NulledCodeSolutions.online

Year of release : February 2025
Manufacturer : Published by Pearson Via O’Reilly Learning
Manufacturer’s site : Code:Copy to clipboard

https://learning.oreilly.com/course/python-data-visualization/9780135426531/

Author : Bruno Goncalves
Duration : 6h 36m
Type of material given : Video lesson
Language : En
Description:
The Sneak Peek program provides early access to Pearson video products and is exclusively available to subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
Content
Introduction
Lesson 1 Human Perception
Lesson 2 Analytical Design
Lesson 3 Data Cleaning and Visualizion with Pandas
Lesson 4 Matplotlib
Lesson 5 Matploltib Animations
Lesson 6 Jupyter Widgets
Lesson 7 Seaborn
Lesson 8 Bokeh
Lesson 9 Plotly
Summary
Example files : no
Format Video : mp4
Video : AVC, 1280 x 720, 16: 9, 30.000 FPS, 3,000 KB/S (0.017 Bit/Pixel)
Аудио: AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR

Python Data Visualization Create impactful visuals, animations and dashboards (1.5 GB)

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https://drop.download/36ghvy0ac8cc/Python.Data.Visualization.Create.impactful.visuals.animations.and.dashboards.rar

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https://rapidgator.net/file/d3248a8ba193c59de1d771758dccd2a2/Python.Data.Visualization.Create.impactful.visuals.animations.and.dashboards.rar

Python Coding Challenges With Solutions For Beginners​

Downloads
Size: 134 MB
Code:Copy to clipboard

https://rapidgator.net/file/99a24487a6307d472b9169a62a721166
https://buzzheavier.com/f/GTV5qOjpAAA
https://bowfile.com/75ut
https://1fichier.com/?sw45rtvkdn43z8p4yjjt
https://clicknupload.space/4hqabqrvrj3h
https://1cloudfile.com/26Exs
https://dailyuploads.net/ebtxzmqkvo7c
https://doodrive.com/f/vm88kx

Description
Are you ready to take your Python programming skills to the next level? Join us in this comprehensive course designed to help beginners master Python coding challenges and strengthen their problem-solving abilities. Through a series of engaging coding exercises and detailed solutions, you’ll gain hands-on experience and build confidence in your Python coding skills.

Why Coding Exercises?

Coding exercises are a fundamental part of software development. They help sharpen your problem-solving skills, improve your coding proficiency, and prepare you for technical interviews. In this course, you’ll get hands-on experience with a variety of coding exercises designed to challenge and expand your skills.

Course Structure:

Our course is structured to provide you with a comprehensive learning experience. Each module consists of a series of coding exercises covering different programming concepts and techniques. You’ll have the opportunity to practice solving these exercises on your own and then check your solutions against detailed explanations provided by our instructors.

What You’ll Learn:

Fundamental Python Concepts: Reinforce your understanding of Python fundamentals through practical coding challenges.
Data Structures and Algorithms: Explore common data structures with coding exercises that enhance your knowledge and proficiency.
Problem-Solving Strategies: Learn effective problem-solving techniques and strategies to tackle coding challenges efficiently and methodically.
Debugging and Optimization: Practice debugging techniques and learn how to optimize your code for better performance and readability.
How This Course Benefits Your Career:

Preparation for Technical Interviews: Coding challenges are a common component of technical interviews for software development roles. By mastering Python coding exercises, you’ll be well-prepared to ace technical interviews and demonstrate your problem-solving skills to potential employers.
Enhanced Problem-Solving Skills: Coding challenges provide practical opportunities to solve real-world problems using Python. By consistently practicing coding exercises, you’ll sharpen your problem-solving abilities and become a more effective programmer.
Portfolio Building: Completing coding challenges and showcasing your solutions in a portfolio demonstrates your proficiency in Python programming and can impress potential employers or clients.
Additional Content : Python Object-Oriented Programming (OOP) Concepts:

In addition to coding challenges, this course includes Additional content on Python Object-Oriented Programming (OOP) concepts. You’ll learn how to apply OOP principles such as classes, objects to solve coding challenges more effectively and efficiently.​ Spoiler: Why closed source is bad Code:Copy to clipboard

https://www.gnu.org/proprietary/proprietary.html

Spoiler: Is "Linux" better than Windows Yes, in its own way. There are a lot of learning curves and the biggest thing preventing new comers is gate keeping from elitist or very opinionated individuals that provide useless or unwanted input to new users trying to ask questions or seek assistance or advice. Install a Distro in a virtual machine and see what you think. Easiest way to transition is get used to the alternatives to MS Office and Adobe products as they don’t fully work on linux without huge headaches through a compatibility layer known as WINE. For me the biggest selling point was that linux puts the personal computing back in PC. Just don’t expect everything to work exactly the same as it did on Windows even if the user interface looks and feels the same.
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​

Year of release : 2020
Author : Tarek Abulnaga
Duration : ~3h
Type of material distributed : Video lesson
Language : En
Описание: Learn how to Analyze data using Pandas and Spark and how to create background tasks using Celery framework and RabbitMQ
What you’ll learn
Pandas and spark for data analysis
Using Queus for parallel programing
Python celery as pipeline framework
Using Kafka JDBC Connector with Oracle DB
Requirements
Basic knowledge of python and SQL

Description
The aim of this course is learning programming techniques to process and analyze data
Data Analysis
Will learn how to load from different data sources (database/files) into data frames, Will learn both pandas data frame and spark date frame
Will learn how to analyze the data (select, filtering, grouping and sorting) These operations will be done without hit the database which Make our analysis extremely faster
Parallel Programming
Insert the functions that need to be called as tasks in queues to be executed in the background while the main program still
This will enhance the performance, as the functions will be executed in parallel not in sequence as traditional programming executing.
Who this course is for:
Python and Oracle developers and students
Example files : present
Video format : MP4
Video : AVC, 1280×720, 16:9, 30fps, ~200kbps
Audio : AAC, 48kHz, 192kbps, stereo

Python Celery for Distributed Tasks and Parallel Programming (552.21 MB)
RapidGator Link(s)
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https://rapidgator.net/file/c61494502ba3b4911061ed408455ea65/Python.Celery.for.Distributed.Tasks.and.Parallel.Programming.rar

Drop Link(s)
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https://drop.download/uczrfvfgxiq2/Python.Celery.for.Distributed.Tasks.and.Parallel.Programming.rar

Udemy – Python 3: Deep Dive (Part 1 – Functional)​

WEBRip | English | MP4 + Project Files | 1280 x 720 | AVC ~460 Kbps | 30 fps
AAC | 192 Kbps | 48.0 KHz | 2 channels | ~44.5 hours | 9.71 GB Genre: Video Tutorial / Programming

Variables, Functions and Functional Programming, Closures, Decorators, Modules and Packages Click to expand… What you’ll learn
An in-depth look at variables, memory, namespaces and scopes
A deep dive into Python’s memory management and optimizations
In-depth understanding and advanced usage of Python’s numerical data types (Booleans, Integers, Floats, Decimals, Fractions, Complex Numbers)
Advanced Boolean expressions and operators
Advanced usage of callables including functions, lambdas and closures
Functional programming techniques such as map, reduce, filter, and partials
Create advanced decorators, including parametrized decorators, class decorators, and decorator classes
Advanced decorator applications such as memoization and single dispatch generic functions
Use and understand Python’s complex Module and Package system
Idiomatic Python and best practices
Understand Python’s compile-time and run-time and how this affects your code
Avoid common pitfalls

Hello!

This is Part 1 of a series of courses intended to dive into the inner mechanics and more complicated aspects of Python 3.

This is not a beginner course – if you’ve been coding Python for a week or a couple of months, you probably should keep writing Python for a bit more before tackling this series.

On the other hand, if you’re now starting to ask yourself questions like:

I wonder how this works?

is there another way of doing this?

what’s a closure? is that the same as a lambda?

I know how to use a decorator someone else wrote, but how does it work? Can I write my own?

why isn’t this boolean expression returning a boolean value?

what does an import actually do, and why am I getting side effects?

and similar types of question.

then this course is for you.

Please make sure you review the pre-requisites for this course – although I give a brief refresh of basic concepts at the beginning of the course, those are concepts you should already be very comfortable with as you being this course.

In this course series, I will give you a much more fundamental and deeper understanding of the Python language and the standard library.

Python is called a "batteries-included" language for good reason – there is a ton of functionality in base Python that remains to be explored and studied.

So this course is not about explaining my favorite 3rd party libraries – it’s about Python, as a language, and the standard library.

In particular this course is based on the canonical CPython. You will also need Jupyter Notebooks to view the downloadable fully-annotated Python notebooks.

It’s about helping you explore Python and answer questions you are asking yourself as you develop more and more with the language.

In Python 3: Deep Dive (Part 1) we will take a much closer look at:

Variables – in particular that they are just symbols pointing to objects in memory

Namespaces and scope

Python’s numeric types

Python boolean type – there’s more to a simple or statement than you might think!

Run-time vs compile-time and how that affects function defaults, decorators, importing modules, etc

Functions in general (including lambdas)

Functional programming techniques (such as map, reduce, filter, zip, etc)

Closures

Decorators

Imports, modules and packages

Tuples as data structures

Named tuples

To get the most out of this course, you should be prepared to pause the coding videos, and attempt to write code before I do! Sit back during the concept videos, but lean in for the code videos!

And after you have seen a code video, pause the course, and try things out yourself – explore, experiment, play with code, and see how things work (or don’t work! – that’s also a great way to learn!)

Who this course is for:
Anyone with a basic understanding of Python that wants to take it to the next level and get a really deep understanding of the Python language and its data structures.
Anyone preparing for an in-depth Python technical interview.

also You can find my other useful:

General
Complete name : 7. Extended Unpacking – Lecture.mp4
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Menu
00:00:00.000 : Slide 2
00:01:25.032 : Slide 3
00:02:13.230 : Slide 4 / Slide 0
00:02:17.403 : Slide 0
00:02:47.403 : Slide 5
00:02:59.919 : Slide 6
00:04:46.607 : Slide 7
00:05:19.627 : Slide 8
00:05:37.468 : Slide 9
00:06:21.494 : Slide 10
00:08:27.176 : Slide 11 / Slide 0
00:09:45.374 : Slide 0
00:10:15.374 : Slide 12
00:10:49.904 : Slide 0
00:11:19.904 : Slide 13
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Year of manufacture : 2023
Manufacturer : Udemy
Manufacturer’s website : Code:Copy to clipboard

https://www.udemy.com/course/public-key-infrastructure-pki-with-openssl-rsa-and-ecc/

Author : Holczer Balazs
Duration : ~3h30m
Type of material distributed : Video lesson
Language : En
Описание: In this course you will learn about cryptography, certificates and certificate signing requests (CSRs) with OpenSSL. You will understand the most popular pubic key (asymmetric) cryptosystems on a step by step basis – such as RSA and Elliptic Curve cryptosystems. You can learn about the theory as well as the implementation for every approach.Chapter 1 – Cryptography Fundamentalswhat is the aim of cryptography?private key and public key cryptosystemsChapter 2 – Public and Private Keys in OpenSSLgenerating RSA keysencryption example with RSAgenerating ECC keysChapter 3 – Certificatesroot certificates (self-signed certificates) and intermediate certificatescertificate parameters and configuration filesChapter 4 – Certificate Signing Request (CSR)what are certificate signing requests?signing intermediate certificatesverifying the chain of trustChapter 5 – Transport Layer Protocol (TLS)what is the transport layer protocol?how network communication workscertificate revocation list (CRL)Chapter 6 – RSA AlgorithmRSA algorithm theorythe problem of factorizationis it possible to crack RSA algorithm?Chapter 7 – Elliptic Curve Cryptography (ECC)elliptic curve cryptography theorydouble and add algorithmpoint addition algorithmdigital signatures with elliptic curveswhy does Bitcoin use elliptic curve cryptography? is it possible to crack elliptic curves?Thanks for joining my course, let’s get started!
Content
01:57
05:04
03:18
03:15
Cryptography Fundamentals Quiz
3 questions
Setting up OpenSSL
03:20
Installing IntelliJ
02:49
Generating RSA related private and public keys
08:35
Encryption with RSA keys
04:16
Generating elliptic curve related private and public keys
07:06
Generating RSA keys
08:11
Generating ECC keys
07:43
Reading RSA keys from PEM file
06:56
What are root and intermediate certificates?
10:59
Certificates Quiz
4 questions
Generating self-signed certificates
05:56
Certificate parameters
07:58
Using configuration file I
10:25
Using configuration file II
06:39
Implementing self-signed certificates I
09:17
Implementing self-signed certificates II
05:44
Implementing self-signed certificates III
04:53
What is a certificate signing request (CSR)?
06:49
CSR Quiz
2 questions
Creating certificate signing request (CSR) in OpenSSL
06:09
Signing certificate signing requests
08:01
Using configuration files for extensions
05:12
Verifying the chain of trust
06:09
Implementing certificate request I
09:39
Implementing certificate request II
05:50
Implementing certificate request III
04:53
What is the HTTP protocol?
03:48
TCP 3-way handshake
07:31
TLS handshake and certificate verification
07:23
TLS handshake and key exchange
07:39
Encrypted data transfer
03:22
TLS Quiz
4 questions
05:43
RSA cryptosystem – the algorithm
05:52
RSA cryptosystem – example
05:01
Is it possible to crack the RSA cryptosystem?
04:09
RSA Quiz
3 questions
Why do we need elliptic curve cryptography?
02:49
What are elliptic curves?
04:19
Point addition and point doubling
14:01
Double and add algorithm
04:30
Elliptic curve discrete logarithm problem
03:34
Elliptic curve based Diffie-Hellman key exchange algorithm
05:47
Digital signatures with elliptic curves
10:43
RSA and elliptic curve cryptography
03:12
Is it possible to crack elliptic curves?
05:00
Elliptic Curve Cryptography Quiz
5 questions
Download course materials
00:01
Example files : present
Video format : MP4
Video : AVC, 1280×720, 16:9, 30fps, ~900kbps
Audio : AAC, 44.1kHz, 128kbps, stereo

Udemy – Public Key Infrastructure (PKI) with OpenSSL (RSA and ECC) (1.19 GB)
RapidGator Link(s)
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https://rapidgator.net/file/99863b01bebdca400d64c8866ebf8744/Udemy.-.Public.Key.Infrastructure.PKI.with.OpenSSL.RSA.and.ECC.rar

ClickNUpload Link(s)
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https://clicknupload.click/x5pbl97ywz75

Proxmox VE 6
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 122 lectures (9h 54m) | Size: 3.9 GB​

Virtualization and High Availability Using Proxmox VE 6

What you’ll learn:
Students at the end of this course will be able to run fully virtualized datacenter using Proxmox VE clusters, in addition to configuring high availability and shared storage to decrease systems downtime

Requirements
Students must be familiar with VMware or VirtualBox, In our course we are using VMWare
Students are preferred to have basic knowledge in Linux Command Line – Not Mandatory
Students must have fundamental knowledge in IPv4 networks

Description
The Proxmox VE 6 is one of the powerful alternatives for virtualization solutions like VMware VSphere and Microsoft HyperV, it’s free and open source, you can implement clusters and high availability without using any additional licenses or fees.

The course has been updated on April 27, 2020 to include the new release changes, the lectures were also re-organized to be divided into shorter videos instead of long-lectures according to students feedback.

the In this course you learn how to create a high available data center using Proxmox VE, high availability and shared storage solutions, in this course you will learn how to manage firewall, users and permissions and how to configure networking and bonding, all the following topics will be covered in this course:

Introduction and Installation

Installing Proxmox VE from ISO

Installing Proxmox VE on Debian 9 (Stretch)

Web Interface

Web Interface GUI

Creating Your First VM

Virtual Machine Options

QEMU/KVM and LXC Containers

Virtual Machines and Containers

Creating Your First Container

RAM and Disk Advanced Configurations

Advanced RAM Configurations

Advanced Disk Options and Caching Types

Emulated and Paravirtualized Devices

Network Concepts and Management

Network Configurations

Network Bonding

Storage Management

Editing Storage Contents and Uploading ISOs

Adding New Storgaes

Proxmox VE Firewall

Enabling Firewall and Creating Rules

Security Groups

IP Aliases

IP Sets

Firewall Logging

Firewall Services and Commands

FTP Rules

Integration with Suricata IPS

Common Ports

Backup and Restore

Backup Schedule and Modes

Snapshots, Cloning and Templates

Users Administration

Users and Authentication Realms

Permission Management

Privileges

Objects and Paths

Pools, VM Permissions and Groups

Proxmox Cluster

Creating 3 Nodes Cluster

Quorum

Cluster Filesystem

High Availability

Introduction to HA and Shared Storage

Ceph Installation and Configurations

Activating High Availability

Adding and Removing OSDs

GlusterFS Shared Storage

ZFS Shared Storage and Replication

Storage for ISO and Templates

Proxmox VE Services

Command Line Interface

Common Commands

Configuring PVE From Files

Proxmox VE API and Billing Automation (brief)

Eventually, this will be a continuous course I am going to add any additional topics I think they are important, and any topics requested by students.

So, if you think that this course can be improved by adding any topics, then please let me know

Who this course is for
Students Interested in Virtualization Environments
Systems administrator looking for powerful solutions to virtualize their datacenter and decrease systems downtime using high availability are advised to join this class
Proxmox VE begginers can join this class to gain more experience

Protection of Information Assets: Information Asset Security and Control
Released/Updated: Sep 11, 2024
Duration: 3h 27m 11s | .MP4 1920×1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 456 MB
Genre: eLearning | Language: English​

The auditor must be knowledgeable in information security concepts and implementation. This course will teach you to audit a cybersecurity program needed for the Certified Information Systems Auditor examination.
What you’ll learn

All IT systems need to be secured and the auditor must know how to assess the deployment of security in all types of systems and technologies. In this course, Protection of Information Assets: Information Asset Security and Control, you’ll learn to assess the effectiveness and adequacy of the security program. First, you’ll explore IT security frameworks and principles. Next, you’ll discover how to audit the security of various information technologies. Finally, you’ll learn how to audit security and data protection. When you’re finished with this course, you’ll have the skills and knowledge of protection of information assets needed for the Certified Information Systems Auditor examination.

More Info

Please check out others courses in your favourite language and bookmark them
– – – –

Prompt Engineering Mastery: From Basics to Advanced
Published 9/2025
Duration: 6h 11m | .MP4 1280×720 30 fps(r) | AAC, 44100 Hz, 2ch | 3.45 GB
Genre: eLearning | Language: English​

Learn to design effective AI prompts, boost accuracy, and unlock advanced applications with ease.

What you’ll learn

• Fundamentals of prompt engineering and AI interaction
• Crafting effective prompts for accuracy and clarity
• Techniques to improve AI responses with context and structure
• Using system and role prompts for better control
• Advanced strategies: few-shot, zero-shot, and chain-of-thought prompting
• Common mistakes in prompt design and how to avoid them
• Ethics, safety, and responsible prompt engineering
• Future trends in AI prompting and career opportunities

Requirements
– No prior experience with AI required

Description
Unlock the full potential of AI withPrompt Engineering Mastery, the ultimate course for beginners and professionals who want tolearn AI prompts, prompt engineering, and advanced AI techniques. Whether you’re a student, content creator, digital marketer, educator, or business professional, this course equips you with practical skills to communicate with AI effectively and responsibly.

In this course, you will learn how to:

Understand AI interaction fundamentals and how AI interprets human input

Craft clear, accurate, and powerful prompts for text, images, and video

Use system, role, and structured prompts for better AI control

Apply advanced strategies like few-shot, zero-shot, chain-of-thought, and step-by-step prompting

Optimize AI outputs for accuracy, creativity, and relevance

Avoid common mistakes in prompt design and debug broken prompts

Integrate AI responsibly and ethically in professional, creative, and business projects

Explore emerging AI trends and career opportunities in AI-driven roles

Why take this course?

Hands-on lessons and real-world examples to master prompt engineering

Practical exercises toimprove AI outputs immediately

Learn to use top AI tools likeChatGPT, Gemini, Claude, DeepSeek, and Microsoft Copilot

Gain skills that boostproductivity, creativity, and professional growth

By the end of this course, you’ll not only understand AI – you’llmaster the art of prompt engineering, creating outputs that are accurate, creative, and effective. Take control of AI, enhance your workflows, and open doors to new opportunities.

Enroll now and start your journey to becoming a prompt engineering expert today!

Who this course is for:

• Beginners who want to understand AI and prompt engineering from the ground up
• Students and professionals looking to use AI more effectively in studies or work
• Digital marketers, copywriters, and content creators aiming to boost productivity with AI tools
• Business professionals seeking to streamline workflows with AI-powered solutions
• Educators, trainers, and coaches who want to integrate AI into teaching or training
• Anyone curious about how to communicate with AI more effectively and responsibly

More Info

Prompt Engineering for Finance
.MP4, AVC, 1920×1080, 30 fps | English, AAC, 2 Ch | 23m | 70.6 MB
Instructor: Ed Coughlin​

Learn how to apply advanced LLM prompt engineering to real-world finance scenarios. This course teaches finance professionals how to use role-based AI personas to improve financial modeling, scenario analysis, decision-making, and reporting at scale.

What you’ll learn

As finance teams face increasing pressure to deliver faster insights with fewer resources, prompt engineering has emerged as a critical skill for modern financial professionals. In this course, Prompt Engineering for Finance, you’ll gain the ability to use advanced prompt engineering techniques to design, test, and operationalize LLM prompts that mirror real finance workflows.

First, you’ll explore building a driver-based forecast including average unit volume, labor costs, food inflation, and real estate expenses for a restaurant chain scenario. Next, you’ll discover how to use finance engineering prompts to summarize the expansion forecast results, focusing on EBITDA impact, cash flow timing, and key risks. Then, you’ll see how to refine a summary into a one-page executive briefing that highlights decision trade-offs and confidence ranges. Finally, you’ll learn how to create a reusable LLM prompt template that can be used each quarter to forecast new restaurant openings by region.

When you’re finished with this course, you’ll have the skills and knowledge needed to be able to create and operationalize prompt frameworks for reuse, scale, and governance.

Homepage

Prometheus Alerting and Monitoring
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 3h 13m | 2.93 GB
Instructor: Sean Bradley​

Learn and Build Your First Prometheus Alerting and Monitoring System for Your Infrastructure Today

What you’ll learn

Install Prometheus and we see it working
Build a bare bones Prometheus server from scratch, in the cloud.
Learn how to set it up as a service so that it is always running in the background
Configure it to be behind a Nginx Reverse Proxy
Configure a domain name and add SSL to ensure transport layer encryption for the user interface
Add Basic Authentication to restrict user access
Install several Node-Exporters, local and external, manage there firewall rules and compare the differences
Learn the basics of querying metrics from simple metrics, instant vectors, range vectors, functions, aggregates and sub queries
Create custom metrics from complicated queries and save them as Recording Rules
Create Alerting Rules and demonstrate Inactive, Pending and Firing states
Setup a SMTP server to send email alerts
Configure Alert Manager to Send Alerts from Prometheus
Add the Prometheus Alert Manager UI
Install Grafana
Setup the Prometheus Datasource inside Grafana
Setup Prometheus Dashboards for the main Prometheus service and Node exporters

Requirements

Basic Linux Experience
All commands entered during the lectures are provided in the corresponding resources
You have the choice of using dedicated hardware, cloud or locally hosted VMs. In this course, I predominantly use an unrestricted fresh install of Ubuntu 18 in the cloud.

Description

We learn the basics of Prometheus so that you can get started as soon as possible, and to follow the exercises, try them out for yourself and you can see it working.

In this course we will quickly build a bare bones Prometheus server from scratch, in the cloud and on your own Ubuntu 20.04 LTS.

We will keep it simple and set it up on a default, unrestricted, un-customised Ubuntu 20.04 LTS. You will then be able to match what you see in the videos and copy/paste directly from my documentation and see the same result. Once you have the basic experience of seeing Prometheus work, you will be able to problem solve in a more directed manner, and apply your knowledge to other operating systems in the future.

At the end of the course, you will have a basic Prometheus setup, which will be in the cloud, behind a reverse proxy, with SSL, a domain name, Basic Authentication, with several custom recording rules, several alerting rules, several node exporters local and external, with alert manager using a send only SMTP server, a Grafana install, and configured with the Prometheus Datasource and several dashboards.

Who this course is for:

Network and Systems Administrators
Infrastructure Monitoring Specialists
IT Platform Specialists
DevOps Technicians
Enthusiasts wanting a better understanding and better visibility of their IT infrastructure in the home or office
Someone who is curious and wants a better understanding of what Prometheus is and what Prometheus is good at

More Info