– What is Python?
– Knowing the history of Python
– Unique features of the Python language
– Differences between Python 2 and Python 3
– Installation of Python and Environmental Setup
– First Python Program
– Python Identifiers
– Python Keywords
– Python Indentation
– Document and Comments Interlude in Python
– Command-line arguments
– Getting to know User Input -Python Basic Data Types
– What are the variables?

– Introduction
– Lists in Python
– Knowing more about Lists
– Understanding the Iterators
– Generators and Comprehensions
– Lambda Expressions
– Understanding and using the Ranges

– Knowing about the section in Python
– Python Dictionaries
– Understanding more Dictionaries
– Sets
– Python Sets Examples

– Reading Files -Writing text files
– Appending to Files and Challenge
– Manually writing the binary files
– Writing Binary files with Pickle

– Python user-defined functions -Python packages and functions
– Calling and Defining the function
– The anonymous Functions
– Statement and Loops in Python
– Python Packages & Modules

– Overview of OOP
– Creating Objects and Classes
– Accessing attributes
– Built-In Class Attributes
– Destroying Objects

– What is Exception?
– Handling the exception
– Try..except..else
– try-finally clause
– The argument of the Exception
– Standard Python Exceptions
– User-Defined Exceptions
– Raising an exceptions

– What is a regular expression? -Knowing match Function
– Understanding the search Function
– Searching Vs Matching
– Extended Regular Expressions
– Search and Replace function
– Wildcard

– Collections – named tuples, default dicts
– Breakpoints and Debugging
– Using IDEs
– Matching vs searching

-Web programming introduction
– Introduction to HTML
– Tags in HTML
– Basic HTML
– HTML Hyperlink
– HTML Forms
– CSS introduction
– CSS syntax
– CSS Display positioning
– CSS Floats

– Installation of Django
– Module settings
– Request and response
– Running the development server
– Introduction to Django Admin Site

– Introduction to Model
– Field Types
– Field Customization
– Making queries
– Asscessing the related objects
– Django migrations
– Raw SQL and search

– View Functions
– URLConfs
– Shortcuts and decorators
– Request and Response objects
– File upload
– Class based views
– Mixins
-Generating PDF and CSV

– Overview of the template language
– Built-in tags
– Built-in filters
– Humanization
– Custom tags
– Humanization
– Custom filters
-csrf token

– Introduction
– Forms API
– Validating Forms
– Built-In Fields
– Built-In Widgets
– Model form
– Form sets

– Types of vectors
– Internztionalization
– Localization
– Localizing UI
– Form Inputs
– Model Form
– Time Zone
– Form Sets

– Authentication
– Django Built-in authentications
– Customizing authentication
– Password management
– Logging
– Caching
– Sending email
– Syndication Feeds (RSS/Atom)
– Pagination
– Serialization
– Message Framework
– Sessions
– Site maps
– Signals
– Static file management
– Introduction to bootstrap framework

– Create Database
– Drop Database
– Connections
– Executing queries
– Transactions
– Handling Error

– Introduction
– DDL Commands
– DML Commands
– SQL statements, operators, clauses
– Aggregate functions

– Database maintenance through console-based programs
– Database maintenance through GUI based program

– Database schema
– Schema in use
– Types of database schema
– Table relationship

A: In a Python course, you will learn the fundamentals of the Python programming language, including variables, data types, control structures (loops, conditionals), functions, file handling, object-oriented programming (OOP) concepts, modules, and more. Advanced topics may include database connectivity, web scraping, GUI (Graphical User Interface) development, and working with external libraries.

A: Most Python courses do not have strict prerequisites. However, having a basic understanding of programming concepts and logic can be helpful. Familiarity with another programming language may also make it easier to grasp Python’s syntax and concepts.

A5: Yes, there are many online Python courses available. These courses offer the flexibility of self-paced learning and can be accessed from anywhere with an internet connection. Online platforms often provide video lectures, coding exercises, quizzes, and projects to facilitate learning.

A: Reputable Python courses often include hands-on coding exercises, programming assignments, and projects to provide practical experience. These activities allow you to apply the learned concepts, practice coding, and build real-world applications using Python.

A: When choosing a Python course, consider factors such as the course content, teaching methodology, hands-on practice, instructor expertise, course reviews, and cost. It’s important to select a course that aligns with your goals, learning style, and desired level of proficiency in Python programming.