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Python Master Program Training Course

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Python Developer Masters program can help you become skilled in Python and opens a career chance in varied domains like Machine Learning, Data Science, Big Data, net Development. This Data Science course, in collaboration with IBM, in collaboration exclusive IBM hackathons, masterclass, and Ask-me-anything sessions for the simplest training expertise. This data scientist certification training provides active exposure to key technologies including R, Python, Machine Learning, Tableau, Hadoop, and Spark via live interaction with practitioners, sensible labs, and industry projects.

 
  • 40+ Hrs Hands On Training
  • 2 Live Projects For Hands-On Learning
  • 50 Hrs Practical Assignments
  • 24/7 Students
  • Exclusive Hackathons and Live interaction with Certified expertIncludes live Master Classes and Ask me anything sessions
  • 220+ hours of live interactive learningLive Online classes by industry experts
  • Capstone and 12+ real-life projectsBuilt on Price Comparison, Content Aggregator and etc.
  • LearnoVita Job Assist™Get noticed by the top hiring companies
For Business

Customized learning paths, 4x outcomes & completion rates; award-winning client support.

Online Classroom Batches Preferred

29- Apr- 2024
Monday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

24- Apr- 2024
Wednesday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

27- Apr- 2024
Saturday (Saturday - Sunday)

Weekend Regular

11:00 AM (IST)

(Class 3hr - 3:30Hrs) / Per Session

27- Apr- 2024
Saturday (Saturday - Sunday)

Weekend Fasttrack

11:00 AM (IST)

(Class 4:30Hr - 5:00Hrs) / Per Session

Can't find a batch you were looking for?
₹124000 ₹62000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Python Master Program Training Overview

Python Developer Masters program can help you to become skilled in Python and opens a career chance in various domains like Machine Learning, knowledge Science, Big Data, net Development. Python is a premier, flexible, and great open-source data language that's easy to learn, simple to use, and has important libraries for data manipulation and interpretation. For over a decade, Python has been used in scientific computing and extremely quantitative domains like Finance, Oil and Gas, Physics, and Signal Process. Today, it's the foremost most well-liked language for computing (AI), Robotics, web Development, and large knowledge.

Python Master Program Training will:

  • Python Certification can help you in understanding the concepts of Python and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and net Scraping.
  • Learn the way to put in writing Python Programming for big data systems like Spark and Hadoop.
  • Python certification is appropriate for beginners, intermediate learners also as Python experts.
  • Learn Python from scratch and work on real-world projects and case studies to urge in-depth hands-on expertise.
  • Get Python Programming heart concepts-control flow, engineers, functions, syntax & indentations.
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Skills You Will Gain
  • Core JSP and Servlets
  • J2EE , Struts, Spring
  • Hibernate, JDBC, Web Services
  • Advanced JSP and Servlets
  • EJB, JDO, JSF
  • Android Development
  • Servlets

Android App Developer Course Key Features 100% Money Back Guarantee

  • 5 Weeks Training

    For Become a Expert
  • Certificate of Training

    From Industry Android App Developer Experts
  • Beginner Friendly

    No Prior Knowledge Required
  • Build 3+ Projects

    For Hands-on Practices
  • Lifetime Access

    To Self-placed Learning
  • Placement Assistance

    To Build Your Career

Top Companies Placement

Being a Python Developer, professional works on the server-side (or back-end) development projects, coding, designing, delivering, and troubleshooting them. Python language in IT systems is used in various fields, including web development, machine learning, artificial intelligence, and academic research. Experts get benefited from substantial pay raises, as shown below.
  • Designation
  • Annual Salary
    Hiring Companies
  • 3.12L
    Min
  • 6.0L
    Average
  • 13.0L
    Max
  • 4.60L
    Min
  • 8.0L
    Average
  • 15.88L
    Max
  • 4.0L
    Min
  • 7.0L
    Average
  • 14.5L
    Max
  • 5.12L
    Min
  • 9.5L
    Average
  • 12.0L
    Max

Training Options

Class Room Training

Talk to Placement Support

  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt

Next Batch Schedule

29- Apr- 2024 (Weekdays Regular)

24- Apr- 2024 (Weekdays Regular)

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Online Training

₹124000₹ 62000

  • preferred
  • Live demonstration of features and practicals.
  • Lifetime access to high-quality self-paced learning and live online class recordings
  • Get complete certification guidance
  • Attend a Free Demo before signing up.

Next Demo Sessions

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Corporate Training

Customized to your team's needs

  • Self-Paced/Live Online/Classroom modes of training available
  • Design your own course content based on your project requirements
  • Learn as per full day schedule and/or flexible timings
  • Gain complete guidance on certification
  • 24x7 learner assistance and support

Self Paced Training

  • 50+ Hours High-quality Video
  • 28+ Downloadable Resource
  • Lifetime Access and 24x7 Support
  • Access on Your Computer or Mobile
  • Get Certificate on Course Completion
  • 3+ Projects
25000 ₹14000

Python Master Program Course Curriculam

Trainers Profile

Trainers are certified professionals with 13+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Python Master Program Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Pre-requisites

  • Working knowledge of Windows, Web sites and browsers & Client/server environment.
  • There are no prerequisites to attend this course but knowledge of performance testing will help.
  • Any software tester / developer, mobile application testers / developers and IT professionals can learn loadrunner performance testing.

Syllabus of Python Master Program Online Course Download syllabus

  • The C Language and its Advantages
  • The Structure of a C Program
  • Writing C Programs
  • Building an Executable Version of a C Program
  • Debugging a C Program
  • Examining and Running a C Application Program
  • Data Types
  • Operands, Operators, and Arithmetic Expressions
  • The Input/Output Concept
  • Formatted Input Function
  • Control-Flow Statements
  • Looping Statements
  • The Data-checking process
  • The C Function
  • Passing Data to Functions
  • Passing an Address to Modify a Value in Memory
  • Using Functions in the Checkbook Program
  • C Standard Library Functions
  • Arrays , Pointers , Strings
  • Using Arrays, Strings, and Pointers in the Checkbook Program
  • Structures
  • Arrays of Structures
  • Passing Structures to Functions
  • Nesting Structures
  • Command-line Arguments
  • Combining Command-line
  • Creating a project
  • Writing, compiling and running a program
  • Expressions
  • Constants
  • Operators
  • Type conversions
  • If…else statements
  • Switch/case construct
  • Passing arguments
  • Function prototyping
  • Default argument initializers
  • Inline functions
  • Array initialisation
  • Multi-dimensional arrays
  • CharLearnoVitar arrays
  • Working with charLearnoVitar strings
  • Global variables
  • Pointer and arrays
  • Pointers to charLearnoVitar strings
  • Arrays of pointers
  • Memory slicing
  • Pointers to functions
  • Data members and member functions
  • Creating objects
  • The new and delete operators
  • Friends to a class
  • Class initialisation
  • Reference type arguments
  • Operator overloading
  • Assignment operator
  • Static class members
  • File streams
  • Base classes and derived classes
  • Inherited member access
  • Base class initialisation
  • Protected members of a class
  • Virtual destructors
  • Virtual base class member access
  • Constructor and destructor ordering
  • try…throw…catch block
  • Nested catch handlers
  • What can Python do?
  • Why Python?
  • Good to know
  • Python Syntax compared to other programming languages
  • Python Install
  • The print statement
  • Comments
  • Python Data Structures & Data Types
  • String Operations in Python
  • Simple Input & Output
  • Simple Output Formatting
  • Operators in python
  • Indentation
  • The If statement and its’ related statement
  • An example with if and it’s related statement
  • The while loop
  • The for loop
  • The range statement
  • Break &Continue
  • Assert
  • Examples for looping
  • Create your own functions
  • Functions Parameters
  • Variable Arguments
  • Scope of a Function
  • Function Documentations
  • Lambda Functions& map
  • n Exercise with functions
  • Create a Module
  • Standard Modules
  • Errors
  • Exception handling with try
  • handling Multiple Exceptions
  • Writing your own Exception
  • File handling Modes
  • Reading Files
  • Writing& Appending to Files
  • Handling File Exceptions
  • The with statement
  • New Style Classes
  • Creating Classes
  • Instance Methods
  • Inheritance
  • Polymorphism
  • Exception Classes & Custom Exceptions
  • Iterators
  • Generators
  • The Functions any and all
  • With Statement
  • Data Compression
  • List Comprehensions
  • Nested List Comprehensions
  • Dictionary Comprehensions
  • Functions
  • Default Parameters
  • Variable Arguments
  • Specialized Sorts
  • namedtuple()
  • deque
  • ChainMap
  • Counter
  • OrderedDict
  • defaultdict
  • UserDict
  • UserList
  • UserString
  • Introduction
  • Components and Events
  • An Example GUI
  • The root Component
  • Adding a Button
  • Entry Widgets
  • Text Widgets
  • Check buttons
  • Introduction
  • Installation
  • DB Connection
  • Creating DB Table
  • INSERT, READ, UPDATE, DELETE operations
  • COMMIT & ROLLBACK operation
  • handling Errors
  • Introduction
  • A Daytime Server
  • Clients and Servers
  • The Client Program
  • The Server Program
  • sleep
  • Program execution time
  • more methods on date/time
  • Filter
  • Map
  • Reduce
  • Decorators
  • Frozen set
  • Collections
  • Split
  • Working with special charLearnoVitars, date, emails
  • Quantifiers
  • Match and find all
  • charLearnoVitar sequence and substitute
  • Search method
  • Class and threads
  • Multi-threading
  • Synchronization
  • Treads Life cycle
  • use cases
  • Introduction
  • Facebook Messenger
  • Openweather
  • Why do we need Python?
  • Program structure Execution steps
  • Interactive Shell
  • Executable or script files
  • User Interface or IDE
  • Object creation and deletion
  • Object properties
  • Data Types and Operations
  • Numbers
  • Strings
  • List
  • Tuple
  • Dictionary
  • Other Core Types
  • Assignments, Expressions, and prints
  • If tests and Syntax Rules
  • While and For Loops
  • Iterations and Comprehensions
  • Opening a file
  • Using Files
  • Other File tools
  • Function definition and call
  • Function Scope
  • Arguments
  • Function Objects
  • Anonymous Functions
  • Module Creations and Usage
  • Module Search Path
  • Module Vs. Script
  • Package Creation and Importing
  • Classes and instances
  • Classes method calls
  • Inheritance and Compositions
  • Static and Class Methods
  • Bound and Unbound Methods
  • Operator Overloading
  • Polymorphism
  • Default Exception Handler
  • Catching Exceptions
  • Raise an exception
  • User defined exception
  • Defining Panda
  • Pandas – Creating and Manipulating Data
  • How to Create Data Frames?
  • Importance of Grouping and Sorting
  • Plotting Data
  • 1. Advantages Of Django
  • 2. Who Uses Django
  • 3. Features Of Django
  • 4. Understanding Django Environment
  • 5. Django Installation.
  • 6. Creating Our Own Environment
  • 1. Creating A First Project.
  • 2. Creating A Simple Application
  • 3. Creating Multiple Application In A Single Project
  • 4. Creating Function-Based Views And Class-Based Views.
  • 5. Creating Templates In Django
  • 6. Working With Static Files
  • 7. Creating Html Forms And Link With Views.
  • 8. Creating Django Forms.
  • 9. Mime
  • 1. Converting The Model Into A Table.
  • 2. Examples Of Fields In Models
  • 3. Basic Data Access Operations Using Python Shell
  • 4. Inserting Records, Deleting, Updating
  • 5. Retrieving Objects From The Database.
  • 6. Creating Model Relationships
  • 1. Django Template Tags.
  • 2. If/Else
  • 3. If/Elseif/Else
  • 4. For Loop
  • 5. Comments
  • 6. Using A Template To Display Data In The Site
  • 7. Template Filters
  • What Is Flask
  • Why Use Flask?
  • Setting Up Our Development Environment
  • Locally Using our Operating System
  • Introduction to virtualenv and pip
  • Locally Using Docker
  • Using a Cloud-Based IDE
  • The Code Editor
  • Installing Flask
  • Our Initial App
  • Debugging
  • Routing
  • Using url_for
  • The GET method
  • The POST method
  • Introduction to Templates
  • The Login Template
  • The Login Function
  • Redirect After POST
  • Flash Messages
  • Better HTML
  • Template Inheritance
  • Calling Block Super
  • Introduction to Cookies
  • The Static Folder
  • Introduction to Sessions
  • Logging
  • Introduction to MySQL
  • Our First Table
  • The Requirements.txt File
  • Introduction
  • The Basic Structure
  • Setting up the ORM
  • The Author Model
  • Interacting with the ORM
  • The Base Template and Bootstrap
  • Introduction to WTForms
  • Handling Form Errors
  • Template Macros
  • The Blog Model and Form
  • Blog Admin and Setup Templates
  • Blog Creation Database
  • Author Login
  • Our First Decorator
  • Introduction to Migrations
  • More Secure Passwords
  • Checking “Is Author”
  • The Post and Category Models
  • Post Migration and Testing
  • Introduction to Markdown
  • Blog Post Form
  • Saving the Post to the Database
  • The Article View
  • List Articles View
  • Creating a Footer
  • Pagination
  • Setting up Flask-Uploads
  • Adding Images to Blog Posts
  • Displaying the Image in the Article
  • Deleting an Article
  • Editing an Article
  • If statements
  • Else and elseif statements
  • Logical operators
  • Switch statements
  • Introduction to Unit Testing
  • Create Blog Test
  • User Tests
  • What is PHP?
  • The history of PHP
  • Why choose PHP?
  • Installation overview
  • Embedding PHP code on a page
  • Outputting dynamic text
  • The operational trail
  • Inserting code comments
  • Variables
  • Strings
  • String functions
  • Numbers part one: Integers
  • Numbers part two: Floating points
  • Arrays
  • Associative arrays
  • Array functions
  • Booleans
  • NULL and empty
  • Type juggling and casting
  • Constants
  • If statements
  • Else and elseif statements
  • Logical operators
  • Switch statements
  • While loops
  • For loops
  • Foreach loops
  • Continue
  • Break
  • Understanding array pointers
  • Defining functions
  • Function arguments
  • Returning values from a function
  • Multiple return values
  • Scope and global variables
  • Setting default argument values
  • Common problems
  • Warnings and errors
  • Debugging and troubleshooting
  • Links and URLs
  • Using GET values
  • Encoding GET values
  • Encoding for HTML
  • Including and requiring files
  • Modifying headers
  • Page redirection
  • Output buffering
  • Building forms
  • Detecting form submissions
  • Single-page form processing
  • Validating form values
  • Problems with validation logic
  • Displaying validation errors
  • Custom validation functions
  • Single-page form with validations
  • Working with cookies
  • Setting cookie values
  • Reading cookie values
  • Unsetting cookie values
  • Working with sessions
  • MyMySQL introduction
  • Creating a database
  • Creating a database table
  • CRUD in MyMySQL
  • Populating a MyMySQL database
  • Relational database tables
  • Populating the relational table
  • Database APIs in PHP
  • Connecting to MyMySQL with PHP
  • Retrieving data from MyMySQL
  • Working with retrieved data
  • Creating records with PHP
  • Updating and deleting records with PHP
  • MySQL injection
  • Escaping strings for MyMySQL
  • Introducing prepared statements
  • Blueprinting the application
  • Building the CMS database
  • Establishing your work area
  • Creating and styling the first page
  • Making page assets reusable
  • Connecting the application to the database
  • Adding pages to the navigation subjects
  • Refactoring the navigation
  • Selecting pages from the navigation
  • Highlighting the current page
  • Moving the navigation to a function
  • Finding a subject in the database
  • Refactoring the page selection
  • Creating a new subject form
  • Processing form values and adding subjects
  • Passing data in the session
  • Validating form values
  • Creating an edit subject form
  • Using single-page submission
  • Deleting a subject
  • Cleaning up
  • Assignment: Pages CRUD
  • Assignment results: Pages CRUD
  • The public appearance
  • Using a context for conditional code
  • Adding a default subject behaviour
  • The public content area
  • Protecting page visibility
  • User authentication overview
  • Admin CRUD
  • Encrypting passwords
  • Salting passwords
  • Adding password encryption to CMS
  • New PHP password functions
  • Creating a login system
  • Checking for authorization
  • Creating a logout page
  • Using variable variables
  • Applying more array functions
  • Building dates and times: Epoch/Unix
  • Formatting dates and times: Strings and MySQL
  • Setting server and request variables
  • Establishing global and static variable scope
  • Making a reference assignment
  • Using references as function arguments
  • Using references as function return values
  • Introducing the concept and basics of OOP
  • Defining classes
  • Defining class methods
  • Instantiating a class
  • Referencing an instance
  • Defining class properties
  • Understanding class inheritance
  • Setting access modifiers
  • Using setters and getters
  • Working with the static modifier
  • Reviewing the scope resolution operator
  • Referencing the Parent class
  • Using constructors and destructors
  • Cloning objects
  • Comparing objects
  • File system basics
  • Understanding file permissions
  • Setting file permissions
  • PHP permissions
  • Accessing files
  • Writing to files
  • Deleting files
  • Moving the file pointer
  • Reading files
  • Examining file details
  • Working with directories
  • Viewing directory content
  • Configuring PHP for email
  • Sending email with mail()
  • Using headers
  • Reviewing SMTP
  • Using PHPMailer
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Mock Interviews

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phython Developer Training Objectives

  • Working through our information Analyst in Python course path, as an example, would get you able to apply for jobs as a knowledge Analyst. Most learners take a minimum of 3 months to complete this path. To be clear, though, you'll in all probability pay a time period learning Python.
  • The PCAP: Programming necessities in Python course (short form: Python Essentials) covers all the fundamentals of programming in Python, moreover as general creating by mental acts ideas and techniques. The course additionally familiarizes the scholar with object-oriented approach.
  • Python may be a widespread general purpose programing language used for each giant and small-scale applications. With Python, you'll be able to discover the way to bridge net development and information analytics.
  • Python may well be enough to urge employment, however most jobs need a collection of skills. For instance, you would possibly get employment to jot down Python code that connects to a MySQL information. to create an internet application, you wish Javascript, HTML, and CSS. If you wish to urge into machine learning, you wish to understand regarding mathematical modeling.
    • Python is best for beginners in terms of its easy-to-read code and straightforward syntax. in addition, Python may be a smart choice for net development (back-end), whereas C++ isn't very talked-about in net development of any kind.
    • Java could also be a additional common choice, however Python is wide used. individuals from outside the event trade have alsoused Python for varied structure functions. Similarly, Java is relatively quicker, however Python is best for prolonged programs.
    • As per Github's Octoverse, Java was the second most used language on Github followed by Python. In Stackoverflow's , Python has topped the quickest growing artificial language.
  • I like to recommend mistreatment the Python three. x version for knowledge science since the event part of Python a pair of is stopped and therefore the updates returning area unit for Python three solely. the foremost common and up to date frameworks and libraries like Tensorflow supported in Python three.
    • Python could be a general committal to writing language—which implies that, not like hypertext mark-up language, CSS, and JavaScript, it may be used for alternative forms of programming and computer code development besides net development. that hasrear development, computer code development, information science and orthography scripts among alternative things.
    • Python is easy to learn. Its syntax is easy and code is very readable. Python has a lot of applications. It's used for developing web applications, data science, rapid application development,and so on.
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    • Complete 85% of the Android App Developer Certification course
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    Honestly Yes, We Provide 1 Set of Practice test as part of Your Android App Developer Training course. It helps you to prepare for the actual Android App Developer Certification exam. You can try this free Android App Developer Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
    These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s Android App Developer Certification Path.
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    Learning Android App Developer can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in Android App Developer. Mastering Android App Developer can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
    The Average Android App Developer Developer salary in India is ₹4,43,568 per annum.
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