Python FullStack Training In Hyderabad

Aim Technologies is one of the Leading Python FullStack Training institute in Hyderabad, offers 100% placement-oriented with real-world projects, we are one of the best Training Institute in Hyderabad that provides Industry Level Training with Real Time Projects.

Advantages:

Custom Visualizations
Easy Learning
Excel Integration
Data Connectivity
Secure Report Publishing
Rich, personalized dashboard
Affordability
Accessibility To Multiple Data Sources

Python Course Curriculum

Module 1 : Python Basics

What is Python
Why Python?
History of python
Applications of Python
Features of Python
Advantages of Python
Versions of Python
Installation of Python
Flavors of Python
Comparision b/w various programming languages C, Java and Python

Module 2: Python Operations

Python Modes of Execution
Interactive mode of Execution
Batch mode of Execution
Python Editors and IDEs
Python Data Types
Python Constants
Python Variables
Comments in python
Output Print(),function
Input() Function :Accepting input
Type Conversion
Type(),Id() Functions
Comments in Python
Escape Sequences in Python
Strings in Python
String indices and slicing

Module 3: Operators in Python

Arithmetic Operators
Comparision Operators
Logical Operators
Assignment Operators
Short Hand Assignment Operators
Bitwise Operators
Membership Operators
Identity Operators

Module 4: Python IDE

Pycharm IDE Installation
Working with Pycharm
Pycharm components
Installing Anaconda
What is Conda?
Anaconda Prompt
Anaconda Navigator
Jupyter Notebook
upyter Features
Spyder IDE
Spyder Featueres
Conda and PIP

Module 5: Flow Control statements

Block/clause
Indentation in Python
Conditional Statements
if stmt
if…else statement
if…elif…statemen

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Module 6: Looping Statements

while loop,
while … else,
for loop
Range() in for loop
Nested for loop
Break statememt
Continue statement
Pass statement

Module 7: Strings in Python

Creating Strings
String indexing
String slicing
String Concatenation
String Comparision
String splitting and joining
Finding Sub Strings
String Case Change
Split strings
String methods

Module 8: Collections in Python

Introduction
Lists
Tuples
Sets
Dictionaries
Functions for collections
Methods of collection
Nested collections
Differences b/w list tuple and set and Dictionary

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Module 9: Python Lists

List properties
List Creation
List indexing and slicing
List Operations
Nested Lists
List modification
List insertion and deletion
List Methods

Module 10: Python Tuples

Tuple properties
Tuple Creation
Tuple indexing and slicing
Tuple Operations
Nested Tuples
Tuple Methods
Differences b/w List and Tuple

Module 11: Python Sets

Set properties
Set Creation
Set Operations
Set Mathematical Operations
Set Methods
Insertion and Deletion operation

Module 12: Python Dictionary

Dictionary properties
Dictionary Creation
Dictionary Operations
Dictionary Methods
Insertion and Deletion of elements
Differences b/w list tuple and set and Dictionary

Module 13: Functions in Python

Defining a function
Calling a function
Properties of Function
Examples of Functions
Categories of Functions
Argument types
default arguments
non-default arguments
keyword arguments
non keyword arguments
Variable Length Arguments
Variables scope
Call by value and Call by Reference
Passing collections to function
Local and Global variables
Recursive Function
Boolean Function
Passing functions to function
Anonymous or Lamda function
Filter() and map() functions

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Module 15: Packages

Introduction to packages
Defining packages
Importing from packages
–init–.py file
Defining sub packages
Importing from sub packages

Module 16: Errors and Exception Handling

Types of errors
Compile-Time Errors
Run-Time Errors
What is Exception?
Need of Exception handling
Predefined Exceptions
Try,Except, finally blocks
Nested blocks
Handling Multiple Exceptions
User defined Exceptions
Raise statement

Module 17: File Handling

Introduction
Types of Files in Python
Opening a file
Closing a file
Writing data to files
Tell( ) and seek( ) methods
Reading a data from files
Appending data to files
With open stmt
Various functions

Module 18: OOPs concepts

OOPS Features
Encapsulation
Abstraction
Class
Object
Static and non static variables
Defining methods
Diff b/w functions & methods
Constructors
Parameterized Constructors
Built –in attributes
Object Reference count
Destructor
Garbage Collection
Inheritance
Types of Inheritances
Polymorphism
Over riding
Super() statement

Module 19: Regular Expressions

What is regular expression? Special characters
Forming regular expression
Compiling regular expressions
Grouping
Match() function
Search() function
Matching vs searching
Splitting a string
Replacing text
validations

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Module 20: Database Access

Introduction
Installing Oracle database
Creating database users,
Installing Oracle Python modules
Establishing connection with oracle
Closing database connections
Cursor object
Executing SQL queries
Retrieving data from Database.
Using bind variables executing SQL queries
Transaction Management
Handling errors

Module 21: Python Date and Time

How to Use Date & DateTime Class
Time and date Objects
Calendar in Python
The Time Module
Python Calendar Module

Module 22: Operating System Module

Introduction
getcwd
listdir
chdir
mkdir
rename file/dir
remove file/dir
Os help
Os operations

Module 23: Advanced concepts

Python Iterator
Python Generator
Python closure
Python Decorators
Web Scraping
PIP
Working with CSV files
Working with XML files
Working with JSON files
Debugging

Module 24: GUI Programming

Introduction
Components and events
Root window
Fonts and colors
Buttons ,checkbox
Label widget
Message widget
Text widget
image

Module 25: Data analytics

Introduction
pandas module
Numpy module
Matplotlib module
Working Examples

Module 26: Excel workbook

Installing and working with Xlsx writer
Creating Excel Work book
Inserting into excel sheet
Insetting data into multiple excel sheets
Creating headers
Installing and working with xlrd module
Reading a specific cell or row or column
Reading specific rows and columns

Module 27: HTML

Introduction to WEB
HTML Basic Tags
HTML Formatting Tags
HTML Lists
HTML Tables
HTML Images
HTML Anchors
HTML Forms
HTML Input Elements
HTML Form Attributes
HTML Frames
HTML GET/POST
HTML5 Drag/Drop
HTML Canvas
HTML Multimedia

Module 28: CSS

CSS Basics
CSS Introduction
CSS Syntaxes
CSS Styling,
Styling Backgrounds
Styling Fonts,
Styling Links,
Styling Lists
Styling Tables
CSS Borders
CSS Selectors
CSS Fonts
CSS Text Effects
CSS Backgrounds
CSS keyframes Rule
CSS Multiple Columns
CSS 2D Transforms
CSS 3D Transforms
CSS Transitions
CSS Animations
CSS User Interface

Module 29: Bootstrap

Bootstrap Introduction
Bootstrap Images
Bootstrap Tables
Bootstrap Forms
Bootstrap Dropdowns
Bootstrap Buttons
Bootstrap Button Groups
Bootstrap Helper Classes
Bootstrap Panels
Bootstrap Alerts
Bootstrap Panels
Bootstrap Plugins Overview

Module 30: SQL

SQL Introduction
Installing a Database
Creating database
Creating Tables
Insertions
Deletions
Updations
Groupings and Aggregations
Eliminating Duplicates
Filtering
Ordering
Merging tables
Horizontal Merging
Vertical Merging
Types of Joins
Various Built-in Functions
working with queries
Sub-queries

Module 31: Java Script

What is Script? Types of Scripts?
Introduction to JavaScript
Comments and Types of Comments
Popup Boxes
Variables & Operators
JavaScript Functions and Events
Conditional Statements
Looping Control Statements

Module 32: INTRODUCTION

What is Django?
Why Django? Key Advantages
History of Django
Features of Django
Characteristics of Django
Companies Using Django
Difference b/w MVC and MVT
Models Views and Templates

Module 33: WEB FRAMEWORKS

What is a Web Framework?
What is a server?
HTTP Requests and HTTP Responses
What is a web framework ?
What is a web application?
Steps in Developing web application

Module 34: DJANGO INSTALLATION

Django Architecture
Django Installation
Virtual Environment
Working with Pycharm
Working with ATOM
Developing First Django Application

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Module 35: DJANGO PROJECT ARCHITECTURE

Exploring manage.py,
Exploring urls.py
Exploring settings.py,
Exploring admin.py,
Exploring models.py,
Exploring views.py,
Application creations and Examples

steps in Application creation
Working with views
Working with HTML and CSS
Working with Bootstrap
Django Application creation in Atom
Django Application creation in Pycharm
project with multiple Applications
Reusing a Application in different projects
working with staticfiles

Module 37: DJANGO VIEWS

Requesting a web page via URL
Rendering web page via view function
Render HttpResponse to templates
Application with multiple views
Understanding context object and dictionary type
GET and POST methods

Module 38: DJANGO TEMPLATES

Template tags
Template Filters
Template API
Passing Dynamic content to template file
Passing multiple dict values to template
Loading static files
Adding image file to template
Advanced Templates
Template library
custom template filter
custom templates tags
Registering the tags

Module 39: DJANGO ADMIN

Activating the Admin interface
Creating super user for Admin site
Using the Admin site
How to use the Admin site

Module 40: DJANGO MODELS

working with models and databases
Defining Models
Model Fields
Defining forms
ModelForms
Makemigrations and migrate
Registering models in settings.py
Registering models with Admin site
Connecting with sqlite3
Connecting with MySQL
Connecting with Oracle

Module 41: ADVANCED CONCEPTS

Django ORM
Faker Module
Class based views
Form validation
Rendering forms
crispy forms
MultiselectField
Embeded Video
Uploading and downloading Files
Working with Audio and video
Integrating with legacy databases and applications
Sessions users Registrations
Security
Django Deployment
Other Contributed Frameworks

Download Python FullStack Course Syllabus

Frequently Asked Questions

Does Python require coding?

No, you can learn Python without any programming experience. In fact, Python is so popular in part because of its easy-to-use, intuitive nature. For people without any coding experience

What is Python mainly used for?

It is basically used for developing websites and software, task automation, data analysis, and data visualization.

Is Python difficult to learn?

It is the easiest programming languages for beginners to learn.

Can I attend a demo session before enrollment?

Yes you can attend a free demo lecture.

For Any Assistance or Clarification Please Call Us @ +91-9700187077

Python FullStack Training in Hyderabad