Python Training

CORE PYTHON

1) Introduction to Python

• Features of Python
• The Python Virtual Machine (PVM)

2) Basic Syntax of Python

• Python Identifiers
• Reserved Words
• Multi-Line Statements
• Quotation in Python
• Comments in Python
• Waiting for the User
• Multiple Statements on a Single Line
• Multiple Statement Groups as Suites

3) Variables and Data Types

• Assigning Values to Variables
• Multiple Assignment
• Standard Data Types
• Python Numbers
• bool Datatype
• Sequences in Python
  1. str
  2. bytes
  3. bytearray
  4. list
  5. tuple
  6. range
• Python Dictionary
• Data Type Conversion

4) Basic Operators

• Types of Operators
  1. Arithmetic Operators
  2. Comparison (Relational) Operators
  3. Assignment Operators
  4. Logical Operators
  5. Membership Operators
  6. Identity Operators
• Arithmetic Operators
  1. Addition Operator
  2. Subtraction Operator
  3. Multiplication Operator
  4. Division Operator
  5. Modulus Operator
  6. Exponent Operator
  7. Floor Division Operator
• Comparison (Relational) Operators
  1. equal to
  2. not equal to
  3. greater than
  4. less than
  5. greater than or equal to
  6. less than or equal to
• Assignment Operators
  1. Assigns
  2. Add AND
  3. Subtract AND
  4. Multiply AND
• Logical Operators
  1. Logical AND
  2. Logical OR
  3. Logical NOT
• Membership Operators
  1. in
  2. not in
• Identity Operator
  1. is
  2. is not

5) Decision Making

• if
• if-else
• elif
• Nested IF
• Single Statement Suites

6) Loops

• while loop
• Using else Statement with Loops
• The Infinite Loop
• Single Statement Suites
• for loop
• The range() function
• Repeatedly by Sequence Index
• Nested loops
• Loop Control Statements
  1. continue statement
  2. break statement

7) Functions

• Defining a functions
• Calling a function
• Calling a function with parameters
• Keyword Arguments
• Default Argument Values
• How to use *args and **kwargs(Keyword Arguments) in Python
• Using *args and **kwargs when calling a function
• Returning a Value
• Named parameters
• Anonymous Functions or Lambdas
• Using Lambdas with filter, map and reduce functions
• Using main() as a function

8) Modules

• The import statement
• Creating Module and importing it in different ways
• Importing Modules
• Import module by renaming
• Import module by assign it into a local name
• Importing names from a module directly into the program
• Import all names(defintions) from a module
• Python Module Search Path
• The dir() function
• The reload() function

9) Strings

• Creating a String
• Escape Characters
• Accessing Values in Strings
• Accepting String values at runtime
• Updating Strings
• Comparing Strings
• String Special Operators
• String Formatting Operators
• Built-in String Methods
• Searching element in a String

10) Lists

• Defining a List
• Creating List using range() function
• Access, Update, Delete elements in a list
• Nested List
• Negative indexing
• Basic List Operations
• Built-in List Functions & Methods
• Aliasing and Cloning Lists
• Finding Common Elements in Two Lists

11) Tuples

• Defining a Tuple
• Access, Update, Delete values in Tuples
• Basic Tuple Operations
• Built-in Tuple Functions

12) Dictionary

• Defining a Dictionary
• Access, Update, Delete values in Dictionaries
• Properties of Dictionary Keys
• Built-in Dictionary Functions & Methods

13) Python Numbers

• Mathematical Functions
• Random Number Functions

14) Python Sets

• Create, Modify, Remove elements from a Set
• Set Operations

15) Arrays

• Creating an Array
• Array Module
• Creating an array from another array
• Indexing and Slicing on Arrays
• Array Methods
• Working with Arrays using numpy
  1. Creating arrays using different numpy methods
  2. Viewing and Copying Arrays
  3. Dimensions of Arrays

16) Date & Time

• Using Time Module
• Getting current time
• Getting formatted time
• Getting calendar for a month
• Time module methods

17) Exceptions

• Exception Definition
• List of Python Exceptions
• Handling an Exception
  1. The except clause with no Python exceptions
  2. The except clause with multiple exceptions
  3. The try-finally clause
• Argument of an Exception
• Raising a Python exception
• User-Defined Exceptions

ADVANCED PYTHON

18) Files I/O

• Types of Files in Python
• Text Files
• Binary Files
• Open, Close, Read, Write a file
• Appending text in a file
• Working with Text Files Containing String
• Another way to read a file is to call a certain number of characters
• Knowing Whether a File Exists or Not
• Working with Binary Files
• The with Statement
• Pickle and Unpickle in Python
• The seek() and tell() Methods
• Random Accessing of Binary Files
• Converting String literal to Binary format
• Search for a particular record in the binary file.
• Zipping and Unzipping Files
• File flush() Method
• File next() Method
• Working with Directories

19) Classes and Objects

• Creating a Class
• The self variable
• Constructor
• Types of Variables
  1. Instance Variable
  2. Class/Static Variable
• Types of Methods
  1. Instance Methods
  2. Class Methods
  3. Static Methods
• Passing Members of One Class to Another Class
• Inner Classes

20) Inheritance and Polymorphism

• Python Inheritance Syntax
• Checking if a class is subclass of another class
• Overriding Super Class Constructors and Methods
• The super() Method
• Types of Inheritance
  1. Single Inheritance
  2. Multiple Inheritance
• Problems in Multiple Inheritance
• Method Resolution Order (MRO)
• Polymorphism
  1. with inbuilt polymorphic functions
  2. with user defined polymorphic functions
  3. with class methods
• Method Overloading
• Method Overriding
• Operator Overloading
• Overloading binary + operator
• Overloading different types of operators
• Magic Methods

21) Abstract classes and Interfaces

• Abstract Method and Abstract Class
• Interfaces in Python

22) Regular Expressions in Python

• What are Regular Expressions
• Regular Expression Methods
  1. search()
  2. findall()
  3. match()
  4. split()
  5. sub()
• Sequence Characters in Regular Expressions
• Quantifiers in Regular Expressions
• Special Characters in Regular Expressions
• Using Regular Expressions on Files
• Retrieving Information from a HTML File

23) Data Structures in Python

• Linked Lists
• Stacks
• Queues
• Deques

24) Threads

• Single Tasking vs Multi Tasking
• Uses of Threads
• Creating Threads
  1. without using a class
  2. by creating a sub class to Thread class
  3. without creating a sub class to Thread class
• Thread Class Methods
• Single tasking using a Thread
• Multitasking using Multiple Threads
• Thread Synchronization
  1. Using Locks
  2. Using Sempahores
• Deadlock of Threads
• Avoiding Deadlocks
• Communication between Threads
  1. using notify() and wait() methods
  2. using a Queue
• Daemon Threads

25) Graphical User Interface

• GUI in Python
• The Root window
• Fonts and Colors
• Working with Containers
  1. Canvas
  2. Frame
• Layout Managers
  1. Pack Layout Manager
  2. Grid Layout Manager
  3. Place Layout Manager
• Widgets
  1. Button
  2. Label
  3. Message
  4. Text
  5. Scrollbar
  6. Checkbutton
  7. Radiobutton
  8. Entry
  9. Spinbox
  10. Listbox
  11. Menu

26) Networking in Python

• Network
• Sockets
• Knowing IP address
• Uniform Resource Locator (URL)
• Reading the Source Code of a Web Page
• Downloading a Web Page from Internet
• Downloading an Image from Internet
• TCP/IP Server
• User Datagram Protocol (UDP)
• UDP Server
• UDP Client
• File Server
• File Client
• Sending a simple mail

27) Database Connectivity

• DBMS and its advantages
• Installing MySQL Database
• Setting the Path to MySQL Server
• Working with MySQL Database
• Using MySQL from Python
  1. Retrieving All Rows from a Table
  2. Inserting Rows into a Table
  3. Deleting Rows from a Table
  4. Updating Rows in a Table
• Creating Database Tables through Python
• Creating a GUI to retrieve a row from a MySQL Database

Course Fee: ₹ 8000 Duration: 50 DAYS