In the %run magic documentation you can find: -i run the file in IPython’s namespace instead of an empty one. This is useful if you are experimenting with code written in a text editor which depends on variables defined interactively. Therefore, supplying -i does the trick: %run -i ‘script.py’ The “correct” way to do it … Read more
Yes you can run keras models on GPU. Few things you will have to check first. your system has GPU (Nvidia. As AMD doesn’t work yet) You have installed the GPU version of tensorflow You have installed CUDA installation instructions Verify that tensorflow is running with GPU check if GPU is working sess = tf.Session(config=tf.ConfigProto(log_device_placement=True)) … Read more
You can create jupyter_notebook_config.py by: jupyter notebook –generate-config Then you go to ~/.jupyter/jupyter_notebook_config.py and change # c.NotebookApp.browser=”” to for example: c.NotebookApp.browser=”/usr/bin/google-chrome %s” You can choose which ever browser is installed. You’ll find the path for example by typing which firefox Do not forget to delete the #
In IPython (jupyter) 7.3 and later, there is a magic %pip and %conda command that will install into the current kernel (rather than into the instance of Python that launched the notebook). %pip install geocoder In earlier versions, you need to use sys to fix the problem like in the answer by FlyingZebra1 import sys … Read more
Here is an example that updates a plot in a loop. It updates the data in the figure and does not redraw the whole figure every time. It does block execution, though if you’re interested in running a finite set of simulations and saving the results somewhere, it may not be a problem for you. … Read more
Thanks to @Darthbith and this post How to change the default browser used by the ipython/jupyter notebook in Linux? I was able to figure it out: Step 1: To open Anaconda Prompt from the Start Menu and type # for old notebook and JupyterLab < 3.0, or jupyter notebook –generate-config # for new nbclassic and … Read more
For Anaconda I suggest you a much easier and proper solution; just give a look at the nb_conda_kernels package. It allows you to “manage your conda environment-based kernels inside the Jupyter Notebook”. Is should be included since Anaconda version 4.1.0, otherwise simply use conda install nb_conda Now you should be able to manage all direcly … Read more
Here is what I do on my projects in jupyter notebook, import sys sys.path.append(“../”) # go to parent dir from customFunctions import * Then, to affect changes in customFunctions.py, %load_ext autoreload %autoreload 2
EDIT: Starting from IPython 3 (now Jupyter project), the notebook has a text editor that can be used as a more convenient alternative to load/edit/save text files. A text file can be loaded in a notebook cell with the magic command %load. If you execute a cell containing: %load filename.py the content of filename.py will … Read more
If you are absolutely sure that your Python library path is in your system variables (and you can find that path when you pip install Jupyter, you just have to read a bit) and you still experience “command not found or recognized” errors in Windows, you can try: python -m notebook For my Windows at … Read more