📰 TAEVision Engineering 's Posts - Thu, May 18, 2023 TAEVision 3D Mechanical Design • Packaging Engineering 📦 Package Design for Parts... • Automotive MercedesBenz AClass A140 • Parts AutoParts Aftermarket wheels tires rims... • Machinery Construction Mining Mining Rock Trucks CAT Caterpillar 797B 01 - Data 180 Packaging Engineering 📦 Industrial Packaging Package Rendering Modeling Dynamics Package Design for Parts AutoParts... Fragile Products... SAC 07 Packaging Foam - Protective Packaging ▸ TAEVision Engineering's Post on Tumblr 02 - Data 520 Automotive THE MAGIC OF BLUE REFLECTS MercedesBenz AClass A140 (W168) ▸ TAEVision Engineering's Post on Tumblr 03 - Data 058 Parts AutoParts Aftermarket wheels tires rims... ▸ TAEVision Engineering's Post on Tumblr 04 - Data 404 Machinery Construction Mining Walking w/ CarterMachinery in an open-pit Mining Mining Rock Trucks [C] CAT Caterpillar 797B Trucks797B ▸ TAEVision Engineering's Post on Tumblr

  📰 I just updated my Pressfolio: TAEVision Mechanics's Online Portfolio - Global Data - May 18, 2023 ▸ TAEVision Mechanics's Online Portfolio (last update)

Global Data - May 18, 2023

✨📦 a care package has arrived for engineer mark from iswm!

wormhole embroidered iron-on patch — $9.99 • pastabilities space-shaped mac n cheese — $13.59 • labradorite tower — $12.90 • artisan solar system soap — $8.50 • galaxy mini enamel pin — $7 • star-moon silicon chewelry necklace — $4 • zooey electra shadow high doll — $51.95 • apollo mug — $19.78 • cyberpunk holographic wormhole sticker — $5

request one for yourself here!

🍟🍧🎂💡💎📦📎

🍟 FRIES - do they order food often? or they prefer to cook their own food?

Oron actually prefers to eat his own food over ordering stuff. When the crew didn't have a kitchen, they had to order food anytime they wanted to eat. He didn't exactly complain, he loves McDonalds.

🍧 SHAVED ICE - do they still have any objects from their childhood? what significance does it have to them? what would their reaction be if they lost it?

While not from his childhood, he does have the original dog tags that he received when he completed his training when he was 15. He still wears them around his neck but it serves a different purpose now.

🎂 BIRTHDAY CAKE - when is their birthday? do they like celebrating it?

Oron does celebrate his birthday! It's October 15th. Usually he would have a BBQ with his friends and family. Ever since moving from Australia though, he doesn't really celebrate because he had no friends.

💡 LIGHTBULB - is your oc a planner? do they write down every small detail or just wing it?

He kind of does 'wing it' at a couple of things but also plans others. Being a robotics engineer he kind of has to plan a couple of things. Everything else he doesn't really plan ahead and thinks on the fly.

💎 DIAMOND - how rich are they? can they live the lifestyle they want to?

Nah he isn't really rich but he can live the lifestyle he wants to. He earns enough to make do while not having to worry about money.

📦 PACKAGE - what are some "most likely to..." that can apply to them?

Oron is most likely to be the one that snaps the hardest within the group. He is most likely to be the one that helps people.

📎 PAPERCLIP - a random fact.

Oron needs a pepsi max to wake up in the morning. He doesn't really drink coffee but the caffeine in the pepsi is enough to get him going in the morning

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Check out this listing I just added to my Poshmark closet: Fitflop Floretta Sandals Saddle Brown Women's Size 8 US/39 EU New w/Tag.

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🔎 TAEVision Engineering on Google - Moment - May 18, 2023 via @flipboard

🦾How to automate your resume using R, R markdown, and GitHub Actions ⚡ Original repo General Automating the creation of your resume is a smart way to save time and keep your information up to date. In this article, I will guide you through a simple process using tools like Rmarkdown and GitHub Actions to automate the generation of your resume. Understanding the Tools 🧰 Before we dive into the process, it's important to understand the tools we'll be using: R: A programming language focused on statistical analysis and data visualization. We'll use R to create and manipulate our resume. Rmarkdown: An extension of R that allows combining code, text, and visual elements into a single document. We'll use Rmarkdown to create a structured resume. GitHub Actions: An automation service provided by GitHub that allows us to create custom workflows. We'll leverage GitHub Actions to automate the resume generation. Docker: A platform that enables packaging, distributing, and running applications in containers. We'll use Docker to create a consistent environment for executing our resume generation process. Now that we understand the tools involved, let's proceed to the automation process: Getting Started First and foremost, you'll need a GitHub account. If you don't have one yet, you can create one here. You'll also need access to a web browser to configure a few things. Step 1: Prepare the Repository 📦 Create a new repository on GitHub for your project. Clone the repository to your computer using Git. Step 2: Add the Resume File 📄 Create a file named data-driven-cv.Rmd (or use any name you prefer, just remember to change it in the action and it should be .Rmd) in the root of your repository. Open the file in your favorite text editor. The file should have this header: --- name: Your name surname: Your surname address: "Your address" profilepic: "./imgs/zero-cool.jpeg" position: "Software Engineer | Frontend Developer" www: "yoursite.dev" email: "[email protected]" github: yourgithub linkedin: yourlinkedin date: "`r format(Sys.time(), '%B %Y')`" headcolor: 7d34eb # Here you can choose your favorite color aboutme: "I am a software engineer with over 6 years of experience in developing modern web applications. My passion lies in creating incredible and functional user interfaces." docname: Resume output: vitae::awesomecv --- Note that in the last attribute of the YAML, you have the vitae::awesomecv. This is just one of the mentioned templates, the others are available here. In this section, personal information and resume formatting are defined. This includes name, surname, position, website links, contact information, resume creation date, header color, and a brief description about you. The file should follow this structure: --- name: Your name surname: Your surname address: "Your address" profilepic: "./imgs/zero-cool.jpeg" position: "Software Engineer | Frontend Developer" www: "yoursite.dev" email: "[email protected]" github: yourgithub linkedin: yourlinkedin date: "`r format(Sys.time(), '%B %Y')`" headcolor: 7d34eb # Here you can choose your favorite color aboutme: "I am a software engineer with over 6 years of experience in developing modern web applications. My passion lies in creating incredible and functional user interfaces." docname: Resume output: vitae::awesomecv --- {r setup, include=FALSE} knitr::opts_chunk$set(echo = FALSE, warning = FALSE, message = FALSE) require(xfun) packages % detailed_entries( with = title, what = unit, why = detail, when = glue::glue("{startMonth} {startYear} -- {endMonth} {endYear}", .na = ""), where = where ) # Education {r EDUCATION} edu %>% detailed_entries( with = inst, what = degree, why = detail, when = glue::glue("{startYear} -- {endYear}", .na = ""), where = where ) \pagebreak # Skills {r SKILLS} skills %>% detailed_entries( with = area, what = skills, why = detail ) \pagebreak # Projects {r PROJECTS} projects %>% detailed_entries( with = accomplishment, what = area, when = glue::glue("{year}", .na = ""), where = where, why = detail ) # Certifications {r CERTIFICATIONS} certifications %>% detailed_entries( with = accomplishment, what = area, when = glue::glue("{year}", .na = ""), where = where, why = detail ) # Honors and Awards {r HONORS} honors %>% detailed_entries( with = accomplishment, what = area, when = glue::glue("{year}", .na = ""), where = where, why = detail ) Step 2: Creating data.R 📝 Create a folder named "data." Create a file named data.R with the following structure: skills <- tribble( ~area, ~skills, ~detail, "Technology", "Javascript", "Experience with Javascript in front-end projects using React", "Technology", "Javascript", "Redux, Redux Toolkit, and Context API for state management", "Technology", "Javascript", "Jest and React Testing Library for unit tests", NA, "Typescript", "Using Typescript with Prisma for database access.", NA, "Elixir", "Exploring Elixir in personal projects using Phoenix and Ecto.", NA, "Elixir", "Using LiveView for fullstack applications.", NA, "HTML", "Creating semantic and accessible web pages.", NA, "CSS", "Styling projects using SASS and BEM methodology.", NA, "Rust", "Learning Rust for secondary projects.", NA, "Rust", "Following the zero2prod book.", NA, "DevOps", "Experience with virtualization and containers using Docker.", NA, "DevOps", "CI/CD with Github Actions and TravisCI.", NA, "Databases", "Working with SQL and NoSQL databases.", NA, "Databases", "MongoDB for non-relational databases.", "Languages", "Portuguese", "Native language.", "Languages", "English", "Fluent.", ) edu <- tribble( ~degree, ~startYear, ~endYear, ~inst, ~where, ~detail, "Bachelor's in Computer Science", 2015, 2019, "Imaginary University", "Fictional City, Fictional State, Fictional Country", "Studies in algorithms, data structures, and object-oriented programming.", "Master's in Software Engineering", 2020, 2022, "Fictional University", "Fictional City, Fictional State, Fictional Country", "Research in software development, focus on agile methodologies and scalable architectures.", ) work <- tribble( ~title, ~unit, ~startMonth, ~startYear, ~endMonth, ~endYear, ~where, ~detail, "Software Engineer", "TechSoft", "January", 2020, "December", 2022, "Fictional City, Fictional State", "Worked as part of a team in developing web applications using React and Redux.", "Full Stack Developer", "WebTech", "March", 2018, "November", 2019, "Fictional City, Fictional State", "Participated in the development of a full stack application using Node.js, React, and MongoDB.", "Development Intern", "ByteCorp", "July", 2017, "December", 2017, "Fictional City, Fictional State", "Gained practical experience working on software development projects.", ) honors <- tribble( ~area, ~accomplishment, ~year, ~where, ~detail, "Hackathon", "Best Computing Student", 2021, "Wall Street", "Awarded 1 billion dollars.", "Academic Recognition", "Best Computing Student", 2019, "Imaginary University", "Recognized for academic excellence in the field of Computing.", "Programming Competition", "1st Place in Algorithms", 2018, "Fictional Programming Event", "Achieved first place in the algorithm programming competition.", ) projects <- tribble( ~area, ~accomplishment, ~year, ~where, ~detail, "Software Development", "Task Management System", 2022, "TechSoft", "Led the creation of a task management system using React and Redux.", "Software Development", "E-Commerce Platform", 2021, "Fictional Company", "Participated in the development team of an e-commerce platform.", ) certifications <- tribble( ~area, ~accomplishment, ~year, ~where, ~detail, "Professional Certifications", "React Certification", 2021, "Fictional Online Learning Platform", "Obtained React certification to showcase skills in the library.", "Professional Certifications", "Docker Certification", 2020, "Fictional Online Learning Platform", "Achieved Docker certification to demonstrate container knowledge.", ) Step 3: Setting Up Automation 🤖 On GitHub, go to the "Actions" tab in your repository. Click on "Set up a workflow yourself" to create a workflow file. Paste the following code into the file and save: name: CI for CV on: push: paths: - .github/workflows/ci.yml - 'markdowns/**' - 'data/**' branches: - main permissions: write-all jobs: build: name: Creation of resume in en and pt-br runs-on: ubuntu-latest container: image: mlampros/mycvitae:rstudiodev steps: - name: Set up Git repository uses: actions/checkout@v3 - name: Installing texlive run: | sudo apt-get -y update sudo apt-get install -y texlive-base texlive-latex-base sudo apt-get install -y texlive-latex-recommended sudo apt-get install -y texlive-xetex sudo apt-get install -y texlive-fonts-extra - name: Render the resumes run: | Rscript -e "rmarkdown::render(input = file.path(getwd(), 'data-driven-resume.Rmd'), params = list(work_dir = getwd()))" Rscript -e "rmarkdown::render(input = file.path(getwd(), 'data-driven-resume-pt-br.Rmd'), params = list(work_dir = getwd()))" - name: Commit files run: | git config --local user.email "[email protected]" git config --local user.name "GitHub Actions" git add . git commit -am "add the cv in english and pt-br files to the directory of the repository" git push Wrapping Up If you've followed all the steps correctly, you'll likely see the resume with a header similar to the one above. PS: Yeah, I know that the image is in pt-br but I'm lazy and I'm not redo all the steps just to generate one image. Conclusion Automating the creation of your resume using Rmarkdown, GitHub Actions, and Docker is an effective way to keep your information updated and relevant. The benefits range from saving time to showcasing your technical skills to employers. If you have any questions, feel free to reach out! Also, if you have any contributions, please fork the repository and open a pull request. I'll be happy to review them. I hope this article has been helpful and that you're ready to automate your resume. Happy hacking! :) https://dev.to/girordo/how-to-automate-your-resume-using-r-r-markdown-and-github-actions-2bej

📦 PACKAGE - what are some "most likely to..." that can apply to them?

✨ @the27percent. meme. still accepting!

MOST LIKELY TO... GO TO THE CONVENIENCE STORE FOR CHIPS WHILE WEARING $3,000 BOOTS.

MOST LIKELY TO... TAKE A VACATION TO PORTUGAL FOR TWO WEEKS AFTER BEING INCONVENIENCED A SINGLE TIME.

MOST LIKELY TO... PAINT AN ENTIRE GALLERY’S WORTH OF PORTRAITS AND SHOW THEM TO ANYONE.

MOST LIKELY TO... MOST LIKELY TO ARGUE WITH YOU AND WIN IN A WAY YOU HAVE NEVER SEEN BEFORE.

MOST LIKELY TO... MOST LIKELY TO BE BEAUTIFUL. WHEN? WHENEVER.

MOST LIKELY TO... STUDY ABOUT THINGS IRRELEVANT TO HIS INTERESTS LIKE COMBUST ENGINES OR WATER TREATMENT PLANTS JUST FOR THE SAKE OF KNOWLEDGE AND KNOWING THINGS.

MOST LIKELY TO... JUST LIKE BE REALLY COOL AND STUFF.

🔎 TAEVision Engineering on Google - Thu, May 18, 2023 3D Mechanical Design Packaging Engineering 📦 ... Industrial Packaging Package Rendering Modeling Dynamics ... Package Design for Parts AutoParts... Fragile Products... SAC 07 Packaging Foam - Protective Packaging ▸ TAEVision Engineering on Google

Google Search - May 18, 2023

⚡️ TAEVision Engineering - Moment - May 18, 2023 via @flipboard

⚡️ TAEVision Engineering - Moment - May 18, 2023

⚡️ TAEVision Engineering - Moment - May 18, 2023 3D Mechanical Design Packaging Engineering 📦 ... Industrial Packaging Package Rendering Modeling Dynamics ... Package Design for Parts AutoParts... Fragile Products... SAC 07 Packaging Foam - Protective Packaging ▸ TAEVision Engineering on Tumblr ▸ TAEVision Engineering on Flipboard ▸ Package Design ... Packaging Engineering 📦 ... [Ani06]

TAEVision Moment on Tumblr - Data 180 - May 18, 2023