Python for Data Science Full Course Part 2 || 15+ Hours | 5+ Libraries
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- Опубликовано: 10 фев 2025
- Welcome to Part 2 of our comprehensive Python for Data Science course! In this installment, we dive even deeper into the world of data science with over 15 hours of in-depth tutorials, covering more than 5 essential Python libraries.
Python for Data Science Full Course Part 1 - • Python for Data Scienc...
In this Video
00:00 - Intro
05:10 - How To Download Notes
09:41 - Lecture No. 14 : List in Python Part 1
48:06 - Lecture No. 15 : List in Python Part 2
1:21:42 - Lecture No. 16 : Special Class
1:52:24 - Lecture No. 17 : Tuples in Python part 1
2:20:13 - Lecture No. 18 : Tuples in Python part 2
2:39:03 - Lecture No. 19 : Tuples in Python part 3
3:01:45 - Lecture No. 20 : Sets in Python Part 1
3:26:36 - Lecture No. 21 : Sets in Python Part 2
3:47:24 - Lecture No. 22 : Sets in Python Part 3
4:12:35 - Lecture No. 23 : Dictionary in Python part 1
4:34:50 - Lecture No. 24 : Dictionary in Python part 2
4:55:39 - Lecture No. 25 : Dictionary in Python part 3
5:11:33 - Lecture No. 26 : Dictionary in Python part 4
5:38:01 - Lecture No. 27 : Dictionary in Python part 5
5:54:11 - Lecture No. 28 : OOPS in Python part 1
6:29:20 - Lecture No. 29 : OOPS in Python part 2
6:57:03 - Lecture No. 30 : OOPS in Python part 3
Python Libraries : Numpy, Pandas , Matplotlib, Seaborn, Plotly
7:24:08 - Numpy Part 1
8:05:36 - Numpy Part 2
8:56:17 - Pandas Part 1
9:54:33 - Pandas Part 2
10:51:40 - Matplotlib part 1
11:46:08 - Matplotlib part 2
12:39:00 - Seaborn Part 1
13:26:09 - Seaborn Part 2
14:10:33 - Plotly
Special Project
15:04:37 - Zomato Data Exploration
✳️Download the Notes & Data Set - github.com/The...
📚 Course Content:
Advanced NumPy for numerical computations
Pandas for data manipulation and analysis
Matplotlib and Seaborn for data visualization
Scikit-learn for machine learning
Statsmodels for statistical modeling
💻 Hands-On Projects: Apply your knowledge with real-world projects that will help you master these libraries and gain practical experience.
🔍 Deep Dives: We’ll go beyond the basics, exploring advanced techniques and best practices in each library.
📊 Data Science Workflows: Learn how to efficiently combine these libraries to create powerful data science workflows.
🌟 Additional Resources: Access further resources and materials to enhance your learning experience.
✨Lecture 14 to 30 Notes - www.theiscale....
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Whether you're continuing from Part 1 or just starting out, this course is designed to elevate your data science skills and prepare you for real-world challenges. Don't forget to like, comment, and subscribe for updates on the next parts of this series!
#Python #DataScience #FullCourse #NumPy #Pandas #Matplotlib #Seaborn #ScikitLearn #Statsmodels #DataVisualization #MachineLearning #LearnPython #TechEducation #DataScienceProjects
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Adbhoot. Itne easy way me aapne itni difficult "Inheritance" coding ko samjhaya hai. Aap ka ek-2 chapter achche se learn or practice kiya hai.
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@@theiScale meri bat yad rkoo pyhthon dsa bna lo fatafat memory emangemnt key good edat scientits also sab lgtahai trees linkedilist array ok cloud upgrade kro ok sql basics prao par depth jao baky log jese bosscoder hai aur growdataskills site h ye log kese pra rae fer , 1 upgrade sql level 2 teach dw housing snowlfake best market as of now 3 teach flow cloud aso aadf to powerbi how bring data 4 complez big data when excel fail powerbi fail then? python yes 5 each scenario excel kab case powerbi case adf se powrbi kab kab snowflake case data lena kese wo btao and 1-2 amzaon s3 case ab sql cloud snowflake teeno ana chyee data le sko
@@theiScale chat gpt mdad kyu nahi le rai ho ap wahi animal add subract dhang bnao ye example deti string me email redudant domain hai unique kese kre how esnure that ye data science project dmains messed us fake v hai . atleast data accha uthao data sets acchy lo chatgpt se sab mil jaega liko good data sets liko wha pointers liko wha dsa ab sahi hai sql same cours eupgrade kro cloud poc do ssnowflake le lo ek s3 bucket ka ek azure data factory tumko data lena hai bas . sab bna bnaya h adhy jyda kam data enginer krt h pyspark se
ans. 40:49
data=[1,2,3,4,5,6,7,8,9,10]
rotated=data[5:]+data[:5]
print(rotated)
print(sum(data[7:]))
Ans to 12:37:48
we can use Box Plot to get the statistical summary.
It shows us the Quartiles, Median, it also shows us the existence of outliers in the dataset which points outside of the Whiskers.
maam thanku for being the most dedicated teacher. literally an amazing teacher
Thank you keep learning.....
When I started my learning journey at moonpreneur USA. I too started with python.. it's a great programming language for beginners. Once my concepts got cleared, I delved deeper into Java, C++.
Keep learning......
Dear Swati Maam,
I hope this message finds you well. Before moving forward to your class, I just wanted to take a moment to sincerely thank you for the incredible effort and dedication you put into teaching the Python course. Your ability to simplify complex concepts and make learning so engaging has truly inspired me.
Learning Python in such detail, and for free, is a privilege I deeply appreciate. Your generosity and passion for education have not only enhanced my knowledge but also motivated me to explore programming with newfound enthusiasm.
Thank you for being such a wonderful mentor and for making this opportunity accessible to learners like me. I am truly grateful for your time, energy, and expertise. Also, want to thanks all the team who is behind the scene.
Wishing you continued success in all your endeavors!
Warm regards,
[Akshat Singh]
Thank you for your Kind words glad you found it helpful! For details, reach out to us on WhatsApp - wa.me/917880113112 keep learning.....
Ai se likhwaya hai 😂
Your channel is just amazing! The way you explain things is so clear and easy to understand. Your one-shot videos are super helpful, and I really appreciate you sharing all this knowledge for free. You have a unique teaching style that makes learning enjoyable and effective. Thank you Swati ma'am for being such a great educator and making complicated topics feel so simple✨
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ans to 3:25:37
Qstn 1:
Tuples
(Dict and list are unhashable so it cannot be added to set}
Qstn 2:
option b : empty_set = set()
Keep learning, For more query contact wa.me/917880113112 Keep learning....
Thanks for this course 🎉.
You are welcome! I'm glad it's helpful to you! For more query you can contact on our whatsapp number- 7880113112
mam you are great and dedicated . your vedio is very understable.i learned vary more your vedio
Keep learning......
Ans to 10:27:26
for Adding new columns in Pandas Library
df["Column_Name"] = value to be inserted in the column ---> this will add the column at the end
to Add column in a specific index position:
df.insert(loc = "Index Location", column = "Column Name", value = "Value to be inserted in the column")
Nice mam you are doing hard work for students i appreciate you ❤️
Mam reply this comment
Thanks a lot
ans to 6:27:56
Qstn 1 :
Option B --> Classes are blueprints for creating objects
Qstn 2 :
Option B --> p = Person()
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1:11:36 answer
sentences = ["Hello, World!", "Python is awesome!", "I love coding!"]
single_string = ""
for sentence in sentences:
single_string = single_string + sentence + "
"
print(single_string)
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asn to 5:52:06
Qstn 1:
Option c. A Tuple [as list, dictionary, set are unhashable, so it cannot be a valid key in dict.]
Qstn 2:
Option C : dict.items()
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1:51:40
Ans 1
string = "Hello world! I love coding"
List_word = [ ]
Idx = [ ]
for i in range ( 0, len(string)) :
if(string [i] ==" " :
Idx.append(i)
List_word.append(string [0 : idx[0]])
for i in range (0,len(idx)-1):
St = string [idx[i] : idx[i+1]]
List_word.append(St)
List_word.append(string [idx[-1] : ] )
print (List_word)
for i in List_word :
print (i, sep=" ", end=" ")
keep learning
string = "Hello world! I love coding"
List_word = [ ]
Idx = [ ]
for i in range ( 0, len(string)) :
if(string [i] ==" ") :
Idx.append(i)
List_word.append(string [0 : Idx[0]])
for i in range (0,len(Idx)-1):
St = string [Idx[i] : Idx[i+1]]
List_word.append(St)
List_word.append(string [Idx[-1] : ] )
print (List_word)
for i in List_word :
print (i, sep=" ", end=" ")
This is Right answer Bro
thankyou g for sharing such a valuable technogogy with us i request u please share more vedio
sure, keep learning
Mam, which is the best for Data science and analytics: jupyter or vscode
Ans 1) swapping the two halves
num = int(len(numbers)/2)
half1 = numbers[ : num]
half2 = numbers[num : ]
new_list = half1+half2
print(new_list)
Ans 2
SumOfLastThree = 0
for val in data[-3 : ] :
SumOfLastThree += val
print(SumOfLastThree)
keep learning
# list sorting: home work-2
#a. creat a list named ages containing integers representing ages of individuals.
ages=[45,89,75,28,24,50,65,18]
print(ages)
#b. sort the list in asending order.
ages.sort()
print(ages)
#c sort the list in desending order
ages.reverse()
print(ages)
#d print the sorted list
print("The sorted list is ",ages)
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4:32:45 answer
product_details = {}
products = int(input("Enter the total number of Products:"))
for product in range(products):
product_ID = int(input(f"Enter the Product ID for Product {product+1}"))
product_name = input(f"Enter the Product Name for Product {product+1}")
product_details.update({product_ID : product_name})
print("The final dictionary containing all product IDs and names :")
print(product_details)
print(type(product_details))
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ans to 1:12:04
qstn no 1:
list1 = [[1,2], [3,4], [5,6]]
list2 = [[7,8], [9,10]]
list3 = list1 + list2
print(list3)
qstn no: 2
list4 = ['Hello, world!', 'Python is awesome', 'I love coding!']
for i in list4:
print(i)
Qstn no 3:
option a = [1,2,3,4,5]
qstn no4:
option b = 'helloworld'
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Data ------- refers to graphical representation of data.
1) Visualization, 2) Analysis, 3) Plotting, 4) Handling
Ans - 1)
Thank you second part par abhi pahle part ka 5 घंटा hi देखा hun
keep learning
number = [1,2,3,4,5,6,7,8,9,10]
a = number[:5]
print("the first five number is",a)
b = number[5:10]
print("the next five numer is",b)
print ("the reverse of the number is",[b,a])
c=sum(b[2:5])
print("the sum of last three element is",c)
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Thanks for providing this tutorial This is very useful for us.
thankyou
1:51:36
H.W.-1
sentence = "Hello world, I am learning Python!"
uppercase_sentence = sentence.upper()
words_list = uppercase_sentence.split()
words_list_uppercase = uppercase_sentence.split()
modified_sentence = ' '.join(words_list_uppercase)
print(modified_sentence)
words_list_original = sentence.split()
print(words_list_original)
H.W.-2
ages=[]
n=int(input("How many ages you like to enter?"))
for _ in range(n):
age=int(input("Enter the age:"))
ages.append(age)
ages_accending=sorted(ages)
ages_decending=sorted(ages,reverse=True)
print("Ages accending order:",ages_accending)
print("Ages decending order:",ages_decending)
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U guys are doing great work 👏🙏
Thank you 🙌
practice question :4:35
details ={}
no_entries = int(input("Enter the no of entries you want: "))
for i in range(1,no_entries+1):
key_id = int(input(f"Enter the product id {i}: "))
key_name = input(f"Enter the product name {key_id}: ")
details.update({key_id:key_name})
print(details)
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Plot which is used to given statistical summary is
a) Bar, b) Line, c) Histogram, d) Box Plot
And - d)
ans to 5:36:34
Qstn No1 : Option D -- > dict[key] = value
Qstn 2: Option A --> dict.keys()
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ans to 40:46
num = [1,2,3,4,5,6,7,8,9,10]
num1 = num[5:] + num[0:5]
print(num1)
sum_last_3 = sum(num[-3:])
print(sum_last_3)
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Ans to 6:55:55
Qstn 1 : Option A --> Compile-Time Polymorphism
Qstn 2 : Option B
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_____plots are used to visually access the uncertainity of a statistic.
a) Lag, b) Rad Viz, c) Bootstrap, d) None of the above
Ans - c
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Thank you very very much madam for part 2
keep learning
Ans to 12:31:55
we can use savefig() function for saving the plot
This is very valuable class.
thankyou
Which of the following plotly chart types is best for comparing multiple data series?
a) Line Chart, b) Bar Chart, c) Scatter Plot, d) Heatmap
Ans - b)
Line Chart (option a) is the best for comparing multiple data series, especially when the data is continuous.
thanks a lot for this tutorial..i am waiting for this.
You are welcome 😊
Which plotly graph is best to show trends over time?
a) line chart, b) bar chart, c) scatter plot, d) heatmap
Ans - a
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Which library is used to create statistical data?
a) Pandas, b) Numpy, c) Seaborn, d) Matplotlib
Ans - c)
Excellent!!!
thankyou
Which of the following is not a type of plot available in Seaborn?
a) Line Plot, b) Scatter Plot, c) Bar Plot, d) Tree Plot
Ans - d
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Lecture 14 (Practice Question 3)
Solution:
list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
length = int(len(list) / 2)
first_half = list[:length]
sec_half = list[length:]
# Swapping the list ...
swapped_list = sec_half + first_half
# Sum of 3 integers ...
print("Sum of Last 3 integers:", sum(list[-3:]))
print("Swapped List:", swapped_list)
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sol to 4:33:41
product_details = {}
for i in range(1,4):
product_id = int(input('Enter the Product Id: '))
product_name = input('Enter the Product Name: ')
product_details[product_id] = product_name
print(product_details)
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40:00 answer
list=[1,2,3,4,5,6,7,8,9,10]
print(list)
firstlist=list[-5:]
secondlist=list[:6]
print(firstlist+secondlist)
print(sum(list[7:]))
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list_number = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
mid = len(list_number)//2
swapped_list = list_number[mid:] +list_number[:mid]
print("swapped list:",swapped_list)
sum_last_three = sum(list_number[:-3])
print("Sum of list three elements:",sum_last_three)
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Ans -B - import matplotlib.pyplot as plt is the right answer.
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num_people=int(input("enter the no of people"))
ages = []
for i in range(num_people):
age=int(input("enter the age of the person"))
age.apend(ages)
print(ages)
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Product Inventory Using Dictionary Part 1.
Product_Dictionary = {}
How_Many_Products = int(input("How Many Products You Have? ="))
for i in range(How_Many_Products):
key = input("Enter Product Name")
value = int(input("Enter Product ID"))
Product_Dictionary[key]= value
print("Products in Dictionary = ", Product_Dictionary)
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You are great.
Thank you keep learning and growing.......
How can you save a matplotlib plot as an image file
a) Save(), b) Export(), c) Savefig(), d) Exportfig()
Ans - c) Savefig()
book_rating ={'python programming': 4.5, 'data science handbook' : 4.8, 'machine learning basics' : 4.2}
if 'python programming' in book_rating:
print("found")
else:
print("not found")
list_title = list(book_rating)
title_value =list(book_rating.values())
print(list_title)
print(title_value)
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Your lectures are soft tooooo
Thank you for your support! Explore our premium content for an enhanced learning experience. For details, reach out to us on WhatsApp - wa.me/917880113112
words=["hello, world!
", "python is awesome!
", "i love coding
"]
sentences=''.join(words)
print(sentence)
Output
hello, world!
python is awesome!
i love coding
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Mam, can you also make a python or in any other programming language series on developing software, website and apps ?
Thank you for your feedback we will work on that Keep learning......
Ans to 11:43:33
by default plot() function plots line chart
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01:27:44 Dont you think that this code is getting longer without any reason. We may get the same result typing the below code, or I am missing something , please clear
numofstudents=int(input("How many student are there"))
sum=[]
for i in range(numofstudents):
i=int(input("enter number or score"))
if i>12:
print("full time")
else:
print("part time")
sum.append(i)
print(sum)
You have any doubt in this time contact us on wa.me/917880113112
empty_list = list1[5:] + list1[:5]
print(empty_list)
print("sum of first three number of new list", sum(empty_list[:3]))
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list = [1,2,3,4,5,6,7,8,9,10]
list1 = [1, 2, 3, 4, 5]
list2 = [6, 7, 8, 9, 10]
list4 = list2 + list1
print(list4)
var5 = sum(list[:7])
print(var5)
output [6, 7, 8, 9, 10, 1, 2, 3, 4, 5]
28
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Ans to 14:32:00
Option A
It's great.....
thankyou
sentence = "This is an example sentence."
uppercase_sentence = sentence.upper()
words_list = uppercase_sentence.split()
modified_sentence = " ".join(words_list)
print(modified_sentence)
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str = input("enter your choice sentence here:")
print(str.upper())
list = str.split()
print(list)
new_list = " ".join(list)
print(new_list)
Bro aur bhi videos hai kyaa ya bus do hee the
@@vaidikvarma867 yahi 2 hai
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39:36 answer
list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
print(list)
list_divide = int(len(list)/2)
list1 = list[list_divide:]
print(list1)
list2 = list[:list_divide]
print(list2)
list3 = list1+list2
print(list3)
print(sum(list[-3:]))
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list = [1,2,3,4,5,6,7,8,9,10]
sum_last_elements = sum(list[7:])
print(sum_last_elements)
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Lecture 15 Practice question 4
sentences = ['Hello, world!', 'Python is awesome!', 'I love coding!']
result = "
".join(sentences)
print(result)
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Practice questions 1
Option no b is correct
Practice questions 2
Option no b is correct
Bro yeh apna pythonfordatascience ke liye itnee hee video the kyaa ek 10 hours ka aur ek 15 hours ka
Bus itnee hee the na
@@vaidikvarma867 ha bhai
@@rohitpandey5563 Matlab khaali 10 hours ke video ke baad 15 hrs ka dekhu aur bus na ??
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Q 1 ). B) option
Q 2) A) option
keep learning
Hello ma'am i cant access your free course of data analytics ,is there any technical error or what please maam allow us for free learning ,i really thanks nd appreciated for your efforts to teach us for free maam ,may god fulfill your all dreams...🎉😊
1:12:23
Ans 1 : b option
Ans 2 : b option
keep learning
Mam , please , try to provide the combined pdf of the whole lectures that would be more beneficial for us in the app or through any link
Thank you for your feedback We will work on that...
Lecture 17 practice Q2
Option C is correct way..
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Ye numpy vale me video hang kar rha hai kya sabka?
how to slice the three dimension array
Lecture 14- Practice Question 3
data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
second_half = data[-5:]
first_half = data[:5]
swap = second_half + first_half
print(swap)
sum_data = sum(data[-3:])
print(sum_data)
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Which function is used to create histogram in Seaborn library?
a) sns.lineplot, b)sns.scatterplot, c) sns.histplot, d) sns.barplot
Ans - c
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my_list=[1,2,3,4]
tup1=tuple(my_list)
print(tup1)
Option A is Correct Way.
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Which programmimg language can be used with plotly?
a) Python, R, Matlab, Javascript b) Python, Ruby, c++, c) Java, Scala, C, d) PHP, Python
Ans -a)
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# HOME WORK NO 1
list1=[[1,2], [3,4], [5,6]]
list2=[[7,8], [9,10]]
list3= list1+list2
print(list3)
Output
[[1, 2], [3, 4], [5, 6], [7, 8], [9, 10]]
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Hello, I think in part1 this is just python stuff and this too might
I hope there will Tutorial for Data Science and Machine Learning.
sure
2:18:56
Practice questions 1
Option no a
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Hello ma'm❤
I'm a Pakistani.
Thank you so much ma'am❤
I'm beginner but i Understood every thing whatever uh touch in both parts , and solved Question too, again thanks❤
Ma'am but how to download your notes, i mean download nhi hora mojh sa plz help.!!?
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@@theiScale thanks❤
3:00:34
practice questions 1
Option no b
Practice questions 2
Option 2
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aap bahot accha sikhate ho.lekinagar aap thoda zoom karke video banaye to accha hoga.
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Cute instructor
Keep learning......
Power bi data modeling per video bna do ❤️🙏🙏
Ok soon
7.26numpy,8.56panda,10.51 metaplotlib
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Dict.item() 5:52:35
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Matplotlibe is for 2D graph
keep learning
Mam day 14 me masking smjh nhi aaya
2:19:11
Option no c
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Superb work ma'm... after understanding & learning from this video... are we able to apply for a job as data scientists
Mam ne pura cover kra hai python data science ke liye????ye part 2 hai
Part 1 and part 2 dekhna sufficient rhega?
@@jyotitkrishna4810 for data science... No!
For data analysis... Yes! (Without ML)
(I watched whole with 2x speed, which was helpful)
For part 1, I haven't watched coz I knew too bases of python (like statement of condition, loop, etc)
@@abrkapoor3386 thanks:)
No, it's just 5% to 10% For more query contact wa.me/917880113112 Keep learning....
1:51:44 Homework Question - 2
age_list = [25, 18, 45, 68, 43, 38, 50]
age_list.sort()
age_list.sort(reverse=True)
print(age_list)
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age = [18,19,22,16,12,30,31,33,28,29,22]
age.sort()
print(age)
age.sort(reverse = True)
print(age)
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Hello Ji, Could you please make this in English too?
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Python arts student sikh skte hain mam ?
yes
@@theiScale mera maths kamjor hai
ruclips.net/video/L_OLifCqxCQ/видео.html
is video ko complete kriye aap, ye maths k liye hi bnaya gya video hai, aapko help milegi
Ans to 10:08:59
Uses of Pandas Library::
1. It is used to analyze, clean, explore and manipulate datasets and make the dataset readable.
2. It helps us to analyze Big Data and make conclusions about the dataset based on Stats. and theories.
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🎉🎉🎉❤❤❤
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ans to 3:01:17
qstn 1 = Option B
qstn 2 = Option B [as the variable 'l' has data type of list, the output will come in a 'square bracket']
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