FULL STACK PYTHON

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A full-stack Python developer knows how to use the Python programming language suite for all types of projects. Python is a general-purpose high-level programming language that may be used to handle both structured and unstructured data.

At vcube software solutions Pvt. Ltd in Kukatpally, Hyderabad, you may learn full-stack Python programming and participate in real-world projects.

Duration: 4months

Key Highlights

 100+ hours of learning

 Real-time industry professionals curate the course.

Internships and live projects

Dedicated staff of placement experts

Placement is guaranteed 100 percent Assistance

28+ Skills That Are Useful in the Workplace

Trainers with a minimum of 12 years of experience

Videos and back-up classes

Subject Matter Experts Deliver Guest Lectures

CONTACT US

Description for the Full Stack Python

*Why full stack python is so popular

The Python and Django Full Stack Web Developer V Cube is now open! We’ll cover all you need to know about building a website with Python, Django, and other web technologies in this course.

We can assist you with full-stack development. Python developers are experts in using the  Python programming language suite for all classroom and online training applications.

We deliver Seminars, Webinars, Workshops, and Certificate courses based on the requirement. V cube software solutions has tailor developed Industry relevant courses for Students to pursue and excel along with their Academics.

The Python programming language is open source and makes addressing a computer problem virtually as simple as putting down your ideas. Without changing the software, the code can be created once and run on practically every computer.

Curriculum for the Full stack python

  • Limitations of Python
  • Python implementations
  • Python applications
  • Python versions
  • PYTHON IN REALTIME INDUSTRY
  • Difference between Python 2.x and 3.x
  • Difference between Python 3.7 and 3.8
  • Software Development Architectures
  • Types of languages
  • Introduction to Translators
    • Compiler
    • Interpreter
  • What is Scripting Language?
  • Types of Script
  • Programming Languages v/s Scripting Languages
  • Difference between Scripting and Programming languages
  • What is programming paradigm?
  • Procedural programming paradigm
  • Object Oriented Programming paradigm
  • Python Distributions
  • Download &Python Installation Process in Windows, Unix, Linux and Mac
  • Online Python IDLE
  • Python Real-time IDEs like Spyder, Jupyter Note Book, 
  • PyCharm, Rodeo, Visual Studio Code, ATOM, PyDevetc
  • Python Implementation Alternatives/Flavors
  • Keywords
  • Identifiers
  • Constants / Literals
  • Data types
  • Python VS JAVA
  • Python Syntax
  • Interactive Mode
  • Scripting Mode
  • Programming Elements
  • Structure of Python program
  • First Python Application
  • Comments in Python
  • Python file extensions
  • Setting Path in Windows
  • Edit and Run python program without IDE
  • Edit and Run python program using IDEs
  • INSIDE PYTHON
  • Programmers View of Interpreter
  • Inside INTERPRETER
  • What is Byte Code in PYTHON?
  • Python Debugger
  • bytes Data Type
  • byte array
  • String Formatting in Python
  • Math, Random, Secrets Modules
  • Introduction
  • Initialization of variables
  • Local variables
  • Global variables
  • ‘global’ keyword
  • Input and Output operations
  • Data conversion functions – int(), float(), complex(), str(), chr(), ord()

Oops concepts

  • Class
  • Object
  • Inheritance
  • Polymorphism

Constructor

Destructor

Data hiding

Operator Overloading

Method Overriding

Exception handling

  • Setup Webserver and database
  • Getting started with Django
  • Create an application
  • Admin interfac
  • Views layer
  • URL mappin
  • Django Template Language(DTL)
  • Models
  • Form processing
  • Cookies handling
  • Django Admin

 

  • Arithmetic Operators
  • Comparison Operators
  • Python Assignment Operators
  • Logical Operators
  • Bitwise Operators
  • Shift operators
  • Membership Operators
  • Identity Operators
  • Ternary Operator
  • Operator precedence
  • Difference between “is” vs “==”
  • Importance of Data structures
  • Applications of Data structures
  • Types of Collections
  • Sequence
  • Strings, List, Tuple, range
  • Non sequence
  • Set, Frozen set, Dictionary
  • Strings
  • What is string
  • Representation of Strings
  • Processing elements using indexing
  • Processing elements using Iterators
  • Manipulation of String using Indexing and Slicing
  • String operators
  • Methods of String object
  • String Formatting
  • String functions
  • String Immutability
  • Case studies
  • Advantages of functions
  • Syntax and Writing function
  • Calling or Invoking function
  • Classification of Functions
    • No arguments and No return values
    • With arguments and No return values
    • With arguments and With return values
    • No arguments and With return values
    • Recursion
  • Python argument type functions :
    • Default argument functions
    • Required(Positional) arguments function
    • Keyword arguments function
    • Variable arguments functions
  • ‘pass’ keyword in functions
  • Lambda functions/Anonymous functions
  • Understanding regular expressions
  • String v/s Regular expression string
  • “re” module functions
  • Match()
  • Search()
  • Split()
  • Findall()
  • Compile()
  • Sub()
  • Subn()
  • Expressions using operators and symbols
  • Simple character matches
  • Special characters
  • Character classes
  • Mobile number extraction
  • Mail extraction
  • Different Mail ID patterns
  • Data extraction
  • Password extraction
  • URL extraction
  • Vehicle number extraction
  • Case study
  • Logging Levels
  • implement Logging
  • Configure Log File in over writing Mode
  • Timestamp in the Log Messages
  • Python Program Exceptions to the Log File
  • Requirement of Our Own Customized Logger
  • Features of Customized Logger

 

 

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