Python course with Machine Learning covers all the concepts necessary to be a good developer in the IT Industry.

Syllabus:

• Introduction to Python - technology -
• Python - why only python? -
  • where it is used in Industry -
  • Organization specific uses -
  • project specific uses
  • IT corporates - applications of python

• Python - Features of Python -
  • why it is used
  • advantages
  • kind of projects/applications -
  • Software Development Lifecycle (SDLC) -
  • where does python fit in in SDLC

• Python - comparision of other technologies wrt python
• Pythonâ??s Application in the following :
  • software development -
  • software testing) -
  • other areas of IT Industry
  • open source software vs. paid software -

• Versions of python software:
  • PYTHON - 2.7.15 â??(Industry Used mostly)
  • python - 3.6 â??
• Python tools/IDE â??
• What is an IDE,
• Advantages of IDE over shell
• Explanation of python shell (IDLE - default editor)
• comparision of python shell vs. IDE
• working from command prompt of python
• Pycharm - community edition
• Pycharm - professional edition

• Language fundamentals:
• Variables in Python
• Print statement
• Print statement with format
• Print statement with %
• Operations on python
  • -, +,-,*,/,%
• Python Operators and Operands
  • Is , is not
  • Other operators
• How do we Read the Input from the User:
• Input()
• raw_input()
• difference between input() and raw_input()
• when to use input() and raw_input() in python 2.7 and python 3.6
• Data types:
• int()
• numbers
• Strings
• Float
• Bool
• Type() function:
  • Examples on type()
• String Operations:
  • Operations using string Handling - "".format(), {}{}
  • Comments
  • Multiline comments
  • Documentation string
  • Special method (__doc__)

• break()
  • break with if statement
  • break with for statement
• continue()
• pass()
• when to use Break(), Continue and Pass
• Examples of break(), continue and pass
• Variable naming conventions

• Python Conditional Statements
• Simple if condition
• if with else condition
• multiple if conditions
• nested if conditions
• Examples of the conditional statements

• Python LOOPS -
  • for loop
  • for loop - complex examples
  • for loop with if
  • for loop with else
  • nested for loop
  • for loop with examples

• Python - While loop
  • while loop with if condition
  • while loop with else statement
  • While loop with examples

• String Handling methods
  • How to apply the string handling methods
  • Upper()
  • Lower()
  • Capitalize()
  • Title()
  • Isupper()
  • Islower()
  • Isspace()
  • Isalpha()
  • Isalnum()
  • Isspace()
  • Other methods
• example programs using string methods
• Slicing with strings
  • positive slicing
  • Negative slicing

Sequences or Collections in PYTHON

• Python Lists
  • applications of lists
  • examples of lists of various flavours
• Slicing
  • positive slicing
  • negative slicing
• Python TUPLE
  • applications of Tuples
  • examples of Tuples
  • Tuple Packing
  • Tuple Unpacking
  • various flavours
• Differences between Lists and Tuples

• Python Sets - done
  • operations on sets
  • applications of sets
  • examples using sets

• Python Dictionary - done
• operations on dictionary
• applications of dictionary
• examples using dictionary

• Python Functions
  • Functions with out return value
  • Functions with Return value
  • Calling functions from the same file
  • Calling functions from a different file

• Python - Various types of functions
  • functions with parameters
  • functions without parameters
  • functions with default arguments
  • functions with keyword arguments
  • functions with positional arguments

• local scope and global scope in functions
  • How to create global variables
  • How to create local variables
  • Examples of local and global variables using functions

End of Core/Basic module

Module #2

Advanced Python course syllabus:

Topic:1 :

Topic Name:

• Python OOPs : classes
• Objects
• how to create class
• how to create objects
• how to create properties
• how to create methods
• how to work with properties
• How to work with methods
• Difference between functions and methods

• What is Self keyword?
  • how to use self,
  • what does self keyword indicate?

• How to create multiple objects for the same class
  • manipulate the properties/methods
• How to know the memory location of an object reference.

Topic:2 - Constructors - done

• importance of self keyword in python constructors
• OOPs concepts (inheritance)
• use of default pre-defined classes,
• use of user-defined classes,
• pre-defined methods
• user-defined methods
• user-defined properties

Topic:3 - Modules (Pre-defined)

• Python Modules
• import keyword
• pre-defined modules:
  • webbrowser
  • sys
• math
• datetime
• date
• time
• various ways of importing modules
• import using * notation
• import using individual functions
• import using â??from â?? syntax
  • from *** import ***

Topic:4 â?? Modules( Userdefined )

• creation of user defined modules
• operations with each of the modules
• examples with each of the modules

Topic:5 -Packages in Python

• diff between packages and modules
• import package/module /sub-packages

Topic:6 - File Handling

• examples of how to create files
• how to open files in various modes
• how to work with files in real-time

• Extra chapter:

reading data from text file

reading data from excel file and manipulate in python

reading data from csv file and maniupulate in python

Topic:7 - python advanced exception handling -

• collection of types of exceptions
  • syntax error,
  • typeerror,
  • valueerror
  • Nameerror,
  • dividebyzero error

Topic:8: examples of types of exceptions

• how to handle types of exceptions
  • Try-Except- Finally
  • Try- Except-Else-Finally
• comparision of exception handling with other technologies (like java)

Topic:9 -Python Date and Time

• operations using date and time
• examples of programs using date and time
• datetime various switches

Topic:10 -Python OS Module - (linux people)

• Creation of directory
• Removing a directory
• Current directory
• Creation of multiple directories
• Removing of multiple directories
• Operations on directory

End of Advanced module:

Extratopics covered: 10 hours (extra)

• Numpy
• Pandas
• Matplotlib
• TKinter

Database connectivity with any database.