I used jupyter notebook command in the cmd window, it shows the Anaconda Promptjupyter notebooktensorflow Anaconda Prompt h5py pip uninstall h5py pip install h5py jupyter notebook A lot. That command will reconfigure your environment to use the specified version. Tensorflow 201590.1 201720.1 20192.02.0beta tensorflow Scikit-learngpu CaffeC++python h5pyanacondah5pymodule 'h5py' has no attribute 'File'h5pycmdTensorFlow pip uninstall h5py conda install h5py TensorFlowPython AttributeError: type object 'h5py.h5.H5PYConfig' has no attribute '__reduce_cython__' h5pyStack Overflowh5pypip uninstall h5pycondaconda install -c anaconda h5py Solution: I stop those monitor and Anaconda-Navigator and Coda works fine! The general dependencies of VMTK 1.4+ are automatically installed by the anaconda package manager. So you don't need to explicitly uninstall. anacondah5pymodule 'h5py' has no attribute 'File'h5pycmdTensorFlow pip uninstall h5py conda install h5py python 1.pip pip uninstall numpy 2. Benchmarking against yum and apt-get is *closer*, but there were even doing substantially more work. From then all is ok. conda create -n py36 python=3.6 conda activate py36 h5pyanacondah5pymodule 'h5py' has no attribute 'File'h5pycmdTensorFlow pip uninstall h5py conda install h5py serialpyserialserialpyserialpycharm 1. filesettings 2. 1.conda uninstall pytorch 2.conda uninstall libtorch source deactivate # conda conda deactivate # conda Linuxpytorch.

3 . Getting Started With LMDB. This means that you can use any of its packages but you cannot make any modifications to them (such as an upgrade) and you cannot install new ones in their location. See the pip documentation for more. Uninstall the pairtools package: $ pip uninstall pairtools. Trying to use conda activate my_env does not work inside a bash script. Another (cleaner) option is to create a new env: conda create -n your_env_name -c pytorch pytorch=1.2.0=py3.7_cuda92_cudnn7_1. Last time(a day ago) I lauched the notebook and close it, it was running fine. VMTK 1.4+ requires python 3.5+ on Windows 10. n Then I stop Anaconda, run those monitor again, run again Anaconda-Navigator and set up the permissions on my security network monitor (for python 2.7 or 3.7). For reference they are: VTK 8.1; H5Py; Numpy <= 1.13; We no longer support python 2.7 on Windows builds. Package Latest Version Doc Dev License linux-64 osx-64 win-64 noarch Summary _libgcc_mutex: 0.1: None: X: Mutex for libgcc and libgcc-ng _low_priority: 1.0: X: X: Metapackage to lower the priority of a package using track_features LMDB, sometimes referred to as the Lightning Database, stands for Lightning Memory-Mapped Database because its fast and uses memory-mapped files.Its a key-value store, not a relational database. AnacondaPythoncondaPython180 anacondaPython_ pip install -U scikit-learn or pip uninstall scikit-learn conda . pip uninstall h5py. But setting performance expectations based on the current pip isnt reasonable, and is the wrong target. Write a bash script with the following code inside, let's call it my-script.sh: I have python 3.6.4 on windows 7 64 bit machine. ModuleNotFoundError: No module named 'numpy.core._multiarray_umath' 20190201 numpybug bug I found my security network monitor (Little Snitch, Hands Off!, etc) block conda and anaconda. Now youre ready for storing and reading images from disk. Current Behavior. import keras c:\users\popeye\appdata\local\programs\python\python35\lib\site-packages\h5py\__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. There is. Now, Install keras, This will install updated and same version of keras and h5py I have had countless problems with installing opencv with conda This is my approach, create an env if you don't already have one. Package Latest Version Doc Dev License linux-64 osx-64 win-64 noarch Summary; 7za: 920: doc: LGPL: X: Open-source file archiver primarily used to compress files: 7zip The pip version was pointing to an imaginary hdf5 installation, and most likely it was out of date but being imported by the library I was trying to use (tensorboard). For me as well, the major issue was that both pip and conda had separate h5py installations, and possibly libraries and dependencies for tensorflow were split between the two. win10 Anaconda 2020.07.20 tf2nlp + python3.7 Anacondatf2nlppip install tensorflow==2.0pythontensorflow Not able to figure out what might be going wrong. 3 scikit-learn . The workaround is to use source activate my_env but this shouldn't be necessary.. Steps to Reproduce. pythonLinuxpython tf.keras:win10+anaconda+tf 1.2.0+keras 2.0.6+py 3.6.2import tensorflow.keras as kerastensorflow.kerasNo module named kerasimport tensorflow as tffrom tensorflow import kerasp Remove keras pip uninstall keras. keras File "h5py\h5f.pyx", 3 4h5pypip uninstall h5py anacondaactivatelabelmepipopencv. The Anaconda Python distribution is system software. Then I double clicked to open the jupyer-notebook.exe, a jupyter console window showed up and disappeared in 3 seconds and without openning the localhost:8888 page, nor could I manually open the localhost address. Except for filesystem issues on Windows, I think our actual uninstall-install transaction times are reasonable. I am able to import h5Py in Anaconda prompt and ipython but it doesnt work in Spyder. During the past few weeks, I have been trying to install solaris on google colab but with no success.