How to call jupyter from mac command line

HOW TO CALL JUPYTER FROM MAC COMMAND LINE INSTALL

%alias %alias_magic %autoawait %autocall %automagic %autosave %bookmark %cat %cd %clear %colors %conda %config %connect_info %cp %debug %dhist %dirs %doctest_mode %ed %edit %env %gui %hist %history %killbgscripts %ldir %less %lf %lk %ll %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %ls %lsmagic %lx %macro %magic %man %matplotlib %mkdir %more %mv %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %pip %popd %pprint %precision %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %rm %rmdir %run %save %sc %set_env %store %sx %system %tb %time %timeit %unalias %unload_ext %who %who_ls %whos %xdel %xmode In this section, we'll explain the commonly used line magic command which can make the life of the developer easy by providing some of the useful functionalities in the notebook itself. We'll now explain the usage of magic commands one by one with simple examples.

Cell Magic Commands: It applies the command to the whole cell of the notebook and needs to be kept at the beginning of the cell.

Line Magic Commands: It applies the command to one line of the Jupyter cell as its name suggests.

There are two types of magic commands available with Jupyter Notebook/Lab: As a part of this tutorial, we'll cover some of the very commonly used magic commands.

Apart from these, it even provides a list of useful magic commands which let us perform a bunch of tasks from the jupyter notebook itself which developers need to do in the command prompt/shell. It provides a very easy-to-use interface and lots of other functionalities like markdown, latex, inline plots, etc. Jupyter Notebook/Lab is the go-to tool used by data scientists and developers worldwide to perform data analysis nowadays. It will show you all details about the available GPU.ДЄny notebook created in gpu2 environment will use the GPU to compute and if you need only CPU to compute then you can launch the notebook in Python3 environment.List of Useful Magic Commands in Jupyter Notebook/Lab В¶ Launch a new notebook using gpu2 environment and run below script.Launch Jupyter Notebook and you will be able to select this new environment. Now, this new environment (gpu2) will be added into your Jupyter Notebook.

HOW TO CALL JUPYTER FROM MAC COMMAND LINE INSTALL

Python -m ipykernel install вЂ“user вЂ“name=gpu2

Now install the new kernel by running below command:.

Before running this make sure that you already have activated gpu2 environment (step 3).

Install ipykernal by running below command.

Use tf.test.is_built_with_cuda() to validate if TensorFlow was built with CUDA support.

You can check below link to find the compatibale tensorflow-gpu version with your install Python version. Here I have installed tensorflow-gpu v2.3.0.

Now, run below command to activate / enable newly created gpu2 environment.

Run below command to list all available environments.

Open command prompt with Admin privilege and run below command to create a new environment with name gpu2.ДЇollow the on-screen instructions as shown below and gpu2 environment will be created. You can do the same thing in your local system if your local system already has a GPU (preferably Nvidia GPU).Д«efore following below steps make sure that below pre-requisites are in place: If you have already worked in Kaggle or Google Colab, then you must have seen that there is option in both the platform to choose whether you want to run your model on CPU, GPU or TPU and you can select that runtime env. then you might need an environment with GPU or TPU. But if you want to run some heavy computing tasks like training AI and DL models, fine tuning a BERT model, Image processing etc.

It should be enough if you are doing EDA tasks or running simple ML tasks on limited dataset. This Python3 virtual environment will use your computerвЂ™s CPU to compute your code. Once you select that new notebook page will be opened in separate tab, where you can start doing your coding. By default, you will only see Python3 environment. If you already have Python 3.x and Anaconda installed, you can launch Jupyter Notebook from Anaconda Navigator.ДЄfter launching Jupyter Notebook, if you click on New, you will see a dropdown menu to select a virtual environment to choose to launch the notebook. Jupyter Notebook is one of the most popular IDEs for data science in python.

How to call jupyter from mac command line