Install nBlocksStudio and mbed-cli

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Revision as of 06:29, 22 March 2018 by Admin (Talk | contribs)

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Install Python

  • Download 32 bit windows installer for Python 2.7 (dont use 64bit Python installer, issues with pip)
  • Configure installer for adding Python path to system path and complete Python 2.7 installation
  • Restart Windows (otherwise pip fails)
  • Test Python and pip from command line:
Python --version 
pip --version 

Both should work from any directory

Install mbed-cli

  • Install Mercurial
  • Install Git
  • nstall GCC
  • Install mbed cli from command prompt:
pip install mbed-cli


Import existing program from online compiler

  • From online compiler right click on the project and publish (or FORK) in to something like this: frequency_counter
    If the project is copy from somebody else's project, probably have to fork to your own mbed space
  • With administrative rights,
mbed import https://developer.mbed.org/users/chalikias/code/frequency_counter/ 
  • for a list of supported targets
mbed compile -S
  • Finnaly
mbed compile -m LPC1768 -t GCC_ARM

References




Install n-Blocks Studio

pip install panda3d
pip install pywin32
pip install pyuserinput
  • Download the studio from bitbucket (folder Studio): from command line
hg clone https://bitbucket.org/nimbus_it/prj_nblocksstudio 
  • From mbed_code folder with command line:
C:....\mbed_code> mbed new . --mbedlib
C:....\mbed_code> mbed deploy
  • Start nBlocksStudio, from mbed_code folder with command line:
....\Studio\Launch.cmd 

When exporting, save into the file main.cpp inside folder mbed_code, and build with:

C:....\mbed_code> mbed compile -t GCC_ARM -m LPC1768