Introduction:
- Five W’s of Python (What,When,Who,Where,Why)
- Zen of Python
- Application of python
- Features of Python
- Pros and Cons
- Interoperability and Developer Community
- Code Environment & Folder Structure
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Basic Syntax:
- Interpreter Vs Scripting
- Indentation, Whitespace, Lines
- Basic Output
- Basic Input
- Naming Paradigm
- Keywords
- Comments, Quotations
- Single Line Vs Groups
- Command Line Arguments
- Operands & Memory
- Types
- Creating Data variable and Memory
- Memory associated with Types
- Deleting Data Variable and Memory
- How Python Stores a Variable in Memory
- Manipulation of Data variable
- Comparison of Types
- When,Where,What and How to use data variable
- Important Type conversion functions
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Pros and Cons of each Type Operators:
- Types of Operators [ Arithmetic ]
- Types of Operators [ Logical ]
- Type of Operators [ Comparison ]
- Types of Operators [ Bitwise ]
- Python Special Operators [Membership and Identity]
- Order of Precedence on Operators
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Minimisation of Logic Using Operator Decision Statements:
- “IF” statement basics
- Computational resource Spent on a “IF”
- Multi-form of “IF”
- Fusing “IF” with other elements
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Looping:
- What and Where to use Loops
- Types of Loops
- Computational resource needed for each type of Loops
- Different Types of Loops Basics and Syntax
- Real world scenario for each loop types
- Multi- Form of Loops
- Fusing “Loops” with other elements
- Loop manipulation and Controls
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Control Statements Usage Strings:
- Python Strings Vs Other Strings
- Creating, Deleting String and Memory
- Memory Associated with strings
- Strings Vs Array
- Accessing Stings
- Manipulation of Strings
- String with Operators
- Escape Characters
- Formatting Operator
- Multi-Line String
- Encoding of String in Python
- Important Function for String Manipulation
- Guardrails for String Usage
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Data Structure:
- Types of Data Structures
- List vs Tuples vs Dictionaries
- Where and When to use an data structure
- Memory associated with the Data Structure
- CRUD – Create, Read, Update, Delete of Data Structure
- Data Structures with Operators
- Built-in important function Data Structure manipulation
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Guard rails for Data Structure Functions or Methods:
- Why Function
- Syntax for Function
- Return for Function
- Accessing a Function
- Functions with arguments
- Lambda Functions [Abstract]
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Scope of Variables Modules and Package:
- What are Modules
- When to use module and function
- Creating and Accessing Modules
- Import Statement
- Built-in Modules
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Packages Input and Output:
- Advanced output and Input
- What are Files
- Opening and Closing files
- Methods of Accessing Files
- File Object manipulation
- Read and Write functions
- What is File Pointer
- File pointer position [ Seek,Tell]
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Renaming and Deleting Files Exception Handling:
- What is Error
- How to Debug in Python
- Different types of Errors
- What is Exception
- Handling Exception [ Except, Try,Finally]
- User-Defined Exceptions
- Advantages of Exception
- Real world scenario of Exception
- Why Exception Handling is the most important part of development
- Guardrails for Exception Handling
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Programming Paradigm in Python:
- Types of Paradigm in Python [Object-oriented, imperative, functional, procedural, reflective]
- Think outside the Box of OOP’s using Python
- Object-oriented vs Imperative vs Functional vs Procedural vs Reflective
- Object-oriented briefing and usage
- Imperative briefing and usage
- Procedural briefing and usage
- Functional briefing and usage
- Reflective briefing and usage
- When to use which Paradigm
- Real World Examples of Paradigm
- Guardrails of Paradigm Networking in Python
- Networking basics
- Association with Python
- Socket Connection
- Protocol Usage with Built-in Function
- Why mostly your Python Script Cannot Communicate over Internet
- Framework on Networking for Python [ Twisted ]
- Real world Application of Python Networking
- Guardrails of Python Networking
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Multi Threading:
- What is Multithreading
- How Python Multi Thread
- Python Multi Thread vs Real Multi Thread
- Threads
- Built-In Modules for Threads
- Synchronising
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Multithreaded Priority Queue Ancillary application:
- Python data and Time
- Python Regular Expression
- Python Image Processing
- Python XML Parser [ Beautiful Soup ]
- Python GUI Programming
- Django
- Numpy
- Scipy
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MatplotlibVersions of Python:
- Python 2.7 vs 3.0
- Change Log
- What to Use
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Community and Developers:
- How to install a Package
- Python Package Index
- Pip
- Virtualenv
- Python Package Index
- FreezePython Application, Breaking Stereotypes
- Internet Application [ Django ]
- File Server
- Image Manipulation
- Speech to Text
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