How To Make Jupyter Notebook Run Faster

Now Python is more straightforward in Jupyter. As I develop artificial intelligence, I often demonstrate my research results to leaders. There is nothing about the APIs that requires Jupyter, but you may find it to be a handy tool when working with Python and the APIs. If you are interested in more historical details read the blog posts of Fernando Pérez and Karlijn. Insights from Cyrille Rossant, Data Scientist and researcher of Neuroscience on why data scientists love using Jupyter notebooks for their projects. gz with all files in the current folder (including subfolders) and compress it to a single archive. Run following commands on Linux: (Windows users will need to adapt these commands for their env). After installing Anaconda as shown above, a Python kernel is the default installation. ipynb extension on GitHub, they will render as static HTML files in your repository. c file from the. Before cleaning a laptop, we suggest the laptop first be turned off and unplugged. Reproducible Notebooks. Running Jupyter notebooks on AWS gives you the same experience as running on your local machine, while allowing you to leverage one or several GPUs on AWS. 28 Jupyter Notebook Tips, Tricks, and Shortcuts Jupyter Notebook Jupyter notebook, formerly known as the IPython notebook, is a flexible tool that helps you create readable analyses, as you can keep code, images, comments, formulae and plots together. ipynb" file to start up the exact notebook you are looking at right now. Also, you can make the Opera browser start even faster by delaying loading of background tabs. In that case, simply make sure your host machine has the necessary bits to run a jupyter notebook, and make sure your machine has a proper CUDA install, workable from python. Running selected code in a kernel. Looking to wipe your PC using Windows 10.



The notebook is capable of running code in a wide range of languages. While you can run chunks (and even individual lines of R code!) in any order you like, a fully reproducible document must be able to be re-executed start-to-finish in a clean environment. It is ideal for doing reproducible research. How to use Jupyter Notebook. If you are running the Deep Learning AMI with Conda or if you have set up Python environments, you can switch Python kernels from the Jupyter notebook interface. IPython (now Jupyter) was originally started by Fernando Perez as a way to improve the Python work flow for scientific computing. SageMath is an integrated collection of many mathematical libraries of interest to academics and applied. There is nothing about the APIs that requires Jupyter, but you may find it to be a handy tool when working with Python and the APIs. To do that, you will need save your Notebook and shut down the Jupyter Notebook server. This Jupyter Notebooks tutorial aims to straighten out some sources of confusion and spread ideas that pique your interest and spark your imagination. Coding in IPython on a Chromebook 2017-04-15 2017-04-15 ~ codetradr I just remembered that, several months ago, after my (Windows) PC got damaged, I took it for repair and I ended up looking for my old Chromebook. ★★ My Faster Pc 9 Download ★★ Fix, Clean [ MY FASTER PC 9 DOWNLOAD ] And Optimize PC! SPEED Up Your PC FREE Scan Now! (Recommended). The last two libraries will allow us to create web base notebooks in which we can play with python and pandas. team members) to collaborate on analytic use cases. Prerequisites. In this lab you will be introduced to Jupyter Notebooks on AWS. PixieDust is an open source add-on for Jupyter Notebooks to make working with data simple. I have both Python 2 and 3 installed on my 16.



As mention above, we run a few other tests on our notebooks - and those tests are written in python (this partially has to do with the fact that Jupyter used to be IPython Notebook). Notebook file One of the counterarguments that you constantly hear about using python is that it is slow. A notebook is useful to share interactive algorithms with your audience by focusing on teaching or. 5 environment. Do you use jupyter notebooks? And virtual environment too, right? And do you know how to use them together? Ah! I got you. I find it useful to store all notebooks on a cloud storage or a folder under version control, so I can share between multiple. Now we just need to turn it into an actual slideshow. Nowadays, the Jupyter notebook integrates multiple. However, each notebook is associated with a single kernel. Jupyter Notebook Extension. Checking AMI for functionality Once you have the software installed on your instance, it’s a good idea to make sure that Jupyter is working. 1) There are two steps required to secure the notebook. We did get interesting and impressive results on applying NoGAN to superresolution. To create a new subpage, do the following: On the right side of the OneNote program window, click the tab of the page under which you want to create a new subpage. ipynb notebook document file into another static format including HTML, LaTeX, PDF, Markdown, reStructuredText, and more. SageMath/Graph Theory. Home > How to Easily Optimize a Notebook Computer and Make it This article serves as a quick and easy guide to get your laptop computer to boot up and run faster simply by changing some basic. Command mode binds the keyboard to notebook level actions and is indicated by a grey cell border. The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects.



Because of these possibilities, Jupyter is fast turning into a major player in the scientific computing ecosystem. Jupyter Python Notebook Keyboard Shortcuts and Text Snippets for Beginners Here are some of the keyboard shortcuts and text snippets I've shared with others during Pair Programming sessions that have been well received. Jupyter Notebook: Pi Calculation script. But since its fast evolving infrastructure, methods and versions. If you use jupyter notebook, always make sure you activated the environment you installed fastai into before starting the notebook. 6, Windows 10. Room for Improvements We just started using the Commit-and-Push extension on a limited basis to evaluate its utility and points of failure. These instructions apply to Windows 7 only. To install findspark run the following command:. How to Navigate the Jupyter Ecosystem For Data Science Teams | February 28th, 2017. Now we just need to turn it into an actual slideshow. Working with SQL in Jupyter notebook and dumping pandas into a SQL database Alex Tereshenkov PostgreSQL , Python , SQL Server February 22, 2018 February 22, 2018 I have posted previously an example of using the SQL magic inside Jupyter notebooks. IPython is a Python library that was originally meant to improve the default interactive console provided by Python and to make it scientist-friendly. Here's a quick diagram of the whole process, I will discuss them one-by-one in the next section: Figure: A simple three-step process for running a remote Jupyter notebook. IPython (now Jupyter) was originally started by Fernando Perez as a way to improve the Python work flow for scientific computing. I tried to set the dtype to float when reading since it would make the reading process faster. Open a command window and navigate to the repository folder and execute jupyter notebook --NotebookApp. Welcome to Part II of "Advanced Jupyter Notebook Tricks. Click the plus sign (+) by Battery to display various battery notification and action options. How to make my laptop run faster.



It comes down to appearance versus performance. EXE icon and choose "Run as Administrator". You can run many copies of the Jupyter Notebook App and they will show up at a similar address (only the number after “:”, which is the port, will increment for each new copy). Saturn Cloud allows you to quickly spin up Jupyter notebooks in the cloud and scale them according to your needs. Run a notebook: Open a browser and go to (or whichever port the console says) You can make a new notebook by going to the top right New-> Python 3 Look for guides on setting up Jupyter on a GCP Compute Engine or AWS EC2 if you need a lot of computing resources. If it is a mix, then set the laptop up in a proper ergonomic keyboard setup. read_csv('data. 04 and I'm trying to create a script on the desktop that would start jupyter notebook from a certain directory, say ~/Notebook. To do that, you will need save your Notebook and shut down the Jupyter Notebook server. These instructions apply to Windows 7 only. Also, when you start up your computer, task kill things you won't be using. I am trying to run a simple sql query from Jupyter notebook and I am running into the below error: Failed to find data source: net. Using pluggable spawners, you can start a Jupyter Notebook Server for each user in many different ways. Jupyter Python Notebook Keyboard Shortcuts and Text Snippets for Beginners Here are some of the keyboard shortcuts and text snippets I've shared with others during Pair Programming sessions that have been well received. However, each notebook is associated with a single kernel. Save the disk image to replicate this environment on any virtual machine. How you can ditch PowerPoint and build better slides with Jupyter and Reveal.



Perhaps the most requested output is pdf format currently done in two-steps: html to latex to pdf 1. Exploring Pi with Jupyter & Azure Notebooks would require a very fast computer and a very complicated power series and a lot of time. There are other options to make the integration (create a jupyter profile for Spark) but up to date findspark is imho the faster and simpler one. Available on new PCs from. And since Panoply lives on top of Redshift, you'll also be able to connect any notebook directly to your Panoply data warehouse with the same code and get up and running quickly with tools you're probably already familiar with. This webinar will provide an overview of why Jupyter is gaining traction in education, data science, and HPC, with emphasis on how notebooks can be used as interactive documents. Because of these possibilities, Jupyter is fast turning into a major player in the scientific computing ecosystem. Each item has two subitems — one for settings when the laptop is on battery power and a second for when the laptop is plugged in. Insights from Cyrille Rossant, Data Scientist and researcher of Neuroscience on why data scientists love using Jupyter notebooks for their projects. However sometimes loops are unavoidable, and then python speed can get on to your nerves. ai course environment setup, latest code download and dogscats dataset download. Clicking on the notebook name brings up a dialog which allows you to rename it. #Load Data df = pd. Jupyter's wacky world of out-of-order execution has the power to faze, and when it comes to running notebooks inside notebooks, things can get complicated fast. The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects. In order to open this notebook as a slideshow I need to run a command in Terminal: jupyter nbconvert Jupyter\ Slides. Deleting unnecessary programs and files and running a few simple utilities are even easier and faster ways to get rid of. 2% of mybinder.



You upload a notebook file to your google drive (or create a new one). Would you rather have Windows run faster or look prettier? If your PC is fast enough, you don't have to make this tradeoff, but if your computer is just barely powerful enough for Windows 7, it can be useful to scale back on the visual bells and whistles. How do I get JupyterLab in SAS University Edition? How do I run JupyterLab in SAS University Edition using VirtualBox? How do I run JupyterLab in SAS University Edition using VMware Workstation Player or VMware Fusion? What is a Jupyter notebook? How do I use JupyterLab in SAS University Edition?. How to make Outlook run faster. You can now access all of the example Jupyter notebooks provided through Amazon SageMaker from a new “SageMaker Examples” tab on the Jupyter interface console to help you get started using machine learning even faster. Spilled coffee, soda or water on your laptop? Here's what you need to do It will absorb the moisture and remove substances that can damage the components in the long run. I have spark installed on my mac and jupyter notebook configured for running spark and i use the below command to launch notebook with Spark. along with an amazing set of widgets make it a very powerful and easy-to-use solution. To make a laptop run faster, check for viruses and remove them, defrag the hard drive, remove programs that are no longer needed, upgrade the hardware and reinstall the operating system. SageMath is a more powerful, but much larger, kernel that can be made available to Jupyter. The appearance is awful in order to make it faster and I've disabled everything. 52 - Updated Apr 26, Productivity library for Jupyter Notebook. Set up Anaconda + IPython + Tensorflow + Julia on a Google Compute Engine VM. Hopefully I can get it to run inside the notebook too. Make sure Jupyter, Notebook, and jupyter_kernel_gateway packages are installed. Save the disk image to replicate this environment on any virtual machine. Home > How to Easily Optimize a Notebook Computer and Make it This article serves as a quick and easy guide to get your laptop computer to boot up and run faster simply by changing some basic. At this time, I connect the Jupyter notebook installed on the server remotely because I only go to the.



Each item has two subitems — one for settings when the laptop is on battery power and a second for when the laptop is plugged in. team members) to collaborate on analytic use cases. - Make Windows startup faster than ever! Startup Faster! is a revolutionary tool that makes your computer startup much faster with hard disk protection from sudden crash. Or (depending on what operating system you're using), doubleclick the icon "Jupyter Notebook" or "JupyterLab" that is shown as one of the Anaconda-related tools. The vast range of programming languages covered – R, Python, Julia, MATLAB, etc. Before we can start using Ruby in notebooks, we first need to install the Ruby kernel. PixieDust is an extension to the Jupyter Notebook which adds a wide range of functionality to easily create customized visualizations from your data sets with little code involved. We have expanded the post and will continue to do so over time - if you have a suggestion please let us know in the comments. From the command palette select the command Jupyter: Run seletion/line. Select “Start”, followed by “Settings”. Please send any feedback or suggestions to @RNotebookHQ. ipynb" file to start up the exact notebook you are looking at right now. Jupyter Notebooks allow data scientists to create and share their documents, from codes to full blown reports. Running the notebook. The simplest way is with Spyder. To demonstrate, in this post (which is part of an open-ended series about doing data science on. It works for many langueges including MATLAB, the choice of this class. For a report, just schedule your notebooks to run on a recurring basis automatically and update its contents or email its results to colleagues. From the command palette select the command Jupyter: Run seletion/line The results will be displayed on the right hand side A status bar will appear with the name and status of the kernel.



Some of you probably remember the old days, when it was much harder. Next you will need to run the following command: jupyter nbconvert slideshow. com' # The port the notebook server will listen on. The notebook is capable of running code in a wide range of languages. March 15, 2012 2:00 and your machine may go to sleep a little faster when you walk away from your desk. It allows you to combine codes, simulation results, and descriptions such as latex equations in a single file. Sharks notebook: Prospects quickly making impression at development camp By Chelena Goldman June 26, 2019 8:18 PM SAN JOSE -- How the Sharks' prospects perform during this week's development camp might not bear much weight on who makes the NHL roster in October. There are two ways to start a Jupyter notebook or lab. Updating your laptop regularly will fix bugs, allowing your laptop to run smoother and faster. Running Jupyter notebooks on AWS gives you the same experience as running on your local machine, while allowing you to leverage one or several GPUs on AWS. Although it is possible to use many different programming languages within Jupyter Notebooks, this article will focus on Python as it is the most common use case. An average PC configuration can compete with high-end Android devices when using BlueStacks. The Jupyter widget we'll create in this example will allow us to add Britecharts to our Jupyter notebook. You might want them to spawn on a node with docker containers , scale them out with Kubernetes , use it on your HPC cluster , have them run along your Hadoop / Spark cluster , contain them with systemd , simply run them as different linux. Insights from Cyrille Rossant, Data Scientist and researcher of Neuroscience on why data scientists love using Jupyter notebooks for their projects. How can I make my computer run faster. In some way, Jupyter Notebook can be seen as an extension of the console, but with a lot richer display system. Outputting Beautiful Jupyter Notebooks (R-Kernel Edition) Amanda Birmingham (abirmingham at ucsd. I also had to add the path to sspiauth.



To demonstrate, in this post (which is part of an open-ended series about doing data science on. IPython (now Jupyter) was originally started by Fernando Perez as a way to improve the Python work flow for scientific computing. The first thing you should do is check the system requirements to make sure your Mac can actually run Windows 10. In this post, I will show you how to install and run PySpark locally in Jupyter Notebook on Windows. Save the disk image to replicate this environment on any virtual machine. CoCalc is an online web service where you can run Jupyter notebooks right inside your browser. You can also use Jupyter Notebooks the same way. How to make your pc/laptop run faster (3 simple steps) how to make your pc faster,how to,how to make your pc run faster,how to make your pc look cool,Windows 7 (Operating System),mac,apple. To do that, you will need save your Notebook and shut down the Jupyter Notebook server. This is the. "Quick guide to run TensorBoard in Google Colab", - Colab notebook direct link. Making Git and Jupyter Notebooks play nice Summary: jq rocks for speedy JSON mangling. You'll discover how to use these notebooks, how they compare to one another and what other alternatives exist. For every data node that Spark will run on, Python 2. For most of the geoscientific applications main advice would be to use vectorisation whenever possible, and avoid loops. What I want to do is to run the Sage notebook in such a way that I can load files from its current working directory.



Laptops execute tasks slowly for a variety of reasons—you may simply have too many tabs and programs open or there may be several programs running in the background that you are unaware of. sagews vs jupyter notebook, and choices of kernels. It is also important to make sure the browser is told to scroll to a point where an element can be seen before the instruction to interact with that element is given. I hear that @danielskatz is looking for a good hands-on introduction to Jupyter Notebooks (the document specification, the interface, etc). But since its fast evolving infrastructure, methods and versions. Using MATLAB in Jupyter notebooks on Windows Posted on 2017-07-29 2017-11-07 by Eryk Walczak After using R notebooks for a while I found it really unintuitive to use MATLAB in IDE. First and foremost, the Jupyter Notebook is an interactive environment for writing and running code. Best Answer: To make your pc run faster, delete and uninstall programs you don't want or need. In this brief tutorial, I'll go over, step-by-step, how to set up PySpark and all its dependencies on your system and integrate it with Jupyter Notebook. Sign In to the Console Try AWS for Free Deutsch English Español Français Italiano 日本語 한국어 Português 中文 (简体) 中文 (繁體). com' # The port the notebook server will listen on. c file from the. Since a serialized jupyter notebook contains cell output, it should be possible to keep track of output when a user closes a tab and returns to the notebook by adding to the notebook json as it runs in the background, in which case the output generated while running in the background would be in the notebook. This will start the Jupyter server locally with authentication disabled and open the notebook dashboard in a browser window. To make the connection faster, you can follow below instructions: First, make sure you install Jupyter notebook in both remote (working station in your offcie) and local (your home computer) In remote host, open the terminal, change directory to where you have your notebooks and type:. To interactively guide undergraduate students through the basics of HPC, we created an open-access course using Jupyter notebooks. Since then it has grown in popularity, and gaining to the ability to make XKCD styled plots using matplotlib hasn't hurt. Set up a Jupyter notebook server to run deep learning tutorials on a Deep Learning AMI. How to Navigate the Jupyter Ecosystem For Data Science Teams | February 28th, 2017.



We will use the official tensorflow docker image as it comes with Jupyter notebook. Saturn Cloud allows you to quickly spin up Jupyter notebooks in the cloud and scale them according to your needs. gz file is never included in the archive. Working with Jupyter Notebook files on GitHub When you add Jupyter Notebook or IPython Notebook files with a. “Right now if you make a Mathematica notebook and you try to send that to a journal,” Gray says, “they’re gonna complain: Well, we don’t have Mathematica, this is an expensive product. #Load Data df = pd. If you are running the Deep Learning AMI with Conda or if you have set up Python environments, you can switch Python kernels from the Jupyter notebook interface. 10) kaggle/python jupyter notebook -- This reads a little strangely, but it's actually the docker image name first, followed by a command line to run within it after it starts. Connectify Hotspot is available for Windows 10, Windows 8, and Windows 7 as well as Windows Server 2008 R2 and Server 2012. Run through a quick task analysis to determine what the main thing you will be doing is. Prerequisites. This power of Jupyter Notebook can be witnessed live in the gallery of interesting Jupyter Notebooks. For a report, just schedule your notebooks to run on a recurring basis automatically and update its contents or email its results to colleagues. Disable Transparency Effects. And since Panoply lives on top of Redshift, you'll also be able to connect any notebook directly to your Panoply data warehouse with the same code and get up and running quickly with tools you're probably already familiar with. If you are interested in more historical details read the blog posts of Fernando Pérez and Karlijn. Since then it has grown in popularity, and gaining to the ability to make XKCD styled plots using matplotlib hasn't hurt. - Make Laptop Run Faster For Free.



First and foremost, the Jupyter Notebook is an interactive environment for writing and running code. pip install jupyter in case of running a notebook server on bioclust , we need to use a virtual environment for the installation pip install numpy scipy tornado pyzmq pandas ipython pygments matplotlib jinja2 jupyter. In order to open this notebook as a slideshow I need to run a command in Terminal: jupyter nbconvert Jupyter\ Slides. - Make Windows Xp Run Faster. ipynb file to PDF with Jupyter's method which uses pdflatex (see below for why it didn't work), so I used an alternative method:. If you are running the Deep Learning AMI with Conda or if you have set up Python environments, you can switch Python kernels from the Jupyter notebook interface. Converting Jupyter Notebooks to PDFs (debugging pdflatex errors) Jessica Yung 09. Using Docker to run Jupyter notebook locally. The Windows Registry is a database that holds your operating system's configurations and settings. If it is a mix, then set the laptop up in a proper ergonomic keyboard setup. Learn to use vectorization to speed up your models. When you're using the Python backend to the Jupyter Notebook, IPython, which is also known as the kernel, you might want to make use of the following tricks to gain access to functionalities that will make your programming faster, easier, and more interactive. Running Code in Cells or Run All, or Run Cells and Select Below. A complication is that I needed my input data to be stored on Google Cloud Storage. Jupyter Notebook has many kernels in different languages, the default being IPython. the faster they. Jupyter can sometimes be tricky to setup for remote access. GameGain 4 - Make Games Run Faster. While most laptops are more than enough for the basic tasks one encounters when starting out in data science, you might quickly hit barriers once you start doing machine learning, especially deep learning, tasks on your local machine. Jupyer Notebook --> IPython kernel which is probably the setup you started with.



1 with Anaconda on a Windows machine. EXE icon and choose "Run as Administrator". « Project Jupyter and IPython; Try Jupyter » Jupyter Notebook Quickstart. Run your Jupyter R notebooks in the cloud. Fortunately there are several easy ways to make your python loops faster. Installing Jupyter with pip. While you can run chunks (and even individual lines of R code!) in any order you like, a fully reproducible document must be able to be re-executed start-to-finish in a clean environment. Set the battery-level warnings. To create the new environment for Python 3. Here is my list of 10 tips on structuring Jupyter notebooks, I worked out over the time. big cells - now i move my big functions to. The NotebookModel cell list provides ways to do fine-grained changes to the cell list. what Jupyter does it saves exactly how the notebook looks at the time. The Windows Registry is a database that holds your operating system's configurations and settings. Jupyter Notebook has many kernels in different languages, the default being IPython. There’s a built-in command to do this, too, so it’s easy to test your notebooks for reproducibility. Jupyter stores a list of keybord shortcuts under the menu at the top: Help > Keyboard Shortcuts, or by pressing H in command mode (more on that later).



If you click the run button in your tool bar with a Raw Cell selected, the cell will remain exactly as is and your Jupyter Notebook will automatically select the cell directly below it. As discussed in the introduction, Jupyter notebooks provide a tremendous advantage for scientific computing, analysis and visualization. I already used Disk Clean up and I can't add any more ram. After that, it should run faster. Since then it has grown in popularity, and gaining to the ability to make XKCD styled plots using matplotlib hasn't hurt. Everyone loves a good Jupyter Notebook. This tutorial assumes you are using a Linux OS. 2, Hadoop — 2. Next you will need to run the following command: jupyter nbconvert slideshow. Sign In to the Console Try AWS for Free Deutsch English Español Français Italiano 日本語 한국어 Português 中文 (简体) 中文 (繁體). How do I get JupyterLab in SAS University Edition? How do I run JupyterLab in SAS University Edition using VirtualBox? How do I run JupyterLab in SAS University Edition using VMware Workstation Player or VMware Fusion? What is a Jupyter notebook? How do I use JupyterLab in SAS University Edition?. ipynb notebook document file into another static format including HTML, LaTeX, PDF, Markdown, reStructuredText, and more. It works for many langueges including MATLAB, the choice of this class. If your institute or company wants to help run mybinder. By going through these proven tips on how to make computer faster you must have by this time realized that making your Computer or Laptop run faster is not at all a difficult task and, in most cases, not expensive also. ★★ Registry Reviver 2 Download ★★ Fix, Clean [ REGISTRY REVIVER 2 DOWNLOAD ] And Optimize PC! SPEED Up Your PC FREE Scan Now! (Recommended). The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects.



You upload a notebook file to your google drive (or create a new one). From the command palette select the command Jupyter: Run seletion/line. You might want them to spawn on a node with docker containers , scale them out with Kubernetes , use it on your HPC cluster , have them run along your Hadoop / Spark cluster , contain them with systemd , simply run them as different linux. How could I connect several PC's and make them work together like parallel computing, o something likea super computer? Any ones help would be greatly appreciated. There are other options to make the integration (create a jupyter profile for Spark) but up to date findspark is imho the faster and simpler one. I'm on Ubuntu 16. the faster they. Run a notebook: Open a browser and go to (or whichever port the console says) You can make a new notebook by going to the top right New-> Python 3 Look for guides on setting up Jupyter on a GCP Compute Engine or AWS EC2 if you need a lot of computing resources. If you click the run button in your tool bar with a Raw Cell selected, the cell will remain exactly as is and your Jupyter Notebook will automatically select the cell directly below it. You can change out jupyter notebook for /bin/bash in order to get a shell prompt (and use exit to get back out). Converting Jupyter Notebooks to PDFs (debugging pdflatex errors) Jessica Yung 09. Perhaps the most requested output is pdf format currently done in two-steps: html to latex to pdf 1. You cou;d even execute entire notebooks this way. To install findspark run the following command:. Beyond Jupyter: what’s in a notebook? Yesterday I participated (as a visitor) in the kickoff meeting for OpenDreamKit , where one recurrent topic of discussion was notebooks, both Jupyter and Sage , including the question if they could be brought together. This post is going to be the first in a series of posts about the Jupyter Notebook and the supercomputing facility 'iceberg' at Sheffield University. Come back to colab notebook, add a new code block, paste the snippet there (prepending with an !), and run the block. In the previous post, I introduced the basic concepts of Jupyter Notebooks and showed you how to deploy a basic notebook environment. How To Make Jupyter Notebook Run Faster.