Hamza kchok
- 8 min
POV: You're a data scientist with fresh data to work on
It's Friday morning, you just got your coffee and are ready to chill on that chair and smoothly sail through this last day before the...
TEMFACK DERICK
- 3 min
Become a pandas ninja with nlargest(), nsmallest(), query and where methods
Pandas is a famous library with a ton of methods. The methods we cover in this article are not often used by data scientists but can be...
bhordemarz
- 2 min
Exploratory Data Analysis on Titanic dataset
The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely...
Gilbert Temgoua
- 6 min
Must-know Pandas Techniques for Data Manipulation in Python
G. Temgoua Github Introduction Without data, there won't be neither data science nor data scientists, that is why efficient data...
TEMFACK DERICK
- 3 min
Working with duplicated data in Pandas DataFrame
Real-world data are generally noisy and messy. In this case, we must process some cleaning operation on it before doing an analysis....
Sujan Karki
- 5 min
Combining and Aggregating Data in Python
While analyzing data, there might arise situations where the data required is available in different tables. In such situations, one...
Sujan Karki
- 2 min
Multi-Indexing for Data Manipulation
Pandas is a package built on top of NumPy, and provides an efficient implementation of a DataFrame. DataFrames are essentially...
TEMFACK DERICK
- 5 min
Working with Missing Data in Pandas
As pandas is a library for data manipulation, it offers various approaches to detect and handle missing data. Here, we can ask ourselves;...
Joana Owusu-Appiah
- 8 min
Functions of a Python Function
Have you ever wondered how cavemen managed to do simple activities without the use of tools? I am sure the majority of the cutting and...
Diallo Falilou
- 5 min
Investigating Guest Stars in The Office
Introduction The Office is an American Mockumentary sitcom television series that depicts the everyday lives of office employees in the...
