Python Programming Certification Training

Learn Python Programming Language from Basics to Advanced

  • Master the core concepts of Python programming
  • Learn under the guidance of experienced trainers
  • Get hands-on practice and work on work-like projects
  • 400,000 + Professionals trained
  • 250 + Workshops every month
  • 100 + Countries and counting

Acquire in-demand Python skills

Python Certification is designed to 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. This is one of the best Python programming certifications available.

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  • 24 Hours Live Instructor-Led Online Training

  • 100+ hours of MCQs and assignments

  • 20+ hours of hands-on practice

  • 3 live projects to fortify your learning

  • Learn the best practices in Python

  • Refine your code with expert feedback

Why Become a Python Programmer?


Python is the fastest growing programming language. It is relatively easy to use and for many programmers it is their first language. There is a vibrant community of Python developers around the world who keep adding more functionality and make more things possible to be done with Python. There is a huge demand for Python programmers across industries.

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Prerequisites to become a Python programmer

  • There are no prerequisites to attend the course
  • Knowledge of basic programming concepts is recommended
  • Knowledge of object-oriented concepts will be an advantage 

Who Can Attend the Python Programming Course?

Web developers



Big Data scientists

Professionals who want to strengthen their knowledge of Python

Python Programming Course Schedules

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What You Will Learn

Install Python

Get started on your Python journey by learning to install Anaconda - Python distribution. 

Master Python fundamentals

Create your first Python program by learning basic syntax, variables, types and so on.

Data Structures

Learn about data structures that Python can handle. Create, manipulate Python lists, tuples, etc.

Conditional Statements

Write complex decision-making code by mastering control structures like if, for, while, break and more.


Learn to write and import your own Python modules and use them in other directories. 

Regular Expressions

Learn about Regular Expressions, their uses in matching patterns and parsing files and text for information.

Object Oriented Programming

Learn to write user-defined functions and object-oriented way of writing classes and objects.

Master Python best practices

Take Python programming skills to the next level with functions, import packages and improved code readability.

Skills You Will Gain in Python Programming Training

Understand interpreters and Python Script

Install Anaconda and Python distribution

Implement string operations

Understand and implement Python Data Structures

Implement loop and control structures in R

Create your own custom functions without or with arguments

Create modules as well as execute them

Use Regular Expression and match pattern, parse data and so on

Construct a class and define objects

Transform Your Workforce

Leverage Python for Decision Making

Empower your team with Python programming skills to create programs that will help you to implement data driven decision making.

  • 250+ Workshops every month
  • 150,000+ professionals skilled in Agile
  • Find solutions for issues through data analysis 
  • Upskill your teams into modern roles

500+ Clients

The KnowledgeHut Edge

Instructor-led Live Classroom

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

Curriculum Designed By Experts

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

Hands-on Coding

Learn theory backed by case studies, exercises, and coding practices. Apply skills and knowledge 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 experienced in varied projects.

Python Programming Course Curriculum

Download Curriculum

Learning Objective:

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


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

FAQs on Python Programming

Python Programming 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. 

Our Python Programming course will train you in: 

  • How to use 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 Python programming certificate online course, you would have gained knowledge on the use of Python programming language to build applications. 

Not at all. You do not have to be an IT professional to take up this course, however, basic programming knowledge is required.

There are no prerequisites for the python programming online course with certificate course. A basic familiarity with programming is recommended. 

Yes, on completing the full Python programming course, you will receive a course completion certificate from KnowledgeHut.  The Python programming course with certificate will be a proof of your knowledge and ability to use Python. 

The average salary of a Python programmer in the United States of America is $109,741. 

Python Programming Workshop Exp

The Python programming workshop at KnowledgeHut is delivered through our immersive learning experience platform, via live and interactive instructor-led training sessions. 

Get your all doubts cleared from the trainer, who is an experienced practitioner. 

The conventional in-person Python programming training is typically delivered over three days. The Python programming online course is divided into several classes of shorter hours, unlike the in-person class that consists of 3 Python programming classes with 7 to 8 hours-long sessions. The size of the class is capped at 30 so that students gain a better learning experience. The participants and our trainers will be able to virtually collaborate with one another with the help of webcam tool in the Python programming classes online.  

Our Python programming course online focuses on engaging interactions. Most of the class time is dedicated to fun exercises, lively discussions, and team collaboration, all facilitated by the trainer who is an experienced Python practitioner. The Python programming training online focuses on practical solutions to real-world challenges drawn from decades of experience as Python programmer.   

Software Requirements  

  • Internet browser  
  • MS Word or Notepad   

System Requirements  

  • Windows or equivalent environment with Internet browser and high-speed Internet connectivity

Yes, your course materials for the online certificate in python programming will be provided in advance. You will receive an email with a link to set your password a few days in advance of the scheduled course. Once you log in, you will have access to the study plan and all the course material.   

The course material comprises of the course schedule or study plan, workbooks, relevant assignments, assessments, and case studies.  

The sessions would be auto recorded. You will be given lifetime access to the video recordings of the sessions.  

No, you will not yet be able to join the training through phone or tab. Please be prepared to join the training on your laptop or desktop.   

If you get disconnected during the training, you will have the option re-joining within half-an-hour, subject to accreditation body guidelines and the instructor’s preference.  

Our workshops are currently held online. Anyone with a stable internet, from anywhere across the world, can access the Python programming workshop and benefit from it.

You can check out upcoming schedules here.  

KnowledgeHut, will send a registration link to you via e-mail. You will have to set your password, log in to our platform, and start your learning journey.   

If you miss a class, you can access the class recordings at any time. At the beginning of every session, there will also be a 10-12-minute recapitulation of the previous class.   

This is a live instructor-led training where you will be coached by experienced professionals.   

Online classes for python programming are currently conducted over the Zoom platform. We will soon be adding more integrations soon.   

Yes, there are other participants who actively participate in the class. They remotely attend the online sessions from office, home, or any place of their choosing.   

In case of any queries, our support team is available to you 24/7 via the Help and Support section. You can also reach out to your workshop manager via the workshop group messenger.   

If you have any more questions, please email us at and we will be happy to get back to you.   

Additional FAQs on Python Programming

Python Certification

  • Python is a high level, interpreted, an object-oriented programming language which contains dynamic semantics.
  • The dynamic building and typing, along with the built data structures that Python offers, makes it a very lucrative language for the purposes of Rapid Application Development.
  • Python programming offers syntax that is easy to learn and understand. It emphasizes readability and easy inference, thereby also reducing the cost of the maintenance of the program.
  • The extensive standard library, as well as the Python interpreter, are also some of the reasons why Python programming language is highly preferred by Developers across applications.
  • Python also offers increased productivity, owing to the elimination of the compilation step in all Python programs. 

1. Programming for Everybody (Getting Started with Python)

  • Introduction: This course is offered by the University of Michigan. This course is designed to introduce the basics of programming to everyone using Python. Starting from the basics of how one constructs a program from a series of simple instructions in Python. With no prerequisites and basic mathematics, it’s the right course to begin your Python journey. This course covers Python 3.
  • Key features of the course: Can be upgraded to the Pro Version which includes a certificate.
  • Python course duration: 7 weeks with an idle pace of 2-4 hrs of study per week.
  • Level: Beginner
  • Instructor: Charles Severance, a Professor in the School of Information, The University of Michigan.
  • Eligibility Requirements: No previous knowledge required.
  • Benefits of Programming for Everybody –
  • Learn how to use variables in programs
  • Learn Conditional execution (if statements)
  • Learn Repeated execution / looping (for statements)
  • Learn Functions and code reuse

2. Introduction to Programming with Python

  • Introduction: This course is offered by Microsoft Virtual Academy.
  • It is designed for learners who are excited to explore Programming through Python. The expert instructors will offer a step-by-step walk-through, from a basic idea to translate that idea into code, and everything in between.
  • Using the advantages of Python, which has an easy learning curve, uses simple syntax, and is a very forgiving language, the instructors prepare you to be programmers once the course is done.
  • Key features of the course
  • 11 hours of Videos
  • 14 Modules
  • 14 assessment
  • Python course duration: 8 weeks with a study pace of 3-4 hours per week.
  • Level: Beginner
  • Instructors
  • Susan Ibach - Microsoft Canada Technical Evangelist.
  • Christopher Harrison -Microsoft Content Development Manager
  • Ratings: 5/5 with 804 ratings.
  • Eligibility Requirements: No previous knowledge required in Python.
  • Benefits of Introduction to Programming with Python –
  • Gain a basic understanding of Programming through Python.
  • Learn about the input statement, string variables, and manipulate strings.
  • Work on a project at the end of the course.

3. Programming Foundation with Python

  • Introduction: Learn Programming through Object Oriented Programming. This technique will allow you to reuse and share code easily.
  • This program is designed to make sure that the learners have a fun time learning Programming with Python. There are mini projects which will help the learner understand as well as enjoy the curriculum.
  • Key features of the course
  • Interactive Quizzes
  • Self-Paced Learning
  • Student Support Community
  • Python course duration: 6 weeks with a study pace of 4-5 hrs per week.
  • Level: Beginner
  • Instructor: Kunal Chawla
  • Eligibility Requirements: A little basic knowledge of C language is preferred. However, it’s not mandatory.
  • Benefits of Programming Foundation with Python
  • Start coding in the programming language Python
  • Reuse and share code with Object-Oriented Programming
  • Create and share amazing, life-hacking projects

4. Learn Python 3

  • Introduction: Python is the world’s fastest growing and perhaps, the most popular programming language. This course helps you understand the basics of this popular language used by software engineers, analysts, data scientists, and machine learning engineers alike.
  • Key features of the course: More than 4,318,497 learners have taken this course.
  • Python course duration: 6 weeks with 4-5 hours of study per week.
  • Level: Beginner
  • Instructor: A group of expert tutors in the field from CodeAcademy.
  • Eligibility Requirements: No prerequisite.
  • Benefits of Learn Python 2
  • Get an understanding of the most popular language.
  • Along with Python, this course also teaches you the fundamentals of Programming.
  • By the end of the course, you will be able to create your own program using Python.
  • Review – “I know from first-hand experience that you can go in knowing zero, nothing, and just get a grasp on everything as you go and start building right away.”

No, Python is one of the easiest programming languages to master.

  • Python has a vast inbuilt Python library and built in functions that make the development of a program more efficient and easy as well as less complex.
  • Python places a lot of effort on readability. What this means, essentially, is that Python syntax is more like writing in English, which makes it easier to learn and understand for the developer. 

Yes, Python is a popular choice for professionals new to coding. Python programming for beginners makes sense as it is one of the easiest languages to learn. Some of the reasons that make it easy for beginners to learn include the following:

  • It is an efficient programming language with data structures that offer a simple and effective approach to coding.
  • It is based on the object-oriented programming approach that once understood, will also help a beginner build a base for other programming languages as well.
  • It contains a massive in-built library and functions that
  • Save time
  • Increase efficiency
  • Decrease the complexity of programming
  • It has an elegant syntax that is almost like the English language, thus making programs easier to learn and build.
  • Python programming has a gradual learning curve, as opposed to other programming languages where the learning curve can be quite steep.
  • It has wealth and abundance of documentation, making it easier for a beginner to get help if he/she is stuck somewhere while coding.
  • The Python community of developers is a very vast and helpful community. In case a beginner is stuck at a problem and posts the same on an online forum of Python developers, either of the following may happen-
  • Since it’s a very large community of developers working with the same programming language, chances are that someone else was stuck on a similar problem and the same was resolved so the solution to the problem is already available.
  • In case the solution is not already available, the Python community chips in and the programmer is able to get a solution to his/her problem very quickly, thus boosting the process of learning as well. Learn Python programming for beginners and advance to learning doing more complex projects. 

If you are a programmer then you would already be knowing basics of programming languages, logics of programs etc. so you would mainly need to concentrate on the syntax part which takes, in Python’s case, approximately 1 month. If you are a newbie, then it will take around 3 months if you spend no more than 4 hours/day. However, if you are starting to learn Python programming online then you must see our list below containing important topics which may take the most time.

  • Using ‘os’, ‘sys’, ‘argparse’ module
  • Learning ‘list’ data structure
  • Slicing in Python
  • Use of ‘set’ and ‘dictionaries’ in real-life problems
  • Generators for memory management
  • File I/O
  • Importing/Exporting modules 

Python has been labeled as the most wanted programming language according to a 2018 developer survey which consequently means a Python developer would have a high salary compared to his/her counterparts in other programming languages. Although the salary of a Python developer depends on various factors, the average salary in the US is still approximately $116,379. This high number is basically due to 2 points:

  • After 2015, the popularity of the Python programming language has skyrocketed and it has overtaken PHP.
  • Due to its general purpose usability, Python's demand has exploded and supply has been slow to keep up. This has increased the salary of Python developers around the globe. 

Python is a popular programming language. As such, there are several certifications and courses available for people who want to validate their programming skills. To get the Python certification, you need to complete the course and pass the Python certification exam successfully.

With KnowledgeHut’s Python Certification course, you can master the concepts of Python and its libraries including Matplotlib, SciPy, Scikit-learn, NumPy, and Pandas. During the course, you will learn about Python’s architecture, applications, packages, design philosophy, and basics of scripts through practical sessions. The Python programming language online course is suitable for beginners, intermediate learners, and experts. It starts from scratch and gradually moves to case studies and real-world projects for getting hands-on experience.

Here are some benefits of enrolling in the Python certification course from KnowledgeHut:

  • Through the live classroom, you will be able to interact with the instructor in real-time. All our instructors are industry experts who can help you get hands-on learning.
  • Our curriculum is designed by industry experts with real-world experience working with Python.
  • All the theoretical concepts are accompanied by exercises, coding practices, and case studies. This will help you in applying your knowledge in the real world.
  • The course begins from scratch and advances step-by-step to the different tools and techniques involved with Python.
  • You can get feedback and reviews on your final projects from professional python developers. 

Here are eight steps you must follow to become a Python Developer:

  1. Install Python - Install Anaconda-Python distribution for getting started on your Python journey.
  2. Master the fundamentals - Learn the basic syntax, types, variables, etc. of Python and write your first Python program.
  3. Data structures - Learn about Python data structures along with how to create and manipulate lists, tuples, dictionaries and sets.
  4. Conditional Statements - Learn how to write complex decision-making code through control structures such as if, while, for, break, etc.
  5. Modules - Learn how to write and import Python modules and how you can use them in other directories.
  6. Regular Expressions - Understand Regular expressions and how they are used in parsing text and files for information and matching patterns.
  7. Object-oriented programming - Learn the object-oriented way of writing objects and classes and how to write user-defined functions.
  8. Python best practices - Take your skills to the next level with functions, packages, and improved code readability.

If you want to make a career as a Python Developer, you must complete the KnowledgeHut’s Python certification course. Apart from this, you can read books and official Python documentation. Also, peruse the Python packages’ source code to understand how they work. 

To learn Python, the Python Training offered by KnowledgeHut is one of the best platforms places to get started. During the course, you will be able to interact with the customers in real-time during the live classroom. Here are a few programming skills you will be learning with this Python Certification training:

  • Python Script and Interpreters
  • Installing Anaconda and Python distribution
  • Implementing string operations
  • Understanding and implementing Python data structures
  • Implementing loop and control structures in R
  • Creating custom functions with or without arguments
  • Calling functions by passing arguments according to the requirements
  • Creating and executing modules
  • Using Regular Expression and matching parse data, pattern, etc.
  • Constructing a class and defining objects

There are several resources available on the internet that can help you learn Python, but it is important to make the right choice. KnowledgeHut’s Python Certification hours is a 24-hours live session led by an instructor along with 7 hours of assignments and MCQs. It also includes 22 hours of practical sessions with Python and 3 use cases.

The course curriculum is designed such that you get the most advanced knowledge and skills in Python. Following the hands-on coding exercises, guidance, and review from mentors, you will be well on your path to become an expert in Python programming.

If you have a basic understanding of the object-oriented programming concepts and want to make a career out of Python as a Python Developer, Software Engineer, Software Developer, Research Analyst, Data Analyst, or Data Scientist, KnowledgeHut’s Python certification course is the best place to begin. 

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 up to $116, 379 annually. This is the best time to learn this language. 

The Python programming course for beginners and experienced programmers is designed to teach:

  • 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. This is one of the best Python programming courses available since it enhances your learning through meaningful projects. 

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. There is is no additional Python programming certification cost apart from the course fee. 

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

Learn Python

With Python 2 on the verge of becoming obsolete and being replaced by Python 3, the question of which is the better version of Python to learn has become a topic of debate within the coding community. This might lead you to wonder whether you need to learn Python 2 at all. There are still some situations in which you might need to know Python 2:

  • If the project that you are working on depends on certain libraries or third-party software which cannot be ported to Python 3, you will not have any other choice but to use Python 2 for the same.
  • If the legacy code of your company is written in Python 2, you’ll have to work with Python 2.
  • If you wish to become a DevOps engineer and work with configuration management tools like Ansible or Fabric, then you will have to work with both Python 2 as well as Python 3 as parts of these libraries don’t have the full support of Python 3. 

If you are a beginner and are wondering where to start, then Python 3 is the right choice for you. With next to no compatibility issues, Python 3 has changes that have made it easier to understand for beginners, making it the best choice to learn Python for the first time. With Python 3 being the future and Python 2 dying out, you should invest your time in learning the version of Python which will help you into the future.

But, whichever version of Python programming you decide to start with, it will be an easy process for you to transfer your knowledge to the other when needed. 

Python was first conceptualized in the late 1980s by a man named Guido van Rossum, who was a member of the National Research Institute of Mathematics and Computer Science.

  • It was initially designed as a response to the ABC programming language founded in the Netherlands.
  • While working as an implementer of the ABC programming language at the CWI (Centrum voor Wiskunde en Informatica), Van Rossum started working on the development of a scripting language that had a syntax resembling the ABC language, but had access to the AMOEBA system calls, which was a distribution system that he was working on at the time.
  • He started the development of the new programming language that he hoped would overcome the flaws of the ABC language and finally introduced the initial version of the programming language in the year 1991, naming the module system as Modula 3.
  • Now back in the 1970s, there existed a popular BBC comedy TV show names Monty Python’s Fly Circus. Van Rossum was a big fan of this TV show and thus, named his pet project ‘Python’ after the show. 

The developer of the Python programming language, an interpreter named Guido van Rossum developed Python as a means to overcome the shortcomings of the ABC language that he was working on while being employed at the Centrum voor Wiskunde en Informatica (CWI).Van Rossum was a huge fan of the comedy show ‘Monty Python’s Flying Circus’, a BBC comedy show that was a big hit in the 1970s. Van Rossum loved the show and was also looking for a name for his language that was unique, short and mysterious, which is why he named his language Python. 

Python has become the preferred programming language for both, beginners as well as experts due to the following main reasons:

  • Community: Python has a big open-source community which means that there are thousands of projects already present online which you can just pick up and integrate with your own project.
  • Corporate sponsor: C# has Microsoft, PHP has Facebook, similarly Python has Google. Google heavily backs Python and uses it extensively. It also, therefore, regularly updates Python tutorials and guides for newbies looking to take up Python as their programming language.
  • Academics: Python, due to its general purpose tasks usability, is heavily used for research purposes. Fields like Data science, Machine learning etc. are powered by Python and its powerful libraries.
  • Efficiency: Python is highly versatile and efficient. You can develop a Python program and deploy it to any environment with little to no performance loss. It uses regular expressions to minimize the length of the code and maximize its output.
  • Learning: This is perhaps the most attractive part of Python, which makes it so popular. Along with the numerous features it offers, Python is really easy to learn and understand given by its high readability. When compared to languages like Java, C# etc. Python has a shorter learning curve. Any newbie with little to no experience in even computer programming world can easily take up Python and start building software. 

When compared to other programming languages like Java, C#, PHP etc. Python is still in trend today due to the following reasons: \

Ease of learning: High readability and easy learning have forced many to start learning Python due to its syntax, which can be understood even if you’re not a Python expert. This is not the case with most of the programming languages.

General-purpose: As Python can be used extensively for general purpose tasks, it has been employed into software in different fields ranging from web development to cloud computing and to research fields like machine learning and data science as well.

Big community: Due to its big global community, the packages available are numerous and stable as well with updates being provided on a regular basis.

Flexibility: Python is a highly flexible language evident from its numerous implementations with other programming languages. So, for example, if you think that Java is better suited for a particular task, you can easily use Jython for it.

Business use: Python is attracting more and more non-technical professionals to itself due to its ability to put data analysis skill, a hot skill in today’s world, within one's grasp. 

Below are the steps defined for beginners if you want to get started with Python Programming.

  1. Understand why Python
  2. Install Python
  3. Use IDE
  4. Learn basics
  5. Implementation
  6. Understand why Python: First of all, it is important to understand why you are going to use or learn Python in the first place. This step will help you better in the learning process.
  7. Install Python: After deciding which version of Python you will be needing for your purposes, install it either from the official website or Anaconda package manager.
  8. Use IDE: As a beginner, it is important to understand your errors and learn from them. IDEs help for the same by debugging your code.
  9. Learn basics: You can use online videos, courses or even blogs to get you started with the technical aspects of Python programming such as variables, functions, lists, tuples etc.
  10. Implementation: No learning is complete without implementation and hands-on practice. Work on projects with peers, or even complete assignments from online courses. 

Python is a multi-purpose, sometimes even utilitarian, programming language. What makes Python special is that it is not a complex programming language, which is the main reason for its popularity.

  1. It is a truly universal language that provides a lot of options to developers.
  2. It is used by some of the biggest technology companies in the world, thus making it applicable to a number of popular applications across diverse fields.
  3. It has a very active, healthy and supportive community: There are millions of developers working on the Python programming language. This active community of developers ensures proper help and support to its fellow developers.
  4. The compounding use of cloud solutions and big data has only propelled the growth and popularity of the Python programming language and the same is only expected to grow in the years to come.
  5. It is one of the most popular languages used in the field of Data Science, Machine Learning and Artificial Intelligence.
  6. Python programming is incredibly easy to write, code, understand and analyze.
  7. It has some of the most expensive libraries, documentation and built-in functions that increase the efficiency of coding and reduce the complexity of programs.
  8. It is a highly efficient and reliable programming language.
  9. Python is quite a versatile language, because of which developers can make it work across several domains including web development, mobile applications, hardware, desktop applications and more. 

If you are looking to use Python for your project and have no experience in it, below is the list of tips and topics which can help you learn Python fast.

  • Help in Python: If you want to know how an object works then use help() function.
  • Indentation: Instead of curly braces, Python uses indentation to define the scope of a code block.
  • Data types: Lists, dictionaries, and tuples are the data structures provided by Python. Variables can point to functions as well.
  • Flow control statements: Python has the usual flow control statements such as - if, for, while, and range(<number>).
  • Functions and classes: For function, Python has the def keyword and for classes, it has class.
  • Exceptions: Python has exception handling feature handles by try-except.
  • I/O: Python has a wide range of built-in libraries to handle file handling.
  • Importing libraries: A Python program may include several external libraries which can be imported into main program by using: import <library> or from <library> import <function> keyword.Note: Above topics mentioned can be learned from online resources available for free as well. 

Below are some of the important tips we have compiled for beginners:

  • While learning Python, make a habit of writing notes so you can always refer back to polish your basics.
  • Use IDEs to code your Python programs as it helps to debug your code which is a great tool for learning.
  • Include like-minded peers in your social circle, go to meetups and other events where your knowledge for the same takes leaps.
  • Take small breaks while programming. Coding at a long stretch may thwart your creative thinking process.
  • Consistency is the key so whatever day it may be, just code. Code every day.
  • When stuck on a problem, don’t hesitate to search for the solution on Google or even StackOverflow. The Internet usually provides expert guidance to any problem 

There are numerous books for beginners if you are looking to learn Python programming so it is essential that you choose the right book to start your Python career. Here are some of the best books to start with.

Python Programming: An Introduction to Computer Science

  • Murach's Python Programming
  • Learn Python in One Day

Python Programming: An Introduction to Computer Science: This book is designed for college students hoping to start their programming journey with Python. It introduces one to the concepts of computer science and this book uses Python extensively for it.

Murach's Python Programming: This book is best suited who are new to the programming world and want to jumpstart their programming career with Python. This book is divided into four sections for ease of learning.

Section 1: It introduces the basic concepts of computer science and programming world.

Section 2: It highlights the skills that every Python developer needs to inculcate and display.

Section 3: It introduces OOPs concepts and shows how to develop OOP programs.

Section 4: This section is basically implementation. Through the use of database and GUI, it offers guidance on how to make a program for the real world.

Learn Python in One Day: This is a short book recommended only if you are new to the computer programming world and you’ve had bad luck with other books. This book teaches you the basic concepts of programming with Python quickly. It has examples that can be easily understood by beginners. 

How to Learn Python-2&3

Figure out what motivates you: Before you begin your Python journey, it is important for you to figure out the thing that motivates you and makes you want to continue your Python learning journey. This step will help you set an end goal for yourself, ensuring that you always have your eye on the final destination so that you do not abandon the task midway. We recommend choosing an area wherein you wish to apply your Python knowledge. Some of these areas where you can apply your knowledge of Python include the following:

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

Learn the basic syntax: In order for you to be actually able to apply your knowledge of Python to the application area you choose, it is very essential that you do not skip this step. However, spending only a minimal amount of time on this step will do the trick as once you understand the basic Python syntax and are able to develop a few basic programs with the same, you will be able to do the rest while you implement your knowledge of Python concepts on the field that you have chosen. The faster you move on to doing projects using Python, the faster you will learn.

Develop Structured projects: Once you are comfortable with the basic Python syntax, it is now possible for you to start developing projects on your own. Developing your own projects in Python is one of the best and the most efficient ways of learning Python. It is difficult to retain knowledge until you actually apply it and when you develop a project, that is exactly what you do. Projects push you beyond your own capabilities, they help you learn in a manner that you are unlikely to forget what you have learned, and they also help you build a portfolio as you go about your journey of learning Python. 

In the diverse world of programming languages, Python programming has come out on top and attracted professionals and beginners alike due to the numerous benefits it provides:

  • As it can be used for general purpose tasks, most of the platforms of automation, big data and data mining rely on Python.
  • Due to its high readability and ease of learning, Python is highly recommended for both, research as well as for someone new to the programming world.
  • Due to its huge global community, it has numerous packages and from time to time its stable updates are released to keep up the new features in trend.
  • Important and useful frameworks like Ruby on Rails, Django etc. which help in smoothing the complete development process are powered by Python.
  • When compared to experts of other programming languages like Java or C#, skills of experienced Python coders tend to stay more organized as it provides a more productive coding environment than others.

If you want to learn Python and have no experience in it, below is the list of steps you can follow-

Find motivation: Python is a huge field and if you dive in without any aim you will lose interest along the way. Therefore, you need to find what motivates you and it doesn’t necessarily have to be a project, it can also be a specific area of interest. For eg:

  • Data science
  • Machine learning
  • Web development
  • Game programming

Learning basics: Start learning the basics by which we mean syntax of Python mainly. It is easy to read and understand the syntax of Python programming and even a non-technical person can learn its syntax in a short amount of time. You can use the following courses to bring you up to speed.

Implementation: After you have learned theory, it's time to implement. There are many things which you can only learn only after you experience it. For starters, try making your own project. It may be as small as creating an automation script but it is essential that you yourself make it. Understand the errors and learn from them.

Social coding: Start contributing to online open-source projects to understand how programs are made commercially or officially. You can use websites such as GitHub etc. for the same. Social coding also helps establishing your network which may further help you in your career as well.

Competitions: Competitions, whether online or offline such as hackathons are an important source of learning. You learn here how to obtain a solution which is optimum and under a given set of constraints. Competitions encourage you to think out-of-the-box for a simple problem. 

Dictionaries in Python programming are unordered, mutable, and indexed collections which contain data in the form of keys and values. Below are some of the most common operations performed on a dictionary.

  1. Create a dictionary: Use curly brackets to define one.temp = {“a”: 100, “b”: 200}
  2. Add key-value pair: Assign as in array.temp[“c”] = 300print temp
  3. Remove key-value from dictionary: We use del keyword for the purpose.del temp[“b”]print temp
  4. Testing element in dictionary: To check if an element is in dictionary or not, we use in keyword.>>>“c” in tempTrue
  5. Get the value of a key: Use get function for the same.print temp.get(“a”) 

You can learn Python programming from books recommended by top Python developers in the industry. We have compiled such list which will help you choose a book best suited for you.

  • Python Cookbook
  • Head First Python
  • Learn Python the Hard Way
  • Python Programming: An Introduction to Computer Science

Python Cookbook: If you want to buy one book and learn it all, then this is the best choice available. It provides comprehensive guidance on how to write industry grade code along with covering all the basics as well. It includes basic topics such as strings, text, concurrency, generators, File I/O and advanced topics as well like data encoding and processing, system administration, and utility scripting to go along with much more.

Head First Python: Following visual approach rather than a text-based approach, this book aims to jumpstart your Python career by making you understand the fundamentals of Python through hands-on exercises. From teaching to work with simple built-in functions of Python, you will be taught to create your very own web applications that use a database, exception handling, and data wrangling.

Learn Python the Hard Way: The famous book which uses 52 exercises to teach you how to code professionally is generally recommended for experienced programmers. The author, Zed Shaw, aims to effectively make you into an industry-grade Python developer by teaching you how to structure your program, avoid mistakes made by professionals, how to debug, test, etc. It also throws some light on what tricks are used by professionals to find errors in their code which is why it is a must read for any aspiring Python professional.

Python Programming: An Introduction to Computer Science: If you have little to no experience in programming and want to start your coding journey with Python then this is the best-suited book for you. It starts from the base level by introducing you to computer science concepts and gradually builds up your knowledge about the same using only Python language in a way that is interesting and easy for beginners. 

Below are the steps to learn python programming for data science.

Step 1: Setting up Python on your system and downloading Anaconda as well. This will set up your environment with all the necessary basic tools for programming.

Step 2: Start learning about Python as a programming language, how to use multiple libraries into one program to get the desired output. Learn about tuples, lists, dictionaries, importing/exporting of libraries/functions as well, etc.

Step 3: Data cleaning is an important step in data science projects which prepares and corrects the input data. Input data can be of various forms, one such form is text data for which you can learn Regular expressions provided by Python for the same.

Step 4: Get familiar with popular data science libraries such as NumPy, SciPy, scikit-learn, matplotlib, etc. Create projects using these libraries to better grasp their knowledge.

Step 5: An important part of the job for a data scientist is to visualize the data given and Python provides with a library perfectly suitable for the job - matplotlib. Play around with this library and try to visualize as many datasets as possible.

Step 6: The most important step in data science is by using your Machine learning knowledge. Python, thus, provides with numerous libraries which can help in setting your ML model into which data can be injected. It is essential that you learn deep learning as well if you ever want to become a data scientist. scikit-learn is the most useful library provided by Python for the same.

Step 7: Practice and practice. You need to practice your skills in order to become a data scientist. Be it through projects or even online competitions like Kaggle etc. 

Python Setup

Python is a programming language that is independent of the platform. This means that once you develop a Python script, it can be run on all the platforms that are supported by Python.

  • There are various ways to install Python on your system, depending upon the Operating System that you are using.
  • Read on to find out the steps to install Python on Window as well as Mac OS X.
  • In case you already have Python installed on your system, then you are ready to start developing and running Python scripts of your own. 

Windows do not require Python to be native to the system, thereby not requiring the system to have a preinstalled version of Python, unlike most Unix systems. Since Python is continually being developed, some platforms that used to be supported by Python earlier may no longer be supported. Thus, it is important for a user to check the PEP 11 for the details of all the platforms that are not supported.

  • Download the Python installer and unzip the file
  • Make sure that the launcher is on your PATH before you move on to installing Python
  • Fire up the command prompt and execute
  • PyCommand on the command line

In case you have multiple versions of Python installed on your system, the latest version will be launched when you execute the above command.

We move to install the latest available and stable version of Python 3, which is Python 3.6, at the time that this was written. In order to install Python, we will make use of the Anaconda Python package, which is to be installed in your system in the following ways:

  • Visit the Anaconda home page by clicking on the following link.
  • Click on the Anaconda tab from the menu and then proceed to click the Download tab in order to proceed to the Download page.
  • Once you land on the download page, choose the download that is suitable for your operating system viz. Linux, OSX or Windows.
  • Choose the Python 3.6 option
  • Proceed to choose the Graphical Installer
  • The above steps will lead to the initiation of the installation of the Anaconda Package on your workstation.
  • Install Anaconda
  • Now that the Anaconda Package is downloaded on your system, we will then proceed to install Anaconda.
  • Before you proceed, please make sure that you have sufficient administrative privileges required in order to install software on your system.
  • Proceed to click on the downloaded Anaconda file.
  • This will open up the Anaconda installation wizard, which will allow you a quick and painless installation of the Anaconda package.
  • The installation of the Anaconda package will not take more than 1 GB of disk space on your hard drive.
  • The entire process should not take you more than 10 minutes.
  • Initialize and update Anaconda
  • Once the Anaconda Python package is installed in your system, we will then proceed to check whether the Anaconda Python environment installed in your system is up to date.
  • The Anaconda Python package includes a full suite of Graphical Tools, which are termed Anaconda Navigator. This Navigator can be launched from the application launcher.
  • From the Application Launcher window, choose the Conda option. Conda is chosen for this purpose as it simple and fast.
  • Open a command line window and confirm that conda is installed in your environment correctly by typing out the following command:
    • Conda -V
  • Next, confirm if Python is correctly installed by typing out the following command in the command line:
    • Python -V
  • If the system does not throw up an error, it means that Conda was installed successfully
  • Confirm that the Conda version is up to date by typing out the following command in the command line:
    • Conda update conda
    • Conda update anaconda 

Running Python on Mac OS X is very similar to running it on any other Unix platform. The only difference is that there are a couple of additional features such as the Package Manager and the IDE, that need to be given attention to in a Mac OS X.

  • Mac OS X is usually pre-installed with Python 2.7.
  • In case you wish to install a newer version of Python, simply visit the Python Website and download the latest version.

On the installation of Python on Mac OS X, you get the following:

  • A framework, viz. /Library/Frameworks/Python.framework, that includes the Python libraries and executable. This location is added to the shell path by the installer itself and you have to do nothing manually. In case you wish to uninstall MacPython in the future, you can simply remove these from your system, and you will be done.
  • A MacPython 2.7 folder that is made in your Applications folder. Inside this folder, you will find the IDLE, which is the development environment that is a part of the standard Python distributions.
  • The PythonLauncher, which handles the double-clicking Python scripts from the Finder, is also included in this.
  • The Build Applet tool is also included. This tool allows the developer to package the Python scripts as standalone applications in the system.
  • The build of Python that is provided by Apple is installed in the /usr/bin/python and /System/Library/Frameworks/Python.framework. It is important to remember that the user must not modify or delete any of these as they are both controlled by Apple and are made use of either Apple or by third party software.
  • The IDLE also includes a help menu that enables the developer to access the Python documentation, which contains everything from tutorials to FAQs in order to make the use of Python easier for the developer. 

Python 2.7 and Python 3.5 come preinstalled on Ubuntu LTS. However, if by any chance your Ubuntu does not have a Python and you want to install say Python 3.6 then follow the below steps to get it. We will be using the apt-get package manager to fetch Python.

  • Open the terminal and update the apt-get package using the following command and enter the password when prompted: $ sudo apt-get update
  • Enter the following command to install Python 3.6 and enter the password when prompted: $ sudo apt-get install python 3.6
  • Run python 3.6 by using the following command: $ python3

The above command would launch Python 3 interpreter.

Note: You would also like to install setuptools and pip which are the two most crucial third-party Python packages. 

The announcement in 2014 that Python 2.7 would be supported until 2020, encouraged users to move to Python 3 from Python 2, making Python 2 nearly obsolete and Python 3 the future. This table shows why companies are moving from Python 2 to Python 3.

1. A string is stored as ASCII by default.

  • A string is stored as Unicode by default.

2. Treats “print” as a statement.

  • Treats “print” as a function.

3. Division of integers always returns integers. [5/2=2]

  • Division of integers may result in a float. [5/2=2.5]

4. raw_input() reads strings.

  • raw_input() is not available.

5. input() evaluates data read.

  • input() always reads string. 

Python Programming

Listed below are some of the main reasons why you should learn Python Programming:

Popularity and potential for high salaries: Python is very popular among developers. As it is having been proven to be a truly universal language that can be used to meet various development needs, it offers a lot of options to programmers in general. Python experts draw among the highest salaries in the industry.

Extensible and portable: These two properties of the Python programming language allow a developer to seamlessly perform cross languages operations. Python is also supported by some of the leading platforms in the industry including Macintosh, Linux, PlayStation and Solaris, among several others.

Simple and Easy to learn: Python is a programming language that is very simple and easy to learn. It is very powerful, yet has syntax that resembles the English language very closely. The following are the contributors to the simplicity of Python:

  • Interpreted
  • High level
  • Large and active community of developers
  • Free and open source

Web Development: Python provides developers with a variety of frameworks in order to enable the development of websites. Since most frameworks on which websites are based are built on Python, Python code is, therefore, run faster and in a more stable manner.

Testing Framework: Python is a great platform for established companies to validate products or ideas. Python consists of a number of testing networks that are built in, including frameworks to test fastest workflows as well as debugging. Testing is usually a tedious task but is made easier with the use of Python.

Computer Graphics: Python is used in a variety of online as well as offline projects. The ‘Tkinter’ library in Python provides developers with an easy and a fast method to create applications. Python can also be made use of in order to develop a game with the ‘pygame’ module.

Scripting and Automation: During Scripting,

  • The code is written in the form of scripts, which are executable
  • The machine reads and interprets these scripts
  • Checking for errors is performed during Runtime 

One of the best features of Python programming is that the Python programs can be moved from one platform to another and can be run without making any additional changes on almost all platforms including Windows, Linux, and Mac OS X. It has a simple syntax, which is quite similar to the English language. Moreover, its syntax allows developers to write programs with shorter or fewer lines as compared to other programming languages. Another major advantage with Python programming is that prototyping can be done very quickly, that is, a code can be executed as soon as it has been written.

Python has emerged as the most favored language for Data Analytics. It easily integrates with other technologies and offers greater stability, leading to higher programming productivity especially in complex Agile projects. Python reduces development time by nearly half due to it's easy to read syntax and simple compilation function. Python has a built-in debugger, making the process of debugging programs a straightforward task. Since a long time, the use of Python was restricted to scientific computing and highly quantitative domains such as finance, physics, oil and gas, and signal processing, but it is now finding increasing acceptance across all domains, especially in the field of Data Science. 

If you are just starting your Python journey and you want to create your first Python program then just follow the steps we have defined below.

Step 1: Make sure Python is installed. You can check the same by using following command which will the show the version of Python you have installed on your computer.

python --version

Step 2: Open a notepad or any other text editor on your system suitable for you and write the following code in it:

print “Hello world!”

Step 3: Save the file as <filename>.py so for our example we will save the file as The .py extension tells the python interpreter that this is a python file and to treat it as such.

Step 4: All that is left is to open your command prompt or terminal, navigate to the directory holding your .py file and run the following command.

Output: Hello world! 

A Python program can be run in the following two ways:

  • Running a Python program in a Python shell
  • Fire up your IDLE (Python GUI) file
  • Simply type in your Python script and press enter
  • Your program will start running
  • Running a Python program stored in a fileIn order to run a Python program stored as a Python script in a file, follow the given steps:
  • Write your script in an independent file
  • Save the file with a ‘.py’ extension, thus indicating to the system that the file is a Python program.
  • Initialise the terminal on your system.
  • Navigate to the directory where you have stored your file with the .py extension by typing the following command in the terminal:
  • Cd directoryName.
  • Now press enter
  • Type the command
  • Chmod a+x in order to inform your system that the said file is an executable program.
  • Next, type ./ in order to run your program. 

There are basically two ways to run Python on any OS for that matter:

  • Run commands on Python REPL (interpreter)
  • Run a Python program file which contains the commands

For both ways, Python is needed to be installed on your operating system. You can check that by typing the following command which will tell you the Python version currently installed: python --version

  • If Python executable binary is in your classpath then you can simply type python to enter its REPL shell.
  • Alternatively, if you want to run a file and Python executable is in your windows classpath then all you need to do is open command prompt and enter the location of the file.
  • For example:>> C:\Users\y\ - For Windows$ /usr/bin/ - For Linux (Ubuntu)

The above command finds the file and starts executing it. 

The best and the most efficient way to run Python on Mac OS X is to run it through the IDLE integrated development environment that comes along with the installation of Python on the system.

  • In order to run Python scripts from the Finder or the Terminal window command line, you will first require a document editor in order to create a script.
  • Several standard Unix command line editors are already pre-installed into the Mac OS X. Some of these include emacs and vim.
  • Make sure that /usr/local/bin is in the shell search path, if you wish to run the Python script from the Terminal window.

In case you wish to run the Python script from the Finder, the following two options are available:

  • Drag it to the PythonLauncher
  • Choose PythonLauncher as the default application in order to open a script through the Finder. The Option Dragging option is one of the many preferences that PythonLauncher allows users to choose from. This option allows the user to either use its Preferences menu to change settings globally or change the settings for a single invocation.
  • In case you wish to run your Python script with a GUI, make use of pythonw instead of python in order to initialize these scripts. 

Java and Python are two of the most popular programming languages in the world. The reasons for the raging popularity of Java and Python are the efficiency, automation capabilities and the versatility that the two programming languages offer.

  • The main difference between Java and Python is that while Python is a dynamically typed language, Java is statistically typed. This means that while Java performs type checking at the time of compilation and does not compile a script that has errors, Python actually compiles the programs even if the scripts contain errors that prevent the script from running properly.
  • Python, however, is ranked slightly better compared to Java in terms of efficiency, performance, ease of understanding and readability.
  • Python is also ranked as the top language preferred by beginners, majorly owing to the fact that it is easy to understand and write. It reads almost like the English language and is more intuitive from a syntactical standpoint.
  • Another reason for the popularity of Python over Java is that Python is a general purpose programming language and has multiple applications from website designing, game development, artificial intelligence and data science to scientific computation and desktop applications. Thus, learning Python allows a developer to expand his/her horizons and focus on varying areas of technological advancements.

All in all, while Java has its benefits, learning Python makes more sense as it is more intuitive, flexible and creates a more enjoyable experience for the developer. 

Python has widespread use in the domains of web development, application development, developing games, etc. It has been described as one of the most organized languages and standard languages by its users. With the increase in popularity of Python language, it is expected to grow tremendously in the fields of Artificial Intelligence, Networking and Big Data in the near future.

Artificial Intelligence: Various frameworks, tools, and libraries are being developed to direct artificial intelligence to reduce human efforts and increase the accuracy and efficiency for development purposes.

Networking: Python performs various networking automation tasks such as reading, writing, and configuring routers and switches in a cost-effective and secure way with the help of various tools and libraries such as Ansible, Netmiko, etc.

Big Data: Python programming language has helped the big data technology to grow. Thanks to its high-performance libraries and toolkits, Python continues to successfully contribute to the analysis of a large number of data sets. To name a few python libraries and toolkits for Data Analysis: Pandas, Scikit-Learn, NumPy, Dask, etc. 

Python Projects

If you want to start implementing your first Python project then we have compiled a list of projects which can help you get started and right to coding.

Guess the number game: As the name suggests, this game aims at generating a random number and making the player guess it. If the response is correct, it is shown accordingly but if it is wrong then the game indicates the player by how much the answer deviates. Concepts used in the project:

  • Random function - to generate a random number
  • Variables - to store and access data
  • I/O - To take the guessing number as input from the player
  • Conditional statements - to check the validity of the answer and keep the game going accordingly

To-do list application: Almost every programmer creates a to-do list application when one starts the coding journey. You must be able to add, delete and update your items in the list. Concepts used in the project:

  • UI - GUI libraries will be used to create a smooth UI with buttons
  • Conditional statements - to control the flow of the program
  • I/O: To take inputs and provide suitable outputs to the user
  • Variables - to store and access the data in the program

Adventure game: The player gives the direction and entity is moved correspondingly. The constraints here are the walls, if a player confronts a wall then a suitable message must be displayed. Concepts used are:

  • UI - GUI libraries will be used to create a smooth UI with buttons
  • I/O: To take directions as input and provide output message as well
  • Variables - to store and access the data in the game
  • Conditional statements - to control the flow of the program
  • List and data structures: To store the map of the game

Calculator: Perhaps the simplest of a program is to create a UI calculator application for the desktop. Concepts used here are:

  • UI - GUI libraries will be used to create buttons and display field
  • Variables - to store and access the data in the game
  • I/O: To take numbers as input and provide an output result
  • Conditional statements - to check the validity of the statement 

Below is the list of best courses offering to teach the structuring used in the industry for Python projects.

  • Learn Python the Hard Way
  • scikit-learn documentation
  • Python Cookbook

Learn Python the Hard Way: This is a book for experienced programmers which aims to turn you into an industry standard Python developer by providing you insights on the tricks used by them to debug and fix their code, how they structure their project to get maximum benefits and much more.

scikit-learn documentation: It is the main Python machine learning library which hosts a collection of algorithms used frequently in data science projects.

Python Cookbook: This book is a must read for every Python developer and it is an all in one book. It contains all the necessary information you would require to become an industry grade Python developer. Along with teaching core language basics, it also throws some light on the structuring of the project and what are consequences of it.

If you are looking to expand your implementation knowledge as a Python developer then you need to work on projects and below is the list for you to help you find some good projects to work upon.

  • Meetups: There are plenty of meetups around the globe regularly for Python developers where peers discuss the latest technology trends, projects, and new innovations. You can gather inspiration from there.
  • Social coding: Engage yourself in social coding. Take up projects from NGOs as a volunteer or even from your friends for that matter and help contribute to them.
  • Self-made projects: Find a necessity or need and convert that into a project to help you.
  • Hackathons: Hackathons are a great place for taking inspiration for projects. You can even contribute to your peers’ codebase if you liked their project.
  • Open-source: Last but not least, Python has a huge open-source community and you can take up any of its packages and start contributing to it. 

Python Applications

Being a user-friendly language, Python is used in various domains. Below mentioned are a few applications of Python language:

Web and Internet Development: Python has libraries for internet protocols like HTML and XML, JSON, etc. as well as an easy-to-use socket interface, making the process of web development hassle free.

GUI Based Desktop Application: With numerous GUI toolkits available, like wxPython, PyQt or PyGtk, developers can create highly functional Graphical User Interfaces (GUI).

Operating Systems: Python has developed to become an integral part of Linux distributions. For example, Ubiquity Installer of Ubuntu has been developed in Python.

Science and Numeric Applications: Python has become an integral part of the application of computation and processing of scientific data due to its productivity, availability of tools and higher speed. To name a few tools: SciPy, Pandas, IPython, etc.

Software Development Applications: Python is used as a support language by Software developers for build-control and management, testing, etc.

Application of Python in Education: Python has paved its way to becoming an amazing language for teaching programs, both at introductory as well as advanced level. Example: Scons, Buildbot, Apache Gump, etc.

Application of Python in Business: Python is widely used to build ERPs and e-commerce systems. Example: Tryton, Odoo.

Database Access: Customize different databases like MySQL, Microsoft SQL Server, Oracle, etc. with the help of Python.

Games and 3D Graphics: With the help of various modules, libraries, and platforms that support the development of games, one can develop games with Python.

Other Applications of Python: Python is further used in the following applications

  • Applications for Images
  • Video or Audio based applications
  • 3D CAD Applications
  • Machine learning
  • Robotics
  • Artificial Intelligence
  • Web Scraping
  • Scripting
  • Enterprise Applications

It has a simple as well as an easy-to-use syntax, making it a perfect language to learn for a fresher who is trying to learn a programming language for the first time. 

As stated above, the Python programming language is extensively used for web development. It is used by big organizations as well as small start-ups to improve their productivity and meet the requirements of their customers. The following lists a few popular companies which use Python as the preferred language in Web Development, as well as mass companies that deploy Python.

Instagram: After recently moving to Python 3, Instagram is a gigantic tech company which is using Python language in combination with Django, which is one of Python’s frameworks. According to Instagram’s engineering team:

"Instagram currently features the world’s largest deployment of the Django web framework, which is written entirely in Python.”

Google: Python is used extensively by Google. It is now one of the official server-side-languages, C++, Golang and Java being the other ones. Moreover, Peter Norvig said:

“Python has been an important part of Google since the beginning and remains so as the system grows and evolves. Today dozens of Google engineers use Python, and we’re looking for more people with skills in this language.”

Spotify: Spotify uses Python primarily for back end services as well as data analysis. Spotify is a huge advocate of Python, due to the speed of processes of development while using Python.

Netflix: Just like Spotify, Netflix relies on Python for back end services and data analysis. Netflix allows its software engineers to choose their own language for coding, and have noticed the maximum usage being that of Python applications.

According to the technology blog of Netflix, “Developers at Netflix have the freedom to choose the technologies best suited for the job. More and more, developers turn to Python due to its rich batteries-included standard library, succinct and clean yet expressive syntax, large developer community, and the wealth of third-party libraries one can tap into to solve a given problem.”

Reddit: Reddit is the fourth most visited site in the United States and the seventh most visited site in the world. The software backbone behind Reddit is Python. Originally, Reddit started coding with Lisp and was recorded in Python within 6 months of its launch. This happened because Python has a wider range of code libraries and is more flexible.

Quora: This question and answer platform took their time to decide on the language which they wanted to use to implement their design. Taking their lead from Google, they finally decided on Python because of its ease of writing and readability. Another reason for them to opt for Python was because of the existence of several good frameworks, including Django and Pylons.

Uber: Uber chose Python due to its ability to quickly provide the essential mathematical calculations they require for efficient working. According to Uber engineers,

“At the lower levels, Uber’s engineers primarily write in Python, Node.js, Go, and Java. We started with two main languages: Node.js for the Marketplace team, and Python for everyone else. These first languages still power most services running at Uber today.”

NASA: NASA uses Python extensively and open sources a lot of their software. 

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. 

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What Learners Are Saying

Tyler Wilson Full-Stack Expert

The learning system set up everything for me. I wound up working on projects I've never done and never figured I could. 

Attended Full-Stack Development Bootcamp workshop in July 2022

Matt Connely Full Stack Engineer

The learn by doing and work-like approach throughout the bootcamp resonated well. It was indeed a work-like experience. 

Attended Front-End Development Bootcamp workshop in May 2021

Vito Dapice Data Quality Manager

The trainer was really helpful and completed the syllabus on time and also provided live examples which helped me to remember the concepts. Now, I am in the process of completing the certification. Overall good experience.

Attended PMP® Certification workshop in April 2020

Meg Gomes casseres Database Administrator.

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.

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Knowledgehut is among the best training providers in the market with highly qualified and experienced trainers. The course covered all the topics with live examples. Overall the training session was a great experience.

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KnowledgeHut has excellent instructors. The training session gave me a lot of exposure to test my skills and helped me grow in my career. The Trainer was very helpful and completed the syllabus covering each and every concept with examples on time.

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