Python Course in Hyderabad

Get Ready for New age job roles by learning the programming language that is most popular for Data Analytics – Python

Web Training’s Full Stack Python Training Course in Hyderabad will make you an expert in Python Programming for web development with Django Framework. Get In-Depth Practical exposure in Python libraries such as Pandas, matplotlib, scipy, numpy, PyGTK, SymPy, Flask, PyTorch, and nose for data analysis and data visualizations with Real-World Projects.

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Type

Classroom Live

Digital Modules

25+

Duration

3 Months

Certifications

10+

Last Updated

05 August 2024

What is Python Programming?

Python is a high-level, general-purpose interpreted programming and Scripting language with simple easy syntax and dynamic semantics.

It is widely used in advanced web development, data science, machine learning, and artificial intelligence, etc.
Python is far easier to learn than other programming languages and allows you to develop beautiful Desktop GUI applications, web applications, web frameworks at much greater convenience.
Python is a free, cross-platform, open-source programming language with extensive support modules and community development, easy integration with web services, user-friendly data structures, and GUI-based desktop applications.

What is Data Science?

Data science is the process of massive mining amounts of raw data, both organized and unstructured, in order to uncover patterns and derive meaningful knowledge. This is an interdisciplinary field, and the fundamentals of data science include statistics, inference, computer science, predictive analytics, algorithm development for machine learning, and new tools for extracting insights from massive data. What makes Data Science so important is that it can be used in so many different ways, from everyday tasks like asking Siri or Alexa for recommendations to more complex ones like driving an autonomous car. Computing, Statistics, Inference, Machine Learning algorithms, Predictive Analysis, and new technologies make up the multidisciplinary field of Data Science.

Python Course Syllabus

Module 1 - Overview

Why do we need Python?
Program structure

Module 2 - Setup

Python Installation
Execution Types
What is an interpreter?
Interpreters vs Compilers
Using the Python Interpreter
Interactive Mode
Running python files
Working with Python shell
Integrated Development Environments (IDES)
Interactive Mode Programming
Script Mode Programming

Module 3 - Basic Concepts

Basic Operators
Types of Operator
Python Arithmetic Operators
Python Comparison Operators
Python Assignment Operators
Python Bitwise Operators
Python Logical Operators
Python Membership Operators (in, not in)
Python Identity Operators (is, is not)
Python Operators Precedence

Module 4 - Basic Concepts

Data Types
Variables
Assigning Values to Variables
Multiple Assignment
Python Numbers
Python Strings
Accessing Values in Strings
String Special Operators
String Formatting Operator
Triple Quotes
Built-in String Operations
Python Lists
Accessing Values in Lists
Updating Lists
Delete List Elements
Basic List Operations
Indexing, Slicing, and Matrixes
Built-in List Functions & Methods
Python Tuples
Accessing Values in Tuples
Updating Tuples
Delete Tuple Elements
Basic Tuples Operations
Indexing, Slicing, and Matrixes
No Enclosing Delimiters
Built-in Tuple Functions
Python Dictionary
Accessing Values in Dictionary
Updating Dictionary
Delete Dictionary Elements
Properties of Dictionary Keys
Built-in Dictionary Functions & Methods

Module 5 - Basic Operators in Python

Types of Operator
Python Arithmetic Operators
Python Comparison Operators
Python Assignment Operators
Python Bitwise Operators
Python Logical Operators
Python Membership Operators (in, not in)
Python Identity Operators (is, is not)
Python Operators Precedence

Module 6 - Loops and Decision Making

if statements
..else statements
nested if statements
while loop
for loop
nested loops
Loop Control Statements
1. break statement
2. continue statement
3. pass statement

Module 7 - Functions

Defining a Function
Syntax
Calling a Function
Pass by reference vs value
Function Arguments
Required arguments
Keyword arguments
Default arguments
Variable-length arguments
The return Statement
Scope of Variables
Global vs. Local variables

Module 8 - Python Modules and Packages

Framework vs Packages
Folium Introduction
Why are modules used?
Creating modules
The import Statement
The from…import Statement
The from…import * Statement
Locating Modules
The PYTHONPATH Variable
Namespaces and Scoping
The dir( ) Function
The globals() and locals() Functions
The reload() Function
Packages in Python

Module 9 - Basic OOPs Concept

Creating class in Python
Documented String
Private Identifier
Constructor
Inheritance
Polymorphism

Module 10 - Decorator, Iterator and Generator

Module 11 - Anonymous Function

Lambda
Map
Filter
Reduce

Module 12 - File Manipulation

Opening Text File
Working with a File on Python
The open function
File modes
The file object attributes
close() method
write() method
read() method
Files: Input
Files: Output
Reading files
Renaming & deleting files
Writing into a file
remove() method

Module 13 - Python GUI

Basic Operations using Tkinter
Buttons and Textbox
Menu Bar
Message Box and Radio Button
Checkbox and Event Creating
Creating Application in GUI

Module 14 - SQL and Python

Overview of SQLite
Integrating Python with SQLite

Module 15 - NoSQL and Python

Overview of NoSQL
Integrating Python with NoSQL

Module 16 - Project Demonstration Tkinter with SQL

Project Demonstration Tkinter with SQL

Module 17 - Other Concepts

Errors and Exception Handling
Standard exceptions
Assertions in Python
The assert Statement
What is an Exception?
Handling an exception
Syntax
The except Clause with No Exceptions
The except Clause with Multiple Exceptions
The try-finally Clause
The argument of an Exception
Example with Tkinter Application
Regular Expression
Powerful Utilities
Multithreading
List Comprehensive
Shallow and Deep Copy
Unit testing

Module 18 - Advanced Concept -- Overviews

Networking Overview
Sending and Receiving Email by Python
Basics of Pandas and Numpy
How to use Anaconda
How to create a dashboard
Overview of Django

Python Course Learning Objectives

To understand why Python is a useful scripting language for developers.

To learn how to design and program Python applications.

To learn how to use lists, tuples, and dictionaries in Python programs.

To learn how to identify Python object types.

To learn how to use indexing and slicing to access data in Python programs.

To define the structure and components of a Python program.

To learn how to write loops and decision statements in Python.

To learn how to use exception handling in Python applications for error handling.

To learn how to write functions and pass arguments in Python.

To learn how to build and package Python modules for reusability.

To learn how to read and write files in Python.

To learn how to design object‐oriented programs with Python classes.

To learn how to use class inheritance in Python for reusability.

Course Highlights

Learn Certified Data Science Course
Get trained by industry experts.
Advance Data Science Classroom and Online training course
5+ Real-time projects
100% career-oriented training
Internship and Placement Support

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Why Python Development Training?

High paying Skills: It is a powerful and versatile programming language that provides numerous job opportunities and has large salary growth potential. Among the world’s well-known and prestigious organizations that use Python for their application development are NASA, GOOGLE, NETFLIX, YOUTUBE, AMAZON, FACEBOOK.
The average Python programmer salary in the United States is $108,598 per year, making Python the third highest-paid programming language according to Daxx’s research.
In India, The average salary for a Python Developer is around ₹5 – 6. Lakhs per year. (Source: Glassdoor)
Awesome libraries and frameworks: Python comes with a pre-standard library that is extremely useful for software development. Python libraries have proven to be extremely useful for a wide range of tasks, including web development, machine learning, image recognition, data analysis, and visualization, as well as a library for making HTTP requests.
Aside from that, a wide range of open-source third-party libraries makes it extremely simple to develop applications.
Easy To Learn & Simple To Use: Python is an interpreted programming language.As a result, the code is performed at run time and does not need to be compiled like other languages (C++ or C). Python’s main advanced feature is its simple syntax and its readability.
As a result, it has several subtle advantages such as dynamic typing, automatic memory management, and scoping. As it is a very simple and straightforward language to learn, Python eliminates the need for complex syntax.
If you want to print ‘hello world,’ you must write the three lines above, whereas Python requires only one line to print “hello world.” It’s that SIMPLE.
Large Active Community Base: Python has a large community that can assist you with programming problems or software concerns. You can post your questions in the community forums, and people will respond in real-time.
Uses in Graphical user Interfaces (GUI): Python has been used to create GUI-based applications such as Inkscape, Paint Shop Pro, and Scribus. Python is also used to create games. Civilization IV and Eve of Tanks are two fantastic examples.
Uses in Web Development: Due to frameworks such as Django, Pyramid, Flask, and Web2Py, a large number of well-known companies throughout the world employ Python in their online application stack.
Uses in Machine Learning (ML): Python is one of the most popular programming languages for machine learning. Python makes machine learning enthusiasts’ lives much easier because of its simple syntax and support for a variety of machine learning libraries such as Keras, Scikit-Learn, Tensor Flow, and OpenCV.
Uses in Data Science: Python provides many libraries to data scientists such as Keras, Scikit-Learn, matplotlib, and TensorFlow to help them carry out the steps effectively.

Scope Of Python in India

Stack Overflow’s Developer Survey claimed Python to be the third-most-popular programming language in the world and Python maintains a strong position in the top ten of the TIOBE and PYPL Popularity of Programming Language Indexes.

Python Applications - Python is a great choice for:-

Web and Internet development

(e.g., Django and Pyramid frameworks, Flask and Bottle micro-frameworks)

Scientific and numeric computing

(e.g., SciPy – a collection of packages for mathematics, science, and engineering; I-python – an interactive shell that features editing and recording of work sessions)

Education Sector

(it’s a demanded language for teaching programming!)

Desktop GUIs

(e.g., widgets, Kivy, Qt)

Software Development

(build control, management, and testing – Scons, Buildbot, Apache Gump, Roundup, Trac)

Business applications

(ERP and e-commerce systems – Odoo, Tryton)

Games

(e.g., Battlefield series, Sid Meier\’s Civilization IV…), websites and services (e.g., Dropbox, UBER, Pinterest, BuzzFeed…)

With Web Training’s Full Stack Python Training Programming in Hyderabad, we enable you to seek advanced python programming skills.

A python trainee can occupy a variety of job titles, as Python Developer, Data Scientist, and Machine Learning Engineer

Python developers frequently work on the server side, writing logic or building the platform. Python Developers assist Front-End Developers by integrating their work with the Python application. They are typically responsible for deploying applications and collaborating with development and design teams to create user-friendly websites and applications. As a result, the industry is constantly on the search for Python developers familiar with Django and Flask.

The national average salary for a Machine Learning Engineer is ₹5 Lakhs per year in India (Source: Glassdoor)

Data Scientist Analyze data to gain valuable insights. To do so, Data Analysts must collect massive amounts of data, sort it, and group it according to the organization’s KPIs or goals. A Data Analyst uses Python libraries to analyze data, process data, analyze datasets, and develop visualizations to present findings in a useful way.

The national average salary for a Machine Learning Engineer is ₹6 Lakhs per Year In India in 2021 (Source: Glassdoor)

Data Scientists combine computer science, mathematics, statistics, and modeling with an in-depth knowledge of their company and industry to uncover new opportunities and strategies. Data Scientists are responsible for analyzing data, developing statistical models, and designing data structures.

The national average salary for a Machine Learning Engineer is ₹10 Lakhs per year in India (Source: Glassdoor)

Eligibility

Students having a basic understanding of any programming language concepts such as what a loop is, what if and else does, how operators are used, and so on will be beneficial. Python can be learned quickly if you have a strong command of the fundamentals of any programming language.

Eligibility

Any Windows, Linux, or macOS operating system
Python 3.x installed (Anaconda bundle recommended)
An IDE with Python support (PyCharm Community Edition is an excellent free option, but there are several other good ones)

10k+ Active Students

WEB TRAINING’S TRAINING ADVANTAGE

Why Full Stack Python Programming Training Course from Web Trainings Hyderabad?

Highly Interactive Live Online Classes With LMS Support

Real-time classes are conducted by Our Instructors at fixed batch timings.

Classroom-Like Experience

Get answers to your queries from Instructors in real-time.

24*7 Trainer Support

Be a part of the National Batch & connect with our faculties for any clarification

Our Experience and Achievements

Over 15+ Years of Corporate Experience, Trained over 50000+ Certified Professionals. Southern India’s Most Trusted Educational Brand

FAQ's about Data Sciences Course in Hyderabad

Is it worthwhile to obtain a Python certification?

Yes. Obtaining a Python certification is worthwhile, as Python is one of the most widely used and sought-after programming languages available today. The majority of IT jobs today require a working knowledge of the Python programming language for coding and development purposes.

Several of the primary reasons why earning a Python certification is advantageous include the following:

There are over 10,000 job openings in the United States for professionals with Python language skills – LinkedIn.
An entry-level Python developer earns an average salary of US$110,300 per year – Indeed
Python is currently the world's second desired programming language – Stack Exchange

How Difficult Is It to Learn Python and how long does it take to learn python?

Python is considered one of the most simple programming languages to learn. It’s easy to use. Learning the fundamentals of Python programming can take anywhere from five to ten weeks on average.

What is the duration of the Course and Will I Get a Certificate?

This practical Training Comprises 90 days Of Live Classes with Mandatory Projects. On Successful Completion, students will be awarded an Industry accepted Advance Data Science Training Certificate.

What job roles in Data Science can you apply for after the ADS Certification Examination?

Python Developer
Infrastructure Automation Developer
Python Web Developer
Web Designer
Game Developer
Data Analysis and Visualisation

Will I get a placement guarantee?

We provide 100% placement support. On course completion, every student is eligible to apply for an internship depending upon his/her requirements.

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Python Course in Hyderabad

Get Ready for New age job roles by learning the programming language that is most popular for Data Analytics – Python

Type

Digital Modules

Duration

Certifications

Last Updated

What is Python Programming?

What is Data Science?

Python Course Syllabus

Python Course Learning Objectives

To understand why Python is a useful scripting language for developers.

To learn how to design and program Python applications.

To learn how to use lists, tuples, and dictionaries in Python programs.

To learn how to identify Python object types.

To learn how to use indexing and slicing to access data in Python programs.

To define the structure and components of a Python program.

To learn how to write loops and decision statements in Python.

To learn how to use exception handling in Python applications for error handling.

To learn how to write functions and pass arguments in Python.

To learn how to build and package Python modules for reusability.

To learn how to read and write files in Python.

To learn how to design object‐oriented programs with Python classes.

To learn how to use class inheritance in Python for reusability.

Course Highlights

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Why Python Development Training?

Scope Of Python in India

Python Applications - Python is a great choice for:-

Web and Internet development

Scientific and numeric computing

Education Sector

Desktop GUIs

Software Development

Business applications

Games

Eligibility

Eligibility

10k+ Active Students

WEB TRAINING’S TRAINING ADVANTAGE

Why Full Stack Python Programming Training Course from Web Trainings Hyderabad?

Highly Interactive Live Online Classes With LMS Support

Classroom-Like Experience

24*7 Trainer Support

Our Experience and Achievements

FAQ's about Data Sciences Course in Hyderabad

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