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Syllabus:

PYTHON

1. LANGUAGE FUNDAMENTALS

• Introduction
• Features of Python
• Limitations of Python
• Flavors of Python
• Python Versions
• Identifiers
• Reserved Words
• DATA TYPES
• Base Conversions
• Slicing of Strings
• TYPE CASTING
• Fundamental Data Types vs Immutability
• Escape Characters
• Constants

2. OPERATORS

• Arithmetic Operators
• Relational Operators OR Comparison Operators
• Equality Operators
• Logical Operators
• Bitwise Oeprators
• Shift Operators
• Assignment operators
• Ternary Operator OR Conditional Operator
• Special operators
• Operator Precedence
• Mathematical Functions (math Module)
• Command Line Arguments
• Output Statements

3. FLOW CONTROL

• Conditional Statements
• Iterative Statements
• Transfer Statements
• Loops with else Block
• del Statement
• Difference between del and None

4. STRING DATA TYPE

• What is String?
• How to define multi-line String Literals?
• How to Access Characters of a String?
• Behaviour of Slice Operator
• Slice Operator Case Study
• Mathematical Operators for String
• len() in-built Function
• Checking Membership
• Comparison of Strings
• Removing Spaces from the String
• Finding Substrings
• Counting substring in the given String
• Replacing a String with another String
• Splitting of Strings
• Joining of Strings
• Changing Case of a String
• Checking Starting and Ending Part of the String
• To Check Type of Characters Present in a String
• Formatting the Strings
• Important Programs regarding String Concept
• Formatting the Strings

5. LIST DATA STRUCTURE

• Creation of List Objects
• Accessing Elements of List
• List vs Mutability
• Traversing the Elements of List
• Important Functions of List
• Using Mathematical Operators for List Objects
• Comparing List Objects
• Membership Operators
• clear() Function
• Nested Lists
• Nested List as Matrix
• List Comprehensions

6. TUPLE DATA STRUCTURE

• Tuple Creation
• Accessing Elements of Tuple
• Tuple vs Immutability
• Mathematical Operators for Tuple
• Important Functions of Tuple
• Tuple Packing and Unpacking
• Tuple Comprehension
• Differences between List and Tuple

7. SET DATA STRUCTURE

• Creation of Set Objects
• Important Functions of Set
• Mathematical Operations on the Set
• Membership Operators: (in, not in)
• Set Comprehension

8. DICTIONARY DATA STRUCTURE

• How to Create Dictionary?
• How to Access Data from the Dictionary?
• How to Update Dictionaries?
• How to Delete Elements from Dictionary?
• Important Functions of Dictionary
• Dictionary Comprehension

9. FUNCTIONS

• Built in Functions
• User Defined Functions
• Parameters
• Return Statement
• Returning Multiple Values from a Function
• Types of Arguments
• Case Study
• Types of Variables
• global Keyword
• Recursive Functions
• Anonymous Functions
• Normal Function
• Lambda Function
• filter() Function
• ap() Function
• reduce() Function
• Everything is an Object
• Function Aliasing
• Nested Functions

10. MODULES

• Renaming a Module at the time of import (Module Aliasing)
• from ... import
• Various Possibilties of import
• Member Aliasing
• Reloading a Module
• Finding Members of Module by using dir() Function
• The Special Variable __name__
• Working with math Module
• Working with random Module

11. PACKAGES

12. 100 PATTERN PROGRAMS

13. OOP’s Part – 1

• What is Class?
• How to define a Class?
• What is Object?
• What is Reference Variable?
• Self Variable
• Constructor Concept
• Differences between Methods and Constructors
• Types of Variables
• Where we can declare Instance Variables
• How to Access Instance Variables
• How to delete Instance Variable from the Object
• Static Variables
• Instance Variable vs Static Variable
• Various Places to declare Static Variables
• How to access Static Variables
• Where we can modify the Value of Static Variable
• How to Delete Static Variables of a Class
• Local Variables
• Types of Methods
• Setter and Getter Methods
• Passing Members of One Class to Another Class
• Inner Classes
• Garbage Collection
• How to enable and disable Garbage Collector in our Program
• Destructors
• How to find the Number of References of an Object

14. OOP’s Part – 2

• Inheritance
• IS-A vs HAS-A Relationship
• Composition vs Aggregation
• Types of Inheritance
• Method Resolution Order (MRO)
• Head Element vs Tail Terminology
• How to find Merge?
• Finding mro(P) by using C3 Algorithm
• super() Method
• How to Call Method of a Particular Super Class?
• Various Important Points about super()

15. OOP’s Part – 3

• Polymorphism
• Duck Typing Philosophy of Python
• Overloading
• Overriding

16. OOP’s Part – 4

• Abstract Method
• Abstract class
• Interface
• Concreate Class vs Abstract Class vs Inteface
• Public,Private and Protected Members
• __str__() Method
• Difference between str() and repr() Functions
• Small Banking Application

17. Exception Handling

• Syntax Errors
• Runtime Errors
• What is Exception
• Default Exception Handing in Python
• Python's Exception Hierarchy
• Customized Exception Handling by using try-except
• Control Flow in try-except
• How to Print Exception Information
• try with Multiple except Blocks
• Single except Block that can handle Multiple Exceptions
• Default except Block
• finally Block
• Control Flow in try-except-finally
• Nested try-except-finally Blocks
• Control Flow in nested try-except-finally
• else Block with try-except-finally
• Various possible Combinations of try-except-else-finally
• Types of Exceptions
• How to Define and Raise Customized Exceptions

18. File Handling

• Types of Files
• Opening a File
• Closing a File
• Various Properties of File Object
• Writing Data to Text Files
• Reading Character Data from Text Files
• The with Statement
• The seek() and tell() Methods
• How to check a particular File exists OR not
• Handling Binary Data
• Handling CSV Files
• Writing Data to CSV File
• Reading Data from CSV File
• Zipping and Unzipping Files
• To Create Zip File
• Working with Directories
• Running Other Programs from Python Program
• How to get Information about a File
• Pickling and Unpickling of Objects

19. Multi Threading

• Multi Tasking
• The ways of Creating Thread in Python
• Setting and Getting Name of a Thread
• Thread Identification Number (ident)
• enumerate() Function
• isAlive() Method
• join() Method
• Daemon Threads
• Default Nature
• Synchronization
• Synchronization By using Lock Concept
• Problem with Simple Lock
• Demo Program for Synchronization by using RLock
• Difference between Lock and RLock
• Synchronization by using Semaphore
• Bounded Semaphore
• Difference between Lock and Semaphore
• Inter Thread Communication
• Inter Thread Communication by using Event Objects
• Methods of Event Class
• Inter Thread Communication by using Condition Object
• Methods of Condition
• Case Study
• Inter Tread Communication by using Queue
• Important Methods of Queue
• Types of Queues
• Good Programming Practices with usage of Locks

20. Python Database Programming

• Storage Areas
• File Systems
• Databases
• Python Database Programming
• Working with Oracle Database
• Installing cx_Oracle
• How to Test Installation
• Working with MySQL Database
• Commonly used Commands in MySQL
• Driver/Connector Information
• How to Check Installation

21. Regular Expressions & Web Scraping

• Character Classes
• Pre defined Character Classes
• Qunatifiers
• Important Functions of Remodule
• Web Scraping by using Regular Expressions

22. Decorator Functions

• Decorator Chaining

23. Generator Functions

• Advantages of Generator Functions
• Generators vs Normal Collections wrt Performance
• Generators vs Normal Collections wrt Memory Utilization

24. Assertions

• Debugging Python Program by using assert Keyword
• Types of assert Statements
• Exception Handling vs Assertions

25. Python Logging

• Logging Levels
• How to implement Logging
• How to configure Log File in over writing Mode
• How to Format Log Messages
• How to add Timestamp in the Log Messages
• How to Change Date and Time Format
• How to write Python Program Exceptions to the Log File
• Problems with Root Logger
• Need of Our Own Customized Logger
• Advanced logging Module Features: Logger
• Logger with Configuration File
• Creation of Custom Logger
• How to Create seperate Log File based on Caller
• Advantages of Customized Logger