Proper configuration and management of environments are essential for successful development and deployment processes. By establishing distinct environments for development and deployment, organizations can ensure smooth transitions and minimize potential issues. In the development environment, developers can work on coding, testing, and refining their applications without affecting the live deployment. This allows for experimentation and iteration while maintaining stability in the production environment. When it comes to deployment, a well-managed environment guarantees that the application runs efficiently and reliably for end-users. By carefully configuring and managing these environments, organizations can optimize their development workflow, enhance collaboration, and deliver high-quality software to their users.
Luis Jaraquemada ljaraque
ref_1: https://www.redswitches.com/blog/install-docker-on-debian/
sudo apt update
sudo apt upgrade
sudo apt-get install apt-transport-https ca-certificates curl gnupg lsb-release
In Python, object is the base class from which all classes inherit.
The type function in Python returns the type of the object passed as argument. Actually, type function is a sintactic sugar for checking the attribute __class__ of an object.
title: Git Quick Start Guide
date: 2017-01-30
by: ljaraque@yahoo.com
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Check current status of git repo:
git status -
Create new branch:
git checkout -b branch_name
first install java:
sudo add-apt-repository ppa:webupd8team/java
sudo apt-get update
sudo apt-get install oracle-java8-installer
This is a summary of the process I lived in order to enable my system with CUDA9.2, cuDNN7.2.1, Tensorflow1.8 and NVIDIA GEFORCE GTX860M GPU. You can just skip the steps marked with FAILED. I decided to keep them there in order to be useful for others who tried those paths too.
FAILED (Next section is successfull) Install NVIDIA driver (FAILED, THIS WILL INSTALL DRIVER 390 which is not compatible with CUDA9.2):
ubuntu-drivers devices
This is a hands-on guide for Continuous Integration of Flask Apps and Dockerized Flask Apps.