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Support projects can be managed by setting clear goals, establishing communication channels, providing training, monitoring progress, and addressing issues promptly.
Set clear goals and expectations for the support project
Establish effective communication channels for team members and stakeholders
Provide necessary training and resources to support team members
Monitor progress regularly and adjust strategies as need...
Use the merge function in pandas to combine multiple DataFrames based on a common column.
Use the merge function in pandas with the 'on' parameter to specify the common column to merge on.
Specify the type of join (inner, outer, left, right) using the 'how' parameter.
Example: df_merged = pd.merge(df1, df2, on='common_column', how='inner')
count is used to count the number of cells that contain numbers, while countA is used to count the number of cells that are not empty.
count is used with numerical values, while countA is used with any type of value
count excludes empty cells, while countA includes empty cells
countA can be used to count non-numeric values such as text or logical values
SumIf adds up values based on a condition, while countIF counts the number of cells that meet a condition.
SumIf is used to add up values in a range that meet a specific condition.
CountIF is used to count the number of cells in a range that meet a specific condition.
Example: =SUMIF(A1:A10, ">10") would add up all values in cells A1 to A10 that are greater than 10.
Example: =COUNTIF(B1:B10, "=Red") would count the nu...
Use the read_csv() function in pandas to read a csv file into a DataFrame.
Use pd.read_csv('file.csv') to read a csv file into a DataFrame
Specify additional parameters like delimiter, header, index_col if needed
Save the DataFrame to a variable for further data manipulation
Handle missing values in a dataFrame by imputing, dropping, or filling with specific values.
Use dropna() method to remove rows or columns with missing values
Use fillna() method to fill missing values with a specific value
Use interpolate() method to fill missing values by interpolation
I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.
count is used to count the number of cells that contain numbers, while countA is used to count the number of cells that are not empty.
count is used with numerical values, while countA is used with any type of value
count excludes empty cells, while countA includes empty cells
countA can be used to count non-numeric values such as text or logical values
SumIf adds up values based on a condition, while countIF counts the number of cells that meet a condition.
SumIf is used to add up values in a range that meet a specific condition.
CountIF is used to count the number of cells in a range that meet a specific condition.
Example: =SUMIF(A1:A10, ">10") would add up all values in cells A1 to A10 that are greater than 10.
Example: =COUNTIF(B1:B10, "=Red") would count the number ...
Use the read_csv() function in pandas to read a csv file into a DataFrame.
Use pd.read_csv('file.csv') to read a csv file into a DataFrame
Specify additional parameters like delimiter, header, index_col if needed
Save the DataFrame to a variable for further data manipulation
Handle missing values in a dataFrame by imputing, dropping, or filling with specific values.
Use dropna() method to remove rows or columns with missing values
Use fillna() method to fill missing values with a specific value
Use interpolate() method to fill missing values by interpolation
Use the merge function in pandas to combine multiple DataFrames based on a common column.
Use the merge function in pandas with the 'on' parameter to specify the common column to merge on.
Specify the type of join (inner, outer, left, right) using the 'how' parameter.
Example: df_merged = pd.merge(df1, df2, on='common_column', how='inner')
I appeared for an interview in Sep 2024, where I was asked the following questions.
I applied via Naukri.com and was interviewed before Nov 2022. There were 2 interview rounds.
Support projects can be managed by setting clear goals, establishing communication channels, providing training, monitoring progress, and addressing issues promptly.
Set clear goals and expectations for the support project
Establish effective communication channels for team members and stakeholders
Provide necessary training and resources to support team members
Monitor progress regularly and adjust strategies as needed
Add...
I applied via Naukri.com and was interviewed before Feb 2023. There was 1 interview round.
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I appeared for an interview before Jun 2016.
I appeared for an interview before Aug 2016.
I appeared for an interview before May 2016.
I applied via Internshala and was interviewed in Jun 2019. There were 4 interview rounds.
I want to work at Ambition Box because of its innovative work culture and opportunities for growth.
Innovative work culture
Opportunities for growth
Positive company reputation
I applied via Naukri.com and was interviewed in Jun 2019. There were 3 interview rounds.
I am a motivated and enthusiastic individual with a strong passion for learning and gaining practical experience in the field of [field].
I am currently pursuing a degree in [field] at [university].
I have completed internships at [company] and [company], where I gained valuable skills in [specific skills].
I am proficient in [programming languages/tools] and have experience in [relevant experience].
I am a quick learner a...
I plan to gain valuable experience and skills through this internship and use it as a stepping stone for my future career.
I plan to learn as much as possible during this internship and apply the knowledge in my future endeavors.
I aim to develop strong professional relationships and network with industry experts.
I intend to explore different areas within the company to gain a well-rounded understanding of the business.
I...
I appeared for an interview in Mar 2017.
To make the red fishes 98%, 50 fishes have to be removed from the aquarium.
Calculate 1% of 200 fishes to find the number of red fishes.
Subtract the number of red fishes from 200 to find the number of non-red fishes.
Calculate 2% of the total number of fishes to find the desired number of red fishes.
Subtract the desired number of red fishes from the current number of red fishes to find the number of fishes to be removed.
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