This course is designed to become efficient Python Developer to see yourself as one of the best IT professional Python Developer in the IT industry. Also develop your skills in Python scripting for the applications.
Before going to Python, let’s first understand

What is Python Web Development?

Python is a beautiful language. It’s easy to learn and fun, and its syntax (the rules) is clear and concise. Python is a popular choice for beginners, yet still powerful enough to back some of the world’s most popular products and applications from companies like NASA, Google, IBM, Cisco, Microsoft, Industrial Light & Magic among others.

One area where Python shines is web development. Python offers many frameworks from which to choose from including bottle.py, Flask, CherryPy, Pyramid, Django and web2py. These frameworks have been used to power some of the world’s most popular sites such as Spotify, Mozilla, Reddit, the Washington Post and Yelp. The tutorials and articles in this section cover techniques used in the development of Python Web applications and focus on how to program real-world solutions to problems that ordinary people actually want to solve.

This course will,

• Help you to learn what is Python Language
• How to write code for project
• Help you to learn what is all the modules designed for python web development
• Help you to learn Advanced Concepts in  Python which is necessary for Python WEb Development
• Help you to build your own project

We are eager to see you on desired position by learning and implementing this skills.

Wish you all the best for your career!!!

Python Web Development Syllabus

Module 1

Basic Python

        1  Introduction

1.1      What is Python..?

1.2   A Brief history of Python

1.3   Installing Python

1.4    How to execute Python program

• Using the Python Interpreter
  • 1. Invoking the Interpreter
    • 1.1. Argument Passing
    • 1.2. Interactive Mode
  • 2. The Interpreter and Its Environment
    • 2.1. Source Code Encoding
  • An Informal Introduction to Python
    • 1. Using Python as a Calculator
      • 1.1. Numbers
      • 1.2. Strings
      • 1.3. Lists
    • 2. First Steps Towards Programming
  • More Control Flow Tools
    • 1. if Statements
    • 2. for Statements
    • 3. The range() Function
    • 4. break and continue Statements, and else Clauses on Loops
    • 5. pass Statements
    • 6. Defining Functions
    • 7. More on Defining Functions
      • 7.1. Default Argument Values
      • 7.2. Keyword Arguments
      • 7.3. Arbitrary Argument Lists
      • 7.4. Unpacking Argument Lists
      • 7.5. Lambda Expressions
      • 7.6. Documentation Strings
      • 7.7. Function Annotations
    • 8. Intermezzo: Coding Style
  • Data Structures
    • 1. More on Lists
      • 1.1. Using Lists as Stacks
      • 1.2. Using Lists as Queues
      • 1.3. List Comprehensions
      • 1.4. Nested List Comprehensions
    • 2. The del statement
    • 3. Tuples and Sequences
    • 4. Sets
    • 5. Dictionaries
    • 6. Looping Techniques
    • 7. More on Conditions
    • 8. Comparing Sequences and Other Types
  • Modules
    • 1. More on Modules
      • 1.1. Executing modules as scripts
      • 1.2. The Module Search Path
      • 1.3. “Compiled” Python files
    • 2. Standard Modules
    • 3. The dir() Function
    • 4. Packages
      • 4.1. Importing * From a Package
      • 4.2. Intra-package References
      • 4.3. Packages in Multiple Directories
    • Input and Output
      • 1. Fancier Output Formatting
        • 1.1. Formatted String Literals
        • 1.2. The String format() Method
        • 1.3. Manual String Formatting
        • 1.4. Old string formatting
      • 2. Reading and Writing Files
        • 2.1. Methods of File Objects
        • 2.2. Saving structured data with json
      • Errors and Exceptions
        • 1. Syntax Errors
        • 2. Exceptions
        • 3. Handling Exceptions
        • 4. Raising Exceptions
        • 5. User-defined Exceptions
        • 6. Defining Clean-up Actions
        • 7. Predefined Clean-up Actions

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Module 2

Advance Python

• Classes
  • 1. A Word About Names and Objects
  • 2. Python Scopes and Namespaces
    • 2.1. Scopes and Namespaces Example
  • 3. A First Look at Classes
    • 3.1. Class Definition Syntax
    • 3.2. Class Objects
    • 3.3. Instance Objects
    • 3.4. Method Objects
    • 3.5. Class and Instance Variables
  • 4. Random Remarks
  • 5. Inheritance
    • 5.1. Multiple Inheritance
  • 6. Private Variables
  • 7. Odds and Ends
  • 8. Iterators
  • 9. Generators
  • 10. Generator Expressions
• Brief Tour of the Standard Library
  • 1. Operating System Interface
  • 2 Multi-threading
  • 3. Command Line Arguments
  • 5. String Pattern Matching
  • 6. Mathematics
  • 5. Logging
• Virtual Environments and Packages
  • 1. Introduction
  • 2. Creating Virtual Environments
  • 3. Managing Packages with pip
  • Using Databases in Python

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Module 3

Python MySQL Database Access

• Install the MySQLdb and other Packages
• Create Database Connection
• CREATE, INSERT, READ Operation
• DML and DDL Operation with Database
• Introduction into the sys module
• Forks and Forking in Python
• Introduction into Threads
• Memory Management in Python
• Regular Expressions
• GIL
• GUI Programming (Tkinter):

Button Widget

Label Widget

Text Widget

Python Custom Exception

Python Email Sending

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Module 4

HTML

Introduction to the Internet,

Web, W3

URL
Websites, Webserver
HTML Versions
HTML Tags, Types
How to create HTML file
<br> tag

HTML Presentation Tag
<body> tag
Paragraph Tag
Headings in HTML
<hr> tag
<marquee> tag
<img> tag
html links
<table> tag
html frames, iframes
form, legend tag
http – get,post
http status messages
list in html – ordered/unordered/definition
<address> tag
<blink> tag
<code> tag
<ins> tag
<nobr> tag
html meta tag reference
keyword
meta description
Auto load page
DHTML
html color – color value/code
<bdo> tag
<param> tag
html style, <span> tag
shortcuts to browser
special characters

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Module 5

CSS

Introduction
css versions
structure
types – inline/ext/int
attributes
css selector – tag/id/class/grouping/universal/descendent/attribute/adjuscent sibling
css unit
setting background
setting font
manipulating text
css image
css links – hover
css list
css border
css cursor
properties
pseudo classes
pseudo element
padding

border-radius
box -shadow
z-index

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Module 6

JAVA SCRIPT

Introduction – Diff between scripting and language
structure
javascript placed in html
debugging javascript
pop up boxes – alert/confirm/prompt
working with external javascript
datatypes

<no script> tag
operators
conditional control stmt
reserved words
looping
functions
return stmt
global Vs local variable
background color
document.body
boolean object
string object
js math object
number object
date object
window.print()
location property
javascript event – onclick/ondblclick/onload/onunload/onerror/onmousemove/
onmouseover/onmouseout
event handler – onresize/onselect/onchange/onblur/onfocus/onsubmit/onbeforeprint
/onafterprint
errors – syntax/runtime/logical
exception – try..catch/finally
special characters
global functions
js object
browser objects
navigator object
screen object
history object
location object
document object

window object
array object
javascript timeing events
DOM
pattern matching
RegExp object
wildcard characters
Quatifiers
metacharacters
validation

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Module 7

Introduction to Django

• Model Layer
• Models

Introduction to models

Field Types

Meta options

Model Class

• QuerySets

Executing queries

Queryset Method Reference

• Migrations

Introduction to migrations

Writing Migrations

• View Layer
• The basics

URLConfs

View Functions

Decorators

Request / Response objects

Class Based Views

File Uploads

• Template Layer

Built in tags and filters

Custom tags and filters

• Forms

Built in fields and widgets

Forms for models

Customizing validation

• Admin

Security

Performance and Optimization

Introduction to Rest API (Django Rest Framework)

You will get certification after successful course completion.

Students who are looking for job after completion of the course

1. Should be Graduate / Diploma ,ME, BE, M Tech. with Min 50% Passing Criteria
2. Qualifications Include: BE/ME/MTech(ALL BRANCHES), BCA/MCA,BCS/MCS,BSC(IT/CS) ,PG(IT/CS)
3. No coding background necessary.
4. Knowledge of manual testing is preferred.
5. Anyone who wants boost knowledge and switch the job.
6. Anyone who is having Laptop/ Computer.
7. Basic knowledge of English is mandatory.

1. Live Interactive Sessions will take you to the industry based learning and activities fulfill the need of Industry.
2. Hands-on project knowledge
3. Notes provided by expert trainer
4. There are career opportunities available like Software Developer, Python Web Developer and Project Engineer etc.
5. Focus on basic concepts of Python makes you professional Python Web Developer.
6. A beginner also go for this training and explore may opportunities

Kindly scroll down to see FAQs.