Python

In this tutorial, we’ll build a simplified, AI-flavored SIEM log analysis system using Python. Our focus will be on log analysis and anomaly detection. We’ll walk through ingesting logs, detecting anomalies with a lightweight machine learning model, and even touch on how the system could respond automatically. This hands-on proof-of-concept will illustrate how AI can enhance security monitoring in a practical, accessible way. Table of Contents What Are SIEM Systems? Prerequisites Setting Up the Project How to Implement Log Analysis…

Have you ever wondered how Python makes objects work with operators like + or -? Or how it knows how to display objects when you print them? The answer lies in Python’s magic methods, also known as dunder (double under) methods. Magic methods are special methods that let you define how your objects behave in response to various operations and built-in functions. They’re what makes Python’s object-oriented programming so powerful and intuitive. In this guide, you’ll learn how to use…

Reversing a list is fundamental in Python programming and is often employed in algorithms, data processing, and general problem-solving. Whether you’re sorting data, analyzing sequences in reverse, or want to add a twist to your code, knowing how to reverse a list is something you should know. In this guide, we’ll explore Python’s most effective methods to reverse a list. l’ll break down each technique and provide clear explanations and code examples so you can choose the best approach for…

Have you ever wanted to visualize your network traffic in real-time? In this tutorial, you will be learning how to build an interactive network traffic analysis dashboard with Python and Streamlit. Streamlit is an open-source Python framework you can use to develop web applications for data analysis and data processing. By the end of this tutorial, you will know how to capture raw network packets from the NIC (Network Interface Card) of your computer, process the data, and create beautiful…

AWS Lambda is a powerful serverless compute service that enables you to run code without managing infrastructure, so you can focus solely on writing code without worrying about provisioning or maintaining servers. In this tutorial, we will explore AWS Lambda, from setting up your first function to integrating it with other AWS services. Whether you’re processing data streams or building APIs, this guide will help you get started with serverless deployments using AWS Lambda. What is AWS Lambda? AWS Lambda…

Reinforcement Learning (RL) is one of the three main machine learning paradigms, the other two being supervised and unsupervised learning. In RL, an agent learns to interact with its environment to maximize the cumulative rewards. It learns the optimal action under different environmental conditions through trial and error. Reinforcement Learning with Human Feedback (RLHF) allows the agent to modify behavior based on human inputs at each step. RL solves problems like self-driving cars, automated trading, computer players in video games,…

Welcome to Day 5 of 12 Days of DigitalOcean! Yesterday, you set up your Birthday Reminder Service to run on DigitalOcean Functions, meaning it’s now serverless and cloud-ready. 🎉 Today, you will be taking it a step further by automating it to run on its own schedule—no manual input required. By the end of this guide, your service (or any other function you’re working on) will run automatically at a set time every day. That means no more remembering to…

In cybersecurity, a honeypot is a decoy system that’s designed to attract and then detect potential attackers attempting to compromise the system. Just like a pot of honey sitting out in the open would attract flies. Think of these honeypots as security cameras for your system. Just as a security camera helps us understand who’s trying to break into a building and how they’re doing it, these honeypots will help you understand who’s trying to attack your system and what…

Introduction We can use the Python built-in function map() to apply a function to each item in an iterable (like a list or dictionary) and return a new iterator for retrieving the results. map() returns a map object (an iterator), which we can use in other parts of our program. We can also pass the map object to the list() function, or another sequence type, to create an iterable. The syntax for the map() function is as follows: map(function, iterable,…