Difference between revisions of "Install nBlocksStudio and mbed-cli"

Revision as of 06:31, 22 March 2018

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

• 3 minutes quickstart video
• Handbook
• Learn to use Mbed CLI: How to install manually

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

• Login to your nBlocksStudio account and add nodes to your account
• 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