A Comprehensive Guide to MicroPython and HTTPS

MicroPython is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimized to run on microcontrollers and constrained systems. HTTPS, on the other hand, is the secure version of HTTP, which adds a layer of encryption to protect data transmitted between a client and a server. Combining MicroPython with HTTPS allows developers to build secure IoT (Internet of Things) applications, enabling devices to communicate securely over the internet. In this blog post, we will explore the fundamental concepts of using HTTPS in MicroPython, discuss usage methods, common practices, and best practices.

Table of Contents#

  1. Fundamental Concepts of MicroPython and HTTPS
  2. Usage Methods
  3. Common Practices
  4. Best Practices
  5. Conclusion
  6. References

Fundamental Concepts of MicroPython and HTTPS#

MicroPython#

MicroPython extends the Python language to microcontrollers, allowing developers to write high - level code that can interact directly with hardware components such as sensors, actuators, and communication modules. It provides a simple and familiar programming environment for embedded systems development.

HTTPS#

HTTPS is based on the HTTP protocol but adds a layer of security through the use of SSL/TLS (Secure Sockets Layer/Transport Layer Security) encryption. When a client (e.g., a MicroPython device) communicates with a server over HTTPS, the data is encrypted so that it cannot be easily intercepted or modified by third - parties.

How MicroPython Interacts with HTTPS#

MicroPython provides libraries to interact with HTTPS servers. The urequests library (a MicroPython version of the popular Python requests library) can be used to send HTTP and HTTPS requests. Additionally, MicroPython supports SSL/TLS encryption through the usocket and ussl libraries, which are used to create secure socket connections.

Usage Methods#

Installing Required Libraries#

Most MicroPython devices come with the urequests library pre - installed. If not, you can find the source code and add it to your device.

Sending a Simple HTTPS GET Request#

The following code example demonstrates how to send a simple HTTPS GET request using MicroPython:

import urequests
 
# Define the URL
url = 'https://api.example.com/data'
 
try:
    # Send the GET request
    response = urequests.get(url)
    # Print the response content
    print(response.text)
    # Close the response
    response.close()
except Exception as e:
    print('Error:', e)

Sending a HTTPS POST Request#

To send a POST request, you can use the post method of the urequests library and provide the data to be sent in the request body.

import urequests
import json
 
# Define the URL
url = 'https://api.example.com/submit'
 
# Define the data to be sent
data = {'key': 'value'}
# Convert the data to JSON format
json_data = json.dumps(data)
 
try:
    # Send the POST request
    response = urequests.post(url, headers={'Content-Type': 'application/json'}, data=json_data)
    # Print the response content
    print(response.text)
    # Close the response
    response.close()
except Exception as e:
    print('Error:', e)

Common Practices#

Error Handling#

When working with HTTPS requests, errors can occur due to network issues, invalid URLs, or server problems. It is important to implement proper error handling in your code to ensure that your application can handle these situations gracefully. As shown in the previous examples, you can use a try - except block to catch and handle exceptions.

Memory Management#

MicroPython devices have limited memory. When working with large responses, it is important to manage memory properly. For example, you can process the response data in chunks instead of loading the entire response into memory at once.

import urequests
 
url = 'https://api.example.com/large_data'
 
try:
    response = urequests.get(url, stream=True)
    for chunk in response.iter_content(chunk_size=1024):
        if chunk:
            # Process the chunk
            print(chunk)
    response.close()
except Exception as e:
    print('Error:', e)

Best Practices#

Using SSL/TLS Certificates#

To ensure the security of your HTTPS connections, it is recommended to verify the SSL/TLS certificates of the servers you are connecting to. You can use the ussl library to load and verify the certificates.

import usocket
import ussl
 
# Create a socket
s = usocket.socket(usocket.AF_INET, usocket.SOCK_STREAM)
# Connect to the server
addr = usocket.getaddrinfo('api.example.com', 443)[0][-1]
s.connect(addr)
 
# Wrap the socket with SSL/TLS
s = ussl.wrap_socket(s, server_hostname='api.example.com')
 
# Send data
s.send(b'GET /data HTTP/1.1\r\nHost: api.example.com\r\n\r\n')
 
# Receive data
data = s.read()
print(data)
 
# Close the socket
s.close()

Limiting the Number of Requests#

To avoid overloading the server and consuming excessive network resources, it is important to limit the number of requests your device sends. You can implement a timer or a rate - limiting mechanism in your code.

Conclusion#

In this blog post, we have explored the fundamental concepts of using HTTPS in MicroPython, discussed usage methods, common practices, and best practices. By combining MicroPython with HTTPS, you can build secure IoT applications that can communicate with servers over the internet. Remember to handle errors properly, manage memory efficiently, and ensure the security of your connections by verifying SSL/TLS certificates.

References#

2025-10