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Educational programming tool

Project description

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LearnBlock

LearnBlock is an educational programming tool for learning programming. It has been designed to facilitate the learning process starting with a visual programming language and progressing towards a professional programming language.

LearnBlock is robot-agnostic, i.e. the same program can be executed in several robots. Clients for new robots can be easily created adding device interfaces and implementing hardware access methods for those interfaces. Examples of existing clients can be found here

Main features

Among other features, Learnblock includes the following:

  • Available for different physical robots (EBO, Cozmo, Thymio and EV3) and simulated ones (EBO under RCIS and EV3 under V-REP).
  • Robots can be programmed using different languages: visual language, Block-Text (textual representation of the visual language) and Python.
  • New blocks can be created from code using the tool itself or external tools.
  • A program can be run and stopped at any moment. When a program is interrupted, the robot is properly stopped and disconnected.

Installation

Before installing LearnBlock, some dependencies must be satisfied as follows:

sudo apt install cmake

To use all the features of LearnBlock, you will also need to install additional software by executing the following command:

sudo apt install python3-zeroc-ice

Then, you can easily install LearnBlock by running the following command:

sudo pip3 install learnblock

The first time you execute LearnBlock, you will be asked for the creation of a workspace directory, where your projects will be saved by default. Once you specify a directory, you can start using LearnBlock and create programs for your favorite robot.

Project details


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Files for learnblock, version 3.1.5
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Filename, size learnblock-3.1.5-py3-none-any.whl (88.8 MB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size learnblock-3.1.5.tar.gz (2.7 MB) File type Source Python version None Upload date Hashes View hashes

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