• Environment setup
•  The python programming language
• What is program?
• What is debugging?  Variables, Expressions and Statements

• Function calls
•  Type conversion functions
•  Math functions
•  Composition
• Adding new functions
• Definitions and uses
• Flow of execution
•  Parameters and arguments
•  Variables and parameters are local
• Stack diagrams
•  Fruitful functions and void functions
• Why functions?
•  Importing with from
•  Debugging

• Modulus operator
•  Boolean expressions
• Logical operators
•  Conditional execution
•  Alternative execution
•  Chained conditionals
• Nested conditionals
•  Recursio
•  Stack diagrams for recursive functions
• Infinite recursion
•  Keyboard input
• Debugging

• Return values
•  Incremental development
• Composition
•  Boolean functions
•  More recursion
• Leap of faith
•  Checking types
•  ebugging

• Multiple assignments
•  Updating variables
• The while statement
• Break
•  Debugging
• For loop

• A string is a sequence
•  Len
•  Traversal with a for loop
•  String slices
•  Strings are immutable
• Searching
•  Looping and counting
• String methods
•  The in operator
•  String comparison
• Debugging

• A list is a sequence
•  Lists are mutable
•  Traversing a list
•  List operations
• List slices
• List methods
•  Map, filter and reduce
•  Deleting elemen
•  Lists and strings
•  Objects and values
• Aliasing
• List arguments
•  Debugging

• Dictionary as a set of counters
• Looping and dictionaries
•  Reverse lookup
• Dictionaries and lists
•  Memos
• Global variables
• Long integers
•  Debugging

• Tuples are immutable
• Tuple assignment
• Tuples as return values
• Variable-length argument tuples
•  Lists and tuples
•  Dictionaries and tuples
• Comparing tuples
•  Sequences of sequences
• Debugging

• Usage
• Union, Difference
•  Available methods

• Introduction
• Exceptions versus Syntax Errors
•  Raising an Exception
• The AssertionError Exception
• The try and except Block: Handling Exceptions
• The else Clause

• Persistence
• Reading and writing
• Format operator
•  Filenames and paths
•  Catching exceptions
•  Databases
•  Writing module
•  Debugging

• Introduction, Application and Usage
•  reader and writer
•  DictReader and DictWriter
•  Simple CSV processing using functional programming

• Introduction to Pandas
• DataFrame Data Structure
• DataFrame Indexing and Loading
•  Querying a DataFrame
•  Indexing Dataframes
•  Manipulating DataFrame

• Installations
•  Introduction, Application and Usage
•  Basic Structured Query Language
• CRUID operations

• Principles of Information Visualization]
• Visualizing Data Using Spreadsheets
•  Matplotlib
•  Plotly
• Scatterplots
•  Line Plots
• Bar Charts
•  Histograms
•  Plotting with Pandas

• User-defined types
• Attributes
• Real World Example
• Instances as return values
• Objects are mutable
•  Copying
• Debugging

• Object-oriented features
•  The self
• Printing objects
•  The init method
• The __str__ method
•  Other special methods
• Operator overloading
•  Type-based dispatch
•  Polymorphism
•  @staticmethod
• Debugging

• Introduction
•  Checking callable or not
•  Decorators
•  Creating and using decorators

• Introduction
• Example
•  Class attributes
• Private, Protected and Public
•  Multiple Inheritance
• Class diagrams
• Debugging
•  Data encapsulation

• installing Git
• status, log commit push, pull commands
• Branch, Tags and Multiple remote concept and Implementation
•  checkout, reset, rebase, merge concept
• Gitlab vs Github vs Bitbucket

• Trello, Slack, Jira

• Advanced Strings, Date & Time
•  Python os, re, sys
•  GUI basics: Tkinter, Tcl/Tk
• Comprehensions: List, Dictionary
• CSV, Json, XML, SQLite with Python
• Data Science/Visualization: pandas, matplotlib
• Jupyter NoteBook
•  Data Streaming using Big Data Technologies like Kafka.

As per the recommendation of students, one of the following projects will be done by the instructor themselves!

• Web Scraping project (includes handling web scraping tools, proper file handling and implementation of sql)
•  GUI project (any desktop application e.g: calculator, data entry application

Introduction o Introducing Django

• Installing Django
• The Model-View-Controller Design Pattern
• Apps Vs Project
• Why Apps?
• Request Lifecycle
• HTTP verbs
•  HTTP status code

• What is manage.py?
•  Available Commands

• Views and URLconfs
•  Separating Urls of different Apps
• Django Views: Dynamic Content

• Introduction
• Use CDN or Download
•  Grid System
• Forms, Well, Panels
•  Modal, Dropdown, alerts, and Many more
•  Material Design

• Django Templates
•  Introduction Jinja
•  For syntax
•  If syntax
•  Basic Template Tags and Filters
•  Inheritance (extending a base)
•  Templates in Views

• Introduction to Sqlite
•  Using Sqlite within Pycharm
•  DDL and basic DML
• Using Mysql within Pycharm

• Django Models
•  Django Models: Basic Data Access
•  Meta Class
•  Writing different type of DML using ORM
•  One to One Relationship
•  One to Many Relationship
•  Many to Many Relationship
•  Makemigrations and migrate

• The Django Admin Site
• Adding Models to Django Admin
•  Customizing Change Lists and Forms
•  Users, Groups and Permissions
•  Using Other packages for theme changing

• Django Forms
• Form Validation
•  ModelForm
• Tying Forms to Views
• Using django bootstrap package

• DetailView
•  ListView
• FormView
•  CreateView
•  UpdateView
• DeleteView

• User Authentication in Django
•  Authentication in Web Requests
• Authentication Views
•  Authentication Forms and Templates
• Managing Users in the Admin
•  Customizing Authentication in Django

• Django Sessions
• Using Sessions in Views
•  Using Sessions out of Views

• Django Middleware
•  Available Middleware
• User

• Generating Non-HTML Content
• Generating PDF’s
•  The Syndication Feed Framework
•  The Sitemap Framework

• Introduction
•  JsonResponse
•  Installing
• Django Rest
•  Serialization
•  Requests and Response
•  Using Postman

• Introduction and Importance
•  Writing test case

• Introduction
• Vanilla Js
• Event Listeners
•  Ajax Get Request
• Ajax Post Request
• Introduction to React, Vue, Angular
•  Introduction to NPM, bower, Webpack
•  Introduction to Event Driven Development

• Introduction to AWS, Google Compute, Azure, Alibaba clou
• Installing gunicorn
•  Deployment Key (SSH Keys)
•  Transfering Django app to Server using GIT
• CI and CD concept
•  Chatops concept

• News Portal Full web application with templating (Traditional approach) RestfulAPIs design for corresponding application (Modern approach/ Backend)
•  Jobs Portal Full web application with templating (Traditional approach) RestfulAPIs design for corresponding application (Modern approach/ Backend)
• Order Management System Full web application with templating (Traditional approach) RestfulAPIs design for corresponding application (Modern approach/ Backend) (Note: among the three, only one will be done in class)
• Rest Api Development using Django Rest Framework

• Introduction
• Packages List
•  Be updated to new available awesome packages and extension