Jay Amorin

Paid to clean. Linux. DevOps. Python. Javascript. Entrepreneur.

[Jay Amorin @jayamorin]

This Guy Built His Own MacBook Killer Laptop https://t.co/URO9Kn9I4z via @YouTube

[Jay Amorin @jayamorin]

🚀 Elon Didn't Just Build Wealth. He Built Over 1 Million Jobs. https://t.co/eiP36r1INP via @YouTube

[The Market Mind @Market_Mind_]

Time Management

[Ejaz Bashir @Ejaz_bashir1]

100+ AI Tools you need to know before 2026

1. Research
- Claude
- Copilot
- Gemini
- Abacus
- Perplexity

2. Image

- Fotor
- Dalle 3
- Stability AI
- Midjourney
- Microsoft Designer

3. CopyWriting

- Rytr
- Copy AI
- Writesonic
- Adcreative AI

4. Writing

- Jasper
- HIX AI
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- Textblaze
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5. Website

- 10Web
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6. Video

- Klap
- Opus
- Eightify
- InVideo
- HeyGen
- Runway
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- Morphstudio .xyz

7. Meeting

- Tldv
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8. SEO

- VidIQ
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- Keywrds ai

9. Chatbot

- Droxy
- Chatbase
- Mutual info
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10. Presentation

- Decktopus
- Slides AI
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11. Automation

- Make
- Zapier
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12. Prompts

- FlowGPT
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- PromptBox
- Promptbase
- Snack Prompt

13. UI/UX

- Figma
- Uizard
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- Photoshop

14. Design

- Canva
- Flair AI
- Designify
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15. Logo Generator

- Looka
- Designs AI
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16. Audio

- Lovo ai
- Eleven labs
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17. Productivity

- Merlin
- Tinywow
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18. Social media management

- Tapilo
- Typefully
- Hypefury
- TweetHunter

Follow @Ejaz_bashir1 for more.

[Jay Amorin @jayamorin]

@News5PH lmao

[D-Coder @Damn_coder]

120 Mind blowing AI tools🔥

[Satyasheel Singh @ItsSatyasheel]

Linux Performance Observability Tools.

[Alex Xu @alexxubyte]

Top 12 Tips for API Security

[Alex Xu @alexxubyte]

8 Tips for Efficient API Design

[Dr Milan Milanović @milan_milanovic]

𝗠𝗼𝘀𝘁 𝗖𝗼𝗺𝗺𝗼𝗻 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗦𝘁𝘆𝗹𝗲𝘀

Software architecture styles are the foundational blueprints for constructing various software systems, ensuring they meet specific requirements and quality attributes.

By adhering to a suitable architecture style, organizations can ensure that their software systems are built to align with their strategic goals, accommodate future changes, and are resilient in the face of evolving technological landscapes and user demands.

Here are the most common styles:

𝟭. 𝗠𝗼𝗻𝗼𝗹𝗶𝘁𝗵𝗶𝗰: Builds the entire application as a single unit, where all functionalities and components are managed and served from one place.

𝟮. 𝗦𝗲𝗿𝘃𝗶𝗰𝗲-𝗢𝗿𝗶𝗲𝗻𝘁𝗲𝗱 (𝗦𝗢𝗔): Divides a system into individual services, each providing specific functionalities and allowing them to communicate and interact, promoting reusability and easier management of each service independently.

𝟯. 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁-𝗕𝗮𝘀𝗲𝗱: The software is built using different modular components, each providing a specific functionality, and these components can be easily replaced, updated, or modified without affecting the entire system.

𝟰. 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Divides and manages the software components across multiple machines or networks to provide a unified service, enhancing scalability and reliability.

𝟱. 𝗘𝘃𝗲𝗻𝘁-𝗗𝗿𝗶𝘃𝗲𝗻: Designed to respond to events or messages, where components perform actions in response to receiving specific notifications, making the system reactive and capable of handling asynchronous operations.

𝟲. 𝗜𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗲𝗿: Involves translating high-level code into machine code line by line, executing it directly rather than compiling it first, providing flexibility but often at the cost of performance.

𝟳. 𝗗𝗮𝘁𝗮-𝗰𝗲𝗻𝘁𝗿𝗶𝗰: Prioritizes the management and utilization of data, ensuring that data integrity, storage, and retrieval are optimized, and the system’s functionalities are built around efficient data processing.

Each architectural style offers unique advantages and may be chosen based on the specific needs, challenges, and context of the software being developed.

#softwareengineering #softwarearchitecture #softwaredesign

[Manish Kumar Shah @manishkumar_dev]

Google, IBM and Harvard University are sponsoring Free courses for Python

𝟭. 𝗖𝗦𝟱𝟬𝗣 𝗳𝗿𝗼𝗺 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆
https://t.co/lI20d9WbsW

𝟮. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗯𝘆 𝗜𝗕𝗠
https://t.co/HmlPnctss1

𝟯. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗯𝘆 𝗨𝗱𝗮𝗰𝗶𝘁𝘆 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘
https://t.co/4278dCRuAN

𝟰. 𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗯𝗮𝘀𝗶𝗰𝘀
https://t.co/o5sqOGIN15

𝟱. 𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 - 𝗙𝘂𝗹𝗹 𝗖𝗼𝘂𝗿𝘀𝗲 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀 𝗯𝘆 𝗙𝗿𝗲𝗲𝗖𝗼𝗱𝗲𝗖𝗮𝗺𝗽
https://t.co/JYXyKkBOw1

6. Machine Learning with Python
https://t.co/C6agbumy0S

7. Python for Beginners (2023)
https://t.co/G5DW6VMdUg

8. Learn Python for Total Beginners
https://t.co/C4cfUmaRdV

9. Python for Data Science, AI & Development
https://t.co/gTbLYAFn8B

10. Python for Everybody Specialization
https://t.co/H7AIMAUUDn

11. Crash Course on Python
https://t.co/pZYQ3d4ppE

12. Google IT Automation with Python Professional Certificate
https://t.co/x4Hh93E5BZ

13. Python 3 Programming Specialization
https://t.co/KITQXqIqN2

14. Get Started with Python by Google
https://t.co/rfboj49Q8R

15. Programming in Python by Meta
https://t.co/reYWjwSIY9

16. Data Analysis with Python by IBM
https://t.co/3N3nlj9euz

Become a Python Backend Developer in 4 Months! 💼🔥

🚀 𝗬𝗼𝘂𝗿 𝟰-𝗠𝗼𝗻𝘁𝗵𝘀 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗹𝗮𝗻 🚀

1️⃣ 𝗠𝗼𝗻𝘁𝗵 𝟭: 𝗚𝗲𝘁 𝘆𝗼𝘂𝗿 𝗯𝗮𝘀𝗶𝗰𝘀 𝗿𝗶𝗴𝗵𝘁

1. Learn Python:https://t.co/Z8TDfyRV8S
2. Python Projects: https://t.co/pw0cz1MGzX
3. DSA with Python: https://t.co/nG52NVKXfv

2️⃣ 𝗠𝗼𝗻𝘁𝗵 𝟮: 𝗗𝗶𝘃𝗲 𝗶𝗻𝘁𝗼 𝗙𝗹𝗮𝘀𝗸 𝗮𝗻𝗱 𝗔𝗣𝗜

Learn Flask: https://t.co/J2Z8aQEuYa
Flask Projects: https://t.co/C6isapYd4U
Learn REST API with Flask: https://t.co/9Oog6HXBFU

3️⃣ 𝗠𝗼𝗻𝘁𝗵 𝟯: 𝗠𝗮𝘀𝘁𝗲𝗿 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀

1. Learn Multithreading, Multiprocessing, Asyncio: https://t.co/AunQ4OnzJf
2. Gunicorn & Nginx with Flask: https://t.co/zF2lmOudfR
3. TDD with Python & Flask: https://t.co/frw4zRusnR
4. Basic RDBMS: https://t.co/ZW6cxPelhE
5. Learn SQL: https://t.co/HhRIlpjuh1 & https://t.co/Dw2NsYPzdP
6. PostgreSQL with Python: https://t.co/9kNBk3hnwI
7. Flask App with PostgreSQL: https://t.co/L3FLBwvatO

4️⃣ 𝗠𝗼𝗻𝘁𝗵 𝟰: 𝗣𝗼𝗹𝗶𝘀𝗵 𝘆𝗼𝘂𝗿 𝘀𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗽𝗿𝗲𝗽𝗮𝗿𝗲 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗷𝗼𝗯 𝗺𝗮𝗿𝗸𝗲𝘁

1. Basics of Bash: https://t.co/xLUpDh9isZ
2. Basics of Docker: https://t.co/nAz86BWn13
3. Deploy Flask App with Docker: https://t.co/fYrFI2XbSG
4. GIT & GitHub: https://t.co/egDZe2ELnb
5. Python Portfolio on Github: https://t.co/Q6J2viqvPa
6. Python Resume Ideas: https://t.co/rr2TvTUS0f

Follow @manishkumar_dev for more such content.

[Secular Chad @SachabhartiyaRW]

Linux users 😎💪💪

#Microsoft #Windows #crowdstrike #Infosys

[Python Coding @clcoding]

Downloading a YouTube Playlist using Python

[Dr Milan Milanović @milan_milanovic]

𝗪𝗵𝗮𝘁 𝘀𝗸𝗶𝗹𝗹𝘀 𝗱𝗼 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝗮𝘀 𝗮 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗮𝘁 𝗲𝗮𝗰𝗵 𝗹𝗲𝘃𝗲𝗹 𝗼𝗳 𝘀𝗲𝗻𝗶𝗼𝗿𝗶𝘁𝘆?

There is always a question of who is a senior engineer and who is not. What skills or experience should a senior engineer have on this level? Navigating the path from entry-level to senior software engineer roles involves mastering various skills.

𝟭. 𝗝𝘂𝗻𝗶𝗼𝗿 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿

🔹 Technical Skills: At the beginning of your career, it's crucial to master core programming languages like JavaScript, Python, or Java. This will provide a solid foundation and equip you for the challenges ahead. You will also gain a solid understanding of software design principles and familiarize yourself with essential database management.

🔹 Soft Skills: You start learning and aim to become good at effective communication and teamwork. Develop basic time management skills and constantly learn new things.

𝟮. 𝗠𝗲𝗱𝗶𝗼𝗿 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿

🔹 Technical Skills: As you progress, deepen your programming knowledge and learn multiple languages or paradigms (such as functional, OO, etc.). Improve your understanding of software design patterns and architecture. Gain hands-on experience with cloud platforms.

🔹 Soft Skills: Work on your communication and collaboration abilities by learning to write e-mails, manage your time, run meetings, etc. Focus on improving problem-solving and critical thinking skills. Start mentoring junior engineers to share your knowledge and experience.

𝟯. 𝗦𝗲𝗻𝗶𝗼𝗿 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿

🔹 Technical Skills: At this stage, you should master one or more programming languages (or ecosystems) and deeply understand software architecture.

🔹 Soft Skills: Leadership and project management become vital. Use your strong communication and presentation skills to explain technical concepts effectively to diverse audiences. Excel in problem-solving and decision-making. Continue mentoring and coaching engineers to build a solid technical team.

🔹 Domain Knowledge: Gain an in-depth understanding of your industry, whether healthcare, finance, e-commerce, or another field.

𝟰. 𝗦𝘁𝗮𝗳𝗳 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿

🔹 Technical Skills: As a staff engineer, you must have exceptional programming, software design, and architecture expertise. Lead strategic implementations of different technical solutions across different projects.

🔹 Soft Skills: Lead cross-functional projects with strong leadership and influence. Develop excellent communication, influencing, and negotiation skills. Exhibit superior problem-solving and critical thinking abilities. Mentor and develop technical talent within the organization.

🔹 Domain Knowledge: Lead domain-specific projects and share your expertise across the organization. Stay updated with industry trends and standards.

This is the first level where the growth on soft skills is higher than on the technical level.

#management #careers

[Dr Milan Milanović @milan_milanovic]

𝗗𝗲𝘃𝗢𝗽𝘀 𝗮𝘀 𝗮 𝗕𝘂𝗿𝗴𝗲𝗿 (𝗗𝗮𝗮𝗕)

What should the DevOps engineer roadmap look like:

𝟭. 𝗟𝗲𝗮𝗿𝗻 𝗮 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 (Python, Go, ...) to write automation scripts

𝟮. 𝗠𝗮𝘀𝘁𝗲𝗿 𝗼𝗻𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺 (Linux) and its command-line interface (CLI)

𝟯. 𝗠𝗮𝘀𝘁𝗲𝗿 𝘀𝗲𝗿𝘃𝗲𝗿 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, web servers, including proxies such as Nginx or IIS

𝟰. 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘂𝘀𝗶𝗻𝗴 𝗗𝗼𝗰𝗸𝗲𝗿

𝟱. 𝗖𝗵𝗲𝗰𝗸 𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀

𝟲. 𝗨𝗻𝗹𝗼𝗰𝗸 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲 (IaC) using tools like Terraform, Ansible, Chef, or Puppet for provisioning and configuration management

𝟳. 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗽𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀: DNS, IP addresses, ports, and the OSI model

𝟴. 𝗘𝗺𝗯𝗿𝗮𝗰𝗲 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻/𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 (𝗖𝗜/𝗖𝗗) 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 for automating app delivery and deployment stages

𝟵. 𝗠𝗮𝘀𝘁𝗲𝗿 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 for real-time oversight of applications, services, and infrastructure

𝟭𝟬. 𝗚𝗮𝗶𝗻 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗖𝗹𝗼𝘂𝗱 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀 like AWS and Azure.

To learn more about it, check out my complete DevOps roadmap for 2024 in the comments.

#technology #softwareengineering #programming #techworldwithmilan #devops

[Prof. Feynman @ProfFeynman]

1. Read and write more.
2. Don't hesitate to admit when you're wrong.
3. Be comfortable changing your opinion.
4. Find a mentor.
5. Stay teachable.
6. Make mistakes and learn.
7. Don't get offended easily.
8. Ask questions.
9. Spend time with nature.
10. Stay humble.

[Prof. Feynman @ProfFeynman]

Never confuse education with intelligence, you can have a PhD and still be an idiot. 🧠

[Sourabh Singh Katoch @SourabhSKatoch]

How to get hired at Stackoverflow.

#100DaysOfCode #MachineLearning #Python #programming #IoT #flutter #100DaysOfMLCode #AI #javascript #womenwhocode #RStats #Serverless #CodeNewbie #DataScience #DEVCommunity

[Jay Amorin @jayamorin]

#COVID19PH