Using Tensorboard 2 API (2019): from tensorboard import program tracking_address = log_path # the path of your log file. if __name__ == “__main__”: tb = program.TensorBoard() tb.configure(argv=[None, ‘–logdir’, tracking_address]) url = tb.launch() print(f”Tensorflow listening on {url}”) Note: tb.launch() create a daemon thread that will die automatically when your process is finished
From https://www.jetbrains.com/help/pycharm/update.html#standalone: Disable automatic update checks In the Settings/Preferences dialog Ctrl+Alt+S, select Appearance and Behavior | System Settings | Updates. Clear the Automatically check updates for checkbox.
create a folder wherever you want to keep you environment files, inside the folder run: conda create –prefix=yourenvname When you wish to use this env, move to the folder in which you ran the previous command and do: source activate yourenvname Or You can run: conda create –prefix=path/yourenvname This will create environment named “yourenvname” in … Read more
Updated the repo: [GitHub]: CristiFati/Prebuilt-Binaries – (master) Prebuilt-Binaries/PyGraphviz/v1.5: Using official Graphviz 2.42.2 sources .whls (win_amd64, win32) for currently supported Python versions Newer versions might be added (check one level up) For Python 2.7, they are already built: [UCI.LFD]: Unofficial Windows Binaries for Python Extension Packages – PyGraphviz, an interface to the Graphviz graph layout and … Read more
Way easier: Just add the following to your notebook: In [1]: import os os.environ[‘http_proxy’] = “http://user:passwd@host:port” os.environ[‘https_proxy’] = “https://user:passwd@host:port” after that, requests will work OK=200, e.g. In [2]: import requests requests.get(“https://google.com”) Out[2]: <Response [200]>
Update for conda 4.4 and up: You need to specify the conda environment path to activate. The new conda activate command should not need the full path to an “activate script” any longer, since the command is now “built-in” to conda. So something like: conda activate (fullpath)/env-name-here should work. The command you have specified activates … Read more
A quick update as of July 2021. TLDR The conda-forge group have a M1 native conda installer here. Installation is simple – run the installer, and you have conda up and running. This will install an M1 native conda, and that conda’s default environment will by default install M1 native python versions and M1 native … Read more
To fix this problem, I added to the top: import matplotlib matplotlib.use(‘Agg’) I have a CentOS7, Anaconda3-4.5.0, python3.5 pyqt version 5.6.0 and qt version 5.6.0 If you want to use the plot in a Tkinter window for visualisation then use: matplotlib.use(‘TkAgg’)
Anaconda comes with the conda package manager which is designed to handle these kinds of upgrades. Start by updating conda itself to get the most recent package lists: conda update conda And then install the version of scikit-learn you want conda install scikit-learn=0.17 All necessary dependencies will be upgraded as well. If you have trouble … Read more
You could try disabling transitive deps updates by passing –no-update-dependencies or –no-update-deps to conda install command. Ex: conda install –no-update-deps pandas.