the training session went beyond my expectations. Trainer has got in-depth knowledge and excellent communication skills. This training has actually prepared me for my future projects.

Rafaello Heiland

Prinicipal Consultant
Attended Agile and Scrum workshop in April 2020
Review image

The workshop held at KnowledgeHut last week was very interesting. I have never come across such workshops in my career. The course materials were designed very well with all the instructions were precise and comprehenisve. Thanks to KnowledgeHut. Looking forward to more such workshops.

Alexandr Waldroop

Data Architect.
Attended Certified ScrumMaster (CSM)® workshop in January 2020
Review image

The Trainer at KnowledgeHut made sure to address all my doubts clearly. I was really impressed with the training and I was able to learn a lot of new things. I would certainly recommend it to my team.

Meg Gomes casseres

Database Administrator.
Attended PMP® Certification workshop in January 2020

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 Chicago, IL

It is known by many monikers that reflect the feelings and views about a historical and modern Chicago. The best-known is the Windy City. The city distinguishes itself as having one of the biggest and most wide-ranging collections of Impressionist and Post-Impressionist paintings after Musee d?Orsay in Paris. Incorporated as a city in 1837, Chicago has experienced rapid growth and today, it is an international zone for finance, commerce, technology, industry, telecommunications, and transportation. Chicago?s O-Hare International Airport is the busiest airports in the world. Today, the city has grown to be a major world financial center, with the second largest central business district in the US. Home to major financial and futures exchanges such as the Chicago Board Options Exchange and Chicago Stock Exchange, it is also the headquarters of several reputed commercial and retail banks like Chase Bank. Professionals who wish to take a leap ahead in their career would find that they can do well here with certifications such as PRINCE2, PMP, PMI-ACP, CSM, CEH and others. Note: Please note that the actual venue may change according to convenience, and will be communicated after the registration.