Artemis by Nomi Health’s Post

🕵️♂️💻🔍Unveiling the Secret Life of Software Engineers: CSI Edition Ever wondered what it's like to be a software engineer? Picture this: a thrilling, edge-of-your-seat job that rivals your favorite CSI show. Sounds like a stretch? Let me break it down for you with a dash of humor! The Desk Software Engineer: Multiple monitors, lines of code, and debugging tools. It's like a digital crime scene waiting to be solved. CSI Investigator: Lab equipment, forensic tools, and crime scene photos. Each clue tells a part of the story. The Tools Software Engineer: Armed with IDEs (Integrated Development Environments), data analytics, and the trusty Stack Overflow – the digital magnifying glass. CSI Investigator: Fingerprint dusters, DNA sequencers, and the classic magnifying glass. Every detail matters. The Problem-Solving Software Engineer: Bugs in the code? It is time to dig through logs, analyze patterns, and solve the mystery. Coffee is their partner in crime. CSI Investigator: Evidence doesn't add up? It is time to scrutinize every piece, run tests, and catch the culprit. Coffee is their lifeline, too. The Teamwork Software Engineer: Collaborating with the team, sharing insights, and piecing together the puzzle. Sometimes, it's like a hackathon crime scene. CSI Investigator: Coordinating with the team, sharing findings, and putting together the big picture. Every case is a team effort. So, the next time you think of software engineers as just coding geeks, remember: they are the CSI of the digital world, solving mysteries one bug at a time! #SoftwareEngineering #CSILife #Debugging #Forensics #TechHumor #CodingLife #ProblemSolving #Teamwork #DigitalDetectives #CoffeeAndCode #DevCommunity #TechInsights #Caspio #AppDevelopment #SoftwareDevelopers

PSA: I suggest following along with everything Harry L. does! A year ago, I reviewed a random contribution from an anonymous person on the internet to our open-source repo. Today, that "anon" has become a good friend, a critical team member, and works harder than almost anyone I know! Even though he's still in college, he's contributing as much as any other full-time engineer and we're just getting started. Read about his story here: https://lnkd.in/eRqHfJNc

DSA(Data structures and Algorithms) is actually a core aspect of the work engagements of backend engineers. It is actually crucial for all categories of software engineers, but simply more crucial for backend engineers. Beyond the very much structured and repetitive nature of tasks in fields like front-end engineering, design, and prolly DevOps, backend engineering is a field that very much demands DEEP thought-fullness and logical reasoning/thinking. A thorough understanding of data structure and algorithms will do much good. Grinding LeetCode and HackerRank challenges are worth it after all.

RUST vs C++ The choice between Rust and C++ carries significant weight, particularly in the data engineering domain. As developers navigate the intricate balance between efficiency, safety, and community support, Rust emerges as a compelling preference over C++. This exploration delves into the core reasons why Rust is increasingly favored, highlighting its distinctive attributes in memory safety, performance, concurrency, and the flourishing community ecosystem that positions Rust as a robust contender in the realm of data engineering. Why Rust Over C++? 1. **Memory Safety**: Rust's biggest selling point is its memory safety without garbage collection. It handles memory management at compile time, reducing runtime errors and security vulnerabilities. This feature is a game-changer, making Rust a safer option compared to C++ which is prone to memory errors. 🛡️ 2. **Performance**: Rust offers performance akin to C++ but with added safety. This efficiency is crucial in data engineering where processing large datasets quickly and reliably is key. 🏎️ 3. **Concurrency**: Rust's approach to concurrency is more modern and less error-prone than C++, thanks to its ownership model. This makes it ideal for data-intensive tasks that require parallel processing. ⚙️ 4. **Community and Ecosystem**: The Rust community is rapidly growing, contributing to a rich ecosystem of libraries and tools. This support system is invaluable for developers, especially in a field as dynamic as data engineering. #ProgrammingLanguages #RustVsCPP #DataEngineering #EfficiencyInCoding #MemorySafety #TechDebate #CommunitySupport #ConcurrencyMatters #DeveloperChoices #SafeCoding #CodingEfficiency #TechExploration #RustCommunity #DataProcessing #ProgrammingEfficiency #CodingSafety #TechInnovation #SoftwareDevelopment #CodingPreferences #InnovativeTech

RUST vs C++ The choice between Rust and C++ carries significant weight, particularly in the data engineering domain. As developers navigate the intricate balance between efficiency, safety, and community support, Rust emerges as a compelling preference over C++. This exploration delves into the core reasons why Rust is increasingly favored, highlighting its distinctive attributes in memory safety, performance, concurrency, and the flourishing community ecosystem that positions Rust as a robust contender in the realm of data engineering. Why Rust Over C++? 1. **Memory Safety**: Rust's biggest selling point is its memory safety without garbage collection. It handles memory management at compile time, reducing runtime errors and security vulnerabilities. This feature is a game-changer, making Rust a safer option compared to C++ which is prone to memory errors. 🛡️ 2. **Performance**: Rust offers performance akin to C++ but with added safety. This efficiency is crucial in data engineering where processing large datasets quickly and reliably is key. 🏎️ 3. **Concurrency**: Rust's approach to concurrency is more modern and less error-prone than C++, thanks to its ownership model. This makes it ideal for data-intensive tasks that require parallel processing. ⚙️ 4. **Community and Ecosystem**: The Rust community is rapidly growing, contributing to a rich ecosystem of libraries and tools. This support system is invaluable for developers, especially in a field as dynamic as data engineering. #ProgrammingLanguages #RustVsCPP #DataEngineering #EfficiencyInCoding #MemorySafety #TechDebate #CommunitySupport #ConcurrencyMatters #DeveloperChoices #SafeCoding #CodingEfficiency #TechExploration #RustCommunity #DataProcessing #ProgrammingEfficiency #CodingSafety #TechInnovation #SoftwareDevelopment #CodingPreferences #innovativetech

Everyone is replaceable.  While this is true (the Earth won't stop rotating around it's axis if you leave) I'm wondering what the costs in the case of software engineers are. Most developer jobs require about one whole year or more for someone new to accommodate and get familiar with the code, tools, industry, team etc. After investing so much time in someone why letting him / her go so easily? What about someone who has 5+ or 10+ years in the company? Instead of giving him / her the well-deserved raise he / she asked for, what they often face are false promises, ignorance, neglect. After they quit, the search begins for Senior / Expert / Ninja / Swiss knife engineers with 150 years of experience. Capitalism? Ego? Stupidity?

New role! Senior Compiler Research Engineer - #Switzerland. To find out more, please visit the link below #Embeddedsoftwarerecruiter #TechnologyCareers #Testdevelopment #Kerneldevelopment #Embeddedlinux #TechnologyRecruitment #EmbeddedSoftwareTest #TechnologyJobs #Embeddedsoftwaredevelopment #Python #Firmwareengineer #Baremetal #ICResources #RTOS #SoftwareContractJobs#SoftwareContract#SoftwareFreelancer #Devicedriver #Firmware #Cprogramming

Worth reading for Python developers. Linting and Formatting https://lnkd.in/dHZhpUJT

"Code never lies, comments sometimes do". Starting with this message hello #everyone!🚀 On this #29th day of the #100daysofcodingchallenge, I embark on a thrilling journey to enhance my core DSA logic. Join me in this exciting adventure! 💻. Problem statement:Longest Common Prefix Write a function to find the longest common prefix string amongst an array of strings. If there is no common prefix, return an empty string "". Example 1: Input: strs = ["flower","flow","flight"] Output: "fl" Time Complexity - O(N^2) Space complexity - O(1) Check my Twitter Account as well link- https://lnkd.in/d3ggmT3j GitHub link- https://lnkd.in/dhViAyB9 #coding #challenge #challengeyourself #drgvishwanathanchallenge #100daysofcodingchallenge Shriram R sir. #DataScienceRecruitment #techtalent #codingchallenge #200DaysOfCoding #stem #techrecruitment #CodeForSuccess #stemmen #DataScientists #RecruitTechTalent #DiversityInTech #codeeveryday #coders #DataScienceJobs #CodeToHire #TechDiversity #CodingJourney #STEMRecruitment #recruitment #TechHiring #softwareengineer #softwaredeveloper #softwareengineer 

🚀 "Things I Learnt from a Senior Software Engineer" 🧠 Ever wondered what goes on in the mind of a seasoned software engineer? I just stumbled upon this amazing article by Neil Kakkar that's like a backstage pass to the thought processes of tech wizards! 🚀 To all my fellow tech and software engineering enthusiasts: this article is your secret weapon. It's like finding the cheat codes to level up in the game of software engineering! I would highly recommend you check it out!! Loved the following qoutes in the article 💡 “The main value in software is not the code produced, but the knowledge accumulated by the people who produced it.” - Li 💡 There are two hard things in computer science: cache invalidation, naming things, and off-by-one errors. - Leon Bambrick #SoftwareEngineering #TechCareers #CodeLife #DevOps #TechTalent #ITJobs #FullStack #CloudComputing #AIEngineer #DataScience #CyberSecurity #MobileDev #AgileMethodology #TechLeadership #StartupLife #InnovationInTech #SoftwareArchitecture #CodeQuality #TechConferences #OpenSource