PYTHON Full STack Training Overview

Full Stack Python Development offers an immersive learning experience that delves into both the front-end and back-end facets of Python-driven web development. It is meticulously designed to equip participants with a thorough understanding of essential concepts, tools, and frameworks crucial for crafting contemporary, scalable web applications. Through a blend of interactive modules and hands-on exercises, learners will acquire practical expertise in every stage of the development cycle, from conceptualizing and designing to coding, deploying, and sustaining full-stack Python applications.

Course Objectives

  • Understand the architecture of full-stack web applications.
  • Gain proficiency in Python programming language.
  • Learn to develop dynamic web interfaces using frontend frameworks like Flask or Django.
  • Master backend development with Python and popular databases like MySQL or MongoDB.
  • Acquire knowledge of RESTful API development and integration.
  • Implement user authentication and authorization mechanisms.
  • Explore best practices for security and performance optimization.
  • Learn deployment strategies for deploying Python applications to production environments.

 Prerequisites

  • Basic understanding of programming concepts (preferably Python).
  • Familiarity with web technologies such as HTML, CSS, and JavaScript.
  • Knowledge of database concepts is beneficial but not mandatory.
  • Core Python: Demo:
    i. Why Python?
    ii. Who Uses Python today
    iii. What can we do with Python
    iv. How Python Developed and Supported
    v. Python – Technical Strengths.
    vi. What next?
    • Python Interpreter
    • Program Execution – programmer’s view, Python’s view
    • Installation
    i. Python
    ii. All Related Software: PyCharm, Anaconda
    iii. Setup, configure Python in Laptop
    iv. IDLE – UI, usage, features
    • All Numeric types in Python, coding/Hands-on
    • Python Variables, objects, References, Shared References, coding/Hands-on
    • Garbage Collection of objects
    • All built in types in python: Strings, Lists, Dictionaries, Tuples, sets, Files
    • Python Statements – coding/Hands-on
    • Assignments, Expressions and Prints
    i. if-else, if-elif-else, if-else ternary expression
    ii. while and for loops
    iii. Comprehensions vs regular
    iv. Parallel Traversals: map and zip functions
    v. Other important functions: range, len, enumerate
    • Iterations and Comprehensions – coding/Hands-on
    • Python online Documentation
    • Python Functions – def, nested functions
    • Variable Scopes – basics, LEGB rules, global, nonlocal
    • Function Arguments – coding/Hands-on
  • i. Arguments and shared references
    ii. Arguments passing basics
    iii. Arguments matching basics
    iv. Arguments matching syntax
    v. Multiple Results
    • Advanced Function Concepts – Recursive functions, Attributes, Annotations,
    lambda
    • Generators and comprehensions – Generator functions, yield, Generator
    expression
    • Python Modules
    i. Definition, why modules?
    ii. Typical Python program architecture
    iii. Import statement – coding/Hands-on
    iv. How Import works: Find it, Compile it, Run it
    v. Standard library modules
    vi. __pycache__ folder for byte code files
    vii. Module search path
    • Module coding Basics
    i. Module creation
    ii. import statement, from statement, from * statement
    iii. Module Namespaces, Namespace dictionaries: __dict__
    iv. Reloading modules
    • Module Packages
    i. Package import basics
    ii. Why Package imports?
    iii. Relative import basics
    iv. Why relative imports?
    v. Package Namespaces
    • Advanced Module Topics
    i. Data hiding in modules – coding/Hands-on
    ii. Mixed usage modes: __name__ and __main__ – coding/Hands-on
    iii. The as extension for import and from – coding/Hands-on
    • Introduction to Python Classes – coding/Hands-on
    i. Why Classes?
  • ii. Classes, constructors and Instances 
  • iii. Method calls 
  • iv. Attribute inheritance search 
  • v. OOP is about code reuse 
  • vi. Subclassing by Inheritance 
  • vii. Polymorphism in Action
  •  viii. Class vs instance attributes 
  • ix. Storing objects in DB – Pickles & Shelves • 
  • Coding with Classes – coding/Hands-on 
  • i. Abstract super classes 
  • ii. Nested classes 
  • iii. Classes vs Modules
  •  iv. Namespace dictionaries 
  • v. LEGB scopes rule revisited • 
  • Operator Overloading – coding/Hands-on
  •  i. Constructors: __init__ 
  • ii. Indexing, Slicing: __getitem__ and __setitem__ 
  • iii. Attribute Access: __getattr__ and __setattr__ 
  • iv. String Representation: __repr__ and __str__ 
  • v. Right side and In-Place Uses: __radd__ and __iadd__
  •  vi. Call Expressions: __call__ 
  • vii. Comparisons: __lt__, __gt__ and others
  •  viii. Boolean Tests: __bool__ and __len__ 
  • ix. Destructors: __del__ 
  •  Special features of Classes – coding/Hands-on 
  • i. Inheritance: “IS-a” relationship 
  • ii. Composition: “HAS-a” relationship 
  • iii. Pseudo private class attributes 
  • iv. Bound and unbound method objects 
  • v. Class objects 
  • vi. “Mix-In” classes 
  • Advanced Class Topics – coding/Hands-on 
  • i. “New style” class model ii. Diamond inheritance change
  • iii. MRO: Method Resolution Order
  • iv. Slots: Attribute Declarations
  • v. Properties: Attribute Accessors
    vi. Static and Class methods
    vii. The “super” built-in function
    • Exception Basics – coding/Hands-on
    i. Why Exceptions?
    ii. Default Exception handler
    iii. Catching Exceptions
    iv. Raising Exceptions
    • Coding Exceptions – coding/Hands-on
    i. The try/except/else statement
    ii. try/finally statement
    iii. raise statement
    iv. assert statement
    v. with/as context managers
    vi. Nesting Exception Handlers
    • Exception Objects
    i. Class based exceptions
    ii. Why Exception hierarchies?
    iii. Built-in Exception Classes
    iv. Custom Exceptions
    II) Regular Expressions with Python:
    • What are regular expressions?
    • regex module in python
    • The match Function
    • The search Function
    • Matching vs searching
    • Search and Replace
    • Meta characters, advanced patterns
    III) Django Framework:
    • Django overview, installation
    • Web Application Architecture
    • Creating and setup a virtual environment
    • Project and Apps in Django
  • First Project creation and Apps creation, App Regitration
    • URL Patterns, creating URLs, Mapping URLs
    • path, include in URL mappings
    • Django Templates, Create Templates
    • DTL – Django Template Language
    • Variables, filters, Tags in Django Templates
    • Template inheritance
    • Partial Templates
    • Static files (CSS, Images, etc…)
    • Including static files in templates
    • Django-DB Connection settings configuration
    • Models, Defining & Migrating models
    • Django Model Fields, field options
    • Admin Panel, creating superuser
    • Model registration to Admin Panel
    • Django Python Shell
    • All CRUD operations with Models
    • Bulk CRUD operations with Models
    • Types of DB Relationships in Django
    • Build One to Many DB Relationship code
    • Build One to One DB Relationship code
    • Build Many to Many DB Relationship code
    • Building HTML Forms, Django Forms, Model Forms
    • Validating fields in all forms.
    • Validators in Django
    • CSRF Token
    • Views in Django
    • Function based views
    • Class based built in views
    • File uploading
    • Sending Emails with and without Django
    IV) Django REST Framework:
    • Why REST Framework
    • REST APIs
    • REST API interaction with React JS
    • Json data
  • DRF Serializers
    • DRF Viewsets in detail
    • DRF Routers in detail
    • DRF Permissions
    • DRF Mixins in detail
    • DRF Authentication
    • Token Authentication
    • DRF Sessions
    • DRF Settings
    V) Database:
    • MySQL Installation, Heidi SQL Installation.
    • What is RDBMS?
    • RDBMS Terminology.
    • Python MYSQL Database Access
    • Create Database Connection
    • DDL Operations with Databases
    • Accessing Database
    • DQL Operations with Databases
    • DML Operations with Databases
    • Aggregations in Database
    • Table Joins
    • Interacting DB with Python using python libraries.
    • Installation of Python libraries for DB access.
    b) Front End Technologies: ~ 1.5 month
    I) HTML5:
    • Introduction to HTML
    • Basic Structure of HTML
    • HTML Editors
    • HTML Tags
    • Paragraphs, Headings and Text
    • Formatting Tags
    • HTML Lists
    • HTML Images
  • HTML Tables
    • HTML Forms
    • HTML Media
    II) CSS3:
    • Introduction to CSS
    • Types of CSS
    • CSS Properties, Selectors and Values
    • Applying CSS to HTML
    • CSS colors
    • CSS Box Model, Margins, Padding,
    • Borders
    • CSS Text & Font Formats
    • CSS Advanced Topics (Effects, Animations, Shadows, Etc.,)
    III) Javascript:
    • Introduction to JavaScript
    • How to Apply JavaScript
    • Displaying Output in JavaScript
    • Understanding JavaScript Syntax
    • Variables & Datatypes
    • Operators
    • Math and String Manipulations
    • Conditional and looping Statements
    • Functions
    • Validations
    • Events
    • ES6 Features, http API call
    IV) Bootstrap:
    • Introduction to Bootstrap
    • Bootstrap Setup
    • Bootstrap Containers
    • Bootstrap Grids
    • Bootstrap Tables
    • Bootstrap Buttons, Navbars, Alerts
  •  Bootstrap Carousel
    • Bootstrap Forms
    V) React JS:
    • Introduction to React
    • Components
    • Props and State
    • Handling Events
    • Conditional Rendering
    • Hooks
    • Routing and Navigation
    • API Integration
    • State Management (Redux)
    • Styling in React
    • Optimizing Performance
    • Forms and Validation
    • Testing React Applications
    • Deployment
    • Advanced Topics (Optional)
    • Real-world Projects
    • Best Practices and Code Quality

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