JOIN PYTHON MASTERCLASS COURSE IN HYDERABAD

Python is a general-purpose programming language used by both small-scale as well as large-scale establishments. The widespread usage of Python is attributed to its easy readability and large standard library. It is also very versatile because it supports multiple paradigms such as functional, procedural and object-oriented programming styles. If you are looking to delve deeper into Data Science and Machine learning, then this is the right place to start.

Course Overview

Enrolling in Python Masterclass would provide you with the expertise in using Python language suite for all kinds of applications. This helps you become an exceptional candidate who’s great at resolving broad-based issues, reducing extra operational costs, docking of technology and time management. Data technology is on the rise and Python programmers, business analysts and data scientists would be considered as great assets for any tech-savvy organisation. Enrol in our best Python developer course taught by skill-full professional trainers at our leading IT training institute at Hyderabad today!

Course Highlights

We help you become the best Python programmer through -

  • Providing you with the best Python Masterclass course by our expert trainers.
  • Classroom, virtual and fast-track interactive courses with best practices.
  • Making you proficient in data processing, servers, deployment of applications and OSs.

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Enrol Today! 8 Reasons Why We Are The Leading Python Training Institute in Hyderabad

Best Training Course

Best Python training courses in Hyderabad guaranteeing 100% Placement Assistance.

Pedagogy

Comprehensive and holistic approach in each subject.

Support

Regular doubt-clarification sessions, assignments, free e-book and materials for all modules.

Back-Up

Back-up classes for the ones you’ve missed out.


Best Opportunities

Free internship for selected candidates.

Best Exposure

Real-World project exposure.

Certifications

Certification after due-completion of course.

Upskill & Upgrade

Employability skills to get ready for corporate challenges.

LEARN MORE ABOUT THE PYTHON MASTERCLASS COURSE

The most comprehensive and detailed Python Masterclass course to facilitate your clear understanding. There will be multiple professional trainers, with the requisite expertise on the subject, who will be conducting the sessions. Each module is designed by the experts which are:

  • Well-elaborated.
  • Includes minute details aiding ‘Beginner to Expert’ transformation.
  • Career & personal development oriented approach.

Our friendly teachers who are also industry commanders provide extensive support for knowledge transfer through application-based pedagogy & real-world projects.

Python Masterclass Course Curriculum

Setting up and running Python

  • Distributions – python.org,anaconda python
  • Shells – python, Jupyter
  • IDES – Pycharm, spyder, eclipse
  • Editors - Visual Studio Code, Atom
  • Python 2 vs 3
  • First program - ‘Hello World!’
  • Interpretation and pyc, .pyo files
  • Python Implementations –CPython, Ironpython, Jython, pypy

Introduction

  • Values and variables
  • Python data types
  • type(), id(), sys.getsizeof()
  • Python labeling system
  • Object pooling
  • Conversion functions
  • The language which knew infinity
  • Console input, output
  • Operators in python
    • Arithmetic operators
    • Relational operators
    • Logical operators
    • Assignment operators
    • Bitwise operators
    • Membership operators
    • Identity operators
    • Ternary Operator
  • Strings
    • Define a string - Multiple quotes and Multiple lines
    • String functions
    • String slicing - start, end & Step
    • Negative indexing
  • Built-in functions
  • Type conversions
    • int()
    • float()
    • bool()
    • str()
    • complex()
  • Interview questions
  • Exercise Programs
  • Summary

Control structures:

  • if statement
  • if - else statement
  • if - elif statement
  • Nest if-else
  • Multiple if
  • Which control structure to choose?
  • Looping statements
    • while loop
    • for loop
      • range()
      • xrange()
      • Iterator and generator Introduction
    • for - else
    • When to use for-else ?
  • Interview Questions
    • Exercise Programs
    • Summary

Data structures

  • List
    • Introduction to List
    • Purpose of a List
    • Iterating through a List
    • List slicing, -ve indexing
    • Internals of list
    • List Operations
    • Searching for an element
      • In and count()
    • Adding an element
      • append()
      • insert()
    • Removing an element
      • remove()
      • pop()
    • Merging two lists
      • + operator
      • extend()
    • Ordering a list
      • sort()
      • reverse()
    • Finding index of an element - index()
      • List of lists
      • Comparing lists
  • Homogeneous data
    • Built-in array.array()
    • numpy.array()
  • Tuple
    • Introduction of Tuple
    • Tuple Slicing
    • -ve indexing
    • Iterating through a Tuple
    • List of tuples Vs Tuple of Lists
    • Purpose of a tuple
  • List Vs Tuple - An interviewer’s question
  • Set
    • Introduction of set
    • How to remove duplicates in list?
    • How set removes duplicates?
    • Set functions
      • Searching for an element
      • In - The fastest
      • Adding an element
      • add()
      • Removing an element
      • remove()
      • discard()
      • pop()
    • Relation between two sets
      • intersection()
      • union()
      • difference()
      • isdisjoint()
      • issubset()
      • issuperset()
    • Merging two sets
      • update()
  • Sets are hashable but Lists or unhashable
  • Set Use-Cases
  • Dictionary
    • Introduction of Dictionary - Associative data structure
    • Creating a Dictionary
    • Adding elements to Dictionary
    • Deleting key value pair
    • Updating / extending a Dictionary
    • Iterating through a Dictionary
    • Tuple unpacking method
    • Converting list/tuples of tuples/lists into Dictionary
    • Converting Dictionary to List of tuples
    • Lambda introduction
    • Sorting List of tuples and dictionaries
    • Finding max(), min() in a dict
    • Wherever you go, dictionary follows You!
  • Counter() - simplest counting algorithm
  • DefaultDict - Always has a value
  • OrderedDict - Maintains order
  • Dequeue - Short time memory loss
  • Forzenset() – hashable set
  • namedtuple() – hashable dict
  • Heapq - efficient in-memory min-heap()
    • heapify()
    • nlargest()
    • nsmallest()
    • heappush()
    • heappop()
  • Importance of Hashability
  • Packing and Unpacking
    • Swapping two values
    • List packing and Unpacking
    • Tuple packing and Unpacking
    • String packing and Unpacking
    • Set packing and Unpacking
    • Iterator using iter() and next()

Specialized Sequences

  • range
  • Zip
  • Enumerate
  • Map

Exception Handling

  • Catching and Raising Exceptions
  • Raising Exceptions |manually

GUI Programming

  • Tkinter
  • Python GUI
  • GUI Form
  • Lambda trick
  • Games using GUI

Functions

  • Purpose of a function
  • Defining a function
  • Calling a function
  • Function parameter passing
    • Formal arguments
    • Actual arguments
    • Positional arguments
    • Keyword arguments
    • Variable arguments
    • Variable keyword arguments
    • Use-Case *args, **kwargs
  • Function call stack
    • locals()
    • globals()
    • Stackframe
  • Call-by-object-reference
    • Shallow copy - copy.copy()
    • Deep copy - copy.deepcopy()

Modules

  • Python Code Files
  • Importing functions from another file
  • __name__: Preventing unwanted code execution
  • Importing from a folder
  • Folders Vs Packages
  • __init__.py
  • Namespace
  • __all__
  • Import *
  • Private global variables and functions
  • __butiltins__
  • Recursive imports
  • Use Case: Project Structure

Comprehensions

  • List comprehension
  • Tuple comprehension
  • Set comprehension
  • Dictionary comprehension
  • enumerate
  • Zip and unzip

Functional programming

  • Procedural vs Functional
  • Pure functions
  • Map()
  • Reduce()
  • Filter()
  • Lambdas
  • Loop vs Comprehension vs Map

File - IO

  • Creating file
  • File reading
  • File writing
  • File modes
  • Line by line file reading
  • Writing multiple lines
  • seek()
  • tell()
  • Binary files
  • Pickling
  • Use Case - Cleaning text

Object Orientation

  • Purpose of Object Orientation
  • Design starts with Data Binding
  • Abstraction - What the world sees
  • Data hiding - What is hidden
  • Encapsulation - Boundary between Abstraction and Data hiding
  • Class - Classification of type
  • Creating a class type
  • Creating multiple instances of a functionality
  • Object - The physical existence of a class
  • __init__() - the initializer
  • Data members
  • Member functions(methods)
  • Method invocation
  • Printing objects
  • __str__()
  • __repr__()
  • Inheritance
    • Use Case - 4 wheeler
    • Types of inheritance
    • Diamond problem
    • MRO
  • Private members
  • Creating inline objects, classes, types
  • Class method
  • Static method and static variables
  • Function Objects(Functor) - Callable Objects
  • Class as decorator and Context manager
  • Polymorphism - Incorporating changes
  • Operator Overloading
    • __lt__()
    • __add__()
    • __hash__()
    • __eq__()
  • Function Overloading in python
  • Sorting objects
  • Hashing objects Exception Handling
  • Purpose of Exception Handling
  • try block
  • except block
  • Else block
  • finally block
  • Built-in exceptions
  • Order of ‘except’ statements
  • Exception - mother of all exceptions
  • Writing Custom exceptions
  • Stack Unwinding
  • Use Case - finally
  • Interview Questions
  • Summary

Database connections

  • Database introduction
  • MYSQL database connection setup
  • Installing connector
  • Cursor
  • Running a query
  • Iterating a cursor
  • Fetching data
  • Closing a connection

Regular Expressions

  • Functions
  • re.match()
    • start()
    • end()
    • group()
  • re.search()
  • re.findall()
  • Regex symbols
  • Greedy and non-greedy
  • Interview Questions
  • Exercise Programs
  • Summary

CSV and JSON serialization

  • Data analysis
  • Numpy
    • Data Types
    • Numpy arrays
  • Double dimension arrays
    • Resizing, reshaping
    • Vector multiplication
    • Boolean filtering
    • Querying using where() function
    • Indexing
    • Slicing
    • Mean, median, standard
    • deviation, average
    • Transpose
    • broadcasting
  • Numpy matrix
    • Addition, multiplication
    • Transpose, inverse
  • Numpy random module
    • broadcasting of array math
    • standard deviation
    • conditional probability
    • correlation and covariance

Pandas

  • Series
    • Constructing from dictionaries
    • Custom index
    • Data filtering
  • Data Frames
    • Constructing from a dictionary
    • with values as lists
    • Custom indexing
    • Rearranging the columns
    • Accessing values loc(), iloc(), at()&iat()
    • Setting values
    • Sum
    • cumulative sum
    • Assigning a column to the data frame
    • Adding a new column
    • Deleting a column
    • Slicing
    • Indexing and Advanced indexing
    • Boolean indexing
    • Transposing
    • Sort by
    • Concatenate
    • Merge
    • 1. Inner join
    • 2. Outer join
    • 3. Left outer join
    • 4. Right outer join
    • 5. Merge on columns
    • Join
    • Group By- Aggregation
    • Data Munging
    • 6. Working with missing data
    • Reading Data from CSV, Excel, JSON
    • Writing Data to CSV, Excel, JSON, HTML
    • Reading data from database and storing in data frame
    • Writing data frame to database
    • Handling PDF files - tabula-py

SciPy

  • Introduction to SciPy and its functions
  • building on top of NumPy
  • cluster
  • linalg
  • signal
  • optimize
  • integrate
  • subpackages
  • SciPy with Bayes Theorem

Maths

  • sin, cos and tan
  • math.log()
  • math.log10()
  • math.exp()
  • math.pow()
  • math.sqrt()
  • ceil() floor()

Introduction of Django, BS4:

  • Why Django
  • Use of Django
  • Database connectivity
  • Get your database running
  • Install the Django code
  • Support for template engines
  • The Django template language
  • Django with REST Web Services
    • Client Server architecture
    • MVC and MVT
    • Web Application
    • Website
    • Web server – Apache, nginx, node
    • Web client
    • Web framework
    • Introduction to Ubuntu Linux
    • Installaing mysql and virtualenv
    • Creating virtual environments for python3
    • Installing Django modules
    • Creating first basic Django Project – Web-news Use-Case
    • Process of Migrations
    • Request response cycle
    • Understanding ORM
    • Creating Model classes
    • Admin Interface
    • Adding Data through Admin Interface
    • Templating and rendering
    • Creating Django Apps
    • URL Routing
    • Django Template tags and template programming
    • Django rest framework
    • Understanding REST Architecture
    • HTTP GET, PUT, POST, DELETE and UPDATE
    • Serializer classes
    • JSON serialization
    • Writing REST API
    • Testing with Postman
    • Nginx Setup & AWS Deployment walkthrough
    • Working with domain names setting public IP walkthrough
  • BS4 uses
  • How to scrape data using BS4

Web scraping with Python

  • Introduction to web scraping in Python
  • the various web scraping libraries
  • beautifulsoup
  • Scrapy Python packages
  • installing of beautifulsoup
  • installing Python parser lxml
  • creating soup object with input HTML
  • searching of tree
  • full or partial parsing
  • output print
  • searching the tree

FAQs


I’m a beginner. Is this course suitable for me?

Yes. This is a comprehensive course suitable for beginners.

Who else can join this course?

Any graduates (including IT or business field) can enrol for this course. Professionals can also up-skill themselves for their career growth and development.

Beginner students aspiring to make it big in the field of software technology can also enrol for this course.

What are the benefits of taking Python Masterclass training?

Taking Python Masterclass training helps in building a career as a Web Developer, Bio Analyst, Machine Learning expert, etc. Learning Python helps you in understanding the basics of other key programming languages and more.

What scope do I have as a Python developer?

A Python programmer is never out of demand. Various companies and corporates recruit programmers to create & develop web applications & design games, analytical programs, machine learning software, mobile applications and a lot more. With the current demand and high scope, there will be good career growth in being a Python programmer.

Why should I pursue Python Masterclass Training course from GingerBoard Academy?

GingerBoard Academy is a leading institute that offers training courses in Python technologies by experts with the sole objective of bridging the gap between the education curriculum and the IT industry.

  • With our best Python Masterclass training course in Hyderabad, excellent teaching methodologies are followed so that students & trainees can attain high-level knowledge on each and every concept of Python.
  • Students & Trainees are guided throughout the training in such a way that they can develop a stand-alone application by the end of Python Masterclass training course in Hyderabad.
  • Our industry experts deliver expert training with practical awareness & theoretical understanding.
  • Both offline, as well as online course material covering all the topics, is given to help the trainees learn better. Technical skills flourish through regular assessments and daily assignments.
  • The excellent learning environment, regular assistance, and expert-devised training procedures are the key features of GingerBoard Academy Python Masterclass course in Hyderabad.
  • Your careers are ever-evolving, therefore it is essential for you to have a learning solution that inspires you to create the future. With our platform, you can always match up your pace, work faster and smarter, and gain in-demand skills with the ever-changing speed & path of technology!

Where can I apply Python in real-life?

Python is heavily used for applications & programming that involves statistics, analytics, computational science and factual sciences. It has wide range of applications in the field of health, education, business, technology, defence, research, etc.

What kind of projects will I be a part of during my course training?

GingerBoard is offering you the most relevant, valuable and industry-oriented projects as part of all its course programs. This enables you to implement the principles and concepts that you’ve acquired in real-world industry setup. All our best training programs come with multiple projects that thoroughly test your skills, boost your learning and practical knowledge thus making you completely industry-ready. You will work on highly exciting projects in the domains of advanced technology, eCommerce, marketing, sales, networking, banking, insurance, etc. Upon successful completion of the projects, you will become a certified professional!

Is there any placement assistance after I complete my course?

GingerBoard actively provides placement assistance to all learners who have successfully completed the training. We also help you tackle job interviews through mock interviews and resume preparation as well.

We are exclusively tied-up with numerous MNCs from around the world where you can be placed with a strengthened authentic profile. We are associated with outstanding organisations among other equally great enterprises.

Do we have demo sessions for the course?

Definitely. We believe that every individual should get accustomed to the GingerBoard way of teaching and training. Demo sessions enable you to make concrete decisions regarding career development.

How to attend the missed sessions?

GingerBoard Academy ensures that every course and industrial training you undergo is seamless and efficient in function. You can inform your trainer priorly about the classes or sessions missed, then apply for back up classes online.

What kind of job opportunities would be available post completion of my certified course?

After you’ve successfully completed the course you will be able to work under the following designations:

  • Python Analysts
  • Instructors
  • Bio-Python designers
  • Python Engineer

Pursue your Dream Career with our Best Courses and expert trainers! Register Today!

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