The easiest way to do it is to create a simlink in the terminal.

If the Julia location is custom, please before running the last line, change in the setup.py line 18 to the correct location, as in pyLLEllesolver.py line 508 to point to the correct location.

You can simply type python in a terminal (LinuxMac Os) or a cmd window (Windows), or you can launch spyder, jupyter or a ipython instance.

The following commands should not be type in a python instance but directly in the shell.

Workaround: There may not be a version of TensorFlow that is compatible with your version of Python.

The computer geeks are able to install Python and PyCharm easily on their systems but when they try to install Tensorflow they encounter the error message: Could not find a version that satisfies the requirement TensorFlow (from versions: ) No matching distribution found for TensorFlow.

Many people have installed Flask to get rid of this issue but they arent able to hence, keeping this in view Ive compiled some possible solutions to this problem and follow this guide throughout to get rid of this error.

TensorFlow Error As it turns out, there are several different causes that might end up causing this issue hence lets move a step ahead and test some fixes until we are able to eliminate this glitch on Windows.

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Method 1: Verify Python Version On Your System If you are running Windows 10, with Python 3.6.X version on your system then most probably Python-32 bit version wouldve been running on 64bit machine.

Keep one thing in mind that TensorFlow is only compatible with 64bit installation of python and not 32bit version of python.

Now, we need to set the PATH environment variable because it lists the directories that will be searched for executables when you type a command in the command prompt.

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By adding the path to the Python executable, you will be able to access python.exe by typing the python keyword (you wont need to specify the full path to the program).

If the PATH variable is not set the following error occurs: C:python.

As you can see that the command was not found hence to run python.exe, you need to specify the full path to the executable hence to specify the full path to the variable, follow the steps indexed below: Right-click on My Computer and afterward click on Properties button.

Choose Properties On the left side of the window look for Advanced System Settings and after clicking on it youll observe that System Properties Window will be opened.

System properties Now look for PATH variable option and click on Edit.

Position your cursor at the end of the Variable value line and add the path to the python.exe file preceded with the semicolon character (;).

In my case, I have added the following value: C:Python36 because I want to run Python 3.6 version.

Assign Variable Value Close all the Windows and search for Command Prompt.

In the command window type the following command and hit enter.

Youll see that now the 64bit version is present on your system and now Ill try to install TensorFlow and check whether the error is still there or not: C:python --version.

Note: TensorFlow is not yet in the PyPI repository, so you have to specify the URL to the appropriate wheel file for your operating system and Python version.

Hence if you are running GUI like anaconda and python 3.7 is installed by default on it hence, we have to downgrade it to 3.6 to install the Tensorflow.

For doing this task run the commands stated below on your Anaconda prompt: conda install python3.6.4 After running this command wait for a couple of seconds and then create a Virtual Environment for installing Tensorflow.

Name the virtual environment such as ab and then install the current release of CPU-only TensorFlow: conda create - n ab tensorflow.

Method 3: Update Package Installer For Python Pip is the package installer for Python and we can use pip to install packages from the Python Package Index and other indexes.

Although updates are released regularly after three months and these packages need to be updated manually on your system by running certain commands.

If these are not outdated they might cause this Tensorflow installation error hence, we will update the pip package by running the following commands below so that all the packages are updated automatically: pip install --upgrade pip.

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