Jul 18, 2018 Go download Fluid App, it can turn any URL into native macOS app. Enter the U RL, app name, provide an app icon, and you are done! Jupyter as Native App: Tabs / address bar / bookmarks are gone. Create or open a Jupyter Notebook. You can create a Jupyter Notebook by running the Python: Create Blank New Jupyter Notebook command from the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)) or by creating a new.ipynb file in your workspace. When you select the file, the Notebook Editor is launched allowing you to edit and run code cells. Mac Os X come with Pythong 2.7 pre-installed but many Machine Learning packages are progressing to Python 3.x. Therefore, it's recommended you start using Python 3 and the best way to do that is to first install pyenv version manager. This will allow you to install any version of Python you'd like. First update Homebrew package manager. This app allows you to convert Jupyter Notebooks (ipynb) to HTML, PDF format. It is easy to use, With just a few clicks, you can get the converted HTML or PDF, and View this file from your browser directly. An IPYNB file is a notebook document used by Jupyter Notebook, an interactive computational environment designed to help scientists work. Nov 07, 2018 Mac Os X come with Pythong 2.7 pre-installed but many Machine Learning packages are progressing to Python 3.x. Therefore, it's recommended you start using Python 3 and the best way to do that is to first install pyenv version manager. This will allow you to install any version of Python you'd like. First update Homebrew package manager.
![Macos Macos](/uploads/1/3/3/9/133912786/684739968.jpg)
Let’s say you’re a data scientist, and you’ve been asked to solve a problem. Of course, what you really want is to build an interactive tool, so your colleagues can solve the problem themselves!
In this tutorial, we take a machine-learning model in a Jupyter notebook, and turn it into a web application using the Anvil Uplink:
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Want to know more?
Read about the Uplink in the Anvil reference docs.
Topics Covered
How the connection is made | 0:21 - 0:45
We use the Anvil Uplink to connect a Jupyter Notebook to Anvil. It’s a library you can
pip install
on your computer orwherever your Notebook is running.It allows you to: - call functions in your Jupyter Notebook from your Anvil app - call functions in your Anvil app from your Juypter Notebook - store data in your Anvil app from your Jupyter Notebook - use the Anvil server library inside your Jupyter Notebook
It works for any Python process - this happens to be a Jupyter Notebook, but it could be an ordinary Python script,a Flask app, even the Python REPL!
Running on-site | 0:45 - 1:02
Doing this 100% on-site in your own private network is supported. You get your own private version of the Anvil server(it’s three Docker containers) and the system runs as before, but all within your network.
Read this article for more information.
Plan of action | 1:02 - 1:10
Jupyter Notebook Macos App Setup
We’re going to: 1. Set up a Jupyter Notebook 2. Connect it to an Anvil app 3. Build a user interface to our model
Setting up the Jupyter Notebook | 1:10 - 1:22
We start with a pre-existing Jupyter Notebookcontaining a classification model that distinguishes between cats and dogs. You give it an image and it scores it as ‘cat’ or ‘dog’.
Our thanks to Uysim Ty for sharing it on Kaggle.
Making the connection | 1:22 - 1:54
We enable the Anvil Uplink and connect the notebook.
First, we enable the Uplink in the Anvil IDE.
Then we
pip install
the Uplink library on the machine the Jupyter Notebook is running on:By adding the following lines, we connect the Jupyter Notebook to our Anvil app:
Now our Jupyter Notebook can do anything we can do in an Anvil Server Module - call Anvil server functions,store data in Data Tables, and define server functions to be called from other parts of the app.
Loading an image into the Notebook | 1:54 - 3:14
We load the image into the Jupyter Notebook by making an
anvil.server.callable
function in the Jupyter Notebook:This function can be called from the client-side code (and server-side code) of our Anvil app.
We’re passing the image in as an Anvil Media object, which we then write to a temporary file.
The
load_img
function loads the file into Pillow, a Python imaging library.Jupyter Notebook Tutorial
Then we can do a bit of post-processing of the image to get it into a format that the model likes:
Then we can just pass it into our model and return the result:
Building a User Interface | 3:14 - 3:45
We drag-and-drop components to create a User Interface. It consists of a FileLoader to upload the images, an Imageto display them, and a Label to display the classification.
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Making the User Interface call the Jupyter Notebook | 3:45 - 4:32
Now to write some Python code that runs in the browser so the app responds when an image is loaded in.
We define an event handler that triggers when the FileLoader gets a new file:
The first line calls the
classify_image
function in the Jupyter Notebook, passing in the image file.Then we display the result (cat or dog) and the score (0 to 1; completely dog or completely cat).
We also put the image file into the Image component so that the user can see their cat or dog (or other cat-or-dog-likeimage) and decide if they agree with the result.
It works! Now to publish it | 4:32 - 5:10
We give it a quick test by uploading an image of a cat - yes, it works, that’s a cat.
It’s already published at a private URL. By click a button and entering our chosen domain name,we made it public at https://cat-or-dog.anvil.app.
Try it for yourself
Build this app for yourself - Sign up and follow along, or watch more tutorials in the Anvil Learning Centre.
The Jupyter Notebook is available on Kaggle - our thanks to Uysim Ty, its creator.
Next up
If you’d like to learn the basics of Anvil, start with the Hello, World! tutorial.
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Maviss90 wrote:I tried the free trial version of PhoneView and I agree that it's pretty useful and much better than the similar iPhone mangers out there like Wondershare Tunesgo (I don't remember the exact name) but still I didn't purchase the full version because I just wanted to save my text messages.If you save them more than a couple of times, it's probably worth it. So Messages data isn't available to any other app. the backup only saves current SMS/iMessage, which means that if you manually delete from the iPhone the messages, it will also delete from the backup next time the backup syncs. This therefore doesn't allow 'archiving'.So the first solution is best if you have a Mac, especially since it's for legal reasons, for which it is recommended to have 2 versions of the files.Hope this helps ?: Also, you'll probably never find an app that syncs messages, since iOS is a sandbox OS, meaning the Apps don't have access to the data of other apps. If the iPhone is lost/dies, you'll be able to recover the messages only by putting the backup on a newly reset/bought iPhone. Best app to transfer text messages from iphone to mac.
If you’d like to learn more about the Uplink, you can read the reference docs.