Title PDS IMP Analysis ( W20 – S24 ).pdf ✅

PDS IMP Analysis ( W20 – S24 ) :-) Unit-1 - Overview of Python & Data Structures :-) List Advantages of Python. S22 Explain the input function of python that demonstrates type casting. W22 Explain following string functions with suitable example. len, count, title, lower, upper, find, rfine, replace. S23 Is String a mutable data type? Also explain the string operations length, indexing and slicing in detail with an appropriate example. W21 Explain String Slicing in python with Example. S22 Explain Slicing rows and columns with example. W21 What do you mean by slicing operation in string of python? Write an example of slicing to fetch first name and last name from full name of person and display it. S21 Explain following data structures of python with suitable example. W22 1. String 2. List 3. Tuple 4. Dictionary List the different data structure used in python. Explain any three with example of each. W23 Explain different data structures available in pandas library. S24 Discuss characteristics of Set and Dictionary data structures in python. S24 Explain Dictionary in Python with example. W21

Unit-3 - Getting Your Hands Dirty With Data :-) Explain DataFrame in Pandas with example. S22 What is the use of following operations on Panda's Data Frames? Explain with a small example of each. W21 1. shape 2. tail() 3. describe() Demonstrate how to remove a row and a column from a dataframe with appropriate example code. S24 Explain how to deal with missing data in Pandas. S22 List the techniques to handle missing data. Explain various techniques with example. S21 What do you mean by missing values? Explain the different ways to handle the missing value with example. W21 Why it is important to find missing values from a dataset? Discuss different approaches to handle missing values with appropriate examples. S24 Explain imputation in detail with example. W20 Explain Groupby function in pandas with example. S22 How to read data from relational database? Briefly explain it. W21 Explain Web Scrapping with Example using Beautiful Soup library. S22 Explain HTML parsing using Beautiful soup. S23 What is HTML parsing? W21 Explain with example how to parse XML and HTML. W22 Explain Bag of Word model. S22 Explain a bag of words model in detail. W20 Elaborate a bag of word concept in detail. S23 With example explain the concept of bags of words model. W22 What kind data is analyzed with Bag of word model? Explain it with example. S21 List and explain any three Magic function. W21 What are the magic functions in Jupyter? Explain with example. W22 What is the use of magic function in python? Explain with the help of example. W23 Explain % matplotlib magic function. W22 What is the use of % matplotlib inline command? W23 List and explain different coding styles supported by python. W20 Compare and summarize four different coding styles supported by Python language. S21 Briefly discuss major coding styles supported by python programming language. S24 List and Explain different programming styles in python. S22
How to Obtain online graphics and multimedia. Explain with example. W22 What is the need of streaming the data? Explain data uploading and streaming data with example. S21 Explain sampling in terms of data science? W20 For what purpose sampling is used. Demonstrate random sampling with example. S21 Describe sampling along with its types in detail with suitable example. S23 Describe the three levels of flat-file dataset. Explain any two with the help of example. W23 What are the different ways to remove duplicate values from dataset? W21 Explain categorical variables in detail. W20 Write a short note on categorical variables. S24 What is Categorical Variables? Explain it with example. W21 What do you mean by categorical data? Explain with small example. W23 Describe date time transformation using datetime module. W20 How to format Date and Time in python. Explain it with example. W22 Write a small code to perform following operations on data: Slicing, Dicing, Concatenation, Transformation. W22 How XPath is useful for analysis of html data? Explain in brief. S21 Elaborate XPath in detail with relatable example. S23 Define stemming. Explain the concept of stemming with example. S21 Explain stemming in detail with relatable example. S23 Explain stemming and stop words removal operation in python. W22 Explain the process of Word Tokenization, Stemming and Stop word removal using nltk library with suitable example code. S24 Explain TF-IDF transformations. W20 Define term n-gram. Explain the TF-IDF techniques. S21 Write a short note on TF-IDF transformations. S24