Python Certification Training in Boston, MA, 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

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

1

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. 

2

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.

3

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. 

4

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.

5

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. 

6

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. 

7

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.

8

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.

9

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.

10

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.

11

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.    

12

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.

13

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. 

14

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.

15

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.

16

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.  

17

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.

18

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.

19

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.

20

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. 

21

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.

22

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.

23

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.

24

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. 

25

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.    

26

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.

27

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.

28

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. 

29

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.

30

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.

31

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.

32

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.

33

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.

34

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

3 Months FREE Access to all our E-learning courses when you buy any course with 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.

Meet your instructors

Sukesh

Sukesh Marla

Founder

Irrespective of project size I believe in working as a team. We are a team of highly qualified engineers with each specializing in their own field like designing, testing and development.
Working in a team ensures the work is not affected in case of any eventuality of any of team member. This guarantees timely delivery.

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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

Tic-Tac-Toe

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

Calculator

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

Hands-on:

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

Hands-on:

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

Hands-on:

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

Hands-on:

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

Hands-on: 

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

Hands-on:

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

Hands-on:

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

Hands-on:

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

Hands-on:

Write Python code to construct a class and define objects.

Learning Objective: 

Study Use Cases to explore Python

Topic Covered:

  • Use Case

Hands-on:

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

Python Certification Process

What is Python

Python is a programming language that is high-level, interpreted, and object oriented. It uses dynamic semantics for rapid application development. Python also provides many frameworks including Django, Flask, Electron, Pylons. The interpreter and the libraries offered by Python makes it very popular among developers.

Guido Van Rossum first conceptualized Python in the 1980s. At that time, he was working as an implementer of the ABC programming language at the National Research Institute of Mathematics and Computer Science. He wanted to create a language whose syntax resembled the ABC language and had access to the AMOEBA system calls. So, in 1991, he introduced the first version of the language under the name ‘Modula 3’.

Python was named after the hit BBC comedy show of the 1970s, Monty Python’s Flying Circus. Guido Van Rossum, the creator of the Python, was a big fan of the show and was looking for a name for his pet project that was short and unique. So, he picked the name ‘Python’.

Python is undoubtedly one of the most popular programming languages for beginners and expert programmers. The top 5 reasons behind the popularity of Python are:  

  • Community: Python has the support of its big, global, open-source community. You can find several projects online that you can use in your own project. 
  •  Corporate sponsor: Google supports and sponsors various Python events. It also updates the tutorials and guides for Python regularly.
  •  Academics: Python is extensively used for research purposes due to its general-purpose tasks utility. It also powers fields like data science, machine learning, etc.
  •  Efficiency: It is a very versatile language. It can be deployed in any environment with minimal to no performance loss which makes it very efficient.
  •  Learning: Python has a gradual learning curve that makes it easy for any newbie programmer to learn and start coding.

The top reasons to learn Python are:  

  • Ease of learning: It has a syntax resembling the English language that makes it very easy to learn. If you have experience programming in other languages, it will not take you not more than a month to become an expert in Python.
  • General-purpose: Python is used in several fields including cloud computing, web development, data science, machine learning, etc. due to its general purpose nature.
  • Big community: The open-source community offers several packages that help keep the language stable and updated.
  • Flexibility: It can be used with other programming languages as well which makes it very flexible.
  • Business use: Since it helps in making data-driven decisions through data  science, it is becoming more and more popular among the non-technical professionals.

To get started with Python, you need to follow the below-mentioned 5 steps :  

  1. Understand why Python: Find your motivation. Create a list of goals you want to achieve after learning Python. 
  2. Install Python: Install Python on your system. There are two options to do so, the official website or the Anaconda package manager.
  3. Use IDE: Use IDEs to debug your errors.
  4. Learn basics: Start learning the basic concepts of Python. You can find several blogs, videos, and courses that can help you learn Python.
  5. Implementation: It is very important to implement your coding skills. You can either try assignments from the courses or build your own project.

Here is a list of few topics you need to understand to learn Python fast:  

  • Help in Python: The help() function tell you how an object works.
  • Indentation: The code block’s scope is not defined using curly braces, but through indentation.
  • Data types: Knowledge of data structures like tuples, lists, and dictionaries is important to learn Python. 
  • Flow control statements: These includes control flow statements like if, for, while, and range(<number>).
  • Functions and classes: def keyword is used for functions and for classes, it has class keyword.
  • Exceptions: Exception handling is done using Try-except.
  • I/O: Built-in libraries deal with File handling.
  • Importing libraries: To import external libraries, use

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

Python Certification in Boston, MA

No. Python has a very easy syntax similar to the English language that makes it easy to learn. Programming in Python is easy and efficient; thanks to its inbuilt library and built-in functions. 

Yes, Python programming language is easy to learn for beginners. Here are the 7 reasons why:  

  • It offers efficient programming due to its data structures.
  • It provides a base for other programming languages like Java since both of them are object-oriented.
  • The built-in library decreases complexity, increases efficiency, and saves time.
  • Its syntax resembles the English language that makes it easy to learn.
  • It has a short learning curve.
  • There are a lot of resources available online which can help you learn Python.
  • It is supported by a big, global, open-source community.

If you have absolutely zero experience in programming, it will take you about 3 months to completely learn Python. If you are an experienced programmer, you will need just 1 month to advance from a newbie to an expert in Python.

If you want to learn Python programming, here are the 4 best ways to do so:  

  • Complete Python Bootcamp: Go from zero to hero in Python 3: This course by Udemy is to help the beginners in Python become an expert. The 24-hour long course will help you learn classes, decorators, etc. and get a hands-on experience with the language.
  • KnowledgeHut: This course by KnowledgeHut will help you learn Python Programming Language from Basics to Advanced. The course includes its core concepts, including control flow, operators, functions, syntax & indentations and also offers 22 hours of hands-on practical sessions.
  • The Python Bible™ | Everything You Need to Program in Python: This 9-hour long, project based course by Udemy covers variables, data structures, and loops. 
  • Google's Python Class: This course covers the fundamentals of Python and some advanced libraries like HTTP, IO, etc. through written materials, lectures, and coding exercises.

The average annual salary of a Python developer in Boston is $124,145.  

https://www.indeed.com/salaries/Python-Developer-Salaries,-Boston-MA 

How to Learn Python in Boston, MA

Here is how you can start learning Python the right way:    

  • Figure out what motivates you: You need to know why you want to learn Python. This will help in creating an end goal that will keep you motivated. You can focus on any one of the areas where Python is used like developing games, websites, mobile applications, sensor/robots, and powering fields like machine learning, data science, automation, etc.
  • Learn the basic syntax: The next step is to start learning the basic concepts of syntax. Python is considered an easy language so it won’t take much time for you to learn it and start developing basic Python programs.
  • Develop Structured projects: The last step is to start building structured projects. This is the best way to learn Python as nothing will help you understand the language better than implementing it in a project. Working on some big projects or creating your own will help build your portfolio too.  

The 3 best ways to learn Python Version-2:  

  • Python 2 Course: It is self-study course that allows you to learn the language at your own pace. The course contains advanced topics that makes it suitable for beginners as well as experts. There is also an online interpreter that will help you in practicing. You can even download the whole course.
  • Python 2.7 Tutorial: This tutorial is based on the Python content of the YouTube channel, mybringback. It is a free, concise tutorial with video lectures and additional materials.
  • Learn Python 2: It is a 22-part course made from two courses – Django girl’s Python tutorial and Google’s Python class. The course covers topics like dictionaries, lists, regular expressions, sorting, file I/O, Python 2 utilities, etc. in about 3 to 4 weeks.

There is no doubt that Python is the most popular programming language currently. So, there are several benefits of learning the language, such as:  

  • Python can be used for general purpose tasks which make it better in powering major platforms like big data, automation, and data mining.
  • It is easy to learn, read, and implement which makes it suitable to be used by researchers.
  • The community of Python keeps the language maintained and updated according to the latest trends.
  • Frameworks like Django, Ruby on Rails, etc. used in the development process are powered by Python.

There is so much documentation and tutorials available on Python, some of which are not well maintained. Here we have compiled a list of 4 best resources to learn Python:  

  • Learn Python 2 - Codecademy: This 25-hour long course doesn’t require any prerequisites. During the course, you will learn the fundamentals of the language.
  • Real Python: This course covers the basics of Python as well as its implementation in web development. You will be learning about the frameworks that are used in web development like web2py, Django, Flask, etc.
  • Learn Python, it's cake - Udemy: This 7-hour long, free course is made for people with no prior experience in coding in any language. 
  • Python for entrepreneurs: Built for entrepreneurs, this course explains how Python can be used in startup. It is a 19.3 hours long course that costs $89 USD.

Here is how you can learn Python 3 programming from scratch in 5 steps:  

  • Find motivation: Find what motivates you to learn Python. There are several fields in which Python is used and you need to find out in which one you want to work. Some examples of fields powered by Python include data science, machine learning, web development, and game programming.
  • Learning basics: The next step is to start learning the basics of Python. The language has an easy syntax so it won’t take you a long time to learn it. You can try one of the following courses:
  • Implementation: In this step, you need to start implementing your theoretical knowledge. You can try working on small projects. 
  • Social coding: Now, to get an understanding of how industry grade projects, you can take some online, open-source projects. This will also help in making professional connections that will help you in the future.
  • Competitions: Participate in competitions as they not only improve your coding skills but also your problem-solving skills.

If you want to work in the field of data science, learning Python is a must. Here is how you can do so in 7 steps:  

  • Step 1: Download Anaconda and set up the environment needed for programming in Python.
  • Step 2: Start learning the basics. This includes lists, dictionaries, tuples, libraries and function’s import/export, etc. 
  • Step 3: This is where the data science part of your project begins. Gather the data required for the project. Clean it and prepare it for analysis.
  • Step 4: Study the data science libraries like NumPy, SciPy, scikit-learn, matplotlib etc. You will be needing these for building your project.
  • Step 5: This step involves using graphs and charts for visualizing the data. Matplotlib library of Python is used for this. This will help you get a clear understanding of the dataset.
  • Step 6: You will need machine learning skills to create and train the model. To set up the model, Python offers libraries like Sci-kit learn.
  • Step 7: Keep practicing. There are online competitions like Kaggle that can help you work on your data science skills.

Python Developer Salary in Boston, MA

If you are a Python developer in Boston, you can expect an income of about $124,145 per year.

 https://www.indeed.com/salaries/Python-Developer-Salaries,-Boston-MA 

A Python developer earns about $124,145 per year in Boston as compared to $118,878 earned by a Python developer in Chicago.

  https://www.indeed.com/salaries/Python-Developer-Salaries,-Chicago-IL 

The average salary of a Python developer in Boston is $124,145, which is higher than in Washington, which is $115,366.  https://www.indeed.com/salaries/Python-Developer-Salaries,-Washington-DC 

From cybersecurity to robotics, Boston’s tech sector is constantly blossoming. There are several tech companies like Boston Dynamics, IBM, Google, Bose, Raytheon, PayPal, Casa Systems Inc., EverQuote, DataOne, etc. working on projects that require Python developers. This has resulted in an increase in demand for Python developers in Boston.

Python is one of the most popular programming languages. So naturally, Python developers are quite in demand right now. This has led them to earn a hefty salary. The more experienced you are, the more attractive your salary and bonuses will be. The average salary for a Python Developer is $124,145 per year in Boston, MA, which is 7% above the national average. 

With so many tech companies looking for Python developers in the city, there are several options for developers. Also, there are several tech talks, conferences, and meetups organized for Python developers. The city also has many of the top STEM schools in the country, hence a large amount of tech research and development is taking place locally.

The companies hiring Python Developers in Boston are Akuna Capital, Draper, Mathematica Policy Research, Granite Telecommunications, Boston Dynamics, Tulip, Accenture, Intrepid Pursuits, etc.

Python Conferences in Boston, MA

S.NoConference nameDateVenue
1.Intro to Python: Fundamentals5 August, 2019Workbar – Back Bay, 399 Bolyston Street, Boston, MA
2.Data Science I: Essential Tools - Boston
13-15 November, 2019
Metro Meeting Centers – Boston, 101 Federal St, Boston, MA

1. Intro to Python: Fundamentals

  • About the Conference: If you are curious regarding what Python is and how it can take you to the next level of data analysis, this event is for you. During the workshop, you will explore functions, variables, and data structures. Also, you will cover the basic concepts of data science.
  • Event Date: 5 August, 2019
  • Venue: Workbar – Back Bay, 399 Boylston Street, Boston, MA
  • Days of Program: 1
  • Timings: 06:30 PM to 08:00 PM
  • Registration Cost: Free
  • Who are the major sponsors:
    • Thinkful

2. Data Science I : Essential Tools - Boston

  • About the Conference: This conference aims to help the participants learn the skills of Python and the power of data science. It provides the foundation that you will need to overcome the limitations of spreadsheets and encourage automating tasks and data-driven decision making.
  • Event Date: 13-15 November 2019
  • Venue: Metro Meeting Centers – Boston, 101 Federal St, Boston, MA
  • Days of Program: 3
  • Timings – 09:00 AM to 04:30 PM
  • Registration Cost - $2,585 - $3,185
  • Who are the major sponsors:
    • Pragmatic Institute
S.NoConference nameDateVenue
1.Boston’s Python Tech Fair.20th October, 2018
4 Copley Place, 6th Floor, Boston, MA
2.An Introduction to Data Science with Python
29-31 October, 2018
O’Reilly Training Center, 6th Floor, 2 Avenue de Lafayette, Boston, MA 

1. Boston’s Python Tech Fair

  • About the Conference: In this event, developers received an opportunity to learn and showcase how Python can be used for solving the most challenging problems.
  • Event Date: 20th October, 2018
  • Venue: 4 Copley Place, 6th Floor, Boston, MA
  • Days of Program: 1
  • Timings: 12:00 PM to 03:00 PM
  • Who were the major sponsors:
  • Energysage
    • WayFair
    • DataSog
    • EdX
    • Circulation
    • Klaviyo
    • Path AI
    • Climacell
    • Appsembler
    • Zagaran
    • Gamalon
    • Insight Squared

     2. An Introduction to Data Science with Python

    • About the Conference: This training covered the introduction and application of Python in the field of data science. 
    • Event Date: 29-31 October, 2018
    • Venue
    • Days of Program: 2
    • Who were the major sponsors:
      • O’Reilly

    Python Developer Jobs in Boston, MA

    Boston recently ranked first among the top 25 startup hubs in America, according to a report by the U.S. Chamber of Commerce Foundation and startup incubator 1776. It is home to several successful startups, such as Where, DataRobot, Bedrock Data , etc. Many startups these days rely on Python when it comes to traction, creating data reports, and filtering large data sets. Since the popularity of Python is only increasing, so is the scope of Python developers. 

    In Boston, the following companies are hiring Python developers:

    • K-Tek Resourcing LLC
    • Huxley Associates
    • Bay State Search
    • LogisticCare
    • Chewy

    A Python developer is responsible for writing code and testing it. Apart from this, he/she also debugs the code and integrate it to applications with web services from a third-party.

    Learn Python Programming in Boston, MA

    Below are some reasons why one should learn Python programming:  

    • Popularity and potential for high salaries: Boston is home to around 6000 startups and several leading companies, such as Bain & Company, Cabot, LPL Financial, etc. Python is the most popular language for software product development and is the first choice of companies because it is free and easy. So, the demand for Python developers is high in Boston. The average salary for a Python Developer is $124,145 per year in Boston.
    • Extensible and portable: The portability and extensibility of Python makes it perfect for using in cross language operation. This is the reason why it powers platforms like Solaris, Mac, PlayStation, and Linux.
    • Simple and Easy to learn: Python is a high-level, interpreted language with syntax resembling the English language. This makes it very easy to learn. Also, Python is supported by its big, global, open-source community that can help you learn the language and clear your doubts.
    • Web Development: Web development is one of the key applications of Python. Frameworks used for building websites, that are built in Python, provide faster and stable implementation of the code.
    • Testing Framework: Python is used by several organizations for validation of their ideas and products. The testing networks built in Python allow debugging and faster workflows.
    • Computer Graphics: The GUI library of Python, Tkinter library, facilitates the applications development faster. For developing games, you can use Python’s ‘pygame’ module.

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

    • Step 1: First step is to check if you have Python installed on your system or not. For this, type ‘Python—version’ in the command line’. This will display the Python’s version on your system.
    • Step 2: Write your code in a text editor. For example,

      print “Hello world!”  

    • Step 3: Save the file with the .py extensions like <filename>.py. The extension tells the interpreter that it is a Python file.
    • Step 4: The last step is to fire up the command terminal, go to the directory where your file is stored and type in, <filename>.py.

      Output: Hello world!

    The 2 different ways of running a Python program are:  

    • Python shell
      • Open the IDLE (Python GUI) file
      • Type the script and press enter
    • File 
      • Write your code in a file and save it with a .py extension
      • Fire up the terminal and go to the directory where your code is located.
      • Use the following command
        • Chmod a+x filename.py for letting your system know it is an executable program.
      • Type ./filename.py to run the program.

    To run Python script on Windows, try one of the following options:    

    • Through the Python REPL (interpreter)

        You can enter the REPL shell by typing in Python. This will work only if the classpath contains the Python executable binary.    

    • Running a Python program file containing the commands

        If Python executable is in windows classpath, you need to open up a command prompt and go to the location of the file.  

    • For example:

      >> C:\Users\y\hello.py   - For Windows

    $ /usr/bin/hello.py  - For Linux (Ubuntu) This will find the hello.py file and starts its execution.

    Here is how you can effectively run Python scripts on Mac OS X:  

    • Create a script in the document editor like emacs and vim to run Python scripts from the command line of the finder.
    • To run the script from the terminal window, you need to add /usr/local/bin to the shell search path.
    • To run the script from the Finder, here are your options:
      • Move it to the PythonLauncher
      • Set PythonLauncher as the default application. 
    • To run the script with GUI, you have to initialize the script with Python.

    Python Applications

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

    1. Web application development: There are several frameworks like Pyramid, Flask, Django, and Bottle that work with Python to provide smooth communication between the different interfaces, frameworks, and content management.
    2. Academics: Python is widely used for research and academic purposes. The libraries offered by Python makes it the go-to language for powering different projects and applications. Examples of such libraries are Pandas, Matplotlib, NumPy, SciPy, Scikit-learn, etc.
    3. GUI-based applications: The Tkinter library is the GUI library of Python that is used for creating smooth interfaces in desktop applications.
    4. Business and enterprise applications: Python is used for building and supporting enterprise applications like E-commerce and ERP. The libraries it offers like Tryton and Odoo along with its readability, scalability, and extensibility make Python perfect for large applications.
    • CyberCoders
    • Cannon Search Partners
    • Digipulse Technologies, Inc.
    • Kforce, Inc.

    Python Setup

    To get the Python script running on your script, the first step is to make sure that Python is installed on the system. Python is platform independent. So, all you need to do is install Python depending on your operating system. And you won’t have to create different scripts for different platforms.

    To download & install Python 3 in Windows, you need to follow these easy steps:  

    • Visit the homepage of Anaconda:
    • Download the version according to your operating system.
    • Start installing the Anaconda Package. The complete process will be done in less than 10 minutes.
    • Next, you need to initialize and update Anaconda
      • Anaconda navigator, the Anaconda Python package with graphical tools, can be launched through the application launcher.
      • From the application launcher, select the Conda option. 
      • Type ‘Conda-V’ in the command line to check if Conda is installed in the system or not.

    For downloading and installing Python on Mac OS X, follow these steps:  

    1. Install Xcode: The first step is installing Xcode, which can be done through the command: 

    $ Xcode-select --install

    1. Install brew: Install the package manager for Apple, Homebrew. Use the command:

    /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" To confirm the installation: brew doctor

    1. Install Python 3: For installing Python, use the following command:

    brew install Python.

    If you don’t have Python installed on your Ubuntu, you can do so by installing the below-mentioned steps:  

    • The first step is updating the apt-get package. To do that, use the following command:

      $ sudo apt-get update  

    • For installing Python 3.6, enter the following command:

      $ sudo apt-get install Python3.6  

    • Use the following command to run Python 3.6:

      $ Python3

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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 Boston, MA

    This dynamic city has been witness to many significant events in the US history as part of the American Revolution including the Boston Tea Party, the Siege of Boston, the Boston Massacre, and the Battle of Bunker Hill etc. Established on the Shawmut Peninsula in 1630 by Puritan settlers from England, Boston has come a long way. Today, it continues to be a critical port and manufacturing zone as well as a place for education and culture. The city has distinguished itself to have the country?s first public school, Boston Latin School and the first subway system. Its several world-renowned colleges and universities make Boston a global center of higher education and medicine, and the city is perceived to be a frontrunner in innovation for an array of reasons. Boston's financial profile includes finance, government activities, professional and business services. Boston is a great place to strengthen your career and KnowledgeHut helps you by offering globally recognized courses 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.