Ryshith Doyle > Quotes

“Break statement is used to unconditionally terminate the execution of a loop and come out of it.”
― Ryshith Doyle, Python Programming For Beginners And Python For Data Analysis: Master the Basics of Data Analysis in Python Using Numpy & Pandas Answers all your Questions ... Beginners: A Friendly Q & A Guide Book 4)

“a) =​Assigns values from right side operands to left side operand ​>>>a=2 Variable a takes the value 2 b) +=​Adds values on either side of the operator and assign the result to left operand >>>a=2 >>>a+=1 >>>print(a) 3”
― Ryshith Doyle, Python Programming For Beginners And Python For Data Analysis: Master the Basics of Data Analysis in Python Using Numpy & Pandas Answers all your Questions ... Beginners: A Friendly Q & A Guide Book 4)

“>>>print(b) a is less than 10”
― Ryshith Doyle, Python Programming For Beginners And Python For Data Analysis: Master the Basics of Data Analysis in Python Using Numpy & Pandas Answers all your Questions ... Beginners: A Friendly Q & A Guide Book 4)

“In script mode, we type Python program in a file and save them with file extension of .py and then use the interpreter to execute the contents from the file. Script mode helps us reuse the saved set of command anytime we require.”
― Ryshith Doyle, Python Programming For Beginners And Python For Data Analysis: Master the Basics of Data Analysis in Python Using Numpy & Pandas Answers all your Questions ... Beginners: A Friendly Q & A Guide Book 4)

“b) Syntax for if statement:”
― Ryshith Doyle, Python Programming For Beginners And Python For Data Analysis: Master the Basics of Data Analysis in Python Using Numpy & Pandas Answers all your Questions ... Beginners: A Friendly Q & A Guide Book 4)

“Continue statement is used to skip the current execution and return to the next iteration value of the loop. b)     Example: Program to break out of the for loop if x becomes 5”
― Ryshith Doyle, Python Programming For Beginners And Python For Data Analysis: Master the Basics of Data Analysis in Python Using Numpy & Pandas Answers all your Questions ... Beginners: A Friendly Q & A Guide Book 4)

“Advanced Data Analysis: It supports advanced data analysis and ‘Big Data’ handling. Python decimal data type supports precision to 17 digits. That is precisely 0.00000000000000001”
― Ryshith Doyle, Python Programming For Beginners And Python For Data Analysis: Master the Basics of Data Analysis in Python Using Numpy & Pandas Answers all your Questions ... Beginners: A Friendly Q & A Guide Book 4)

“Code: import pandas as pd print('-------PRICE LIST OF THREE PRODUCTS BASED OF SIZE-------') price=pd.DataFrame( {"Large":[75,200,55],"Medium":[50,120,30] }, index=['Ice Cream','Pizza','Coke'] )”
― Ryshith Doyle, PYTHON FOR DATA ANALYSIS: Master the Basics of Data Analysis in Python Using Numpy & Pandas: Answers all your Questions Step-by-Step

“A mutable data type is one whose value may change in place, whereas in an immutable data type change of value will not happen in place. Modifying an immutable variable will rebuild the same variable.”
― Ryshith Doyle, Python Programming For Beginners And Python For Data Analysis: Master the Basics of Data Analysis in Python Using Numpy & Pandas Answers all your Questions ... Beginners: A Friendly Q & A Guide Book 4)

“d) Example using if else statement: >>>a=9 >>>if(a<10): >>> b="a is less than 10" >>>else: >>> b="a is greater than 10”
― Ryshith Doyle, Python Programming For Beginners And Python For Data Analysis: Master the Basics of Data Analysis in Python Using Numpy & Pandas Answers all your Questions ... Beginners: A Friendly Q & A Guide Book 4)

“10. What are nested loops? Ans: a) A loop that contains another loop is called a nested loop.”
― Ryshith Doyle, Python Programming For Beginners And Python For Data Analysis: Master the Basics of Data Analysis in Python Using Numpy & Pandas Answers all your Questions ... Beginners: A Friendly Q & A Guide Book 4)