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 |
- query
- sort
- Python
- token filter test
- zip 암호화
- Java
- License
- springboot
- docker
- Kafka
- ELASTIC
- high level client
- 900gle
- flask
- MySQL
- Test
- 파이썬
- aggs
- Mac
- aggregation
- API
- analyzer test
- zip 파일 암호화
- plugin
- TensorFlow
- license delete
- 차트
- Elasticsearch
- licence delete curl
- matplotlib
- Today
- Total
목록Python/system (3)
개발잡부
https://www.anaconda.com/products/individual Anaconda | Individual Edition Anaconda's open-source Individual Edition is the easiest way to perform Python/R data science and machine learning on a single machine. www.anaconda.com
macOS Open the Terminal.app or iTerm2 terminal application, and then remove your entire Anaconda directory, which has a name such as anaconda2, anaconda3, or ~/opt. Enter rm -rf ~/anaconda3 to remove the directory.
아나콘다 설치 후 가상환경 목록확인 conda info --envs 가상환경 생성 conda create --name "doo" python="3.7" shell 껏다 키고 가상환경 실행 conda activate doo 텐서플로우 설치 conda install tensorflow 주피터 노트북 설치 conda install jupyter notebook 주피터 노트북 실행 jupyter notebook 텐서플로 확인 import tensorflow as tf with tf.compat.v1.Session() as sess: hello = tf.constant("Hello") world = tf.constant("World") sentence = hello + world pr = sess.run(sent..