Linux and stability

I have been using Linux for two years as my primary operating system. I hold the CompTIA Linux+ certification and am well-versed in command line interfaces and CLI tools. Additionally, I have experience writing Bash scripts. Currently, I use Rocky Linux as my distro.

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It was with who I started my programming journey

Python

"Spend some time looping"

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1 import pandas as pd
2 const CSV = "./data.csv"
3 df = pd.read_csv(CSV)
4 print(df.describe())
5 filtered_df = df[df['column_name'] > condition]
6 grouped_df = df.groupby('group_column')
7 grouped_df = df.groupby('atribiutes').agg(agg_func)
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Quick and Dirty with Python

I used Python at my job primarily to work with datasets and clients websites. Mostly to gather data via scraping or cleaning product information with the Pandas library. Implemented a couple of parsers but nothing much. Usually use Python modules for fast remote connections, reverse shell, and etc. I'm familiar with the syntax and some useful tools.

Nice and simple

I write Ansible playbooks for automation and deployment and use containers for integration testing. I'm currently working on improving my Golang skills, as I see it becoming my language of choice due to its simplicity, which aligns with my interests in system administration and APIs.

A bit about web projects

I have some knowledge of JavaScript, although not as much as I'd prefer. At work, I've created small interfaces with it. SvelteKit is my framework of choice, and it's what I've used to build this blog. Additionally, I've completed another professional project using Svelte, a website dedicated to the Horses . While I can handle frontend development, it's not my favorite aspect of programming