Gunjan Sachdeva

Python | Django | Pandas | Scrapy | Selenium | Mongo Db | Elastic Search | MySQL | Git | GitHub

[Gunjan Sachdeva @gsachdeva149]

@merishabh_singh I'm also interested. Looking forward to hearing from you.

[Gunjan Sachdeva @gsachdeva149]

Day 19 of #100DaysOfCode: Adding a new column to a Pandas DataFrame! 🐍To add a new column to an existing DataFrame in Pandas, you can assign values to a new column name
#Python #Pandas #100DaysOfCode #DataScience

[Gunjan Sachdeva @gsachdeva149]

🐍 Day 18:- Today I applied lambda functions to Pandas DataFrames! This is a powerful way to perform operations on data with minimal code.
Key Points: Efficiency, Flexibility, Readability
Pandas make data manipulation a breeze! Stay tuned for more Python tips! 🚀
#Python #Pandas

[Gunjan Sachdeva @gsachdeva149]

🐍 Python Pandas Tip: Index.value_counts()

Easily count occurrences in Pandas Index:

#Pandas #Pyton #DataScience #100DaysOfCode

[Gunjan Sachdeva @gsachdeva149]

Which of the following statements about Pandas's value_counts() function is true?
A. Only works with Df.
B. Setting normalize=True returns the counts of unique values.
C. Using bins parameter bins the values into equal-width intervals.

[Gunjan Sachdeva @gsachdeva149]

Day 16: Using value_counts() in Pandas
The value_counts() function returns a Series containing counts of unique values in descending order. The resulting Series will have the unique values as the index and the counts as the values.

#Pandas #Pyhton #DataScience #100DaysOfCode

[Gunjan Sachdeva @gsachdeva149]

@Python_Dv Option C) 23 because both are strings and when we concat str values it returns str value

[Gunjan Sachdeva @gsachdeva149]

Day 15 POST:- Using Pandas in Python, what does the df. sem() function calculate for a given df?

A) The sum of all elements in the df
B) The mean of all elements in the df
C) The standard deviation of all elements in the df
D) The standard error of the mean of elements in the df

[Gunjan Sachdeva @gsachdeva149]

Day 15 📊 Pandas data frame.sem(): Use df. sem() in Pandas to calculate the standard error of the mean! Great for understanding sample mean variability. Example:

#Python #Pandas #DataScience #100DaysOfCode

[Gunjan Sachdeva @gsachdeva149]

@Python_Dv Option B [1,5,3,[...]] in memory, the list contains a reference to itself.

[Gunjan Sachdeva @gsachdeva149]

Which of the following statements about MAD in Pandas is true?

A) Series. mad() calculates the median of the series.
B) MAD is a measure of central tendency.
C) MAD measures the average deviation of data points from the mean.
D) MAD is computed using Series. mean() in Pandas.

[Gunjan Sachdeva @gsachdeva149]

Day 14: 🐍📊 #Python #Pandas Tip!

Use Series. mad() to quickly calculate your data's Mean Absolute Deviation (MAD). It's a measure of dispersion, indicating how spread out values are.

#Pandas #Python #100DaysOfCode #DataScience

[Gunjan Sachdeva @gsachdeva149]

🚀#100DaysOfCode:Day 13

What does the DataFrame.mad() method in Pandas do?
A)The mean of all values in the df.
B) The median absolute deviation of values in the df.
C) The mean absolute deviation of values in the df.
D) The maximum absolute deviation of values in the df.

[Gunjan Sachdeva @gsachdeva149]

🚀 Day 13 of #100DaysOfCode: Exploring Pandas!

Today I learned about DataFrame.mad(), which calculates the Mean Absolute Deviation (MAD) of values.

MAD measures the average absolute deviation from the mean. Great for understanding variability! #Python #DataScience #Pandas

[Gunjan Sachdeva @gsachdeva149]

@Python_Dv Option B i.e 333333 because x is a string, and multiplying a string by an integer n repeats the string n times.

[Gunjan Sachdeva @gsachdeva149]

🚀 #100DaysOfCode: Day 12

🔍 Pandas Challenge: Can you guess the right option type?

How can you calculate the mean across rows instead of columns using the Pandas mean() method?

a) df. mean(axis=0)
b) df. mean(axis=1)
c) df. mean(skipna=False)
d) df. mean(level=0)

[Gunjan Sachdeva @gsachdeva149]

🚀 #100DaysOfCode: Day 12
I am diving deeper into data analysis with Pandas! Today’s focus: the mean() method. 🐼
Pandas's mean() method is a quick way to calculate the average of your DataFrame columns. Here’s a breakdown:

#Python #DataScience #MachineLearning #Coding #Pandas

[Gunjan Sachdeva @gsachdeva149]

Hey everyone! 👋
I'm looking to #connect with people who are #interested in:
Python 🐍
Pandas 📊
Data Science/ML 🤖
Django 🌐
Web Development 💻
Software Development 🛠️
Backend ⚙️
Frontend 🎨
Full Stack 🌟
#letsconnect #connect #Python #DataScience

[Gunjan Sachdeva @gsachdeva149]

@Python_Dv Option C

[Gunjan Sachdeva @gsachdeva149]

Which of the following commands will output the sum of the Sales column and the maximum value of the Quantity column?
A)df.aggregate({'Sales': 'sum', 'Quantity': 'max'})
B)df.aggregate(['sum', 'max'])
C)df.aggregate({'Sales': 'max', 'Quantity': 'sum'})
#Pandas #Python