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Softpro's Python course aims at giving expert-level knowledge to the Trainees which leads them to become highly skilled in programming with the use of the highly technical frameworks.
You will Learn:
HTML, CSS, JavaScript,
Python Basics, Django Framework, Installation of Python,
Setting path for Python,
Python Command line shell, Editors and IDE’s,
Running Python Script on Windows/Linux,
Static data types vs. Dynamic data types,
Fundamental Data types,
Collection Types,
Number systems,
Mutable objects vs. Immutable objects,
Type Conversion functions etc.
Disqus, Facebook, Instagram, Pinterest,
NASA, The Washington Post and other top companies use Python with Django
Django is the most
popular web framework
for Python.
Average salary of a Django
professional is $117,000 per annum - Indeed.com
30 LAKH JOBS TO BE ADDED BY 2025
The Indian IT/ITeS Industry added 1.4 lakh jobs in 2020 and will continue to add around 30 lakh jobs by
2025.
TOP 10 EMERGING JOBS IN INDIA
Full Stack Developers, Back End Developers, and JavaScript Developers are listed in the Top 10 Emerging Jobs by Linkedin India.
HIGHLY REWARDING CAREERS
Average starting salary for Full Stack Developers starts at 6-9 LPA and increases based on
experience.
#1 RANKED - FULL STACK DEVELOPER
Full Stack Developers are the most in-demand Software Developers followed by Back End Developers and Front End developers.
Course Curriculum
Python Introduction
Python use cases
Features of Python
Versions of Python
Python distributions
Installation of Python
Setting path for Python
Python Command line shell, Editors and IDE’s
Running Python Script on Windows/Linux
Keywords
Data types
Static data types vs. Dynamic data types
Fundamental Data types
Collection Types
Number systems
Mutable objects vs. Immutable objects
Variables
Naming Conventions
Print(), Type() and Id() functions
Input() and raw_input() functions
Type Conversion functions
String Handling
What is string
String-quoted string literals
Triple-quoted string literals
String Indexing
String Slicing
Working with string functions
Elements of flow control
Block/Clause
Conditional Statements
Simple – if
If – else
If – elif –
Looping Statements
While loop
While --- else
For loop
Using range() in for loop
Break statement
Continue statement
Pass statement
Introduction to collections
List
Tuple
Set
Dictionary
Collections Indexing and Slicing
Functions for all collections
Iterating through a collections
Operators and keywords for collections
Difference between list, tuple and set
Sorting collections
Defining a function
Calling a function
Function Parameters
Types of arguments
Return statement in functions
Handling return values
Global and local variables
Call by value
Call by reference
Passing collection to a functions
Lambda functions/ anonymous functions
Passing functions to function
Filter() and map() functions
What is module
Types of modules
The import statement
Module aliases/ renaming a module
From .. Import
Reloading a module
Working with pre-defined Standard modules (Math, Datetime, Os, Sys, String….)
What is Exception?
Need of exception handling
Predefined exceptions
Predefined exceptions hierarchy
Try, except and finally clauses
Named except block
Default except block
Handling multiple exceptions
Nested try, except and finally blocks
User defined Exceptions
Introduction to OOPs programming
Encapsulation
Defining classes
Creating objects
Constructor
Defining methods
Objects reference count
Objects garbage collection
Inheritance
Types of inheritances
Polymorphism
Super() statement
Data hiding
Custom exception classes
Inner classes
Regular Expressions
Simple character matches
Special Characters
Character Classes
Quantifiers
Forming regular expressions
Greedy matches
Compiling regular expressions
Grouping
Match objects
Match(), Search() and Sub() functions
Splitting of string
Replacing text
Flags
Installation of mysql database
Creating databases in mysql
Creating users and assigning privileges to the users in mysql
Installation of mysql python modules
Establishing connection with mysql
Closing mysql database connections
Execution of insert, update, delete and select queries
Handling db errors
Python Iterator
Python Generator
Python Closure
Python Decorators
Web Scraping
PIP
Installation of external modules using PIP
Working with JSON files
Test cases implementations
Working with OpenCv
Face detection system using OpenCv and Python
Text to speech convertor in Python
History of Django
Advantages of Django over web development
Installing DJANGO
Database Setup
Web Server
Create a project
The Project structure
Setting up your project
DJANGO – App Life Cycle
DJANGO – Admin Interface
DJANGO – Creating View
DJANGO – URL Mapping
DJANGO – Template System
DJANGO – Models
DJANGO – Page Redirection
DJANGO – Sending Emails
DJANGO – Form Processing
DJANGO – File Uploading
DJANGO – Handling Cookies
DJANGO – Handling Sessions
Goal: In this module, you will learn how to create Templates and Forms in Django
Objectives:
Explain the Django Template System
Load Template Files
Render Templates
Create Forms
Process Form Data
Customize Form Field Validation
Topics:
Django Template Language
Utilities of Templates
Creating Template Objects
Tags, Variables and Filters
Rendering Templates
Template Inheritance
Form Handling
Form validation and Error Messages
Form Display
Goal: In this module, you will learn how to create Database Models and add Dynamic content to your webpages
Objectives:
Define Database Models
Use Model Fields
Populate a Database, CRUD
Use QuerySets for data retrieval
Use jQuery and AJAX with Django to create Dynamic websites
Topics:
Django Models
Model Fields
Model Inheritance
CRUD on DB
Primary keys and the Model
Dynamic Webpages
Toggle Hidden Content
jQuery and AJAX integration
Goal: In this Python with Django course module, you will learn how to serialize and deserialize data and create APIs
Objectives:
Explain Data Serialization
Use Django’s REST Framework
Use Serializers and Deserializers
Use Model Serializers
Use REST APIs
Topics:
Serialization and Deserialization
Django REST Framework
Serializer class
Model Serializers
REST APIs
Goal: In this Python with Django course module, you will learn how to parse data stored in XML & JSON formats using Python
Objectives:
Explain XML and JSON file formats
Explain XML-RPC
Parse data stored in both XML and JSON formats
Stores data in XML and JSON formats
Topics:
XML-RPC
XML, parsing object to XML and back
JSON, parsing object to JSON and back
Certification
Softpro’s Full Stack with PYTHON Professional Certificate