Python Django Online Training

Course Overview

The course of Python Django is designed specifically to understand the core concepts and have a better understanding of the concept. The concepts are taught in detail so that the framework can be understood very well and can be used in real life with great flair and confidence. Coding is taught for development using the framework of Python Django. Security aspects are also covered in the training that are present in the framework. The trainees will work on various projects that will help them gain a better understanding of the practical approach.

About Python Django

Django is written is python and the code is open source framework widely used in web applications. A framework can be defined as a collection of similar or different modules that makes the procedure of development easier. When they are grouped together, it can be used to create various applications or websites from a source that already exists instead of developing it from scratch. When creating a website from scratch various components are to be developed on your own, whereas, using frameworks makes the task easier as major components are already built and they just need configuration.

What are the objectives of Python Django Online Training?

The Python Django Training From Indiacourse helps the trainee understand the different aspects of Python Django and its application in real life. Several modules are covered in the training that covers almost all the major concepts of Python Django. The trainings are provided by industry experts and include following objectives -

• Understanding the concepts of Python Programming
• Creation of Websites using Django Models
• Django Ajax usage in the development procedure
• Using Django Query
• Django Rest Framework

Why is it a good idea to learn Python Django to grow your career?

Widely accepted framework, it makes the procedures very easy and therefore, companies nowadays use Python Django to create websites and develop software. The fundamentals of Python Django is taught in the course that helps the professionals have better career opportunities.

• Usage of Django is increasing as it is becoming a commonly used framework for Python.
• Top companies such as Nasa, etc and even social media applications like Facebook, Instagram, Pinterest, etc. have started using Python with the Django framework.
• On an average, salary earned by Python Developers and Django Professionals is $117,000 and $102,000 respectively.

Who should learn Python Django?

The technology benefits the people of development background. Website developers can obtain the maximum benefits by working with DJango in Python. However, there are a few other roles who can consider taking up this course to upgrade their skills.

• Web Developers
• Full Stack Developers
• UI Developers and Leads of Technical Background
• QAs, Architects
• Freshers from IT background.

What are the things you will learn in Python Django Online Training?

Core skills of Python Django are learnt by taking the Python Django Online course offered by SV Soft Solutions. The concepts taught in the course are listed below that are gained after the successful completion.

• Creating applications with Python Django to solve some required problems.
• E-commerce applications can be built to display products
• Physically represent data using maps.
• Third-party payment integration can also be done that would help to process transactions
• Developing applications by using Django, Python Framework

1. Certificates Provided

• IT Infrastructure Management Master
• Industrial Automation Professional
• Special Masters Program
• Software Development
• Electronic Design Automation

2. What are the career paths available after completing Python Django Online Training?

Python is added by the professionals in their skill-set as they are understanding the need for faster development of applications. Python makes the programming procedure faster and provides following job opportunities.

• Python Developer
• Data Scientist
• Data Analyst
• Software Engineer
• Research Analyst
• Software Developer

3. Which companies recruit Python Django Professionals?

• Rplanx
• Arminus
• Goken India
• AlgoScale Technologies
• Modistabox

Python & Django Syllabus Overview

Introduction to Script

• What is Script, program?
• Types of Scripts
• Difference between Script and Programming Languages
• Features and Limitation of Scripting
• Types of programming Language Paradigms

Introduction to Python

• What is Python?
• Why Python?
• Who Uses Python?
• Characteristics of Python
• History of Python
• What is PSF?
• Python Versions
• How to Download and Install Python
• Install Python with Diff IDEs
• Features and Limitations of Python
• Python Applications
• Creating Your First Python Program
• Printing to the Screen
• Reading Keyboard Input
• Using Command Prompt and GUI or IDE
• Python Distributions

Different Modes in PYTHON

• Execute the Script
• Interactive and Script Mode
• Python File Extensions
• SETTING PATH IN Windows
• Clear screen inside python
• Learn Python Main Function
• Python Comments
• Quit the Python Shell
• Shell as a Simple Calculator
• Order of operations
• Multiline Statements
• Quotations in Python
• Python Path Testing
• Joining two lines
• Python Implementation Alternatives
• Sub Packages in Python
• Uses of Python in Data Science, IoT
• Working with Python in Unix/Linux/Windows/Mac/Android..!!

PYTHON NEW IDEs

• PyCharm IDE
• How to Work on PyCharm
• PyCharm Components
• Debugging process in PyCharm
• PYTHON Install Anaconda
• What is Anaconda?
• Coding Environments
• Spyder Components
• General Spyder Features
• Spyder Shortcut Keys
• Jupyter Notebook
• What is Conda? and Conda List?
• Jupyter and Kernels
• What is PIP?

Variables in Python

• What is Variable?
• Variables and Constants in Python
• Variable,Variable names and Value
• Mnemonic Variable Names
• Values and Types
• What Does “Type” Mean?
• Multiple Assignment
• Python different numerical types
• Standard Data Types
• Operators and Operands
• Order of Operations
• Swap variables
• Python Mathematics
• Type Conversion
• Mutable Versus Immutable Objects

String Handling

• What is string?
• String operations and indices
• Basic String Operations
• String Functions, Methods
• Delete a string
• String Multiplication and concatenation
• Python Keywords, Identifiers and Literals
• String Formatting Operator
• Structuring with indentation in Python
• Built-in String Methods
• Define Data Structure?
• Data Structures in PYTHON

Python Operators and Operands

• Arithmetic, Relational Operators and Comparison Operators
• Python Assignment Operators
• Short hand Assignment Operators
• Logical Operators or Bitwise Operators
• Membership Operators
• Identity Operators
• Operator precedence
• Evaluating Expressions

Python Conditional Statements

• How to use “if condition” in conditional structures
• if statement (One-Way Decisions)
• if .. else statement (Two-way Decisions)
• How to use “else condition”
• if .. elif .. else statement (Multi-way)
• When “else condition” does not work
• How to use “elif” condition
• How to execute conditional statement with minimal code
• Nested IF Statement

Python LOOPS

• How to use “While Loop” and “For Loop”
• How to use For Loop for set of other things besides numbers
• Break statements, Continue statement, Enumerate function for For Loop
• Practical Example
• How to use for loop to repeat the same statement over and again
• Break, continue statements

Learning Python Strings

• Accessing Values in Strings
• Various String Operators
• Some more examples
• Python String replace() Method
• Changing upper and lower case strings
• Using “join” function for the string
• Reversing String
• Split Strings

Sequence or Collections in PYTHON

• Strings
• Unicode Strings
• Lists
• Tuples
• buffers
• xrange

Python Lists

• Lists are mutable
• Getting to Lists
• List indices
• Traversing a list
• List operations, slices and methods
• Map, filter and reduce
• Deleting elements
• Lists and strings

Python TUPLE

• Advantages of Tuple over List
• Packing and Unpacking
• Comparing tuples
• Creating nested tuple
• Using tuples as keys in dictionaries
• Deleting Tuples
• Slicing of Tuple
• Tuple Membership Test
• Built-in functions with Tuple
• Dotted Charts

Python Sets

• How to create a set?
• Iteration Over Sets
• Python Set Methods
• Python Set Operations
• Union of sets
• Built-in Functions with Set
• Python Frozenset

Python Dictionary

• How to create a dictionary?
• PYTHON HASHING?
• Python Dictionary Methods
• Copying dictionary
• Updating Dictionary
• Delete Keys from the dictionary
• Dictionary items() Method
• Sorting the Dictionary
• Python Dictionary in-built Functions
• Dictionary len() Method
• Variable Types
• Python List cmp() Method
• Dictionary Str(dict)

Python Functions

• What is a function?
• How to define and call a function in Python
• Types of Functions
• Significance of Indentation (Space) in Python
• How Function Return Value?
• Types of Arguments in Functions
• Default Arguments and Non-Default Arguments
• Keyword Argument and Non-keyword Arguments
• Arbitrary Arguments
• Rules to define a function in Python
• Various Forms of Function Arguments
• Scope and Lifetime of variables
• Nested Functions
• Call By Value, Call by Reference
• Anonymous Functions/Lambda functions
• Passing functions to function
• map(), filter(), reduce() functions
• What is a Docstring?

Advanced Python

Python Modules

• What is a Module?
• Types of Modules
• The import Statement
• The from…import Statement
• ..import * Statement
• Underscores in Python
• The dir( ) Function
• Creating User defined Modules
• Command line Arguments
• Python Module Search Path

Packages in Python

• What is a Package?
• Introduction to Packages?
• py file
• Importing module from a package
• Creating a Package
• Creating Sub Package
• Importing from Sub-Packages
• Popular Python Packages

Python Date and Time

• How to Use Date & DateTime Class
• How to Format Time Output
• How to use Timedelta Objects
• Calendar in Python
• datetime classes in Python
• How to Format Time Output?
• The Time Module
• Python Calendar Module
• Python Text Calendar, HTML Calendar Class
• Unix Date and Time Commands

File Handling

• What is a data, Information File?
• File Objects
• File Different Modes and Object Attributes
• How to create a Text Fil and Append Data to a File and Read a File
• Closing a file
• Read, read line ,read lines, write, write lines…!!
• Renaming and Deleting Files
• Directories in Python
• Working with CSV files and CSV Module
• Handling IO Exceptions

Python OS Module

• Shell Script Commands
• Various OS operations in Python
• Python File System Shell Methods

Python Exception Handling

• Python Errors
• Common RunTime Errors in PYTHON
• Abnormal termination
• Chain of importance Of Exception
• Exception Handling
• Try … Except
• Try .. Except .. else
• Try … finally
• Argument of an Exception
• Python Custom Exceptions
• Ignore Errors
• Assertions
• UsingAssertionsEffectively

More Advanced PYTHON

• Python Iterators, Generators, Closures, Decorators and Python @property

Python Class and Objects

• Introduction to OOPs Programming
• Object Oriented Programming System
• OOPS Principles
• Define Classes
• Creating Objects
• Class variables and Instance Variables Constructors
• Basic concept of Object and Classes
• Access Modifiers
• How to define Python classes
• Python Namespace
• Self-variable in python
• Garbage Collection
• What is Inheritance? Types of Inheritance?
• How Inheritance works?
• Python Multiple Inheritance
• Overloading and Over Riding
• Polymorphism
• Abstraction
• Encapsulation
• Built-In Class Attributes

Python Regular Expressions

• What is Regular Expression?
• Regular Expression Syntax
• Understanding Regular Expressions
• Regular Expression Patterns
• Literal characters
• Repetition Cases
• Example of w+ and ^ Expression
• Example of \s expression in re.split function
• Using regular expression methods
• Using re.match()
• Finding Pattern in Text (re.search())
• Using re.findall for text
• Python Flags
• Methods of Regular Expressions

Python-Data Base Communication

• What is Database? Types of Databases?
• What is DBMS?, RDBMS?
• What is Big Data? Types of data?
• Oracle
• MySQL
• SQL server
• DB2
• Postgre SQL
• Executing the Queries
• Bind Variables
• Installing of Oracle Python Modules
• Executing DML .!!

Multi-Threading

• What is Multi-Threading
• Threading Module
• Defining a Thread
• Thread Synchronization
• Test scenarios, Test Cases, Test suites

Introduction to Python Web Frameworks

• Django – Design
• Advantages of Django
• MVC and MVT
• Installing Django
• Designing Web Pages
• HTML5, CSS3, AngularJS
• PYTHON Flask, Bottle, Pyramid, Falcon