How To Serve Flask Applications with uWSGI and Nginx on Ubuntu 20.04

How To Serve Flask Applications with uWSGI and Nginx on Ubuntu 20.04

Introduction

In this guide, you will build a Python application using the Flask microframework on Ubuntu 20.04. The bulk of this article will be about how to set up the uWSGI application server and how to launch the application and configure Nginx to act as a front-end reverse proxy.

Before starting this guide, you should have:

  • A server with Ubuntu 20.04 installed and a non-root user with sudo privileges. Follow our initial server setup guide for guidance.
  • Nginx installed, following Steps 1 through 3 of How To Install Nginx on Ubuntu 20.04.
  • A domain name configured to point to your server. You can purchase one on Namecheap or get one for free on Freenom. You can learn how to point domains to DigitalOcean by following the relevant documentation on domains and DNS. This tutorial assumes you’ve created the following DNS records:
    • An A record with your_domain pointing to your server’s public IP address.
    • An A record with www.your_domain pointing to your server’s public IP address.

Additionally, it may be helpful to have some familiarity with uWSGI, the application server you’ll set up in this guide, and the WSGI specification. This discussion of definitions and concepts goes over both in detail.

Step 1 — Installing the Components from the Ubuntu Repositories

Your first step will be to install all of the pieces that you need from the Ubuntu repositories. The packages you need to install include pip, the Python package manager, to manage your Python components. You’ll also get the Python development files necessary to build uWSGI.

First, update the local package index:

 $ sudo apt update

Then install the packages that will allow you to build your Python environment. These will include python3-pip, along with a few more packages and development tools necessary for a robust programming environment:

 $ sudo apt install python3-pip python3-dev build-essential libssl-dev libffi-dev python3-setuptools

With these packages in place, you’re ready to move on to creating a virtual environment for your project.

Step 2 — Creating a Python Virtual Environment

A Python virtual environment is a self-contained project directory that contains specific versions of Python and the Python modules required for the given project. This is useful for isolating one application from others on the same system by managing each one’s dependencies separately. In this step, you’ll set up a Python virtual environment from which you’ll run your Flask application.

Start by installing the python3-venv package, which will install the venv module:

 $ sudo apt install python3-venv

Next, make a parent directory for your Flask project:

  • mkdir ~/myproject

Move into the directory after you create it:

  • cd ~/myproject

Create a virtual environment to store your Flask project’s Python requirements by typing:

  • python3.8 -m venv myprojectenv

This will install a local copy of Python and pip into a directory called myprojectenv within your project directory.

Before installing applications within the virtual environment, you need to activate it. Do so by typing:

  • source myprojectenv/bin/activate

Your prompt will change to indicate that you are now operating within the virtual environment. It will look something like this: (myprojectenv)user@host:~/myproject$.

Now that you are in your virtual environment, you can install Flask and uWSGI and then get started on designing your application.

First, install wheel with the local instance of pip to ensure that your packages will install even if they are missing wheel archives:

  • pip install wheel

Note: Regardless of which version of Python you are using, when the virtual environment is activated, you should use the pip command (not pip3).

Next, install Flask and uWSGI:

  • pip install uwsgi flask

Creating a Sample App

Now that you have Flask available, you can create a sample application. Flask is a microframework. It does not include many of the tools that more full-featured frameworks might, and exists mainly as a module that you can import into your projects to assist you in initializing a web application.

While your application might be more complex, in this example you’ll create your Flask app in a single file, called myproject.py:

  • nano ~/myproject/myproject.py

The application code will live in this file. It will import Flask and instantiate a Flask object. You can use this to define the functions that you want to be run when a specific route is requested:

~/myproject/myproject.py
from flask import Flask
app = Flask(__name__)

@app.route("/")
def hello():
    return "<h1 style='color:blue'>Hello There!</h1>"

if __name__ == "__main__":
    app.run(host='0.0.0.0')

Essentially, this defines what content to present to whoever accesses the root domain. Save and close the file when you’re finished. If you used nano to edit the file, as in the previous example, do so by pressing CTRL + XY, and then ENTER.

If you followed the initial server setup guide, you should have a UFW firewall enabled. To test the application, you need to allow access to port 5000:

sudo ufw allow 5000

Now, you can test your Flask app by typing:

  • python myproject.py

You will see output like the following, including a helpful warning reminding you not to use this server setup in production:

Output
* Serving Flask app "myproject" (lazy loading)
 * Environment: production
   WARNING: Do not use the development server in a production environment.
   Use a production WSGI server instead.
 * Debug mode: off
 * Running on http://0.0.0.0:5000/ (Press CTRL+C to quit)

Visit your server’s IP address followed by :5000 in your web browser:

http://your_server_ip:5000

You will see something like this:

Flask sample app

When you are finished, hit CTRL + C in your terminal window to stop the Flask development server.

Creating the WSGI Entry Point

Next, create a file that will serve as the entry point for your application. This will tell your uWSGI server how to interact with it.

Call the file wsgi.py:

  • nano ~/myproject/wsgi.py

In this file, import the Flask instance from your application and then run it:

~/myproject/wsgi.py
from myproject import app

if __name__ == "__main__":
    app.run()

Save and close the file when you are finished.

Step 4 — Configuring uWSGI

Your application is now written with an entry point established. You can move on to configuring uWSGI.

Testing Whether uWSGI Can Serve the Application

As a first step, test to make sure that uWSGI can correctly serve your application by passing it the name of your entry point. This is constructed by the name of the module (minus the .pyextension) plus the name of the callable within the application. In the context of this tutorial, the name of the entry point is wsgi:app.

Also, specify the socket so that it will be started on a publicly available interface, as well as the protocol, so that it will use HTTP instead of the uwsgi binary protocol. Use the same port number, 5000, that you opened earlier:

  • uwsgi –socket 0.0.0.0:5000 –protocol=http -w wsgi:app

Visit your server’s IP address with :5000 appended to the end in your web browser again:

http://your_server_ip:5000

You will see your application’s output again:

Flask sample app

When you have confirmed that it’s functioning properly, press CTRL + C in your terminal window.

You’re now done with your virtual environment, so you can deactivate it:

  • deactivate

Any Python commands will now use the system’s Python environment again.

Creating a uWSGI Configuration File

You have tested that uWSGI is able to serve your application, but ultimately you will want something more robust for long-term usage. You can create a uWSGI configuration file with the relevant options for this.

Place that file in your project directory and call it myproject.ini:

  • nano ~/myproject/myproject.ini

Inside, start the file off with the [uwsgi] header so that uWSGI knows to apply the settings. Below that, specify module itself — by referring to the wsgi.py file minus the extension — and the callable within the file, app:

~/myproject/myproject.ini
[uwsgi]
module = wsgi:app

Next, tell uWSGI to start up in master mode and spawn five worker processes to serve actual requests:

~/myproject/myproject.ini
[uwsgi]
module = wsgi:app

master = true
processes = 5

When you were testing, you exposed uWSGI on a network port. However, you’re going to be using Nginx to handle actual client connections, which will then pass requests to uWSGI. Since these components are operating on the same computer, a Unix socket is preferable because it is faster and more secure. Call the socket myproject.sock and place it in this directory.

Next, change the permissions on the socket. You’ll be giving the Nginx group ownership of the uWSGI process later on, so you need to make sure the group owner of the socket can read information from it and write to it. Also, add the vacuum option and set it to true; this will clean up the socket when the process stops:

~/myproject/myproject.ini
[uwsgi]
module = wsgi:app

master = true
processes = 5

socket = myproject.sock
chmod-socket = 660
vacuum = true

The last thing to do is set the die-on-term option. This can help ensure that the init system and uWSGI have the same assumptions about what each process signal means. Setting this aligns the two system components, implementing the expected behavior:

~/myproject/myproject.ini
[uwsgi]
module = wsgi:app

master = true
processes = 5

socket = myproject.sock
chmod-socket = 660
vacuum = true

die-on-term = true

You may have noticed that these lines do not specify a protocol like you did from the command line. That is because by default, uWSGI speaks using the uwsgi protocol, a fast binary protocol designed to communicate with other servers. Nginx can speak this protocol natively, so it’s better to use this than to force communication by HTTP.

When you are finished, save and close the file.

With that, uWSGI is configured on your system. In order to give you more flexibility in how you manage your Flask application, you can now configure it to run as a systemd service.

Step 5 — Creating a systemd Unit File

Systemd is a suite of tools that provides a fast and flexible init model for managing system services. Creating a systemd unit file will allow Ubuntu’s init system to automatically start uWSGI and serve the Flask application whenever the server boots.

Create a unit file ending in .service within the /etc/systemd/system directory to begin:

  • sudo nano /etc/systemd/system/myproject.service

Inside, start with the [Unit] section, which is used to specify metadata and dependencies. Then put a description of the service here and tell the init system to only start this after the networking target has been reached:

/etc/systemd/system/myproject.service
[Unit]
Description=uWSGI instance to serve myproject
After=network.target

Next, open up the [Service] section. This will specify the user and group that you want the process to run under. Give your regular user account ownership of the process since it owns all of the relevant files. Then give group ownership to the www-data group so that Nginx can communicate easily with the uWSGI processes. Remember to replace the username here with your username:

/etc/systemd/system/myproject.service
[Unit]
Description=uWSGI instance to serve myproject
After=network.target

[Service]
User=sammy
Group=www-data

Next, map out the working directory and set the PATH environmental variable so that the init system knows that the executables for the process are located within your virtual environment. Also, specify the command to start the service. Systemd requires that you give the full path to the uWSGI executable, which is installed within your virtual environment. Here, we pass the name of the .ini configuration file you created in your project directory.

Remember to replace the username and project paths with your own information:

/etc/systemd/system/myproject.service
[Unit]
Description=uWSGI instance to serve myproject
After=network.target

[Service]
User=sammy
Group=www-data
WorkingDirectory=/home/sammy/myproject
Environment="PATH=/home/sammy/myproject/myprojectenv/bin"
ExecStart=/home/sammy/myproject/myprojectenv/bin/uwsgi --ini myproject.ini

Finally, add an [Install] section. This will tell systemd what to link this service to if you enable it to start at boot. In this case, set the service to start when the regular multi-user system is up and running:

/etc/systemd/system/myproject.service
[Unit]
Description=uWSGI instance to serve myproject
After=network.target

[Service]
User=sammy
Group=www-data
WorkingDirectory=/home/sammy/myproject
Environment="PATH=/home/sammy/myproject/myprojectenv/bin"
ExecStart=/home/sammy/myproject/myprojectenv/bin/uwsgi --ini myproject.ini

[Install]
WantedBy=multi-user.target

With that, your systemd service file is complete. Save and close it now.

You can now start the uWSGI service you created:

  • sudo systemctl start myproject

Then enable it so that it starts at boot:

  • sudo systemctl enable myproject

Check the status:

  • sudo systemctl status myproject

You will see output like this:

Output
● myproject.service - uWSGI instance to serve myproject
     Loaded: loaded (/etc/systemd/system/myproject.service; enabled; vendor preset: enabled)
     Active: active (running) since Wed 2020-05-20 13:21:39 UTC; 8h ago
   Main PID: 22146 (uwsgi)
      Tasks: 6 (limit: 2345)
     Memory: 25.5M
     CGroup: /system.slice/myproject.service
             ├─22146 /home/sammy/myproject/myprojectenv/bin/uwsgi --ini myproject.ini
             ├─22161 /home/sammy/myproject/myprojectenv/bin/uwsgi --ini myproject.ini
             ├─22162 /home/sammy/myproject/myprojectenv/bin/uwsgi --ini myproject.ini
             ├─22163 /home/sammy/myproject/myprojectenv/bin/uwsgi --ini myproject.ini
             ├─22164 /home/sammy/myproject/myprojectenv/bin/uwsgi --ini myproject.ini
             └─22165 /home/sammy/myproject/myprojectenv/bin/uwsgi --ini myproject.ini

If you see any errors, be sure to resolve them before continuing with the tutorial. Otherwise, you can move on to configuring your Nginx installation to pass requests to the myproject.socksocket.

Step 6 — Configuring Nginx to Proxy Requests

Your uWSGI application server is now up and running, waiting for requests on the socket file in the project directory. In this step, you’ll configure Nginx to pass web requests to that socket using the uwsgi protocol.

Begin by creating a new server block configuration file in Nginx’s sites-available directory. To keep in line with the rest of the guide, the following example refers to this as myproject:

 $ sudo nano /etc/nginx/sites-available/myproject

 

Open up a server block and tell Nginx to listen on the default port 80. Additionally, tell it to use this block for requests for your server’s domain name:

/etc/nginx/sites-available/myproject

 

server {
    listen 80;
    server_name your_domain www.your_domain;
}

Next, add a location block that matches every request. Within this block, include the uwsgi_paramsfile that specifies some general uWSGI parameters that need to be set. Then pass the requests to the socket you defined using the uwsgi_pass directive:

/etc/nginx/sites-available/myproject
server {
    listen 80;
    server_name your_domain www.your_domain;

    location / {
        include uwsgi_params;
        uwsgi_pass unix:/home/sammy/myproject/myproject.sock;
    }
}

Save and close the file when you’re finished.

To enable the Nginx server block configuration you’ve just created, link the file to the sites-enabled directory:

  • sudo ln -s /etc/nginx/sites-available/myproject /etc/nginx/sites-enabled

With the file in that directory, you can test for syntax errors by typing:

  • sudo nginx -t

If this returns without indicating any issues, restart the Nginx process to read the new configuration:

  • sudo systemctl restart nginx

Finally, adjust the firewall once again. You no longer need access through port 5000, so you can remove that rule. Then, you can allow access to the Nginx server:

  • sudo ufw delete allow 5000
  • sudo ufw allow ‘Nginx Full’

You will now be able to navigate to your server’s domain name in your web browser:

http://your_domain

You will see your application output:

Flask sample app

If you encounter any errors, trying checking the following:

  • sudo less /var/log/nginx/error.log: checks the Nginx error logs.
  • sudo less /var/log/nginx/access.log: checks the Nginx access logs.
  • sudo journalctl -u nginx: checks the Nginx process logs.
  • sudo journalctl -u myproject: checks your Flask app’s uWSGI logs.

To ensure that traffic to your server remains secure, obtain an SSL certificate for your domain. There are multiple ways to do this, including getting a free certificate from Let’s Encrypt, generating a self-signed certificate, or buying one from a commercial provider. For the sake of expediency, this tutorial explains how to obtain a free certificate from Let’s Encrypt.

First, install Certbot and its Nginx plugin with apt:

  • sudo apt install certbot python3-certbot-nginx

Certbot provides a variety of ways to obtain SSL certificates through plugins. The Nginx plugin will take care of reconfiguring Nginx and reloading the config whenever necessary. To use this plugin, type the following:

  • sudo certbot –nginx -d your_domain -d www.your_domain

This runs certbot with the --nginx plugin, using -d to specify the names you’d like the certificate to be valid for.

If this is your first time running certbot on this server, you will be prompted to enter an email address and agree to the terms of service. After doing so, certbot will communicate with the Let’s Encrypt server, then run a challenge to verify that you control the domain you’re requesting a certificate for.

If that’s successful, certbot will ask how you’d like to configure your HTTPS settings:

Output
Please choose whether or not to redirect HTTP traffic to HTTPS, removing HTTP access.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
1: No redirect - Make no further changes to the webserver configuration.
2: Redirect - Make all requests redirect to secure HTTPS access. Choose this for
new sites, or if you're confident your site works on HTTPS. You can undo this
change by editing your web server's configuration.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Select the appropriate number [1-2] then [enter] (press 'c' to cancel):

Select your choice then hit ENTER. The configuration will be updated, and Nginx will reload to pick up the new settings. certbot will wrap up with a message telling you the process was successful and where your certificates are stored:

Output
IMPORTANT NOTES:
 - Congratulations! Your certificate and chain have been saved at:
   /etc/letsencrypt/live/your_domain/fullchain.pem
   Your key file has been saved at:
   /etc/letsencrypt/live/your_domain/privkey.pem
   Your cert will expire on 2020-08-18. To obtain a new or tweaked
   version of this certificate in the future, simply run certbot again
   with the "certonly" option. To non-interactively renew *all* of
   your certificates, run "certbot renew"
 - Your account credentials have been saved in your Certbot
   configuration directory at /etc/letsencrypt. You should make a
   secure backup of this folder now. This configuration directory will
   also contain certificates and private keys obtained by Certbot so
   making regular backups of this folder is ideal.
 - If you like Certbot, please consider supporting our work by:

   Donating to ISRG / Let's Encrypt:   https://letsencrypt.org/donate
   Donating to EFF:                    https://eff.org/donate-le

If you followed the Nginx installation instructions in the prerequisites, you will no longer need the redundant HTTP profile allowance:

  • sudo ufw delete allow ‘Nginx HTTP’

To verify the configuration, navigate once again to your domain, using https://:

https://your_domain

You will see your application output once again, along with your browser’s security indicator, which should indicate that the site is secured.

Conclusion

In this guide, you created and secured a basic Flask application within a Python virtual environment. Then you created a WSGI entry point so that any WSGI-capable application server can interface with it, and then configured the uWSGI app server to provide this function. Afterwards, you created a systemd service file to automatically launch the application server on boot. You also created an Nginx server block that passes web client traffic to the application server, thereby relaying external requests, and secured traffic to your server with Let’s Encrypt.

Flask is a simple yet flexible framework meant to provide your applications with functionality without being too restrictive about structure or design. You can use the general stack described in this guide to serve the flask applications that you design.

How To Install Pip on CentOS 7

Pip on CentOS 7

The Pip command is a tool for installing and managing Python packages, such as those found in the Python Package Index. With the help of pip you can also install the package of particular version. Most importantly pip has a feature to manage full lists of packages and corresponding version numbers, possible through a “requirements” file. It performs the same basic job as easy_install, but with some extra features.

Prerequisites

This article assumes you have at least basic knowledge of linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo’ to the commands to get root privileges. I will show you through the step by step installation Pip Python on a CentOS 7 server.
Install Pip on CentOS 7

Step 1. First let’s start by ensuring your system is up-to-date.

yum clean all
yum install epel-release
yum -y update

Step 2. Installing Pip.

Method 1.

Install the pip by using Yum command:

yum -y install python-pip

Once the installation is completed you can verify that it was successful by using the following command:

pip -V

Method 2.

Installing Pip with Curl and Python:

curl "https://bootstrap.pypa.io/get-pip.py" -o "get-pip.py"

Now install pipby using the following command:

python get-pip.py

Once the installation is completed you can verify the installation:

pip -V

Step 3. How to use pip command.

After installing python-pip package, the pip command will be available on system. There are multiple options available with pip command:

To install new python package type:

pip install packageName

To uninstall python package installed by pip type:

pip uninstall packageName

To search python package type:

pip search packageName

For more Pip options and usage examples you can use the –help flag:

[[email protected] ~]# pip --help


Usage:
pip [options]

Commands:

install Install packages.
uninstall Uninstall packages.
freeze Output installed packages in requirements format.
list List installed packages.
show Show information about installed packages.
search Search PyPI for packages.
wheel Build wheels from your requirements.
zip DEPRECATED. Zip individual packages.
unzip DEPRECATED. Unzip individual packages.
bundle DEPRECATED. Create pybundles.
help Show help for commands.

General Options:

-h, --help Show help.
-v, --verbose Give more output. Option is additive, and can be used up to 3 times.
-V, --version Show version and exit.
-q, --quiet Give less output.
--log-file Path to a verbose non-appending log, that only logs failures. This
log is active by default at /home/sharad/.pip/pip.log.
--log Path to a verbose appending log. This log is inactive by default.
--proxy Specify a proxy in the form [user:passwd@]proxy.server:port.
--timeout Set the socket timeout (default 15 seconds).
--exists-action Default action when a path already exists: (s)witch, (i)gnore,
(w)ipe, (b)ackup.
--cert Path to alternate CA bundle.
[[email protected] ~]#

Congratulation’s! You have successfully installed Pip. Thanks for using this tutorial for installing Pip Python on CentOS 7 system. For additional help or useful information, we recommend you to check the official Python web site.

How To Install OpenCV on CentOS 7 Step by Step

Install OpenCV on CentOS 7

OpenCV (Open Source Computer Vision Library) is an open source computer vision library with bindings for C++, Python, and Java and supports all major operating systems. It can take advantage of multi-core processing and features GPU acceleration for real-time operation. OpenCV can be deployed on various platforms, including Windows, Linux, Android, iOS, etc. In this tutorial we will learn how to Install OpenCV on CentOS 7 Step by Step.

This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo’ to the commands to get root privileges. I will show you through the step by step installation OpenCV on a CentOS 7 server.
Install OpenCV on CentOS 7

Step 1. First, let’s start by ensuring your system is up-to-date.

yum clean all
yum -y update

Step 2. Installing dependencies for OpenCV.

Use the following commands to install all required dependencies for compiling OpenCV:

yum groupinstall "Development Tools"
yum install cmake gcc gtk2-devel numpy pkconfig

Step 3. Installing OpenCV on CentOS 7.

First, Download and unarchive OpenCV archive as below:

wget https://github.com/opencv/opencv/archive/3.3.0.zip
unzip 3.3.0.zip

Next, compile and install OpenCV:

cd opencv-3.3.0
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=DEBUG -D CMAKE_INSTALL_PREFIX=/usr/local ..
make
make install

Then, configure required variables:

export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig/
echo '/usr/local/lib/' >> /etc/ld.so.conf.d/opencv.conf
ldconfig

To test your OpenCV installation, you can download extra test data from the OpenCV extra repository:

cd
git clone https://github.com/opencv/opencv_extra.git
export OPENCV_TEST_DATA_PATH=/root/opencv_extra/testcinta

In the cmake build directory, you will find several test executables named in the same kind of format opencv_test_*. Run any one you are interested in to perform a test. Example below:

cd /root/opencv-3.3.0/build/bin
ls
./opencv_test_cinta

Congratulation’s! You have successfully installed OpenCV. Thanks for using this tutorial for installing OpenCV on CentOS 7 system. For additional help or useful information, we recommend you to check the official OpenCV web site.

How To Install Python 3.7.3 on Ubuntu 18.04 LTS

Install Python on Ubuntu 18

Python is an open-source and beginner-friendly programming language. Ubuntu 16.04 and Ubuntu 18.04 come with two versions of Python, Python 2.7 and Python 3.5. At the time of this writing, the latest stable version of Python is 3.6, released on December 23rd, 2016. If you need to use python3 as part of Python application dependency, there are several ways to install python3 on Ubuntu 18.04 LTS.

This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo’ to the commands to get root privileges. I will show you through the step by step installation Python on a Ubuntu 18.04 (Bionic Beaver) server.

Install Python on Ubuntu 18.04 LTS

Step 1. First make sure that all your system packages are up-to-date

sudo apt-get update
sudo apt-get upgrade

Step 2. Installing Python on Ubuntu 18.04 LTS.

Method 1. Installing Python 3.7 on Ubuntu 18.04 from Repository

Use the following command to install Python 3:

sudo apt update
sudo apt-get install python3.7
[php]


Then check the Python version:
[php]
python3.7 -V

Method 2. Compile and Install Python 3.7 on Ubuntu 18.04

First, we need to install some build dependencies using the commands below:

sudo apt install build-essential checkinstall
sudo apt install libreadline-gplv2-dev libncursesw5-dev libssl-dev libsqlite3-dev tk-dev libgdbm-dev libc6-dev libbz2-dev

Then, download Python 3.6 from source:

wget https://www.python.org/ftp/python/3.7.0/Python-3.7.0.tar.xz
tar xvf Python-3.7.0.tar.xz

Now cd into the source directory, configure the build environment and install:

cd Python-3.7.0/
./configure
sudo make altinstall

Once the process is complete, we can check the version of Python 3 that is installed in the system by typing:

python3.7

Congratulation’s! You have successfully installed Python. Thanks for using this tutorial for installing Python on Ubuntu 18.04 LTS (Bionic Beaver) system. For additional help or useful information, we recommend you to check the official Python web site.

How To Install Sublime Text on Ubuntu 18.04 LTS

Install Sublime Text on Ubuntu 18

Sublime Text is a cross-platform text and source code editor with a Python API. It is a sophisticated text editor for code, markup and prose. Its functionality is extendable with plugins. Most of the extending packages have free-software licenses and are community-built and maintained.

This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo’ to the commands to get root privileges. I will show you through the step by step installation Sublime Text 3 on a Ubuntu 18.04 (Bionic Beaver) server.
Sublime Text 3 Features

“Goto Anything,” quick navigation to files, symbols, or lines
“Command palette” uses adaptive matching for quick keyboard invocation of arbitrary commands
Simultaneous editing: simultaneously make the same interactive changes to multiple selected areas
Python-based plugin API
Project-specific preferences
Extensive customizability via JSON settings files, including project-specific and platform-specific settings
Cross platform (Windows, OS X, Linux)
Compatible with many language grammars from Textmate.
proprietary software, may be downloaded and evaluated for free, however a license must be purchased for continued use.

Install Sublime Text on Ubuntu 18.04 LTS Bionic Beaver

Step 1. First make sure that all your system packages are up-to-date

sudo apt-get update
sudo apt-get upgrade

Step 2. Installing Sublime Text on Ubuntu 18.04 LTS.

First add Sublime Text signing key and repository:

wget -qO - https://download.sublimetext.com/sublimehq-pub.gpg | sudo apt-key add -
apt-add-repository "deb https://download.sublimetext.com/ apt/stable/"

Once you’ve added the repo you can go ahead and run an update and install the app:

apt install sublime-text

When installation is complete you can launch the app from your desktop app launcher or start Sublime Text editor on your Ubuntu 18.04 system open up terminal and enter:

subl

Congratulation’s! You have successfully installed Sublime Text 3. Thanks for using this tutorial for installing Sublime Text editor on Ubuntu 18.04 LTS Bionic Beaver systems. For additional help or useful information, we recommend you to check the official Sublime Text web site.

How To Install Pip on Ubuntu 18.04 LTS

Install Pip on Ubuntu 18

The Pip command is a tool for installing and managing Python packages, such as those found in the Python Package Index. With the help of pip you can also install the package of particular version. Most importantly pip has a feature to manage full lists of packages and corresponding version numbers, possible through a “requirements” file. It performs the same basic job as easy_install, but with some extra features.

This article assumes you have at least basic knowledge of linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo’ to the commands to get root privileges. I will show you through the step by step installation Pip Python on a Ubuntu 18.04 LTS (Bionic Beaver) server.

Install Pip on Ubuntu 18.04 LTS Bionic Beaver

Step 1. First make sure that all your system packages are up-to-date by running these following apt-get commands in the terminal.

sudo apt-get update
sudo apt-get upgrade

Step 2. Installing PIP on Ubuntu 18.04 LTS.

Install the pip by using apt-get command:

apt install python-pip

Once the installation is completed you can verify that it was successful by using the following command:

pip --version

Step 3. Basic Usage pip command.

After installing python-pip package, the pip command will be available on system. There are multiple options available with pip command:

To install new python package type:

pip install Package_Name

To uninstall python package installed by pip type:

pip uninstall Package_Name

To search python package type:

pip search Package_Name

For more Pip options and usage examples you can use the –help flag:

[[email protected] ~]# pip --help

Usage:   
  pip <command></command> [options]

Commands:
  install                     Install packages.
  uninstall                   Uninstall packages.
  freeze                      Output installed packages in requirements format.
  list                        List installed packages.
  show                        Show information about installed packages.
  search                      Search PyPI for packages.
  wheel                       Build wheels from your requirements.
  zip                         DEPRECATED. Zip individual packages.
  unzip                       DEPRECATED. Unzip individual packages.
  bundle                      DEPRECATED. Create pybundles.
  help                        Show help for commands.

General Options:
  -h, --help                  Show help.
  -v, --verbose               Give more output. Option is additive, and can be used up to 3 times.
  -V, --version               Show version and exit.
  -q, --quiet                 Give less output.
  --log-file            Path to a verbose non-appending log, that only logs failures. This
                              log is active by default at /home/sharad/.pip/pip.log.
  --log                 Path to a verbose appending log. This log is inactive by default.
  --proxy              Specify a proxy in the form [user:passwd@]proxy.server:port.
  --timeout              Set the socket timeout (default 15 seconds).
  --exists-action     Default action when a path already exists: (s)witch, (i)gnore,
                              (w)ipe, (b)ackup.
  --cert                Path to alternate CA bundle.
[[email protected] ~]#

Congratulation’s! You have successfully installed Pip. Thanks for using this tutorial for installing Pip Python on Ubuntu 18.04 LTS Bionic Beaver system. For additional help or useful information, we recommend you to check the official Python web site.

How To Install TensorFlow on Ubuntu 18.04 LTS

Install TensorFlow on Ubuntu 18

TensorFlow is a free and open source platform for machine learning built by Google. It is used by a number of organizations including Twitter, PayPal, Intel, Lenovo, and Airbus. TensorFlow can be installed system-wide, in a Python virtual environment or as a Docker container using pip.

This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo’ to the commands to get root privileges. I will show you through the step by step installation TensorFlow on a Ubuntu 18.04 (Bionic Beaver) server.

Install TensorFlow on Ubuntu 18.04 LTS Bionic Beaver

Step 1. First, make sure that all your system packages are up-to-date by running these following apt-get commands in the terminal.

sudo apt update
sudo apt upgrade

Step 2. Installing Python 3 and venv.

Run the commands below to install Python and Python venv:

sudo apt install python3 python3-pip python3-venv

To verify what version of Python is installed, run the commands below:

python3 -V

Step 3. Creating a Virtual Environment.

Now, we create a new directory for the TensorFlow project and navigate into it:

mkdir my_tensorflow
cd my_tensorflow

Once inside the directory, run the following command to create the virtual environment:

python3 -m venv venv

To start using this virtual environment, you need to activate it by running the activate script:

source venv/bin/activate

Step 4. Installing TensorFlow on Ubuntu.

Now that the virtual environment is activated, it’s time to install the TensorFlow package:

pip install --upgrade tensorflow

To verify the installation use the following command which will print the TensorFlow version:

python -c 'import tensorflow as tf; print(tf.__version__)'

Congratulation’s! You have successfully installed TensorFlow. Thanks for using this tutorial for installing TensorFlow on Ubuntu 18.04 systems. For additional help or useful information, we recommend you to check the official TensorFlow website.