Instructor

htbb

Category

Python

Python Full Stack Development and Data Analysis and Visualization Course

45 Days

All levels

160 lessons

0 quizzes

0 students

Overview
Curriculum
Instructor

Curriculum

35 Sections
160 Lessons
45 Days

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Module 1: Introduction / Demo
4
- 1.1
  How is Python? (History)
- 1.2
  What is Python?
- 1.3
  Why is Python?
- 1.4
  Where is Python?
Module 2: Development Setup
5
- 2.1
  Install Python
- 2.2
  Install Git (Django)
- 2.3
  Install PyCharm (Django)
- 2.4
  Create GitHub repository (Django)
- 2.5
  Virtual Environment Setup
Module 3: Variables and Data Type
6
- 3.1
  Python Fundamentals (***)
- 3.2
  Variables
- 3.3
  Data types: String, Integer, Boolean, Float
- 3.4
  None Type
- 3.5
  Operators (***)
- 3.6
  Data Structure: List, Dictionary, Tuple, Array, Set
Module 4: Statement
5
- 4.1
  Conditional Statement
- 4.2
  Looping Statement
- 4.3
  Nested Loop
- 4.4
  Control Looping
- 4.5
  Break and Continue, pass(**)
Module 5: Numbers & Arrays in Python (***)
2
- 5.1
  Numbers (math-module & random-module)***
- 5.2
  Array-module(***)
Module 6: Collections (Data-Structures) in Python (***)
6
- 6.1
  String in Python***
- 6.2
  List in Python***
- 6.3
  Tuple in Python***
- 6.4
  Set in Python***
- 6.5
  FrozenSet in Python***
- 6.6
  Dictionary in Python***
Module 7: User Defined Function
4
- 7.1
  Types of Functions (Function with/without Parameter and/or return value)
- 7.2
  Unnamed and Named Parameters
- 7.3
  Create User Defined Function
- 7.4
  Anonymous Lambda Function
Module 8: Date & Time in Python (***)
3
- 8.1
  Time module(***)
- 8.2
  Calendar module(***)
- 8.3
  Datetime module(***)
Module 9: Modules & Packages (***)
2
- 9.1
  User-defined Modules(***)
- 9.2
  User-defined Packages(***)
Module 10: Generator and Decorator
4
- 10.1
  Iterator
- 10.2
  Generator
- 10.3
  Nested Function
- 10.4
  Decorator
Module 11: OOPs with Python (***)
16
- 11.1
  What is OOPs
- 11.2
  OOPs implemented in Python
- 11.3
  Inheritance and Polymorphism
- 11.4
  Operator and Method overriding
- 11.5
  Create Class and Core Python Object
- 11.6
  Class Attributes
- 11.7
  OOPS Abstraction(***)
- 11.8
  Abstract classes & Interfaces(***)
- 11.9
  Constructors & Destructors(***)
- 11.10
  Garbage Collection(***)
- 11.11
  Polymorphism Duck Typing(***)
- 11.12
  Operator Overloading with magic-methods(***)
- 11.13
  Inheritance super() method(***)
- 11.14
  Inner-classes(***)
- 11.15
  Types of Variables & Methods in Python class(***)
- 11.16
  Self (sp-variable in Python class)***
Module 12: Exception Handling and Built in Functions
5
- 12.1
  Basic Exception Handling
- 12.2
  Try…Except…Else…Finally
- 12.3
  Debugging Errors
- 12.4
  Built in functions: String Related Functions, Integer Related Functions, Data Structure Related Functions, Common Functions
- 12.5
  Built in Modules: OS related Module, Mathematical Modules
Module 13: File Systems and File Handling
5
- 13.1
  Write to a File
- 13.2
  Read from a File
- 13.3
  Check File and Copy File
- 13.4
  Pickle Module
- 13.5
  Working with Directories
Module 14: Threading and Multithreading
6
- 14.1
  What is threading
- 14.2
  What is Multithreading?
- 14.3
  Different ways of Creating Threads
- 14.4
  Thread Synchronization
- 14.5
  Locks and Semaphores
- 14.6
  Thread Communication
Module 15: Data Operations using Python (PDBC)***
7
- 15.1
  Create a database
- 15.2
  Working with MySQL Database or Oracle Database
- 15.3
  Python Database connection
- 15.4
  PDBC Steps
- 15.5
  PDBC Modules & its Methods
- 15.6
  Create a tables
- 15.7
  CRUD operations – Create, Read, Update, Delete
Module 16: Regular Expressions
4
- 16.1
  Regular Expression Module
- 16.2
  Regular Expression Methods
- 16.3
  Quantifiers
- 16.4
  Special Characters
Module 17: Python Web Frameworks
4
- 17.1
  What is Framework?
- 17.2
  Full stack Framework
- 17.3
  Django Overview
- 17.4
  MVT Architecture of Django
Module 18: Django Web Application Development
5
- 18.1
  Introduction to Web development and Django
- 18.2
  Django & PyCharm IDE Installation and
- 18.3
  Development of First Web Application
- 18.4
  Working with PyCharm IDE
- 18.5
  Downloading, Installing, First-Project in IDE
Module 19: Django HTML
1
- 19.1
  Django Templates and Static Files
Module 20: Django Model classes (Database)
1
- 20.1
  Working with Models and Databases
Module 21: Django Forms & Validations
3
- 21.1
  Working with Django Forms
- 21.2
  Working with Django Model Forms
- 21.3
  Working with Advanced Template Features
Module 22: Django Sessions & User Auths
2
- 22.1
  Session Management
- 22.2
  User Authentication and Authorization
Module 23: Django CRUD Operations
1
- 23.1
  Class Based Views and CRUD Operations by using both CBVs and FBVs
Module 24: Django ORM (Object Relation Mapping)
2
- 24.1
  Django ORM (MYSQL Database or SQLite3 or Oracle DB)
- 24.2
  Working with Advanced Model Concepts
Module 25: Django Middleware & Live Project Development
3
- 25.1
  Working with Django Middleware
- 25.2
  Deployment of our application in the Live Environment
- 25.3
  Real Time Project: Web Application Development
Module 26: Django Admin and Views
4
- 26.1
  Overview of default Django Admin site
- 26.2
  Add models on Admin Page
- 26.3
  User Permissions and Groups
- 26.4
  Overview of Django Views
Module 27: HTML Crash Course
8
- 27.1
  Introduction to HTML
- 27.2
  HTML Tags
- 27.3
  HTML Lists
- 27.4
  Divs and Span
- 27.5
  Attributes
- 27.6
  HTML Tables
- 27.7
  HTML Forms
- 27.8
  Exercises
Module 28: CSS Crash Course
8
- 28.1
  Introduction to CSS
- 28.2
  CSS Colors
- 28.3
  CSS Backgrounds and Borders
- 28.4
  CSS Selectors
- 28.5
  CSS Specificity
- 28.6
  CSS Fonts
- 28.7
  CSS Box Model
- 28.8
  Exercises
Module 29: JavaScript Crash Course
8
- 29.1
  Introduction to JS
- 29.2
  Connecting JS
- 29.3
  Control Flow in JS
- 29.4
  While loop and for loop in JS
- 29.5
  Functions in JS
- 29.6
  Arrays in JS
- 29.7
  Objects in JS
- 29.8
  Exercises
Module 30: Bootstrap Crash Course
5
- 30.1
  Introduction to Bootstrap
- 30.2
  Buttons
- 30.3
  Forms
- 30.4
  Navbars
- 30.5
  Grids
Module 31: Data Analysis – Numpy (Datascience)
5
- 31.1
  Introduction to Numpy
- 31.2
  Numpy Arrays
- 31.3
  Numpy Array Indexing
- 31.4
  Numpy Operations
- 31.5
  Numpy Exercises
Module 32: Data Analysis – Pandas (Datascience)
8
- 32.1
  Introduction to Pandas
- 32.2
  Series
- 32.3
  Data Frames
- 32.4
  Missing data and Group By
- 32.5
  Merging Joining and Concatenation
- 32.6
  Operations
- 32.7
  Data Input and Output
- 32.8
  Pandas Exercises
Module 33: Data Visualization - Matplotlib (Datascience)
4
- 33.1
  Introduction to Data Visualization
- 33.2
  Introduction to Matplotlib
- 33.3
  Matplotlib plots Methods – Functional and Object Oriented
- 33.4
  Subplots
Module 34: Data science Scikit/ SciPy
1
- 34.1
  Working with Scikit or SciPy modules
Module 35: Projects
3
- 35.1
  Website Project using Python django Framework
- 35.2
  Deploying Python Django on Live Server on Internet
- 35.3
  (Live Website on Internet) www.yourwebsite.com

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