I have been playing with RaspberryPI for a while. There are several project I tried to do with RaspberryPI. These boards play a significant role in my home lab for different experiments like Docker Private Repository, Media Server, Ad Blocker with pi-hole, Secure Proxy for anonymity, secure network access with VPN, Home Security Camera/Surveillance, Data Collector or scraper etc. But This time, I did buy a “DHT-22” sensor for monitoring room temperature and humidity. Humidity is my main concern and wanted to see how it fluctuates.

So, my main plan was to get a DHT-22 to connect properly

I have always worked with Linux Systems and thus Bash was my go to tool for some specific tasks. But now I am much more aware with Python than Bash as it does give me better grasp on things. I am not saying that for server scripting, Bash can not do some tasks. It can be used in a vast area of things to solve. But I am now comfortable with Python more.

Recently, I did stumble upon of a task that was related to comparing two huge CSV files.

Containerization gives us many benefits from packaging to distribution and others. Thus, Docker is widely used as a containerization tool which is designed for running specific tasks and processes, not for hosting operating systems or like other virtualization tools like VMWare, VirtualBox etc. You create a container to serve a single unit task. Once it completes the given task, it stops. The container life-cycle depends on the ongoing process inside of it. Once the process stops,

I mostly use Python Flask when I need to develop a Web App or API.

Why? Because it is:

• lightweight
• Very Flexible
• Micro-Service Friendly
• Fast Development

These are one of the main reasons I choose Flask. But mostly I love to code with Flask. There are so many ways to run flask applications. I will write some of them here with code examples.

So, I have a log file that is not single line log. It is kind of java stack trace. What I needed to do is read those log files and create some actions depending on them. I could use already built tools. But I thought why not just do this as simply as printing strings.

This is an example of the log format I wanted to play with. It seems too simple to pile up the Filebeats or elastic stack.

I enjoy coding and solving problems. But as I go forward, I find myself in a sea of unknowns. Thus I decided to learn as much as possible to be confident. So, I am learning even the simplest it seems.

The built-in function “eval()” of python is useful in many cases. But I am gonna talk about it’s negative one.

Let, you have a function that take arguments from user. If you do eval() on that input, it might create a havoc.

I have always loved the fact that The Python interpreter has a number of functions and types built into it. I am going to explore “eval()” in this article.