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Python Certification Training in Hyderabad, India

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
Group Discount

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 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.

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 Training 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 an object-oriented, interpreted, high-level programming language that uses dynamic semantics. It is easy to learn and understand. Python interpreter and the extensive standard library are one of the primary reasons why Python is highly preferred among developers.

In the late 1980s, Guido van Rossum conceptualized Python. He was a member of the National Research Institute of Mathematics and Computer Science. The language was created as a response to the ABC programming language designed in the Netherlands. Van Rossum wanted to design a programming language with syntax similar to the ABC language and having access to the AMOEBA system calls. He designed it to overcome the flaws of ABC language. In 1991, he introduced the initial version of the language with the name Modula 3. 

There is an interesting story behind how Python got its name. The creator of the language, Van Rossum loved the hit 1970s BBC comedy show named ‘Monty Python’s Flying Circus’. He was looking for a name for his language that was short, different and mysterious and therefore he named his language Python.

Python has become the most popular programming language for beginners as well as experts. There are a great many systems and frameworks that are powered by Python. Tech Mahindra, ExterNetworks, We 4 IT Services, Datapoint Info Solutions, CoreCompete, etc. are some of the companies looking for Python developers in Hyderabad. 

Here are the top 5 reasons behind this popularity:

  • Community: Python has a huge, open-source community. This means that there are several projects available online that you can integrate in your project. 
  • Corporate sponsor: Python is backed by Google. It regularly updates its guides and tutorials.
  • Academics: Its usability in general purpose tasks makes it perfect for research purposes. Its libraries are extensively used in fields like Machine learning, data science, etc.
  • Efficiency: It is a very efficient language. Thanks to its versatility you can deploy a Python program in any environment without any performance loss. If you want to decrease the code’s length and increase its output, you can use Regular expressions.
  • Learning: It is very easy to learn and understand. It has a short learning curve which allows any newbie programmer to learn and start programming quickly. 

Hyderabad is not only the hub of tech companies, but also a center of learning. There are several institutes in Hyderabad that offer Python courses. Also, you can go for bootcamps in Hyderabad that will help you gain a thorough understanding of Python programming language in a short amount of time.

Here are the top reasons to learn Python in Hyderabad:

  • Ease of learning: It is easy to learn and is readable. Even if you are not a Python expert, you will be able to get the gist of a Python program. This is because of the easy syntax of the language which is not the case with other programming languages.
  • General-purpose: Owing to its general purpose nature, several software ranging from cloud computing to web development to data science and machine learning, have incorporated Python.
  • Big community: Thanks to its big, open-source community, Python comes with several packages that are stable and in trend with the new updates.
  • Flexibility: Python’s flexibility allows its usage with other programming languages. 
  • Business use: Since it can be used in data science, more non-technical professionals are getting attracted towards it.

If you are a beginner in Python, you need to follow the below mentioned steps to get started:

  1. Understand why Python: This is essential for creating motivation. You need to know why you want to start learning Python.
  2. Install Python: Next, you need to install Python. You can either try the official website or use the Anaconda package manager.
  3. Use IDE: When you are starting, you will have several errors. You need to learn from them. For debugging your code, use IDEs.
  4. Learn basics: Try online videos, blogs, and short courses in Hyderabad to get started with Python and learn the technical aspects like tuples, variables, lists, function, etc. There are several training centres in Hyderabad offering basic courses. 
  5. Implementation: The last step is the most important one. No matter how much you learn, you would never become an expert if you don’t learn to implement that knowledge. Complete assignments from online courses or create your own projects.

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

  • Help in Python: The help() function will help you know how an object works.
  • Indentation: The scope of a code block is defined using indentation, not curly braces.
  • Data types: Python has data structures like tuples, lists, and dictionaries. You need to have a thorough understanding of these. 
  • Flow control statements: It involves normal control flow statements like if, for, while, and range(<number>).
  • Functions and classes: Python has the def keyword for functions and for classes, it has class.
  • Exceptions: Try-except is used for exception handling.
  • I/O: File handling is done using built-in libraries.
  • Importing libraries: External libraries can be imported using

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

Python Certification in Hyderabad, India

No. Python is an easy language. The built-in functions and the big inbuilt library make programming easier and efficient. Also, due to its similarity to the English language, Python is easily readable.

Yes, Python is one of the easiest languages for beginners to learn. Here are the top reasons explaining why:

  • The data structures of the language provide a simple yet effective approach to coding which makes it an efficient programming language.
  • Since this is an object-oriented programming language, it acts as a base for other programming languages too.
  • Python comes along with a built-in library that not only saves time but also decreases the program's complexity and increases efficiency.
  • The syntax is easy to learn as it is similar to the English language.
  • The gradual learning curve of the Python programming language gives it an advantage over other programming languages with a steep learning curve.
  • There is tons of documentation available that will help you when you are stuck during coding.
  • The big, open-source Python community will help you fix your error. Whenever you are stuck, you can post your query on the online forum of Python developers:
    • Chances are that someone has been through the same issue before and has found a solution. So you won’t have to waste your time on a problem that already has a solution.
    • If the solution is not available, the Python developers on the forum will help you get a solution quickly that will aid you in learning.

If you have previous knowledge of programming, you won’t need much time to understand the basic syntax of Python. Since you already have a basic understanding of program logic, it will take you around 1 month. However, if you are a newbie you would require at least 3 months with 4 hrs/day to become an expert. Here are some important topics that you would go through:

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

You can try attending meetups in Hyderabad to meet beginners and experts. 

If you want to learn Python programming language in Hyderabad, you can try one of the several training centres that offer courses and boot camps for Python, including NIIT, Visualpath, etc. If you want to go for online courses, here are the 5 best ways to learn the Python programming language in 2019:

  • Complete Python Bootcamp: Go from zero to hero in Python 3: Offered by Udemy, this course is for beginners. With a duration of 24 hours, this course will help you create classes, decorators, etc. The course will allow you to create games on Python which means that you will be getting hands-on experience with Python.
  • KnowledgeHut: This Python certification program from KnowledgeHut will help you in mastering the concepts of Python, such as operators, control flow, functions, indentation, and syntax and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and Web Scraping. It also includes 22 hours of hands-on practical sessions with Python. 
  • The Python Bible™ | Everything You Need to Program in Python: This course by udemy is project-based. It will take you 9 hours to turn from a beginner to a professional. The course covers variables, loops, and data structures. Also, it will guide you through 11 different projects.
  • Google's Python Class: This course by Google uses lectures, written materials, and coding exercises for teaching the basics of Python along with advanced libraries like IO, HTTP, etc.
  • Full Stack Python: Best Python videos: This site has a lot of video resources of basics as well as advanced level meant for beginners to experts.

Due to the popularity, Python developers have a higher salary than the developers working in other programming languages. In Hyderabad, a Python developer can earn up to Rs. 6,85,234.

How to Learn Python in Hyderabad, India

If you are a beginner and you want to start your career in Python, you need to follow the below mentioned steps:

  • Figure out what motivates you

Before you start, you need to find out why you want to learn Python. This will help create an end goal. You need to keep an eye on this goal so that you don't quit midway. What you need is to select an area you want to apply your Python knowledge. You can select any one of the following:

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

Before you can apply your Python knowledge, you need to be familiar with its syntax. This will only take a small amount of time and with this, you will be able to develop a few simple programs. 

  • Develop Structured projects

After finishing with the syntax, you can move on to projects which are the most effective and efficient method for learning Python. Until and unless you apply this knowledge, you won’t be able to successfully understand Python. With the projects you have developed, you will be able to improve your portfolio as well.

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

  • Python 2 Course: This self-study course allows students to explore by themselves and learn through implementation. Although it is created for beginners, it can be used by intermediates and experts as well. There is an online Python interpreter on the website and you also have an option to download the site and print it.
  • Python 2.7 Tutorial: Based on the mybringback youtube channel’s Python content, this tutorial is for beginners. You will be provided with additional learning material along with the tutorial videos. This is a free and concise tutorial that will help you start your career in Python.
  • Learn Python 2: This 22-part course requires no prerequisites. You will be learning from scratch. The course is a combination of two other Python courses - Google’s Python class and Django girl’s Python tutorial. The whole course will take about 3 to 4 weeks and include topics like lists, dictionaries, Python 2 utilities, regular expressions, sorting, file I/O.

Today, we have so many programming languages and still, Python has managed to come on top and attract beginners and professionals. It is because of the numerous benefits it offers. Hyderabad is home to several leading companies and startups, such as Agiliq, Capgemini, Qvantel, Resonance IT Services Pvt. Ltd, Melvault, etc. Currently, there are more than 700 Python Developer Jobs in Hyderabad. Here are 5 benefits of learning Python over other programming languages:

  • Most of the platforms of data mining, big data, and automation use Python. This is because the language can be used for general purpose tasks.
  • Python is recommended for researchers as well as beginners as it is easy to learn and read.
  • Thanks to its huge global community, there are several packages and updates release that helps keep the language up to date with the current trend.
  • Python powers frameworks like Django, Ruby on Rails, etc. that soothes the development process.
  • When compared to Java or C#, Python coders have more productive coding environment.

If you want to learn Python, here are the 4 best resources:

  • Learn Python 2 - Codecademy: In this course, you will learn about Python and fundamentals of programming language. The course takes about 25 hours to complete and there are no prerequisites.
  • Real Python: In this course, you will learn about using Python for web programming. It will also teach you the basics of Python. Apart from this, you will be learning about the framework used for web development like flask, Django, and web2py.
  • Learn Python, it's cake - Udemy: This course is for people with no knowledge of coding. This course is free and takes about 7 hours for completion.
  • Python for entrepreneurs: This course is for people who want to use Python in their startup. The course is over 19.3 hours long and costs $89 USD.

If you have no experience in programming and want to learn Python, you can try the following 5 steps:

  • Find motivation: If you don’t have anything to motivate you, you will soon lose interest. It doesn’t have to be a project, it can be a whole area like:
    • Machine learning
    • Data science
    • Game programming
    • Web development
  • Learning basics: Start with the basics that include learning Python's syntax. Python has an easy and readable syntax and it will only take you a short time to understand. You can try joining a boot camp to get a thorough understanding of the language. There are several boot camps organized in Hyderabad that you can try. Here are a few courses that will help you have an in-depth knowledge of Python's basics:
  • Implementation: Once you have the theoretical knowledge, the next step is to learn how to implement it. This can only be achieved through practice. You can try working on your own projects. It doesn’t have to be a big one. Even a small project like an automation script will do the job. 
  • Social coding: Next step is to move on to online open-source projects. This will help you get an understanding of how official or commercial projects work. Github is one such place. This will also help you in creating your network.
  • Competitions: There are several online as well as offline competitions that encourage out-of-the-box thinking. In these competitions, you need to find a solution to the problem with given restraints in a fixed amount of time.

When it comes to the field of Data Science, Python is one of the most preferred languages. So, if you are looking for a career in Data Science, you need to get your Python basics clear. Here are 7 steps to learn Python for Data Science:

  • Step 1: First, you need to download Anaconda to set up the environment required for programming.
  • Step 2: You need to start learning the basics of Python, using libraries and getting the desired output. Make sure that you have all the concepts clear like lists, tuples, dictionaries, import and export of libraries and functions, etc.
  • Step 3: While working in Data Science, it is important that you clean the data and correct the input data. This data can be in any form like text. So, for that, you need to learn Regular expressions offered by Python.
  • Step 4: Have a thorough understanding of data science libraries like NumPy, SciPy, scikit-learn, matplotlib, etc. To better grasp their knowledge, you should use these to create a project.
  • Step 5: Data visualization is an important step in Data Science. Python has a library named matplotlib that is perfect for the job. With this tool, you can visualize datasets easily.
  • Step 6: Having machine learning skills is the most important skill required in data science. Python offers several libraries that can help you in setting up your ML model. You need to learn deep learning as well. Scikit-learn is the most useful library offered by Python for ML.
  • Step 7: Practice as much as you can. You can try online competitions like Kaggle or create some projects. The more you practice, the better a data scientist you will be.

Python Developer Salary in Hyderabad, India

The average salary of a Python developer in Hyderabad per year is Rs. 6,76,829 which is slightly higher than the average salary in Bangalore, which is Rs. 6,70,814.

https://www.indeed.co.in/salaries/Python-Developer-Salaries,-Bengaluru-KA 

If you are a Python developer in Hyderabad, your salary will be an average of about Rs. 6,76,829. In Mumbai, on the other hand, your salary will be a little less; about Rs. 5,92,733.

https://www.indeed.co.in/salaries/Python-Developer-Salaries,-Mumbai-MH 

The annual earnings of a Python Developer in Hyderabad is Rs. Rs. 6,76,829 as compared to Rs. 4,55,111 in Chennai.

https://www.indeed.co.in/salaries/Python-Developer-Salaries,-Chennai-TN 

The startup ecosystem in Hyderabad is buzzing with deep tech startups like Docturnal, Fabulyst, Imaginate, etc. Python is a popular programming language with professionals who work on deep learning, machine learning and AI systems. Needless to say, Python developers are high in demand. In Hyderabad, companies like ExterNetworks, Tech Mahindra Limited, We 4 IT Services, Melvault Software Solutions, Alis Software, Junaati technologies, Gridlex Service Pvt Ltd., Softility, Tecmend, Loyalty Juggernaut, Wavelabs Technologies, Vivenns, Chaitra soft, Standav LLP, etc, are actively hiring Python developers to join their team.

In Hyderabad, there are so many advantages of being a Python developer as compared to other cities. Apart from the awesome climate, and amazing food, Hyderabad is a hub for IT companies. This results in more opportunities. Also, the salary of a Python developer in Hyderabad is slightly higher than developers in other languages.

Hyderabad is a hub for IT companies. If you are looking for growth as a Python developer, Hyderabad is the place for you. There are several companies like Tech Mahindra Limited, Wavelabs Technologies, Loyalty Juggernaut, We 4 IT Services, etc. that are looking for Python developers to help them in their projects. Apart from this, the city is a prime location for affordable food and living. 

There are several companies that are looking for Python developers in Hyderabad including ExterNetworks, Loyalty Juggernaut, Melvault Software Solutions, Junaati technologies, Alis Software, Tech Mahindra Limited, Softility, Tecmend, We 4 IT Services, Wavelabs Technologies, Chaitra soft, Gridlex Service Pvt Ltd., Standav LLP, Vivenns, etc.

Python Conferences in Hyderabad, India

S.NoConference nameDateVenue
1.Feature Engineering in ML3rd August 201991 Springboard – Hitech Kondapur, 6/2 Gachibowli – Miyapur Road, Hyderabad
2.Data Science workshop4th August 2019
Analytics Path, Plot No. 28, 4th floor, Suraj Trade Center, Opp. Cyber Towers, Hitech City, Hyderabad

1. Feature Engineering in ML

  • About the Conference: The workshop is for engineers who are new in the field of Data Science and want to get started with Feature Engineering and participate in online competitions.
  • Event Date: 3 August 2019
  • Venue: 91 Springboard – Hitech Kondapur, 6/2 Gachibowli – Miyapur Road, Hyderabad
  • Days of Program: 1
  • Timings: 10:00 AM to 01:00 PM
  • Registration Cost: Free
  • Number of Speakers: 1
  • Speaker and Profile:
    • Sachin Rastogi
  • Who are the major sponsors:
    • School of AI, Hyderabad

2. Data Science workshop

S.NoConference nameDateVenue
1.PyConf Hyderabad, 20177-8 October 2017Conference Hall, IIIT Hyderabad, Hyderabad
2.PyCon India, 2018
5th - 9th October 2018
Hyderabad International Convention Centre, Hyderabad

1. PyConf Hyderabad, 2017

  • About the Conference: This conference brought together the community members involved in developing applications using the open-source, high level Python Programming language. 
  • Event Date: 7-8 October 2017
  • Venue: Conference Hall, IIIT Hyderabad, Hyderabad
  • Days of Program: 2
  • Timings – 09:30 to 17:00
  • Speakers & Profile:
    • Yves Hilpisch – The Python Quants GmbH
    • Kushal Das – Python Software Foundation, Freedom of the Press Foundation
    • S Anand - Gramener
  • Who were the major sponsors:
    • Pramati
    • Python Software Technology
    • ITVersity
    • RedHat
    • Pipal Academy
    • IBM
    • Jet Brains
    • AWS Activate
    • Google

    2. PyCon India, 2018

    • About the Conference: The Python developer community organized this conference to get the best Python developers on a single platform to discuss the latest trends in the market.
    • Event Date: 5th - 9th October 2018
    • Venue: Hyderabad International Convention Centre, Hyderabad
    • Days of Program: 6
    • Timing: 08:00 AM to 05:00 PM
    • Number of Speakers - 3
    • Speakers & Profile:
      • Armin Ronacher – Creator of Flask & Software Engineer, Sentry.io
      • Carol Willing – Core Developer, CPython & Project Jupyter
      • Travis E. Oliphant – Founder, Quansight & Director, Anaconda Inc.
      • Sidu Ponnappa - Data + People, GO-JEK
    • Who were the major sponsors:
      • DE Shaw & Co
      • GO JEK
      • Indeed
      • AQR
      • Pramati
      • LiveHealth
      • IBM
      • Corteva Agriscience
      • VMWare
      • Zauba Cloud
      • Google Developers
      • Fossee Better Education
      • Zeomega
      • DBS
      • Talent Sprint

    Python Developer Jobs in Hyderabad, India

    A Python developer can earn an average of about Rs. 6,76,829 per year in Hyderabad.

    https://www.indeed.co.in/salaries/Python-Developer-Salaries,-Hyderabad-TS 

    Hyderabad is home to several tech companies that are either developing or working on systems and frameworks powered by Python. This is because Python is a very popular language due to its simplicity and versatility. This has also increased the demand of Python developers and the scope of growth has also increased.

     The companies in Hyderabad looking for Python developers are:

    • We 4 IT Services
    • ExterNetworks
    • Alis Software
    • Junaati Technologies
    • Gridlex Service Pvt Ltd

    The responsibilities of a Python Developer depend on the company he/she is working for. Some of these may include:

    • Writing code for applications
    • Designing and implementing high-performance applications
    • Implementing measures to protect data
    • Writing logic for computations and data processing

    Learn Python Programming in Hyderabad, India

    The main reasons why one should learn Python Programming in Hyderabad include the following:

    • Popularity and potential for high salaries: Python is a popular programming language that is used universally for meeting development needs. It also provides programmers with a lot of options. Python developers earn one of the highest salaries in the industry. 
    • Extensible and portable: These two features of Python allow the developer in performing cross-language operations. All the major platforms like Mac, Linux, Solaris, and PlayStation can support Python.
    • Simple and Easy to learn: The simplicity that Python offers make it one of the most preferred languages by developers. It is a powerful language with a syntax resembling the English language. The following contribute to the simplicity of Python:
      • High level
      • Interpreted 
      • Free and open source
      • The large and active community of developers
    • Web Development: Python comes with different frameworks that help developers in enabling website development. Most of the frameworks that are used to create websites are built on Python which facilitates the fast and stable working of the Python code.
    • Testing Framework: Several companies use Python for validating their ideas or products. There are a number of testing networks in Python that facilitate testing fast workflows and debugging. 
    • Computer Graphics: The Tkinter library of Python allows the development of applications in an easy and fast method. It is used in online as well as offline projects. The ‘pygame' module of Python can be used for developing a game.
    • Scripting and Automation: During the scripting process,
      • The code is in the form of executable scripts
      • These scripts are read and interpreted by the machine
      • During runtime, the script is checked for errors

    Here are the steps you need to follow for creating your first Python program:

    • Step 0: Check if Python is installed on your system or not. Use the command – 'Python—version' that will show the version of Python installed on your system.
    • Step 1: Open any text editor and write your code in it. For example,

    print “Hello world!”

    • Step 2: Save the file as <filename>.py. The .py extension is for telling the Python interpreter that this is a Python file.
    • Step 3: The last step is to open the command terminal or prompt, move to the directory while holding the .py file and use the command <filename>.py.

    Output: Hello world!

    Here are the 2 different ways of running a Python program:

    • Using a Python shell for running the program
      • Open your IDLE (Python GUI) file
      • Type in your Python script and hit enter
      • Your code will start running
    • Using a file for running a Python program 
      • Type your script in a file 
      • Use a ‘.py’ extension to save the file. This tells the system that this is a Python program.  
      • Open the terminal on your system.
      • Go to the directory where your file is stored. Use the following command:
        • Cd directoryName.
        • Hit enter
      • Type the command
        • Chmod a+x filename.py to inform your system that file is an executable program.
      • Next, type ./filename.py for running the program.

    For running Python script on Windows, you can try one of the following options:

    • Through the Python REPL (interpreter)
    • Running a Python program file containing the commands

    First, you need to make sure that Python is installed on your system. To do that, type the following command that will tell you the Python version currently installed:

    Python --version

    • If the Python executable binary is in your classpath, you can enter its REPL shell by typing Python.
    • If the Python executable is in your windows classpath, you have to open the command prompt and enter the file’s location. 
      • 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.

    For running Python on Mac OS X, you need to do it through the IDLE integrated development environment. Here is what you need to do after installing Python on your system:

    • For running Python scripts from the Terminal window command line or the Finder, you need to create a script in the document editor.
    • In Mac OS X, standard Unix command line editors like vim and emacs are pre-installed.
    • If you are running the Python script from the Terminal window, you need to make sure that /usr/local/bin is in the shell search path.
    • For running Python script from the Finder, you can try one of the following options: 
      • Move it to the PythonLauncher
      • To open a script through the Finder, make PythonLauncher as the default application. The dragging option is one of the preferences given to users from PythonLauncher. This will allow you to change the settings for a single invocation or globally by using its Preferences menu.
    • For running the Python script with a GUI, you need to initialize these scripts using Python.

    Python Applications

    Python is a multi-paradigm, general-purpose, object-oriented programming language. There are several applications that use Python in the real world due to the simplicity and versatility that it offers:

    1. Web application development: When it comes to refine the communication between the protocols, interfaces, and the content management, there are several frameworks provided by the programming language like Bottle, Django, Pyramid, and Flask. These frameworks also have several other features that make Python the go-to language for web application development.
    2. Academics: Python offers several libraries that make it the perfect programming language to use for academic projects and research purposes. The language is extensively used in the field like Machine Learning and Data Science. Some of the examples of Python's libraries are SciPy, NumPy, Pandas, matplotlib, scikit-learn, etc.
    3. GUI-based applications: GUI libraries are used for creating desktop applications. These applications have smooth interfaces thanks to the TkInter library of Python.
    4. Business and enterprise applications: Python is used to build e-commerce and ERP applications as well. It is scalable, readable, extensible, and offers a number of libraries that help Python in creating and supporting large applications. Some examples of popular libraries used for building business and enterprise applications are Odoo and Tryton.
    1. Agiliq
    2. Gramener
    3. GlobalLogic
    4. KTree
    5. Qvantel - Business Support Solutions

    Python Projects

    The best way to learn a programming language is through implementation. Here are the best programming projects that you can take on as a Python beginner:

    • Guess the number game: In this problem, a random number is generated and the player has to make a guess. If the player gets it correct, they win and if they are wrong, the deviation from the number is displayed. The following concepts are used in the problem:
      • Variables – For storing and accessing data
      • Conditional statements - For checking the answer’s validity and keeping the game going
      • Random function – For generating a random number
      • I/O – For taking the input from the player
    • To-do list application: During the coding journey, every programmer develops a to-do list application. In the list, you must be able to add, update and delete items. The following concepts are used in this project:
      • I/O: For taking inputs and providing outputs to the user.
      • Variables – For storing and accessing data in the program.
      • Conditional statements – For controlling the program’s flow
      • UI – For creating UI with buttons using GUI libraries
    • Adventure game: In this game, a player has to give the directions and the character moves accordingly. Walls are used as a constraint and every time a player hits a wall, a message is displayed. The concepts used in this problem are:
      • I/O: For taking directions as input and providing output messages
      • List and data structures: For storing the game’s map
      • Conditional statements – For controlling the program’s flow
      • UI – Creating smooth UI with buttons using GUI libraries
      • Variables – For storing and accessing data in the game
    • Calculator: This is a simple problem that includes creating a UI calculator application. It involves the usage of the following concepts:
      • I/O: For taking numbers as input and providing results as output.
      • UI - GUI libraries are used for creating buttons and display field
      • Conditional statements – For checking the statement’s validity
      • Variables – for storing and accessing the data in the game

    If you want to learn how to structure a Python project, here are the top 3 resources to do so:

    1. Learn Python the Hard Way: This book is recommended for an experienced programmer who wants to become an industry standard Python developer. The book contains tricks on debugging and fixing the code, structuring the project and much more.
    2. scikit-learn documentation: This is a Python library used for Machine Learning. It contains a number of algorithms that are used in data science projects.
    3. Python Cookbook: An all-in-one book, it is a must-read for every Python programmer. It contains all the concepts and information required to become an industry-grade developer. Apart from the basics, it also covers project structuring.

    When it comes to programming languages, the best way to learn its implementation is through projects. Here are some tips that will help you find interesting Python projects:

    • Meetups: Meetups are a great way to interact and network with other Python developers in Hyderabad. You can discuss projects, new innovations, and the latest technology trends with them. It's a great opportunity to meet your fellow Python developers and get inspired. 
    • Social coding: Social coding is another way to help you learn the implementation of Python. Take up a project from an NGO and help contribute to them.
    • Self-made projects: Think of a necessity and transform it into a project.
    • Hackathons: This is a great platform for taking on projects. You can even help others with their projects.
    • Open-source: Python has a huge open-source community from where you can take any package and start contributing to it.

    Python Books

    Many top Python developers have written books that will help you learn the concepts and implementation of Python programming language. Here is a list from which you can choose the best-suited book for you:

    1. Python Cookbook: This book contains everything you need to know about Python. It covers the basics as well as complete guidance on writing industry grade code. In the book, you will go through basic topics like text, strings, generators, concurrency, File I/O, etc. and advanced topics like utility scripting, data processing, system administration, data encoding and much more.
    2. Head First Python: This book follows a visual approach instead of a text-based approach. The author has used hands-on exercises to help you understand the basic concepts of Python and start your Python career. You will learn to create simple, built-in functions and your very own web applications that use data wrangling, exception handling, and database.
    3. Learn Python the Hard Way: Recommended for experienced programmers, this book contains 52 exercises that will help you learn how to code professionally. The author, Zed Shaw, wrote the book to help beginners become an industry-grade Python coder. It covers structuring the program, debugging, testing and avoiding mistakes made by other professionals, etc. It also includes some tricks that professionals use for finding errors in their code. It is a must-read for aspiring Python developers.
    4. Python Programming: An Introduction to Computer Science: If you are a complete beginner in programming and want to kick start your Python career, this is the best book for you. It starts with the introduction of computer science concepts and slowly moves up to building up the knowledge in a way that is easy and interesting.

    If you are a beginner in the Python programming language, it is essential to choose the right book. Here are the top 3 Python books for beginners:

    • Python Programming: An Introduction to Computer Science: Designed for college students, this book will help you start your programming journey. All the important concepts of computer science are covered in the book.
    • Murach's Python Programming: This book is designed for beginners who are new to the programming language as well. The book contains four sections that will help you in learning Python.
      • Section 1: Covers the basic concepts of the programming world and computer science.
      • Section 2: Highlights the skills required by every Python developer. Section 3: Introduces the concepts and development of Object-oriented programming (OOP)
      • Section 4: The last section is about implementation. It will teach you how to develop a program for the real world using GUI and database.
    • Learn Python in One Day: If you are new to programming and had bad luck with other books, you can try this short book. It will help you cover the basics of Python quickly. It uses examples that will help you understand the concepts of Python.

    The top 3 Python books for experts are as follows-

    • Python Cookbook: If you want to understand the current coding standards of the industry, this book is for you. It will also help you understand the basic as well as advanced features of Python. Specifically written for Python 3, this book covers the core language topics along with the tasks that can be used in several other applications. This book is for experienced programmers and covers the following topics:
      • Data processing and encoding
      • Metaprogramming
      • Using C extensions in your Python program
      • Exception handling, debugging, and testing
      • Network and web programming
    • Learn Python the Hard Way: This book teaches programmers how to discipline themselves, be persistent, and commit to a task. Written by Zed Shaw, the book consists of 52 exercises that highlight the mistakes made by the programmers. It contains tips on fixing the mistakes and effectively structuring the program. You will also be introduced on tricks to fix the errors and debug the code that is commonly used by the expert Python developers. The main topics that the book covers include:
      • Python packaging
      • Debugging and testing
      • Composition and inheritance
      • Basic game and web development
      • Organizing, writing code, and program designing
    • Python Crash Course: A Hands-On, Project-Based Introduction to Programming: Divided into two halves, the first half of the book covers the basics of the Python programming language and the second half teaches you how to implement that knowledge into 3 different projects that include deployment on the internet as well. It covers the following highlights:
      • Data visualization
      • Integration of powerful and robust libraries like matplotlib, NumPy, etc. to your program.
      • How to find and debug one’s own code.
      • Make interactive 2D games.

    Python Setup

    Python is independent of the platform. Once you have written a Python script, you can run it anywhere irrespective of the platform.

    • Depending on the operating system that you are using, there are different methods for installing Python.
    • If you have Python installed on your system, you can start writing and running Python scripts.

    For installing Python, one needs to use the Anaconda Python package. Here is how you can download and install Python 3 in Windows:

    • Visit the following link:
    • Select the Anaconda tab from the menu and then click the Download tab.
    • Select the download that suits your operating system viz. Linux, OSX or Windows.
      • Select the Python 3.6 option 
      • Next, select the Graphical Installer
    • Next step is to initiate the installation of the Anaconda Package.
      • You need to have administrative privileges.
      • Click on the downloaded Anaconda file.
      • You will see the Anaconda installation wizard that will not take more than 10 minutes or 1 GB of disk space.
    • Initialize and update Anaconda
      • Next step is to check if the installed Anaconda Python environment is up to date or not.
      • There is a full set of graphical tools available in the Anaconda Python package known as Anaconda Navigator. This can be launched through the application launcher.
      • Choose the Conda option from the Application Launcher window. 
      • To confirm if Conda is installed in the system, open a command line window and use the following command:
        • Conda -V
      • If there is no error, it means that Conda was successfully installed.
      • Type in the following command to make sure that Conda version is up to date.
        • Conda update conda
        • Conda update anaconda

    Python 2.7 is preinstalled on Mac OS X. But if you want to install a newer version, you need to download the latest version from the Python website:

    • As you start installing Python on Mac OS X, you get the following:
      • /Library/Frameworks/Python.framework, including the Python libraries and executable. The installer adds this location to the shell path automatically. If you want to uninstall MacPython, you can just remove this from the system.
      • In the Applications folder, a folder named MacPython 2.7 will be created. Here, you will find IDLE that is part of the standard Python distribution and is the development environment.
        • It also includes PythonLauncher that is responsible for handling the double clicking Python scripts from the Finder.
        • The Build Applet tool is also included that allows packaging of the Python scripts as standalone applications.
    • Apple provides the build of Python that is installed in the /usr/bin/Python and /System/Library/Frameworks/Python.framework. The user is not supposed to modify or delete them as they are controlled by Apple.
    • This will also include a help menu that allows the developer to access the documentation. This contains tutorials and FAQs that help the developers.

    If you have Ubuntu LTS, you will have Python 2.7 and Python 3.5 preinstalled. However, if you don't have Python installed on your Ubuntu, you need to follow the below mentioned steps:

    • First, you need to update the apt-get package. For that, open a terminal, type in the following command and enter the password:

    $ sudo apt-get update

    • Next, to install Python 3.6, enter the following command and type in the password when prompted:

    $ sudo apt-get install Python3.6

    • Use the following command to run Python 3.6:

    $ Python3

    This will launch the Python 3interpreter. You also need to install some third-party Python packages like pip and setuptools.

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    Faq

    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

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    Python Programming Course in Hyderabad

    Hyderabad is the capital of the southern Indian state of Telangana and the de jure capital of Andhra Pradesh. Endearingly called the Pearl City, Hyderabad offers a variety of tourist attractions ranging from Heritage monuments, Lakes and Parks, Gardens and Resorts, Museums to scrumptious cuisine and an amazing shopping experience. It is as much known for its Charminar as the Taj Mahal is of Agra or the Eiffel Tower is of Paris. Set up in 1591 by Muhammad Quli Qutb Shah, Hyderabad stayed under the rule of the Qutb Shahi dynasty for nearly a century before the Mughals captured the region. In 2014, the newly formed state of Telangana split from Andhra Pradesh and the city became joint capital of the two states, a transitional arrangement scheduled to end by 2025. The city has a vibrant software industry and offers immense scope for software professionals in Agile & Scrum, Project Management, IT Security etc, beside others. Note: Please note that the actual venue may change according to convenience, and will be communicated after the registration.