Lenora  Hauck

Lenora Hauck

1593678180

How to Install, Run, and Connect to Jupyter Notebook

Jupyter Notebook is an open-source web application that lets you create and share interactive code, visualizations, and more. This tool can be used with several programming languages, including Python, Julia, R, Haskell, and Ruby. It is often used for working with data, statistical modeling, and machine learning.

Jupyter Notebooks (or just “Notebooks”) are documents produced by the Jupyter Notebook app which contain both computer code and rich text elements (paragraph, equations, figures, links, etc.) which aid in presenting and sharing reproducible research. They can therefore be an excellent tool to use for data-driven or programming-based presentations, or as a teaching tool.

This tutorial will walk you through setting up Jupyter Notebook to run from an Ubuntu 20.04 server, as well as demonstrate how to connect to and use the notebook from a local machine via tunnelling. By the end of this guide, you will be able to run Python 3 code using Jupyter Notebook running on a remote server.

Prerequisites

In order to complete this guide, you should have a fresh Ubuntu 20.04 server instance with a basic firewall and a non-root user with sudo privileges configured. You can learn how to set this up by running through our initial server setup tutorial.

#jupyter notebook #ubuntu

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Buddha Community

How to Install, Run, and Connect to Jupyter Notebook

Rodrigo Senra - Jupyter Notebooks

Nosso convidado de hoje é diretor técnico na Work & Co, PhD em Ciências da Computação, já contribuiu com inúmeros projetos open source em Python, ajudou a fundar a Associação Python Brasil e já foi premiado com o Prêmio Dorneles Tremea por contribuições para a comunidade Python Brasil.

#alexandre oliva #anaconda #apache zeppelin #associação python brasil #azure notebooks #beakerx #binder #c++ #closure #colaboratory #donald knuth #fernando pérez #fortran #graphql #guido van rossum #ipython #java #javascript #json #jupyter kenels #jupyter notebooks #jupyterhub #jupyterlab #latex #lisp #literate programming #lua #matlab #perl #cinerdia #prêmio dorneles tremea #python #r #rodrigo senra #scala #spark notebook #tcl #typescript #zope

PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

In our previous posts in this series, we spoke at length about using PgBouncer  and Pgpool-II , the connection pool architecture and pros and cons of leveraging one for your PostgreSQL deployment. In our final post, we will put them head-to-head in a detailed feature comparison and compare the results of PgBouncer vs. Pgpool-II performance for your PostgreSQL hosting !

The bottom line – Pgpool-II is a great tool if you need load-balancing and high availability. Connection pooling is almost a bonus you get alongside. PgBouncer does only one thing, but does it really well. If the objective is to limit the number of connections and reduce resource consumption, PgBouncer wins hands down.

It is also perfectly fine to use both PgBouncer and Pgpool-II in a chain – you can have a PgBouncer to provide connection pooling, which talks to a Pgpool-II instance that provides high availability and load balancing. This gives you the best of both worlds!

Using PgBouncer with Pgpool-II - Connection Pooling Diagram

PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

CLICK TO TWEET

Performance Testing

While PgBouncer may seem to be the better option in theory, theory can often be misleading. So, we pitted the two connection poolers head-to-head, using the standard pgbench tool, to see which one provides better transactions per second throughput through a benchmark test. For good measure, we ran the same tests without a connection pooler too.

Testing Conditions

All of the PostgreSQL benchmark tests were run under the following conditions:

  1. Initialized pgbench using a scale factor of 100.
  2. Disabled auto-vacuuming on the PostgreSQL instance to prevent interference.
  3. No other workload was working at the time.
  4. Used the default pgbench script to run the tests.
  5. Used default settings for both PgBouncer and Pgpool-II, except max_children*. All PostgreSQL limits were also set to their defaults.
  6. All tests ran as a single thread, on a single-CPU, 2-core machine, for a duration of 5 minutes.
  7. Forced pgbench to create a new connection for each transaction using the -C option. This emulates modern web application workloads and is the whole reason to use a pooler!

We ran each iteration for 5 minutes to ensure any noise averaged out. Here is how the middleware was installed:

  • For PgBouncer, we installed it on the same box as the PostgreSQL server(s). This is the configuration we use in our managed PostgreSQL clusters. Since PgBouncer is a very light-weight process, installing it on the box has no impact on overall performance.
  • For Pgpool-II, we tested both when the Pgpool-II instance was installed on the same machine as PostgreSQL (on box column), and when it was installed on a different machine (off box column). As expected, the performance is much better when Pgpool-II is off the box as it doesn’t have to compete with the PostgreSQL server for resources.

Throughput Benchmark

Here are the transactions per second (TPS) results for each scenario across a range of number of clients:

#database #developer #performance #postgresql #connection control #connection pooler #connection pooler performance #connection queue #high availability #load balancing #number of connections #performance testing #pgbench #pgbouncer #pgbouncer and pgpool-ii #pgbouncer vs pgpool #pgpool-ii #pooling modes #postgresql connection pooling #postgresql limits #resource consumption #throughput benchmark #transactions per second #without pooling

Lenora  Hauck

Lenora Hauck

1593678180

How to Install, Run, and Connect to Jupyter Notebook

Jupyter Notebook is an open-source web application that lets you create and share interactive code, visualizations, and more. This tool can be used with several programming languages, including Python, Julia, R, Haskell, and Ruby. It is often used for working with data, statistical modeling, and machine learning.

Jupyter Notebooks (or just “Notebooks”) are documents produced by the Jupyter Notebook app which contain both computer code and rich text elements (paragraph, equations, figures, links, etc.) which aid in presenting and sharing reproducible research. They can therefore be an excellent tool to use for data-driven or programming-based presentations, or as a teaching tool.

This tutorial will walk you through setting up Jupyter Notebook to run from an Ubuntu 20.04 server, as well as demonstrate how to connect to and use the notebook from a local machine via tunnelling. By the end of this guide, you will be able to run Python 3 code using Jupyter Notebook running on a remote server.

Prerequisites

In order to complete this guide, you should have a fresh Ubuntu 20.04 server instance with a basic firewall and a non-root user with sudo privileges configured. You can learn how to set this up by running through our initial server setup tutorial.

#jupyter notebook #ubuntu

Kennith  Blick

Kennith Blick

1625786460

How to Install and Important Concepts - Jupyter Notebook Tutorial #1

In this Python tutorial you will start learning how to deal with Jupyter Notebooks. This video will cover how to install Jupyter Notebook library and the basic concepts you need to know to get started and take full advantage of this great tool.

Jupyter Notebook is a web application where you can combine code, texts and media of any kind to document your work, assignments, demonstrations or even prepare classes to your students. It is widely used by scientists, researches and the scientific community. This is a great tool to know. Let’s get started!

Playlist: Jupyter Notebook | Video #1
Access the code here: https://github.com/rscorrea1/youtube.git

Scientific Python Lectures by J.R Johansson
Access the material here: https://github.com/jrjohansson/scientific-python-lectures

Timestamp:
0:00 - Start of the video
1:14 - How to install (conda and pip)
1:51 - How to start the notebook server
2:23 - Notebook Dashboard
3:28 - How to run a cell (and shortcut)
4:02 - Important Concepts
6:12 - Command and Edit Modes
8:14 - Code and Markdown Cells
10:46 - Wrapping up

#jupyter #jupyter notebook tutorial

Yogi Gurjar

1600307091

How to Install Laravel 8 on Windows 10 Xampp

How to install laravel 8 on windows 10. In this tutorial, i would love to share with you how to install laravel 8 on windows 10.

How to Install Laravel 8 on Windows 10 Xampp

Installing laravel 8 on windows 10 xampp server step by step:

  1. Step 1 – Prerequisiteto Install Composer On Windows
  2. Step 2 – Server Requirements For Laravel 8
  3. Step 3 – Installing Laravel On Windows 10 Xampp
  4. Step 4 – Start Development Server For Laravel 8

https://laratutorials.com/installing-laravel-8-on-windows-10-xampp/

#install laravel on windows xampp #how to install laravel in windows 10 xampp #install xampp on windows 10 laravel installation steps #laravel installation steps #how to run laravel project on localhost xampp