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Description

About Full Stack Python Training at Edukators Coimbatore

Full Stack Python Training course at Edukators offers an immersive and comprehensive exploration of web development, placing a strong emphasis on leveraging the versatility of the Python programming language. As students progress through the program, they gain insights into both front-end and back-end development, honing their skills through in-depth study of key frameworks such as Django and Flask. The full-stack Python training curriculum spans the entire spectrum of web development, guiding students through client-side technologies like HTML, CSS, and JavaScript, while also delving into essential server-side scripting, database integration, and deployment strategies. Moreover, practical, hands-on projects are seamlessly integrated into the coursework. By completing the Python full stack developer course, students acquire the skills needed to create dynamic, scalable, and secure web applications using Python across all layers of the stack.

Know about our Full Stack Python Trainer

Full Stack Python trainers are seasoned professionals with a wealth of experience in the intricacies of both front-end and back-end development using Python. These Python full-stack development trainers often have a robust portfolio of real-world projects and applications, showcasing their practical expertise in building scalable and efficient web solutions. This practical approach ensures that students not only grasp theoretical concepts but also gain the problem-solving skills necessary for actual development environments. Full Stack Python trainers emphasize industry best practices, coding standards, and collaborative methodologies, preparing participants for the dynamic and collaborative nature of software development teams.

Edukators upcoming batch schedule for full stack python training

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04-12-2023  |  Weekdays Batch - Mon (Mon - Fri)  |  08:00 AM (IST) (Class 1Hr) / Per Session
11-12-2023  |  Weekdays Batch - Wed (Mon - Fri)  |  08:00 AM (IST) (Class 1Hr) / Per Session
16-12-2023  |  Weekends Batch - Sat & Sun  |  09:00 AM (IST) (Sat - 2Hr & Sun - 3Hr) / Per Session
16-12-2023  |  Weekends Batch - Sat & Sun  |  09:00 AM (IST) (Sat - 2Hr & Sun - 3Hr) / Per Session

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Benefits of taking course with us!

Enrolling in a Full Stack Python Training course provides a comprehensive skill set, covering both front-end and back-end development. The course offers hands-on experience through real-world projects, mentorship from experienced trainers, and networking opportunities. Graduates are equipped with the versatility to excel in various web development roles, and the curriculum, tailored to industry standards, ensures they learn the latest technologies and best practices. The practical focus, combined with access to valuable resources, enhances employability and prepares individuals for successful careers in full-stack development with python.

Course Details

  • What is Script?
  • What is a program?
  • Types of Scripts
  • Difference between Script & Programming Languages
  • Features of Scripting
  • Limitation of Scripting
  • Types of programming Language Paradigms
  • Python Overview
  • History of Python & Python Versions
  • Python Features
  • Types of python - CPython, jPython, PyPy
  • Area of application of python
  • Why do we need python?
  • How python script works
  • Python 2.7 and Python 3 difference
  • What is PSF?
  • What is pip? and how to use?
  • What is IDE?
  • Environment setup - Installation of Python
  • Writing first script in python
  • Interactive and Script Mode programming
  • Compiler and interpreter difference
  • How to make executable python file?
  • What is syntax?
  • What is variable?
  • What is identifiers?
  • What is identifiers?
  • What is keywords?
  • What is comment and its types?
  • Usage of Quatations
  • How to use help and dir functions?
  • Static typing and dynamic typing
  • What is data type?
  • String
  • Integers
  • List
  • Tuple
  • Dictionary
  • Set & Frozen set
  • Boolean data type
  • Built in function of data types
  • Mutable and immutable
  • Arithmetic operators
  • Comparison operators
  • Assignment Operators
  • Logical Operators
  • Bitwise Operators
  • Membership Operators
  • Identity Operators
  • Arithmetic Operators
  • Ternary operator & nested ternary operator
  • Grouping Statements: Indentation and Blocks
  • If statement
  • if else statement
  • elif statement
  • nested if, if else, elif statement
  • one line if statement
  • pass keyword
  • for loop with else
  • while loop with else
  • continue and break
  • range and xrange difference
  • list, tuple, dict comprehension
  • Built in function
  • User defined function
  • Nested function
  • Recursive function
  • *args and **kwargs function
  • Global and nonlocal keywords usage
  • Lambda function
  • Reduce, map, filter functions
  • Python closure
  • Decorators
  • Chaining Decorators
  • Python Generators
  • File handling in python
  • Type of modes in file
  • Example for writing a file
  • Example for reading a file
  • Example for reading and writing a image file
  • What is exception?
  • Try and Except Statement - Catching Exceptions
  • Python Exceptions List
  • Assertions in Python
  • Try with Else Clause
  • Finally Keyword in Python
  • User-Defined Exceptions
  • Handling multiple exception
  • What is Modular Programming?
  • What are Modules in Python?
  • How to Import Modules in Python?
  • Python import Statement
  • Importing and also Renaming
  • Python from...import Statement
  • Locating Path of Modules
  • Namespaces and Scoping
  • Basic module writing example
  • OOPs and Principles of object-oriented programming
  • Object-oriented vs Procedure-oriented Programming languages
  • Class
  • Method
  • Attributes types
  • Object
  • Parameter and Attributes difference
  • Inheritance
  • Polymorphism
  • Encapsulation
  • Abstraction
  • Composition
  • Python Memory Allocation - static and dynamic
  • Default Python Implementation
  • Python Garbage Collector
  • Python Objects in Memory
  • Reference Counting in Python
  • Transforming the Garbage Collector
  • Importance of Performing Manual Garbage Collection
  • C Python Memory Management
  • Common Ways to Reduce the Space Complexity
  • What is Multi-Threading?
  • Threading Module
  • Defining a Thread
  • Thread Synchronization
  • What is Database? Types of Databases?
  • What is DBMS?
  • What is RDBMS?
  • Environment setup - Mongo installation
  • Mongo shell - CRUD operations
  • Installing mongo driver
  • Making connection with python
  • What is framework?
  • What is flask?
  • What is REST API?
  • Installing driver
  • Routing
  • URL
  • HTTP methods
  • Template
  • Static files
  • Form data to templates
  • Project in Framework
  • Requests in python
  • urllib in python
  • NumPy Creating Arrays
  • NumPy Array Indexing
  • NumPy Array Slicing
  • NumPy Data Types
  • NumPy Copy vs View
  • NumPy Array Shape
  • NumPy Array Reshape
  • NumPy Array Iterating
  • NumPy Array Join
  • NumPy Array Split
  • NumPy Array Search
  • NumPy Array Sort
  • NumPy Array Filter
  • Python Network Services
  • What are Sockets?
  • Socket Term or Vocabulary
  • Socket Programming
  • Socket Server Methods
  • Socket Client Methods
  • Socket General Methods
  • Hands-on Network programming using python
  • Hands-on python client script (send messages)
  • Working with TCP Sockets
  • Working with UDP Sockets
  • Blocking and Non-Blocking Socket I/O
  • what is pandas
  • why we need pandas
  • What is a Series?
  • whats is Labels
  • Know how to Create Labels
  • Key/Value Objects as Series
  • What is a DataFrame?
  • Locating Rows
  • Know about Named Indexes and locate named index
  • Load Files Into a DataFrame
  • Read CSV Files
  • Read JSON
  • Analyzing DataFrames
  • How to do GUI Programming?
  • Know about diiferent modules for GUI programming
  • What is a Series?
  • Tkinter Widgets
  • Tkinter Geometry
  • Tkinter pack() method
  • Tkinter grid() method
  • Tkinter place() method
  • Tkinter Button
  • Tkinter Canvas
  • Tkinter Checkbutton
  • Tkinter Entry
  • Tkinter Frame
  • Tkinter Label
  • Tkinter Menu
  • Tkinter Menu Button
  • Tkinter List Box
  • What is HTML?
  • Difference between Web and Internet
  • History of HTML
  • What is W3C?
  • Difference HTML vs HTML 5
  • IDE setup
  • How to write and run HTML file?
  • HTML Skeleton in detail
  • What is DOM ?
  • DOM levels
  • HTML Style Guide
  • Block and Inline Elements
  • Semantic Elements
  • HTML Elements
  • HTML Attributes
  • HTML Colors
  • HTML Headings
  • HTML Style
  • HTML Paragraph
  • HTML Formatting
  • HTML Images
  • HTML ID
  • HTML CSS
  • HTML Links
  • HTML Class
  • HTML Lists
  • HTML Tables
  • HTML JavaScript
  • HTML Quotation and Citation Elements
  • HTML Iframes
  • HTML File Paths
  • HTML Computer Code Elements
  • HTML Versus XHTML
  • HTML URL
  • HTML Layout
  • HTML Layout Techniques
  • Superscript and Subscript
  • Horizontal line
  • Marked or highlighted text
  • Deleted (cross-through) text
  • HTML Forms Introduction
  • HTML Form Attributes
  • HTML Form Elements
  • HTML Input Types
  • HTML Input Attributes
  • HTML Input Form Attributes
  • HTML Buttons
  • HTML Geolocation API
  • HTML Drag and Drop API
  • HTML Web Workers API
  • HTML SSE API
  • HTML Media
  • HTML Video
  • HTML Audio
  • HTML Plug-ins
  • HTML YouTube
  • HTML Canvas
  • HTML SVG
  • What is Web Storage?
  • Cookies
  • The localStorage Object
  • The sessionStorage Object
  • Delete Web Storage
  • What is CSS?
  • CSS Syntax
  • Adding CSS and Its types
  • CSS Selectors
  • CSS Box Models
  • CSS Specificity
  • Block Level Elements
  • Inline Level Elements
  • What is CSS Units and its types?
  • Absolute Lengths
  • Relative Lengths
  • What is CSS Specificity?
  • Specificity Hierarchy
  • How to Calculate Specificity?
  • What is CSS Positions?
  • Static, Relative, Fixed
  • Absolute, Sticky
  • CSS Padding
  • CSS Margins
  • CSS Shadows
  • CSS Colors
  • CSS Z- index
  • CSS Images
  • CSS Boarders
  • CSS Masking
  • CSS Comments
  • CSS The Important Rule
  • Flex Container and its properties
  • Flex Items and its properties
  • Flex Responsive and its properties
  • Grid Layout and its properties
  • Grid Container and its properties
  • Grid Item and its properties
  • Designing a webpage using grids
  • Introduction to Javascript
  • Setting up local environment
  • Installing Node JS
  • Different ways of using or adding JS in web development
  • JavaScript Display Possibilities
  • History of JS
  • What is ECMA?
  • JS String Literals
  • What is Variable
  • Identifiers and rules
  • JS Comments
  • JS Let
  • JS Const
  • JS Var
  • Difference of Let, Const, Var
  • Arithmetic Operators
  • Assignment Operators
  • Comparison Operators
  • String Operators
  • Logical Operators
  • Bitwise Operators
  • Ternary Operators
  • Type Operators
  • Operator Precedence
  • String
  • Number
  • Bigint
  • Boolean
  • Undefined
  • Null
  • Symbol
  • Object
  • An object
  • An array
  • An date
  • If else
  • Switch Statement
  • For Loop
  • For In
  • For Of
  • While Loop
  • break, continue
  • User defined function
  • Arrow Function
  • this Keyword in detail
  • call, apply, bind
  • Arrow Function with this keyword
  • passing this keyword
  • Strict Mode in JS
  • Closure Function
  • What is Error /Exception Handling?
  • Try, Catch
  • Throw custom error
  • Raising errors based on error type
  • Finally
  • OOPS and its principles
  • Class structure
  • Inheritance
  • Encapsulation
  • Abstraction
  • Polymorphism
  • Object Composition
  • Static Method
  • JS Callback with example
  • Understanding Asynchronous JavaScript
  • JS Promises
  • JS Async / Await with example
  • DOM Documents with example /li>
  • DOM Node with example
  • DOM Events with example
  • DOM Event Listeners with example
  • DOM Forms with example
  • Whats is WebAPI Intro?
  • Workers API
  • Forms API
  • Storage API
  • What is REST ?
  • Live API working check
  • More about API - Status code, Headers, Payloads and more
  • What Is jQuery?
  • Benefits of Using a JavaScript Library
  • jQuery Structure and its Example
  • Using Bind
  • Using selectors Tag, id, class
  • CSS Property Update
  • Updating multiple css properties
  • Example to get the dimension of a box
  • CSS Chaining
  • What is DOM Manipulation?
  • attr(), html(), text() and val() with examples
  • DOM Manipulation - Add in detail
  • Functions - append, appendTo, after, insertAfter
  • Functions - prepend, prependTo, before, insertBefore
  • DOM Manipulation - Remove Intro
  • Functions - remove(), empty()
  • DOM Manipulation - Replace
  • Function - replaceWith()
  • Get and Set examples - html, text, val, attr
  • What is DOM traversing? and know about its functions
  • Functions - sibling, next, nextall, nextUntil
  • Functions - prev, prevAll, preUntil
  • what is Filtering and its functions?
  • Function - first, last, eq, not, filter
  • Traversing Ancestors with its functions
  • Functions - parent, parents, parentsUntil
  • Traversing Descendants and its function
  • Functions - children, find
  • What is Effects, Hide and show functions?

Requirements

1Full Stack Python Training courses are often designed for beginners, so no previous coding experience is usually required. However, a willingness to learn and engage with programming concepts is important.
2Depending on the course, participants may need to install specific software and development tools. Instructions for installations are typically provided by the course.
3An inquisitive mindset and the ability to solve problems are valuable traits for individuals entering the field of full-stack development.
4Full Stack Python training development can be challenging, so a strong motivation to learn and dedication to completing assignments and coursework is crucial.

Job Opportunity in learning Full Stack Python

Full Stack Python developers are in high demand, and there are numerous job opportunities available across various industries. Here are some common job roles and opportunities specifically tailored for Full Stack Python professionals:

  1. Full Stack Python Developer
  2. Python Web Developer
  3. Full Stack Engineer
  4. Python Software Engineer
  5. Python Web Application Developer
  6. Python Stack Architect
  7. Django Developer
  8. Flask Developer
  9. DevOps Engineer with Python
  10. Educator / Trainer

FAQ's about Full stack Python at Edukators in Coimbatore

The course covers a range of technologies, including HTML, CSS, JavaScript, and popular Python frameworks like Django or Flask for back-end development.

Basic computer skills are recommended, but there are typically no strict prerequisites. The course is designed for beginners.

Yes, upon successful completion, students usually receive a certificate, which can be valuable for showcasing skills to potential employers.

The course provides a well-rounded skill set covering both front-end and back-end development, along with practical experience through projects, preparing you for real-world development roles.

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