Get ready for your Python data science interview with these essential interview questions. Learn the most important concepts and techniques in data science.
but not so good at things that were completely new. I started my experiments by asking ChatGPT to write me a function in python to geolocate a phone number. ChatGPT 3.5 did a relatively poor job of this, so I tried again using the playground and gpt-3.5-turbo. This time it was more...
Mainly because Python is an interpreted language and there isn't really any need of having types. In a compiled language, the data type of each value must be known. Variables go on the stack in a compiled language. After putting a value on the stack, the stack pointer is offset...
Chief among these is the academic community, which has been split between those who do Big Data, and those who wait for the research to be published. Practical implications – This paper provides strategic insights and practical thinking that have influenced some of the world's leading ...
Project Name: Geeksforgeeks Data analysis Scrape the Geeksforgeeks youtube channel videos of the past 6 months' dataset Tasks & Questions: Number of videos in the past 6 months from the start date. Must mention the dates in the solution. Create a pandas data frame with columns name as vid...
1.1Built-in Markers 1.2Custom Markers 2Markers in Line Plot 3Customize Marker Size 4Marker Mapping Marker Types Built-in Markers Seaborn supports a wide array of built-in markers. Code: import seaborn as sns import matplotlib.pyplot as plt ...
First, we generate sample data representing different customers, their chosen plan types, and their respective data usage in GB. We then create a DataFrame from this sample data. A pivot table is created using this DataFrame, calculating the average data usage for each plan type. ...
Matrix Maximum size rectangle https://practice.geeksforgeeks.org/problems/max-rectangle/1 Matrix Find a specific pair in matrix <-> Matrix Rotate matrix by 90 degrees <-> Matrix Kth smallest element in a row-cpumn wise sorted matrix <-> ...
Python Image source: GeeksforGeeks # using get_dummies on education columnencoded = pd.get_dummies(df.Education)# Concatenate the dummies to original dataframemerged_data = pd.concat([df, encoded], axis='columns')# dropping the original column which was not encodedmerged_data.drop(['Education...
Python enables you to get your hands dirty with data in many ways. One of them,which is my favorite is its PANDAS library. As much as its name excites me, also its flexible nature of accepting all types of data like JSON,CSV, XLSX, etc, and numerous fancy features like slice/label ...