News
10d
How-To Geek on MSNPython Beginner's Guide to Processing Data
The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...
1d
How-To Geek on MSNWhy I Prefer Python for Data Analysis
One of Python's best features is the number of libraries you can use with the language. Not only does Python come with lots ...
Someone once said that Python’s data science training wheels would increasingly lead to the R language. Boy, was he wrong. Back in 2015 I wrote that “Python’s data science training wheels ...
This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...
They found that, contrary to the rumors of R’s demise, that R remains an integral part of the data science processes for its customers and prospects. In fact, Qubole concluded that organizations would ...
Because of its simplicity, Python is the language of choice for creating UDFs in the data science community. In fact, the Tuplex team cites a recent poll showing that 66% of data platform users ...
“We didn’t hear a lot of Python. But two years in [in 2015], we heard Python being used more and more for data science.” Trying to measure the popularity of languages is a notoriously difficult task.
However, Python’s methods for parallelizing operations often require data to be serialized and deserialized between threads or nodes, while Julia’s parallelization is more refined.
Coursera offers a variety of training options for the growing data professional. Explore top data science courses from Coursera now. Image: Andrey Popov/Adobe Stock ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results