HOT! Download Jupyter Notebook On Ubuntu

Hi, we have some examples for using brainrender in Jupyter noteboks that could be helpful: brainrender/notebook_workflow.ipynb at b414cebfc19a4ad8a230fe87eab6b68b562d3069 brainglobe/brainrender GitHub

It was discovered that Jupyter Notebook incorrectly handled certain notebooks.

An attacker could possibly use this issue of lack of Content Security Policy

in Nbconvert to perform cross-site scripting (XSS) attacks on the notebook

server. This issue only affected Ubuntu 18.04 LTS. (CVE-2018-19351)

Download Jupyter Notebook On Ubuntu

DOWNLOAD 🔥 https://shurll.com/2y4Cwf 🔥

It was discovered that Jupyter Notebook incorrectly filtered certain URLs to a

notebook. An attacker could possibly use this issue to perform open-redirect

attack. This issue only affected Ubuntu 18.04 LTS and Ubuntu 20.04 LTS.

(CVE-2020-26215)

It was discovered that Jupyter Notebook server access logs were not protected.

An attacker having access to the notebook server could possibly use this issue

to get access to steal sensitive information such as auth/cookies.

(CVE-2022-24758)

Jupyter Notebook is a powerful web-based interactive dev tool which allows you to create and share live code, visualizations, and interactive data. Its notebook format combines code and text, making it an excellent choice for data exploration, analysis, and collaborative projects.

When I try to run Sage with commands like "sage -n jupyter" or "sage --notebook", it starts Sage, but doesn't automatically open the jupyter notebook in my browser. Instead, it opens a file in a text editor. I can copy the link mentioned in the terminal output (that is produced when I run Sage) into a browser and that works, but I'd like it to open automatically, so that I can create an easy shortcut to start Sage. Following some instructions I found on wiki.sagemath.org, I created a config file using "sage --jupyter notebook --generate-config", and then I opened the config file and changed the option use_redirect_file to False. But it still doesn't work. Any suggestions?

Somehow I got it to work by reseting my jupyter config file and starting again. I must have been making a typo somewhere. I changed "use_redirect_file" to False in my jupyter config file, then added the "export BROWSER" command to my .bashrc file. Now running sage from Ubuntu launches the browser. But the Window shortcut doesn't work. Based on the question you posted on learn.microsoft.com, I think you're having the same problem. I'm running Ubuntu 22.04.

Could you specify which Windows OS you are using and which Sagemath version and which Ubuntu version, because the solution which consists in adding c.NotebookApp.use_redirect_file = False in jupyter_notebook_config.py was sufficient for W10, but is no longer sufficient for W11.

When I tried importing it using the import command in the in the upper right hand corner of the jupyter notebook (see first attached image) it either would not import or if it did import it gave a short message that the file cannot be imported because it it not UTF-8 encoded.

I would like to setup a Jupyter notebook with a R kernel in Linux (preferably Ubuntu, but I should probably be able to handle Debian). It will run on a remote server, and preferably in a Docker container, even if I may be able to make some preliminary experiments locally.

Can you point me to any useful resources? What should I install first of all? I guess I should use apt-get to install Python, R and Pip first of all. Then, pip install jupyter to install Jupyter. But after that, what else do I need to install in order for Jupyter to run a R kernel, instead than a Python one?

This worked perhaps :- `gaurav@gaurav-X555LAB:~$ sudo pip uninstall jupyter_coreThe logs are here:- removed a lot of packages just do not know everything wiped out or not.So I hope it's removed now , tell me if something went wrong here and if more needs to be done.

The Jupyter Project is a non-profit initiative that aims to develop and provide open-source software and open standards for interactive work. One of the most famous products of the project is Jupyter Notebook. It is software for sharing and creating interactive worksheets that work on the client-server principle. In a Jupyter notebook, numbers, text, graphics, and executable program code can be combined and made available to users. Other products include JupyterLab, JupyterHub, and Voil.

After you have installed the Jupyter Notebook on your computer, you are readyto run the notebook server. You can start the notebook server from thecommand line (using Terminal on Mac/Linux,Command Prompt on Windows) by running:

When the notebook opens in your browser, you will see the Notebook Dashboard,which will show a list of the notebooks, files, and subdirectories in thedirectory where the notebook server was started. Most of the time, you willwish to start a notebook server in the highest level directory containingnotebooks. Often this will be your home directory.

If ugly interfaces bother you as much as they bother me, I highly recommend taking a look at the jupyter-themes package on Github. This package allows you to customize the look and feel of your notebook, either as simple as activating a style, or as complex as setting your margin width. I highly recommend checking out the available themes to spice up your notebook!

Note: in this tutorial, we consider that interoperability is turned on in WSL.conf, which is the default behaviour. If you have disabled it, you can either use the ubuntu reconfiguration tool on Ubuntu 22.04+, or, for earlier versions, directly modify back wsl.conf yourself as described on wsl.conf documentation. The settings you are interested in are [Interop]: enabled and appendWindowsPath both set to true (or not being present, which defaults to true).

From the Jupyter main screen, create a new notebook to start developing an interactive Python solution. You can do this by clicking on the New button, and then clicking on the Python 3 option, as we can see below.

Hi - hope this is the correct discussion group for this topic.

Isssue:

I am not able to connect to a RAC Oracle database. I am connecting as myself being a proxy into another schema. Connection is all fine with usual SQLPlus or SQL Developer on windows or within the WSL2/Ubuntu linux. BUT when I do use Python-OracleDB module from within python3 or a jupyter-notebook on a WSL2/Ubuntu linux within Windows 10 client, I encountered some errors that I can fully shake off.

First I have been using thin mode connection. I have TNS_ADMIN and LD_LIBRARY_PATH set to some directory where the tnsnames.ora and where the Oracle Instant Client Lib directory are. Note I can only use what is avail in this company ie some Oracle Instant Client v12.2 which has this structure oracle/12.2/client64/lib (for the library) and oracle/12.2/client64/bin (with some of the binaries like sqlplus etc. This work fine when I point my sqlplus to them and connect ok.

Note as mentioned i am a proxying as another schema, so I use this connection string:

my_username[schema_user_I_am_connecting_as]/my_password@db_alias (from tnsnames.ora)

This works fine in sqlplus but not in python as:

import oracle_db

import db_config

conn = oracledb.connect(user=db_config.user, password, dsn=db_config.db_alias)

(I have verified the variables by print to check they ok - all fine as it is)

In this instance I get this error exceptions.OperationalError: DPY-6001: cannot connect to database. Service " ....." not registered with listener t host "....scan....:: port 99999 (Similar to ORA12514)

so my tnsnames.ora looks fine as I can connect also with these same db_alias, my username and my password. Note as mention i am proxying into another user schema to do some work of the schema's behalf. like this ( my_username[schema_user_I_am_connecting_as]/my_password@db_alias )

so the tnsnames.ora has an address_list with 2 separate host scan addresses - one of them is a standby in another site - so only one is up . Could that pose a problem in python connection?

Because i also sometimes see the warning message ORA-12514 for that standby address on my SQL Developer connection in the navigation connection tree when I hover my cursor over that connection. But it is fine in SQLDeveloper when I connect as it knows to pick the other address when using the db_alias in the tnsnames.

So I have tried some other combinations in python with not much success :

When i do :

conn = oracledb.connect("my_username[schema_user_I_am_connecting_as]/my_password@db_alias")

Get same error as above DPY-6001:

When I do:

oracledb.connect("my_username[schema_user_I_am_connecting_as]/my_password@//host-scan-name:port/servicename")

I get ORA-01017: invalid username/password: logon denied.

hum - close . I am still using the same user and password that work fine in sqlplus. now i have use an easyconnect method with the full address pass in the connection string. That works fine from sqlplus or sqlcli but not here. Has to do with python! I even put a raw string like r"connection str") - no still same login denied

I have also tried without a proxy user login and still gettin logon denied.

What am I doing wrong? or is the way using proxy to connect is nor correct or has a bug? password also obviously has non alpha char like # etc and the [ ] for proxy connection not causing some python grief here. or may be I just not reading the correct doc or missing some important stuff. It is definitely using Thin mode as i can see the error trace showing :

File .... "src/oracldb/impl/thin/connection.pyx or protocol .....

I have also tried without the LD_LIBRARY_PATH as I was using only thin mode.

Thanks in advance,

When saving a Notebook

Click on the good old floppy disk icon on Notebook's screen.

To rename the file, click on "Untitled1" on the right side of the jupyter on the screen to open a dialog for renaming the file e24fc04721