bookmark_borderIdeal City

Cloud system micro-serviced using Docker, Python, Golang, Node, Flask, Gin, Express.js, MongoDB

Reflection

Show cheaper products of a target city comparing to your city!

=> City Searcher API Microservice Repo

Run
sh run.sh

output

live demo: http://khaledalam.net:8001


Architecture

GitHub: https://github.com/khaledalam/ideal-city

bookmark_borderAliases Manager

Hi everyone!
I just released the first version of my new tool
(Aliases Manager a GUI app using #Python and #Tkinter)

project on #GitHub : https://lnkd.in/dynSGDm

feel free to give the tool a try and a star if you liked it.

#gui#python3#pip#docker#git#files#string#manipulation#linux#unix#mac#windows#bash#treeview#tk#tcl#geometry#terminal#terminals#kernal#cmd#sh#scripting

bookmark_borderAllocate memory to work as swap space on VMs

When physical RAM is already in use, VM instances use swap space as a short-term replacement for physical RAM.

Contents of RAM that aren’t in active use or that aren’t needed as urgently as other data or instructions can be temporarily paged to a swap file. This frees up RAM for more immediate use.

Resolution

Calculate the swap space size

As a general rule, calculate swap space according to the following:

Amount of physical RAMRecommended swap space
2 GB of RAM or less2x the amount of RAM but never less than 32 MB
More than 2 GB of RAM but less than 32 GB4 GB + (RAM – 2 GB)
32 GB of RAM or more1x the amount of RAM
Note: Swap space should never be less than 32 MB.

In this example dd command, the swap file is 4 GB (128 MB x 32):  

$ sudo dd if=/dev/zero of=/swapfile bs=128M count=32

2.    Update the read and write permissions for the swap file:

$ sudo chmod 600 /swapfile

3.    Set up a Linux swap area:

$ sudo mkswap /swapfile

4.    Make the swap file available for immediate use by adding the swap file to swap space:  

$ sudo swapon /swapfile

5.    Verify that the procedure was successful:

$ sudo swapon -s

6.    Enable the swap file at boot time by editing the /etc/fstab file.

Open the file in the editor:

$ sudo nano /etc/fstab

Add the following new line at the end of the file, save the file, and then exit:

/swapfile swap swap defaults 0 0

Done )

run $ htop and check swp [ ] section.

bookmark_borderAwesome Docker WordPress

Simple and easy containerized WordPress website with docker-compose.

Components used:

  • [image] wordpress:latest
  • [image] mysql:5.7
  • [image] phpmyadmin/phpmyadmin
  • docker
  • docker-compose
  • wget, curl, tar, mysqladmin

Usage

  • $ git clone
  • $ cd awecome-docker-wordpress
  • make sure ports in docker-compose file are opened and not in used
  • make sure no running containers using same ports. delete all containers: $ docker rm $(docker -aq) -f
  • $ sudo ./build.sh
  • Naviagate to:
    website: localhost or 127.0.0.1
    PMA: localhost:5000 or 127.0.0.1:5000

Notes: if you want to use your existing WordPress files remove or comment <<< Download latest wordpress section in build.sh file and put your files in app folder!


GitHub: https://github.com/khaledalam/awesome-docker-wordpress

bookmark_borderTweet Products

Auto tweet about your e-commerce products with content, hashtags and links using python and docker.

(c) ManyDatasets.com

code on github => https://lnkd.in/e4FFUus

Usage

  • create twitter app and change api keys
auth = tweepy.OAuthHandler("CONSUMER_KEY", "CONSUMER_SECRET")
auth.set_access_token("ACCESS_TOKEN", "ACCESS_TOKEN_SECRET")
  • install docker or docker.io
  • create docker image docker build -t manydatasets_twitter .
  • run docker conatiner: docker run -d --name manydatasets_twitter manydatasets_twitter

#marketing #twitter #tweet #ecommerce #products #product #docker #python #bs4 #pandas #wp #wordpress #shopify #magento #manydatasets

bookmark_borderIntro – Asdam Podcast | مقدمه أسدام بودكاست

Performer & Mix & Master: Khaled Alam

Listen on:
=> YouTube: https://youtu.be/0cRxIJ78YjY
=> Soundcloud: https://soundcloud.com/asdampodcast/intro-asdam-podcast

https://khaledalam.net/asdam-podcast
Main Asdam Podcast Website

bookmark_borderReset Root Password in MySQL ^8.*

  1. Add below code to the end of /etc/mysql/my.cnf file.
    [mysqld]
    skip-grant-tables
  2. Restart service:
    sudo systemctl restart mysql
  3. Login into mysql:
    sudo mysql -uroot
  4. Remove root password:
    UPDATE mysql.user SET authentication_string=null WHERE User='root'; FLUSH PRIVILEGES; exit;
  5. Comment below code at the end of /etc/mysql/my.cnf file by add # in front of each line.
    # [mysqld]
    # skip-grant-tables
  6. Restart service:
    sudo systemctl restart mysql
  7. Login into mysql:
    sudo mysql -uroot

Done! 🙂

bookmark_borderINSTALL AND RUN FLASK(PYTHON) ON UBUNTU 19.04 on VpsServer

Flask is a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to complex applications. It began as a simple wrapper around Werkzeug and Jinja and has become one of the most popular Python web application frameworks.


Step #0:
Signup (I appreciate if you use my referral link)
https://www.vpsserver.com/?affcode=21edd2c7bade
after your account becomes verified, create a Ubuntu 19.04 server.

Step #1:
Install python pip and flask by run:
$ sudo apt install python-pip
$ sudo apt install python3-pip
$ pip install -U Flask
$ pip3 install -U Flask

Step #2:
Add your project files on the server (ex. from GitHub using clone command)
in this tutorial let’s use a very simple flask app example that prints Hello, World! and save the app in (ex. /var/www/flask):

$ mkdir /var/www/flask
$ cd /var/www/flask
$ nano app.py
copy below code and paste it in app.py file using CTRL + SHIFT + V keys.

# app.py file

from flask import Flask

app = Flask(__name__)

@app.route("/")
def hello():
    return "Hello, World!"

then press ( CTRL+ X )-> Y -> ENTER.


Step #3:
Run the server by run:
$ env FLASK_APP=app.py flask run -h xxx.xxx.xxx
change xxx.xxx.xxx to your server ip

output:

Serving Flask app "app.py"
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: off
 * Running on http://xxx.xxx.xxx:5000/ (Press CTRL+C to quit)