Looking for support installing on Windows 10
#1
Hi

I'm trying to install Gekko on Windows 10.

I'm getting 

gyp ERR! configure error
gyp ERR! stack Error: Can't find Python executable "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64", you can set the PYTHON env variable.

I have PATH,  PYTHON and PYTHONENV:
PATH=...;C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64
PYTHON=C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64
PYTHONENV=C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64

Please see the complete log attached
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#2
I have installed PYTHON 3.7 in its own dir, now build process get a syntax error:
[img]data:image/png;base64,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[/img]

> node-pre-gyp install --fallback-to-build

node-pre-gyp WARN Using request for node-pre-gyp https download
node-pre-gyp WARN Tried to download(403): https://mapbox-node-binary.s3.amazonaws....x64.tar.gz
node-pre-gyp WARN Pre-built binaries not found for sqlite3@4.0.2 and node@11.2.0 (node-v67 ABI, unknown) (falling back to source compile with node-gyp)
node-pre-gyp WARN Pre-built binaries not installable for sqlite3@4.0.2 and node@11.2.0 (node-v67 ABI, unknown) (falling back to source compile with node-gyp)
node-pre-gyp WARN Hit error Connection closed while downloading tarball file
gyp ERR! configure error
gyp ERR! stack Error: Command failed: C:\Programs\Python\Python37\python.EXE -c import sys; print "%s.%s.%s" % sys.version_info[:3];
gyp ERR! stack   File "<string>", line 1
gyp ERR! stack     import sys; print "%s.%s.%s" % sys.version_info[:3];
gyp ERR! stack                                ^
gyp ERR! stack SyntaxError: invalid syntax
gyp ERR! stack
gyp ERR! stack     at ChildProcess.exithandler (child_process.js:294:12)
gyp ERR! stack     at ChildProcess.emit (events.js:182:13)
gyp ERR! stack     at maybeClose (internal/child_process.js:978:16)
gyp ERR! stack     at Process.ChildProcess._handle.onexit (internal/child_process.js:265:5)
gyp ERR! System Windows_NT 10.0.17134
  Reply
#3
Ok script are for Python 2, got it, best would be to read it in the setup doc page.
  Reply
#4
What with all the Python stuff?

Try the WSL-install stuff here: https://github.com/tommiehansen/gekko_to...sl-install

Alternatively install Docker and simply run Gekko in Docker.
  Reply


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