[가짜연구소] Data Scientist - Python 9주차.

 

 

안녕하세요 늑대양입니다

 

 

이번 주는 스터디원 분과 함께 발표를 진행하는 주차입니다 🥸

 

 

오늘은 가짜연구소 스터디 9주차 학습 내용을 안내해드리도록 하겠습니다.

 

 

 

 

 

 

 

 

 

 

프로그램: Data Scientist - Python - 황지*님/이다*님

 

 

Programming 부터 Deep Learning 까지!

 

 

 

 

 

9주차 학습 주제: Python Data Science Toolbox (Part 1)

9주차 학습 material URL: https://www.datacamp.com/courses/python-data-science-toolbox-part-1

 

 

 

Python Data Science Toolbox (Part 1)

 

 

 

 

Course Description

• It's time to push forward and develop your Python chops even further.
• There are tons of fantastic functions in Python and its library ecosystem.
• However, as a data scientist, you'll constantly need to write your own functions to solve problems that are dictated by your data.
• You will learn the art of function writing in this first Python Data Science Toolbox course.
• You'll come out of this course being able to write your very own custom functions, complete with multiple parameters and multiple return values, along with default arguments and variable-length arguments.
• You'll gain insight into scoping in Python and be able to write lambda functions and handle errors in your function writing practice.
• And you'll wrap up each chapter by using your new skills to write functions that analyze Twitter DataFrames.

 

 

 

Index

1. Writing your own functions
2. Default arguments, varialbe-length arguments and scope
3. Lambda functions and error-handling

 

 

 

Materials:

https://github.com/sainthm/pseudo_lab/tree/main/week_9

GitHub - sainthm/pseudo_lab

 

 

 

 

 

 

 

수강완료!!

 

 

 

 

 

 

 

 

 

긴 글 읽어주셔서 감사합니다 😍