Full Stack Python

Python

Full Stack

Python is a versatile all-purpose high-level language which is used for scientific data and other structured as well as unstructured data.

Python is a versatile all-purpose high-level language which is used for scientific data and other structured as well as unstructured data. A full-stack Python developer has expertise in using the Python suite of languages for all the applications.
Python is one language that permits our computer systems to execute software and communicate with each other. Python code interacts with code which is written in other languages such as C and JavaScript to provide an entire web stack.
  • Module 1- C, C++, SQL, DS
  • Module 2- Python
  • Module 3- Aptitude + Soft Skills + Live Project
Full Stack Python
Timeline and Prerequisite
7 Months
Course Duration
Full Stack Python
Curriculum
  • Module 1

    Subject: C

    • Fundamentals of Programming
    • Exploring C
    • Data Types
    • Managing Input and Output
    • Operators
    • Control Statement
    • Decision making and Looping
    • Problems on Numbers
    • Problems on Pattern Printing
    • Problems on Digits
    • Function
    • Storage Class
    • Array
    • String
    • Structure and Union
    • Pointer
    • Dynamic Memory Allocation
    • File Handling
  • Subject: C++
    • Basics of C++
    • Introduction of C++
    • Character Set,token
    • Variable rules, Data Types
    • ControlStatement in C++
    • Looping in C++
    • Input and Output
    • Function in C++
    • Array in C++
    • String and their Functions
    • Structure and Union
    • Pointer in C++
    • Class in C++
    • Constructor and Destructor
    • Inheritance
    • Polymorphism
    • File Handling in C++
    • Exception Handling in C++
    • Template
  • Subject: Data Structure
    • Overview of Data structures
    • Linear and non-linear data structures
    • Link List
    • Singly Link List
    • Doubly Link List
    • Singly Circular Link List
    • Doubly Circular Link List
    • Stack
    • Queue
    • Tree
    • Sorting Techniques
  • Subject: SQL
    • Introduction to SQL
    • Normalization
    • Introduction to Databases and RDMBS
    • Install a Database Engine
    • SQL Data Types
    • SQL Operators
    • SQL Commands
    • Data Definition Language
    • Data Manipulation Language
    • Data Control Language
    • Data Transaction Control Language
    • Data Query Language (SELECT Statement With CLAUSES)
    • SQL Functions
    • Sub Queries
    • SQL Joins
  • Module 2

    Python

    • Overview
    • Environment Setup
    • Basic Operators in Python
    • Basic Concepts
    • Loops and Decision Making
    • Functions
    • Global vs. Local variables
    • Built-in module and functions
    • Math module and functions
    • Random module and functions
    • Python Modules and Packages
    • Basic OOPs Concept
    • Decorator, Iterator and Generator Anonymous Function
    • File Manipulation
    • Python GUI
    • SQL and Python
    • Project Demonstration Tkinter
    • Other Concepts
    • Advanced Concept – Overviews
    • Basics of Pandas and Numpy
    • How to use Anaconda
    • How to create dashboard
    • Overview of Django
  • Module 3
    • Aptitude
    • Quantitative Aptitude
    • Reasoning
  • Soft Skills
    • Resume-building
    • Interview preparation workshop
    • Career mentoring
    • Mock interviews
  • Project