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Faculty: Mr. N. Vijay Sunder Sagar (17+ Yrs of Exp,..)

Duration : 2 Months

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Syllabus:

PYTHON

1. Python Basics

• What is Python
• Why Python?
• History of python
• Applications of Python
• Features of Python
• Advantages of Python
• Versions of Python
• Installation of Python
• Flavors of Python
• Comparision b/w various programming languages C, Java and Python

2. Python Operations

• Python Modes of Execution
• Interactive mode of Execution
• Batch mode of Execution
• Python Editors and IDEs
• Python Data Types
• Python Constants
• Python Variables
• Comments in python
• Output Print(),function
• Input() Function :Accepting input
• Type Conversion
• Type(),Id() Functions
• Comments in Python
• Escape Sequences in Python
• Strings in Python
• String indices and slicing

3. Operators in Python

• Arithmetic Operators
• Comparision Operators
• Logical Operators
• Assignment Operators
• Short Hand Assignment Operators
• Bitwise Operators
• Membership Operators
• Identity Operators

4. Python IDE’s

• Pycharm IDE Installation
• Working with Pycharm
• Pycharm components
• Installing Anaconda
• What is Conda?
• Anaconda Prompt
• Anaconda Navigator
• Jupyter Notebook
• Jupyter Features
• Spyder IDE
• Spyder Featueres
• Conda and PIP

5. Flow Control statements

• Block/clause
• Indentation in Python
• Conditional Statements
  • if stmt
  • if…else statement
  • if…elif…statement

6. Looping Statements

• while loop,
• while … else,
• for loop
• Range() in for loop
• Nested for loop
• Break statememt
• Continue statement
• Pass statement

7. Strings in Python

• Creating Strings
• String indexing
• String slicing
• String Concatenation
• String Comparision
• String splitting and joining
• Finding Sub Strings
• String Case Change
• Split strings
• String methods

8. Collections in Python

• Introduction
• Lists
• Tuples
• Sets
• Dictionaries
• Operations on collections
• Functions for collections
• Methods of collection
• Nested collections
• Differences b/w list tuple and set and Dictionary

9. Python Lists

• List properties
• List Creation
• List indexing and slicing
• List Operations
• List addresses
• List functions
• Different ways of creating lists
• Nested Lists
• List modification
• List insertion and deletion
• List Methods

10. Python Tuples

• Tuple properties
• Tuple Creation
• Tuple indexing and slicing
• Different ways of creating tuples
• Tuple Operations
• Tuple Addresses
• Tuple Functions
• Nested Tuples
• Tuple Methods
• Differences b/w List and Tuple

11. Python Sets

• Set properties
• Set Creation
• Set Operations
• Set Functions
• Set Addresses
• Set Mathematical Operations
• Set Methods
• Insertion and Deletion operation

12. Python Dictionary

• Dictionary properties
• Dictionary Creation
• Dictionary Operations
• Dictionary Addresses
• Nested Dictionaries
• Dictionary Methods
• Insertion and Deletion of elements
• Differences b/w list tuple and set and Dictionary

13. Functions in Python

• Defining a function
• Calling a function
• Properties of Function
• Examples of Functions
• Categories of Functions
• Argument types
  • default arguments
  • non-default arguments
  • keyword arguments
  • non keyword arguments
• Variable Length Arguments
• Variables scope
• Call by value and Call by Reference
• Passing collections to function
• Local and Global variables
• Recursive Function
• Boolean Function
• Passing functions to function
• Anonymous or Lamda function
• Filter() and map() functions
• Reduce Function

14. Modules in Python

• What is a module?
• Different types of module
• Creating user defined module
• Setting path
• The import statement
• Normal Import
• From … Import
• Module Aliases
• Reloading a module
• Dir function
• Working with Standard modules -Math, Random, Date time and os modules,

15. Packages

• Introduction to packages
• Defining packages
• Importing from packages
• --init--.py file
• Defining sub packages
• Importing from sub packages

16. Errors and Exception Handling

• Types of errors
• Compile-Time Errors
• Run-Time Errors
• What is Exception?
• Need of Exception handling
• Predefined Exceptions
• Try,Except, finally blocks
• Nested blocks
• Handling Multiple Exceptions
• User defined Exceptions
• Raise statement

17. File Handling

• Introduction
• Types of Files in Python
• Opening a file
• Closing a file
• Writing data to files
• Tell( ) and seek( ) methods
• Reading a data from files
• Appending data to files
• With open stmt
• Various functions

18. OOPs Concepts

• OOPS Features
• Encapsulation
• Abstraction
• Class
• Object
• Static and non static variables
• Defining methods
• Diff b/w functions & methods
• Constructors
• Parameterized Constructors
• Built –in attributes
• Object Reference count
• Destructor
• Garbage Collection
• Inheritance
• Types of Inheritances
• Object class
• Polymorphism
• Over riding
• Super() statement

19. Regular Expressions

• What is regular expression?
• Special characters
• Forming regular expression
• Compiling regular expressions
• Grouping
• Findall() function
• Finditer() function
• Sub() function
• Match() function
• Search() function
• Matching vs searching
• Splitting a string
• Replacing text
• validations

20. Database Access

• Introduction
• Installing mysql database
• Creating database users,
• Installing Oracle Python modules
• Establishing connection with mysql
• Closing database connections
• Connection object
• Cursor object
• Executing SQL queries
• Retrieving data from Database.
• Using bind variables executing
• SQL queries
• Transaction Management
• Handling errors

21. Python Date and Time

• How to Use Date &DateTime Class
• Time and date Objects
• Calendar in Python
• The Time Module
• Python Calendar Module

22. Operating System Module

• Introduction
• getcwd
• listdir
• chdir
• mkdir
• rename file/dir
• remove file/dir
• rmtree()
• Os help
• Os operations

23. Advanced concepts

• Python Iterator
• Python Generator
• Python closure
• Python Decorators
• Web Scraping
• PIP
• Working with CSV files
• Working with XML files
• Working with JSON files
• Debugging

24. GUI Programming (tkinter)

• Introduction
• Components and events
• Root window
• Labels
• Fonts and colors
• Buttons, checkbox
• Label widget
• Message widget
• Text widget
• Radio button
• image

25. Excel Workbook

• Installing and working with Xlsx writer
• Creating Excel Work book
• Inserting into excel sheet
• Insetting data into multiple excel sheets
• Creating headers
• Installing and working with xlrd module
• Reading a specific cell or row or column
• Reading specific rows and columns

26. Data Analytics

• Introduction
• pandas module
• Numpy module
• Matplotlib module
• Working Examples

27. Introduction to Datascience

• Machine Learning Introduction
• Datasets
• Supervised /Unsupervised Learning
• Statistical Analysis
• Data Analysis
• Uni-variate/multi-variate analysis
• Corelation Analysis
• Algorithm types
• Applications

28. Python Pandas

• Introduction to Pandas
• Creating Pandas Series
• Creating Data Frames
• Pandas Data Frames from dictionaries
• Pandas Data Frames from list
• Pandas Data Frames from series
• Pandas Data Frames from CSV, Excel
• Pandas Data Frames from JSON
• Pandas Data Frames from Databases
• Pandas Data Functionality
• Pandas Timedelta
• Creating Data Frames from Timedelta
• Pandas Groupings and Aggregations
• Converting Data Frames from list
• Creating Functions
• Converting Different Formats
• Pandas and Matplotlib
• Pandas usecases

29. Python Numpy

• Introduction to Numpy
• Numpy Arrays
• Numpy Array Indexing
• 2-D and 3Dimensional Arrays
• Numpy Mathematical operations
• Numpy Flattening and reshaping
• Numpy Horizontal and Vertical Stack
• Numpy linespace and arrange
• Numpy asarray and Random numbers
• Numpy iterations and Transpose
• Numpy Array Manipulation
• Numpy and matplotlib
• Numpy Linear Algebra
• Numpy String Functions
• Numpy operations and usecases
• Numpy Working Examples

30. Python Matplotlib

• Introduction to matplotlib
• Installing matplotlib
• Generating graphs
• Normal plottings
• Generating Bargraphs
• Histograms
• Scatter plots
• Stack plots
• Pie plots
• Matplotlib working examples