I am using Google Colab. gspread 3.4.2 seems to be the default. I have uninstalled 3.4.2 and installed 5.2.0, but the next time I open the program with a new runtime, it is back to 3.4.2.
I am loading a large dataframe to a googlesheet, and it times out under 3.4.2, but works fine under 5.2.0.
What should I do to correct this?
From Google collaboration online examples you can install libraries, gspread is already installed but using an old version so you can just upgrade it to latest version like so:
!pip install --upgrade gspread
This will install latest version of gspread.
Related
Has anyone installed Pythonnet on Python 3.10.0 (was pre-installed with Mac OS)? When I try to install Pythonnet through PIP, it complains that there is some issue with the package, and not with PIP!! After searching a bit on Google , I found that Pythonnet is currently not supported on Python 3.10.
So the next step was to install an older version (supported) of Python e.g. 3.7 on Mac and then make it the default Python environment. However, even after using the right set of commands, I'm unable to do switch from 3.10 to 3.7.
enter image description here
Can someone please tell me where am I going wrong?
Try installing a preview with --pre pip parameter. Python.NET 3.0.0 is currently in preview and is about to be released, it supports Python 3.10.
mlfinlab 1.0.1 requires numpy==1.20.1, but tensorflow 2.4.1 requires numpy~=1.19.2.
I have checked the mlfinlab installation for colab. I have uninstalled tensorflow and upgraded my numpy to 1.20.1. However, the following occurs:
Could not find a version that satisfies the requirement mlfinlab (from versions: )
No matching distribution found for mlfinlab
Without Python 3.8, I won't be able to install the library as it only works on that version. I don't know Colab well enough but there must be a way to select a python version. I'm unable to find out how to upgrade Python on Colab. Upgrading will only upgrade the dependencies.
Thanks
MlFinLab now works for Google Colab. We have relaxed the python versions and the dependencies.
I'm running a Windows computer with just a CPU (no GPU). When I run pip install tensorflow -vvv in order to see what pip is doing, it lists a lot of links, but for all of them, it says "Skipping link ... it is not compatible with this Python."
Does tensorflow support Python 3.6.4 on Windows? If so, what binary URL should I use to install it?
(I previously installed with this version due to reading this, but ran into this error without the DLL load failed message, so I'm wondering if there's a better version I should use.)
Also, I'm aware that Tensorflow says they support Python 3.x, but right now it hasn't been working for me.
You have probably installed Python 32bits, you need the 64bits version
I'm new to tensorflow and I'm having some problems with the installation. I searched through the official website, without any success. My computer runs on windows, with python version 3.4. None of the sources on the internet seemed to have any command lines for this specific case.
I would greatly appreciate your help:)
I'm pretty sure they added support for python 3.5 only,
But lately they added support for python 3.6 as well.
The only way i can see is that you would have to upgrade, I'm not such a pro with this but that's all i know because i had an import problem with tensorflow which i haven't been able to solve since
You can get the full instructions at Install TF on Windows
I hope you already installed python3 and pip3, if not follow
C:\> pip3 install --upgrade tensorflow
Upon trying to install Tensorflow for conda environment, I encountered with the following error message, without any progress:
tensorflow-1.1.0-cp35-cp35mwin_amd64.whl is not a supported wheel on this platform
Have you tried uninstalling and re-installing TensorFlow using pip within your Conda environment? I.e.:
pip uninstall tensorflow
Followed by:
pip install tensorflow
If it doesn't work, the issue may be with your Python installation. TensorFlow only supports 64-bit Python 3.5+ on Windows (see more info here).
Perhaps you have Python's default installation, which comes in a 32-bit version. If that's the case, you can download the 64-bit Python 3.5 or later from here to run in your Conda environment and then you should be able to install/run TensorFlow without any issues.
Make sure that the Python version installed in the Environment is 3.5 not 3.6. Since 3.6 was released Conda automatically sets that version as default for python 3. However, it is still not supported by Tensorflow.
You can work using tensorflow library along with other essential libraries using the Dockerfile. Using Docker for environment are a good way to run experiments in reproducible manner as in this blog
You can also try using datmo in order setup environment and track machine learning projects for making it reproducible using datmo CLI tool.