xsqian

#conda create an env
conda create -n py376-tf241 ipykernel python=3.7.6
conda activate py376-tf241

# find out current gpu avaliablity

import tensorflow as tf
print(tf.__version__)
print(tf.config.list_pysical_devices())

xsqian

# create a topic with specified partitons
kafka-topics --bootstrap-server xx.xx.xx.xx:39092 --create --partitions 2 --topic test-partitions
kafka-topics --bootstrap-server xx.xx.xx.xx:39092 --describe --topic test-partitions

# create a topic with default partitions
kafka-topics --bootstrap-server xx.xx.xx.xx:39092 --create  --topic test-def-partitions
kafka-topics --bootstrap-server xx.xx.xx.xx:39092 --describe --topic test-def-partitions

# alter the number of partitions of an existing topic
kafka-topics --bootstrap-server xx.xx.xx.xx:39092 --alter --topic test-def-partitions --partitions 3

xsqian

# install 
pip install tensorflowjs

# convert h5 model to json
tensorflowjs_converter --input_format=keras model_3.h5 model_3.json

# view the model in json format:
python -m json.tool model.json

# note: jq need os access to install, not just a pip install, 

xsqian

kubectl config set-context --current --namespace=namepsace_name

xsqian

echo red | base64 
# cmVkCg==
echo "cmVkCg==" | base64 -D
# red

xsqian

!curl http://docker-registry.default-tenant.app.us-sales-32.iguazio-cd0.com/v2/_catalog | json_pp 

xsqian

sed 's/<search regex>/<replacement>/g' <input file> <output file>

xsqian

sudo amazon-linux-extras install docker
sudo systemctl enable docker
sudo systemctl start docker
sudo usermod -aG docker ec2-user  # allows you to run `docker` commands without `sudo`
sudo reboot

docker info

xsqian

sudo yum install golang -y

go version

xsqian

brew install hudochenkov/sshpass/sshpass