MEAN STACK

MEAN STACK

Overview

MEAN Stack is a collection of JavaScript-based technologies for web development. MEAN stack technologies includes MongoDB, ExpressJS, AngularJs, and NodeJS. Mean is the congregation of JavaScript-based technologies that enable web applications to run faster.

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Description

MEAN Stack is a collection of JavaScript-based technologies for web development. MEAN stack technologies includes MongoDB, ExpressJS, AngularJs, and NodeJS. Mean is the congregation of JavaScript-based technologies that enable web applications to run faster. MEAN Stack is a complete range of software for web development. A Mean Stack developer has to develop from the client to the server to the database. Techmindz is blessed with a pool of Technical experts and mentors where all candidates can get their skills sharpened and secure your career. We assure all those candidates who approach us for Mean Stack training and MEAN stack internship a successful future.

Why use MEAN stack in projects?

MEAN is one of the most widely used programming languages in the world since 1991 and is a user-friendly JavaScript framework. It is a challenging and highly desirable vocation to become a Mean Stack Developer.

Who can learn MEAN Stack?

A Graduate or professional who has a basic idea in the programming world can enroll for the MEAN Stack program and further to the MEAN Stack Internship because MEAN Stack is made up of technologies that use JavaScript. It would help if you also were comfortable writing markup in HTML, style sheets in CSS, basic JavaScript and jQuery. A candidate who had completed his bachelor’s degree should search for mean stack training near and need to enroll for the master program. The candidate should be keen on why learn mean Stack and from where to learn mean Stack. We Techmindz is one of the best centre in cochin, providing mean stack full course and mean stack online course.

Future of Mean stack Developer

Please don’t be surprised that JavaScript is also one of the most in-demand programming languages in the US. More than a fact, this is a trend that needs to be observed. Such tech giants are always the ones that heavily invest in R&D for future trends and are looking to monopolize the trend initially. This has called for other companies to continuously look for new avenues to expand their business and reach. MEAN Stack is worth learning. The MEAN stack is perfect for building all kinds of applications, from dynamic single-page applications to complex enterprise and social media apps.

How much a MEAN developer earns?

The average salary for a mean stack developer in the United States ranges from approximately $90,148 per year. In India, it is roughly around Rs. 5.3 – 6.4 LPA. Freshers who are having 0-2 years of experience can earn a starting salary of Rs 3.7 – 5 LPA.
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  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
  • Differences between Python 2 and Python 3
  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
  • Python Indentation
  • Document and Comments Interlude in Python
  • Command-line arguments
  • Getting to know User Input
  • Python Basic Data Types
  • What are the variables?
  • Introduction
  • Lists in Python
  • Knowing more about Lists
  • Understanding the Iterators
  • Generators and Comprehensions 
  • Lambda Expressions
  • Understanding and using the Ranges
  •  
  • Knowing about the section in Python
  • Python Dictionaries
  • Understanding more Dictionaries
  • Sets
  • Python Sets Examples
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Django Course Syllabus:

  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
  • Field Types
  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
  • Class-based views
  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
  • Built-in filters
  • Humanization
  • Custom tags 
  • Custom filters
  • csrf token
  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
  • Types of vectors
  • Internationalization
  • Localization
  • Localizing UI
  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
  • Serialization
  • Message framework
  • Sessions
  • Site maps
  • Signals
  • Static file management
  • Introduction to bootstrap framework
  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site
  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
  • Differences between Python 2 and Python 3
  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
  • Python Indentation
  • Document and Comments Interlude in Python
  • Command-line arguments
  • Getting to know User Input
  • Python Basic Data Types
  • What are the variables?
  • Introduction
  • Lists in Python
  • Knowing more about Lists
  • Understanding the Iterators
  • Generators and Comprehensions 
  • Lambda Expressions
  • Understanding and using the Ranges
  •  
  • Knowing about the section in Python
  • Python Dictionaries
  • Understanding more Dictionaries
  • Sets
  • Python Sets Examples
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Django Course Syllabus:

  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
  • Field Types
  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
  • Class-based views
  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
  • Built-in filters
  • Humanization
  • Custom tags 
  • Custom filters
  • csrf token
  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
  • Types of vectors
  • Internationalization
  • Localization
  • Localizing UI
  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
  • Serialization
  • Message framework
  • Sessions
  • Site maps
  • Signals
  • Static file management
  • Introduction to bootstrap framework
  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site
  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
  • Differences between Python 2 and Python 3
  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
  • Python Indentation
  • Document and Comments Interlude in Python
  • Command-line arguments
  • Getting to know User Input
  • Python Basic Data Types
  • What are the variables?
  • Introduction
  • Lists in Python
  • Knowing more about Lists
  • Understanding the Iterators
  • Generators and Comprehensions 
  • Lambda Expressions
  • Understanding and using the Ranges
  •  
  • Knowing about the section in Python
  • Python Dictionaries
  • Understanding more Dictionaries
  • Sets
  • Python Sets Examples
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Django Course Syllabus:

  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
  • Field Types
  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
  • Class-based views
  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
  • Built-in filters
  • Humanization
  • Custom tags 
  • Custom filters
  • csrf token
  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
  • Types of vectors
  • Internationalization
  • Localization
  • Localizing UI
  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
  • Serialization
  • Message framework
  • Sessions
  • Site maps
  • Signals
  • Static file management
  • Introduction to bootstrap framework
  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site

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