Molemi IoT
  • Space farming using food computers for sustainable farming
  • Introduction to Arduino
    • Introduction to Electronics
    • The Breadboard
  • Controlling LEDs with an Arduino
    • The Code
    • Adding a button to control the LEDs
      • The Code
  • Introducing Sensors
    • The CO2 and air quality sensor
    • The Code
      • Explaining the Code
    • Light Intensity Sensor
  • Introducing the NodeMCU
    • Getting Started
      • A simple test for ESP8266
        • The Code
    • A light bulb switch using NodeMCU and the Blynk app
      • Setup Blynk on your Smartphone
      • The Code
    • Controlling a Centurion gate Motor with NodeMCU a 2-channel relay
      • Installing Blynk in Arduino IDE
    • Read and display the water flow sensor on Blynk
      • Setting up Blynk
      • The Code
        • Explaining the code
    • Read and Display temperature sensor readings with NodeMCU.
      • Installing libraries for DS18B20 temperature sensor.
      • Displaying the sensor readings on the serial port
        • Getting temperature readings from different DS18B20 sensors.
          • The Code
            • Display sensor readings on a web server
              • Build the web server
                • Designing and building the web page
                • The Code
    • Display the DHT11 sensor reading on a web server using NodeMCU.
      • Monitoring Room Temp & Humidity using Blynk
      • Installing DHT library on the ESP8266
        • Installing the Asynchronous Web Server library
          • The Code
          • Designing and building the web page
  • Data Science for Farming
    • Getting Started with Colaboratory
    • Introduction to Python for DS using Colab
  • Machine Learning for Farming
  • Molemi Personal Food Computer
    • Bill of Materials
  • Setting up WaziGate on a Raspberry Pi
  • Setting up DHT11 on Raspberry Pi
  • Using Telegram To Control Outputs
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  1. Data Science for Farming

Getting Started with Colaboratory

PreviousData Science for FarmingNextIntroduction to Python for DS using Colab

Last updated 5 years ago

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Google Colaboratory is a cloud-based Jupyter Notebooks that supports free GPU. It is available on Google drive for anyone that has a Google account.

To start make sure you have a Google account.

Start a Colab project

Go to your google drive and then go down to 'More' then select 'Colaboratory'.

Once you have created your first Notebook and gave it an name, you can do the basics.

Data science involves analyzing and interpreting data to make sense of it. The programming language that is used for that is Python and R. In this course we will be using Python as it is more easily accessible.