PYTHON PROGRAMMING UNIT-V : Introduction to Data Science: Functional Programming, JSON and XML in Python, NumPy with Python, Pandas.

 

Sample Experiments:

1. Python program to check whether a JSON string contains complex object or not.
2. Python Program to demonstrate NumPy arrays creation using array () function.
3. Python program to demonstrate use of ndim, shape, size, dtype.
4. Python program to demonstrate basic slicing, integer and Boolean indexing.
5. Python program to find min, max, sum, cumulative sum of array
6. Create a dictionary with at least five keys and each key represent value as a list where this list contains at least ten values and convert this dictionary as a pandas data frame and explore the data through the data frame as follows:
7. Apply head () function to the pandas data frame
8. Perform various data selection operations on Data Frame

9. Select any two columns from the above data frame, and observe the change in one attribute with respect to other attribute with scatter and plot operations in matplotlib 

 Programs Click link

  Unit5 Programs

 

               PYTHON PROGRAMMING  UNIT-IV:

Files: Types of Files, Creating and Reading Text Data, File Methods to Read and Write Data, Reading and Writing Binary Files, Pickle Module, Reading and Writing CSV Files, Python os and os.path Modules.

File Programs Click link

Object-Oriented Programming: Classes and Objects, Creating Classes in Python, Creating Objects in Python, Constructor Method, Classes with Multiple Objects, Class Attributes Vs Data Attributes, Encapsulation, Inheritance, Polymorphism.

OOPS Programs Click Link

 

PYTHON PROGRAMMING UNIT3

Dictionary Data Structure link1 link2

PYTHON TUPLE and  SET link1

Tuple Notes link
Set Notes link