Python for Data Science Lecture 16 || Special Class for Interview Preparation

Welcome to Lecture 16 of our Python for Data Science series! In this special class, we focus on preparing you for data science interviews. Whether you're a beginner or an experienced professional, this session will help you ace your interviews with confidence.
🧑‍💼 Interview Preparation: Learn essential tips and strategies for preparing for data science interviews, including what to expect and how to approach different types of questions.
🐍 Python Skills Review: Brush up on key Python concepts and techniques that are frequently tested in data science interviews.
📊 Technical Questions: Explore common technical questions related to data analysis, machine learning, and Python programming, with detailed explanations and solutions.
🔍 Coding Challenges: Practice solving real-world coding challenges and problems that you might encounter during your interview process.
💡 Soft Skills: Understand the importance of communication, problem-solving, and critical thinking skills in data science interviews.
🛠️ Hands-On Examples: Follow along with practical examples and exercises to enhance your interview preparation.
🔗 Resources and Tips: Access additional resources, sample questions, and tips to help you succeed in your data science interviews.
✨Lecture 16 Notes - www.theiscale....
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Prepare to impress your interviewers and land your dream data science job with the knowledge and confidence gained from this special class. Don’t forget to like, comment, and subscribe for more lectures and tutorials in our Python for Data Science series!
#Python #DataScience #InterviewPreparation #LearnPython #DataScienceLecture #PythonForDataScience #CodingInterview #TechInterviews #CareerTips #DataScienceJobs

[@kunaljoshi1676]

Ma'am please guide us how to find Data Analyst jobs? What things are required to do?

[@Skautod]

Mam please continue this series 🙏

[@harshop847]

a="sachin saxena"
b=a.upper()
print(b)
listing=[]
for i in a:
listing.append(i)
print(listing)

[@3mbabar]

Mam Excel aur Power bi ke liye bhi koi video banai...

[@anshikachaudhary8178]

Thank you very much mam

[@yashchaudhari5901]

Super python programming mam

[@PankajJat-sv5qn]

2
ages = [25, 42, 19, 34, 56, 22, 29]
ages_ascending = sorted(ages)
ages_descending = sorted(ages, reverse=True)
print("Sorted list in ascending order:", ages_ascending)
print("Sorted list in descending order:", ages_descending)
out'
Sorted list in ascending order: [19, 22, 25, 29, 34, 42, 56]
Sorted list in descending order: [56, 42, 34, 29, 25, 22, 19]

[@bhagvatshinde01]

ages = [23,56,24,8,96,35,45,2,89,65]
print(ages)
b = sorted(ages)
c = sorted(ages, reverse = True)
print(b)
print(c)

[@drona_gya]

num=[2,45,45,6334,46,43,48]
s=sorted(num)
print(s) #asc
print(s[::-1]) #desc
output= [2, 43, 45, 45, 46, 48, 6334]
[6334, 48, 46, 45, 45, 43, 2]

[@Zoroxthree]

numberpeople = int(input("Enter the number of people: "))
ages = [] # Create an empty list to store ages
for i in range(numberpeople):
age = int(input("Enter the age of person: "))
ages.append(age) # Append the age to the list
print(age)
if age < 18:
print("Child")
elif 18

[@shubhamfulzele5683]

question 2
ages = [14,36,25,78,61,45,17,64,28,33,15,99,11,32,55]
sort_asc = sorted(ages)
print("sorted ascending list is",sort_asc)
sort_des = sorted(ages, reverse = True)
print("sorted descending list is",sort_des)
output
sorted ascending list is [11, 14, 15, 17, 25, 28, 32, 33, 36, 45, 55, 61, 64, 78, 99]
sorted descending list is [99, 78, 64, 61, 55, 45, 36, 33, 32, 28, 25, 17, 15, 14, 11]

[@speaker187]

Notes cahiye

[@Zoroxthree]

num_students = int(input("number of students"))
course_credit = []
for i in range(num_students):
credits = int(input("enter number of credits").strip())
course_credit.append(credits)
if credits >= 12:
print("enrollment is full time")
else:
print("enrollment is part time")

[@RakhiJha-pc9vk]

Your screen is not clear that

[@ManishKumarSharma-pd2lo]

ma'am OTP nahi aa raha ha website par

[@shubhamfulzele5683]

question 1
variable = "i like to learn data science"
print(variable.upper())
print(variable.split())
s = "".join(variable)
print(s)
output
I LIKE TO LEARN DATA SCIENCE
['i', 'like', 'to', 'learn', 'data', 'science']
i like to learn data science

[@prashantrai-rf1bd]

question 1)
Code:
name='prashant'
# New list where we can split my string into character
Slist=[]
for i in name:
Slist.append(i)
FullList=" ".join(Slist)
print(name.upper())
print(Slist)
print(FullList)
Output:
['p', 'r', 'a', 's', 'h', 'a', 'n', 't']
p r a s h a n t
Quesion 2)
My code:my_list=[20,10,65,45,95,74,8,35,4]
my_list.sort()
print("Ordered list ascending order:", my_list)
my_list.sort(reverse=True)
print("Ordered list descending order:", my_list
Output:Ordered list ascending order: [4, 8, 10, 20, 35, 45, 65, 74, 95]
Ordered list descending order: [95, 74, 65, 45, 35, 20, 10, 8, 4]

[@PankajJat-sv5qn]

1 :::
str =("pankaj" "raj" "rahul")
st = str.upper()
sp = str.split(",")
print(st)
print(sp)
str =("pankaj hello world ")
r = ''.join(str)
print(r)
out
PANKAJRAJRAHUL
['pankajrajrahul']
pankaj hello world