Upto 85% SCHOLARSHIP for all Computer Courses
FULL STACK DEVLEOPER - PYTHON Duration : 3 Month
CORE PYTHON & ADVANCED PYTHON
MODULE 1 : CORE PYTHON
Introduction to Programming Languages - Introduction to Python - Working with Python Software- Python Language Fundamentals - Different Modes of working with Python - Basic I/O operations in Python - Operators and Expressions in Python - Data Types in Python - Flow Control Statements (or) Control Structures - String Handling Operations - Bytes, ByteArray and Range Data Types - List Data Structure and Operations - Tuple Data Structure and Operations - Set and Frozenset Data Structures or Collection - Dictionary Data Structures or collection - Comprehensions (List/Dictionary/Set) - NoneType Category - Functions in Python - Modules in Python - Packages in python- Exception Handling in Python - Regular Expressions (Re Module) - File or Stream Handling - Collections module for building applications
MODULE 2 : ADVANCED PYTHON
Object Oriented Programming Principles - OS Module - Multi Threading - Python Logging - Date and Time module - Garbage Collection - Python Data Base Communications (PDBC) - Network / Socket Programming (socket module) - Tkinter and Turtle
NUMPY, PANDAS & MATPLOTLIB
MODULE 3 : NUMPY
Basic Introduction to the Numpy - Creation of Numpy Arrays - Array attributes & Numpy Data Types - View vs Copy - Indexing, Slicing and Advanced Indexing - How to Iterate Elements of the ndarray. - Arithmetic Operators - Broadcasting - Array Manipulation Functions - Joining Of Multiple Arrays Into a Single Array - Splitting of Arrays - Sorting Elements of ndarrays - Searching elemenets of ndarray - How to insert elements into ndarray? - How to delete elements from ndarray - Matric multiplication by using dot() function - Importance of matrix class in numpy library - Linear algebra functions from linalg module - I/0 operations with Numpy - Basic statistics with Numpy - Numpy mathematical functions - How to find unique items and count
MODULE 4 : PANDAS
Introduction - Environment Setup - Introduction to Data Structures - Series - DataFrame - Panel - Basic Functionality - Descriptive Statistics - Function Application - Reindexing - Iteration - Sorting - Working with Text Data - Options and Customization - Indexing and Selecting Data - Statistical Functions - Window Functions - Aggregations - Missing Data - GroupBy - Merging/Joining - Concatenation - Date Functionality - Timedelta - Categorical Data - Visualization - IO Tools - Sparse Data - Caveats & Gotchas - Comparison with SQL
MODULE 5 : MATPLOTLIB
Introduction to Matplotlib - Line Plot- Basics - Line Plots-Advanced - How to add grid lines to plot - Adding Legend - Customization of Tick Location and Labels - How to set limit range of values on x-axis and y-axis by using xlim() and ylim() functions - How to set scale of x-axis and y-axis? - Plotting Styles - Functional/Procedural Oriented Vs Object Oriented Approached of plotting - Bar Chart / Bar Graph / Bar Plot - Pie Chart - Histogram - Scatter Plots - Subplots - Plotting Geographic Data with Basemap - Three-Dimensional(3-D) Plotting in Matplotlib - Animations
HTML, DHTML, CSS
MODULE 6 : HTML
Web Introduction - Introduction to HTML - Introduction to HTML Structure - Presentational & Formatting Tags - Title and Html entities - Attributes -HTML Images & Anchor Tag - Working with Lists - Working with Div tag - HTML Tables - HTML Forms - HTML Form Controls - Additional from controls -HTML5 New Semantic / Structural Elements
MODULE 7 : CSS
Introduction to CSS - CSS Selectors - CSS Box model - Styling Elements - Advanced Cascading Style Sheets
MODULE 8 : JAVA SCRIPT
Introduction JavaScript - JavaScript implementations- Java Script Variables & datatypes - JavaScript Operators - Java Script Control Controls - Arrays - Functions -Functional Expressions - Arrow Functions - JavaScript Strings - Working with JS Objects - JS Constructors - DOM-Document object - DOM-Element object - DOM-- Event Handling - BOM-Window object - Javascript validations and Regular Expressions
DJANGO WITH API
MODULE 9 : DJANGO
Introduction to Django - Django & Atom Installation and Development of First Web Application - Templates and Static Files - Views and URLs - Models and Databases - Forms and Validation - Advanced Template Features - Session Management - User Authentication and Authorization - Class Based Views and CRUD Operations by using both CBVs and FBVs - Django ORM - Working with Advanced Model Concepts -Django Rest Framework - Testing and Debugging - Caching and Performance Optimization - Django Forms Advanced Topics - Django Security - Django Signals and Asynchronous Tasks - Django Deployment and Production - WebSockets and Real-Time Communication - Project Development and Refinement
MODULE 10 : DATABASE
My SQL DB - Mango DB
MODULE 11 : PROJECT
