- Course Introduction 4
- Lecture1.1
- Lecture1.2
- Lecture1.320 min
- Lecture1.418 min

- Python Fundamentals 9
- Lecture2.119 min
- Quiz2.115 questions
- Lecture2.213 min
- Lecture2.309 min
- Quiz2.215 questions
- Lecture2.4
- Lecture2.521 min
- Lecture2.6
- Lecture2.723 min

- Data Handling 14
- Lecture3.130 min
- Quiz3.115 questions
- Lecture3.228 min
- Quiz3.215 questions
- Lecture3.310 min
- Lecture3.405 min
- Lecture3.509 min
- Quiz3.315 questions
- Lecture3.6
- Lecture3.727 min
- Lecture3.8
- Lecture3.923 min
- Lecture3.10
- Lecture3.1122 min

- Flow of Control 15
- Lecture4.103 min
- Lecture4.204 min
- Lecture4.308 min
- Lecture4.406 min
- Lecture4.511 min
- Quiz4.115 questions
- Lecture4.605 min
- Lecture4.709 min
- Quiz4.215 questions
- Lecture4.8
- Lecture4.9
- Lecture4.10
- Lecture4.11
- Lecture4.12
- Lecture4.13

- List Manipulation 12
- Lecture5.119 min
- Lecture5.208 min
- Quiz5.115 questions
- Lecture5.307 min
- Lecture5.419 min
- Quiz5.210 questions
- Lecture5.5
- Lecture5.6
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- Lecture5.9
- Lecture5.10

- Dictionaries 10
- Lecture6.108 min
- Lecture6.214 min
- Lecture6.304 min
- Quiz6.110 questions
- Lecture6.4
- Lecture6.5
- Lecture6.6
- Lecture6.7
- Lecture6.8
- Lecture6.9

- Functions 9
- Lecture7.118 min
- Lecture7.213 min
- Quiz7.110 questions
- Lecture7.3
- Lecture7.4
- Lecture7.5
- Lecture7.6
- Lecture7.7
- Lecture7.8

- Working with Files 4
- Lecture8.109 min
- Lecture8.207 min
- Lecture8.309 min
- Lecture8.4

- Numpy 8
- Lecture9.108 min
- Lecture9.214 min
- Lecture9.315 min
- Lecture9.408 min
- Lecture9.513 min
- Lecture9.618 min
- Lecture9.714 min
- Lecture9.809 min

- Introduction to Pandas 9
- Lecture10.112 min
- Lecture10.213 min
- Lecture10.311 min
- Lecture10.408 min
- Lecture10.517 min
- Lecture10.609 min
- Lecture10.720 min
- Lecture10.820 min
- Lecture10.9

- Pandas Intermediate 20
- Lecture11.120 min
- Lecture11.2
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- Lecture11.13
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- Lecture11.18
- Lecture11.19
- Lecture11.20

- Importing Financial Data from YFinance 12
- Lecture12.1
- Lecture12.2
- Lecture12.3
- Lecture12.4
- Lecture12.5
- Lecture12.6
- Lecture12.7
- Lecture12.8
- Quiz12.10 question
- Lecture12.9
- Lecture12.10
- Lecture12.11

- Data Visualization with Matplotlib and Seaborn 8
- Lecture13.1
- Lecture13.2
- Lecture13.3
- Lecture13.4
- Lecture13.5
- Lecture13.6
- Lecture13.7
- Lecture13.8

- Capstone Project Stock Market Data Analysis 1
- Lecture14.1

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## 9 Comments

Sir in question 5 in case of “in” function

“i in s” or” s in i” is giving same output. Whether they can be interchanged?

Hi Madhushri,

“i & s” both are variables that store same value

like we have i = “shiva” and s = “shiva” both holds the same value

so whether we say

i in sor

s in iboth will generate the same output

hello sir,

we have to take all the variables as either float or int or simply input.

can we take one variable as Float ,one as Int??

like in Q.3 can i take Principal as float

and rate as integer??

Hello Akshay,

Thank you for asking this question.

So basically the datatypes totally depend on the programmer and the need of the program.

It can vary from problem to problem and Programmer to Programmer Because the datatype means how you want to store your data so you can use it to solve the given problem.

As you have mentioned I have declared Principal as a float that’s because the principal amount can be in decimal points.

But you want to perform any type of mathematical operation on that data you must define the datatype instead of just taking it from the input function.

last 3 lines did not get?

actually m asking as u have taken principle as float, can rate of interest be taken as integer in the same programming/ question ?

i mean two different literals can be used at a time to solve the given problem ?

Yes if you have a large program that needs data of more than one type then you have to use more than one type of datatypes.

Yes, you have to use a number of datatypes when you are solving a large problem.

Yes, As I said it totally depends on the programmer and the type of the problem. What is the need of the program and how the programmer wants to store the Data.

If I want to perform some mathematical operations on the data then I’ll be storing it as an integer.

Talking about float type when you can not neglect the value after the decimal point

Like 1.25 Crores

Then I can’t ignore .25 because it means 25 lakhs which is quite a big amount.

So again It totally depends on the problem that you are solving and the programmer.