| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | |
| 7 | 8 | 9 | 10 | 11 | 12 | 13 |
| 14 | 15 | 16 | 17 | 18 | 19 | 20 |
| 21 | 22 | 23 | 24 | 25 | 26 | 27 |
| 28 | 29 | 30 | 31 |
Tags
- concurrency
- 프로그래머스
- Python Implementation
- data science
- 43. Multiply Strings
- Protocol
- 715. Range Module
- Convert Sorted List to Binary Search Tree
- Substring with Concatenation of All Words
- 315. Count of Smaller Numbers After Self
- 시바견
- 파이썬
- Class
- attribute
- DWG
- Python Code
- Decorator
- LeetCode
- iterator
- Generator
- shiba
- kaggle
- 109. Convert Sorted List to Binary Search Tree
- 밴픽
- 30. Substring with Concatenation of All Words
- 운영체제
- 컴퓨터의 구조
- Python
- t1
- Regular Expression
Archives
- Today
- Total
목록SPARK (1)
Scribbling
(py)Spark Basics
In this post, I will review basics of Spark, especially pySpark. Spark is a framework for handling big data and has a great strength in distributed system with multiple nodes. To install pyspark, simply 'pip install pyspark'. For demonstration, I will use 'heart.csv' dataset from https://www.kaggle.com/datasets/johnsmith88/heart-disease-dataset. Now, let's get down to the code. In pyspark, we ca..
Computer Science/Data Science
2022. 10. 6. 09:44