One year Adafruit IO+ and other discounts with GitHub Student Developer Pack



  • Whats Adafruit IO ?

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    Its a cloud service. You can store and retrieve the data when needed. Adafruit IO can handle and visualize the data. there is a dashboard is associated with it to provide chart, graphs, etc and display your data.

    What Adafruit can do for you?

    • Display the sensor data in real-time

    • You can control your motors and other sensors

    • You can integrate web services like displaying tweets, sending mail, weather services, etc.

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    You can unlock its full potential by accessing Adafruit with Github student developer pack.

    Other Discounts

    As a part of the program, you will get discounts on certain Adafruit products.

    • 30% Discounts on Circuit Playground Express - GH STUDENT EDITION

    • 30% Discounts on Circuit Playground Bluefruit - Bluetooth Low Energy - GH STUDENT

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  • How to apply ?

    A step by step guide

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    Applying for a Github student dev pack is easy!

    1. Visit GitHub Education and click Get benefits in the top-right corner.
    2. Under “Which best describes your academic status?”, select Student.
    3. Then, complete one of the following:
    • If you have a school-issued email, select (or add it).
      Please note that email addresses must be verified and any addresses with plus signs (“+”) are not eligible.

    • If you don’t have a school-issued email, follow the prompts to fill out additional information. You’re still eligible even if you only have a personal Gmail address, as long as you can provide alternative documentation to verify your current student status.

    1. You may be prompted for more information. When prompted, upload an image that demonstrates your academic status or confirms your Enrollment.

    Read more on Medium



  • What are the benefits?

    Students have access to more than just the best developer tools with the GitHub Student Developer Pack

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    Some of the popular benefits are,

    Namecheap.com:- 1 year domain name registration on the .me TLD.

    .tech Domains:- One .TECH domain free for 1 year.

    name.com:- One free domain name and free Advanced Security (SSL, privacy protection, and more).

    DataCamp:- Free 3-month individual subscription for students.

    Bootstrap Studio:- A free license for Bootstrap Studio while you are a student.

    Canva:- Free 12 month subscription of Canva’s Pro tier.

    and many more...

    It may take 7+ days for the activation process.

    Read more on Medium



Recent Posts

  • A

    @sreu13 I edited comment please read that again. Most probably it will not effect your file system. In some scenarios it can create worse effect.

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  • S

    @arunksoman i'll try this method, but while executing swap command, will the rasbian os and the files it contains be effected??

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  • A

    @sreu13
    Ensure that you are installed tensorflow 1.x since screenshot of your code shows something like
    from keras.layers.convolution import covolution2D
    It is not correct in case for tensorflow 2.0 since keras api is part of tensorflow itself.

    Another thing is try to expand your file system. It should be do with your own risk.

    sudo raspi-config Navigate to Advanced options Select advanced options and hit enter(I believes tab key is useful here) Choose Expand File System and hit enter finish. Then your pi may prompt to reboot. If it didn't run. Execute
    sudo reboot Then execute following commands one by one: $ sudo apt-get purge wolfram-engine $ sudo apt-get purge libreoffice* $ sudo apt-get clean $ sudo apt-get autoremove Then increase swap memory by editing following file swapfile:
    $ sudo nano /etc/dphys-swapfile It will open nano editor. Navigate to variable CONF_SWAPSIZE=100

    It indicates your current swap is only 100mb.
    So you just have to increase by commenting down this line and increase to appropriate value something like shown below for 2GB swap:

    #CONF_SWAPSIZE=100 CONF_SWAPSIZE=2048 Save the file and exit nano editor. sudo reboot

    I believes if it did not helped you, you have to think about MOVIDIUS or NVIDIA Jetson nano etc.

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  • S

    @arunksoman tensorflow 2.0.0 version had been installed

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  • @arunksoman thanks,
    I will look more into it. Thanks again

    read more