QR/Barcode Scanner PRO (Paid App for Android)
🔻 Developer: Smart Scanner
About this app
QR/Barcode Scanner PRO is one of the best QR & Barcode scanner app in the Google play market and is essential for every android device.
QR/Barcode Scanner is extremely easy to use. To scan any code simply open the application and align the code. QR Code & Barcode Scanner will automatically recognize any QR Code or Barcode. When scanning the code, if it contains text you will instantly see it or if it’s a URL you can browse the site by pressing the browse button.



✅ Downloaded: 500k+
⭐️ Rating: 4.5⭐️ Review: (13.1k)
💵 Original Price: $5.99 Now Free
📥 Link: PlayStore (https://play.google.com/store/apps/details?id=com.barcode.qrcode.scanner.reader.pro)
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How far you should stay from different screen sizes 📺🖥💻

https://x.com/tech_psyche/status/1849741275135685093

WebStorm is now FREE for non-commercial use.

https://www.jetbrains.com/webstorm/?utm_campaign=webstorm-free-for-non-commercial&utm_medium=social&utm_source=twitter

Microsoft has a tutorial for C#/dotNet devs looking to learn rust

https://microsoft.github.io/rust-for-dotnet-devs/latest/introduction.html

Rust Cheat Sheet

https://bit.ly/3YkgUwt

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Google Unveils SynthID: A Tool to Watermark AI-Generated Text for Authenticity

Read Full Update Here:
https://bit.ly/4ePmIVM

SynthID was announced last year August and started as a tool to imprint AI imagery in a way that humans can't visually decipher — but can be detected by the system. The approach is different from other aspiring watermarking protocol standards like C2PA, which adds cryptographic metadata to AI-generated content.

HTML Cheat Sheet

16 Websites to Find Remote International Jobs

1. LinkedIn - linkedin.com
2. Indeed - indeed.com
3. Glassdoor - glassdoor.com
4. FlexJobs - flexjobs.com
5. Remote.co - remote.co
6. Upwork - upwork.com
7. Freelancer - freelancer.com
8. Fiverr - fiverr.com
9. Guru - guru.com
10. Toptal - toptal.com
11. AngelList - angel.co
12. SimplyHired - simplyhired.com
13. Remotive - remotive.com
14. Hired - hired.com
15. CloudPeeps - cloudpeeps.com
16. TaskRabbit - taskrabbit.com

WhatsApp Channel
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10 awesome frontend development YouTube channels:

1. Traversy Media 🚀
2. The Net Ninja 🥷
3. Dev Ed 🎨
4. Academind 📚
5. Fireship 🔥
6. Codevolution 💻
7. DesignCourse 🎨
8. Florin Pop 🧑‍💻
9. Web Dev Simplified 🌐
10. Kevin Powell 🎥

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JavaScript Array Methods

What Python Can Do

Road to API Expertise

https://x.com/tech_psyche/status/1847893803807486180

*Here's a good list of cheat sheets for programmers (all free):*

Data Science Cheatsheet

https://github.com/aaronwangy/Data-Science-Cheatsheet

SQL Cheatsheet

sqltutorial.org/sql-cheat-sheet

https://bit.ly/SQL-CheatSheet

https://www.sqltutorial.org/wp-content/uploads/2016/04/SQL-cheat-sheet.pdf

Java Programming Cheatsheet

https://introcs.cs.princeton.edu/java/11cheatsheet/

Javascript Cheatsheet

quickref.me/javascript.html

bit.ly/JavaScript-Cheatsheet

Data Analytics Cheatsheets

https://bit.ly/40fpy1J

Channel Link
https://t.me/TechPsyche

Python Cheat sheet

quickref.me/python.html

https://bit.ly/3AcFffI

GIT Cheatsheet

https://education.github.com/git-cheat-sheet-education.pdf

https://telegra.ph/Git-Cheat-Sheet-Atlassian-10-23

https://about.gitlab.com/images/press/git-cheat-sheet.pdf

HTML Cheatsheet

https://web.stanford.edu/group/csp/cs21/htmlcheatsheet.pdf

htmlcheatsheet.com

CSS Cheatsheet

htmlcheatsheet.com/css

jQuery Cheatsheet

https://bit.ly/3A9L8dw

Free entry to our WhatsApp channel

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9 Best Machine Learning Use cases in our Daily Lives 🚀

👓 Youtube Recommendation
👓 Voice Assistants
👓 arrow Smartphone Camera
👓 Google Maps routes
👓 Email Filtering
👓 Search
👓 Translation
👓 Chatbots
👓 Fraud Protection

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Machine Learning Cheat Sheet

Here is the list of latest trending tech stacks in 2024 👇👇

1. Frontend Development:
   - React.js: Known for its component-based architecture and strong community support.
   - Vue.js: Valued for its simplicity and flexibility in building user interfaces.
   - Angular: Still widely used, especially in enterprise applications.

2. Backend Development:
   - Node.js: Popular for building scalable and fast network applications using JavaScript.
   - Django: Preferred for its rapid development capabilities and robust security features.
   - Spring Boot: Widely used in Java-based applications for its ease of use and integration capabilities.

3. Mobile Development:
   - Flutter: Known for building natively compiled applications for mobile, web, and desktop from a single codebase.
   - React Native: Continues to be popular for building cross-platform applications with native capabilities.

4. Cloud Computing and DevOps:
   - AWS (Amazon Web Services), Azure, Google Cloud: Leading cloud service providers offering extensive services for computing, storage, and networking.
   - Docker and Kubernetes: Essential for containerization and orchestration of applications in a cloud-native environment.
   - Terraform: Infrastructure as code tool for managing and provisioning cloud infrastructure.

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5. Data Science and Machine Learning:
   - Python: Dominant language for data science and machine learning, with libraries like NumPy, Pandas, and Scikit-learn.
   - TensorFlow and PyTorch: Leading frameworks for building and training machine learning models.
   - Apache Spark: Used for big data processing and analytics.

6. Cybersecurity:
   - SIEM Tools (Security Information and Event Management): Such as Splunk and ELK Stack, crucial for monitoring and managing security incidents.
   - Zero Trust Architecture: A security model that eliminates the idea of trust based on network location.

7. Blockchain and Cryptocurrency:
   - Ethereum: A blockchain platform supporting smart contracts and decentralized applications.
   - Hyperledger Fabric: Framework for developing permissioned, blockchain-based applications.

8. Artificial Intelligence (AI) and Natural Language Processing (NLP):
   - GPT (Generative Pre-trained Transformer) Models: Such as GPT-4, used for various natural language understanding tasks.
   - Computer Vision: Frameworks like OpenCV for image and video processing tasks.

9. Edge Computing and IoT (Internet of Things):
   - Edge Computing: Technologies that bring computation and data storage closer to the location where it is needed.
   - IoT Platforms: Such as AWS IoT, Azure IoT Hub, offering capabilities for managing and securing IoT devices and data.

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Enjoy Learning 🤝🤝

20 Common Lies about Artificial Intelligence

𝐓𝐢𝐩𝐬 𝐟𝐨𝐫 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐝𝐢𝐧𝐠 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬:

𝘐 𝘨𝘦𝘵 𝘴𝘰 𝘮𝘢𝘯𝘺 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯𝘴 𝘧𝘳𝘰𝘮 𝘥𝘢𝘵𝘢 𝘢𝘯𝘢𝘭𝘺𝘵𝘪𝘤𝘴 𝘢𝘴𝘱𝘪𝘳𝘢𝘯𝘵𝘴 𝘢𝘯𝘥 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘰𝘯 𝘩𝘰𝘸 𝘵𝘰 𝘨𝘢𝘪𝘯 𝘤𝘰𝘮𝘮𝘢𝘯𝘥 𝘰𝘧 𝘗𝘺𝘵𝘩𝘰𝘯.

📍𝐋𝐞𝐚𝐫𝐧 𝐂𝐨𝐫𝐞 𝐏𝐲𝐭𝐡𝐨𝐧 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: Master Python libraries for data analytics, like
-pandas for dataframes,
-NumPy for numerical operations,
-Matplotlib/Seaborn for plotting,
-scikit-learn for machine learning.

📍𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬: Important concepts like list comprehensions, lambda functions, object-oriented programming, and error handling to write efficient code.

📍𝐔𝐬𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦-𝐒𝐨𝐥𝐯𝐢𝐧𝐠 𝐌𝐞𝐭𝐡𝐨𝐝𝐬: Apply data wrangling techniques, efficient loops, and vectorized operations in NumPy/pandas for optimized performance.

📍𝐃𝐨 𝐌𝐨𝐜𝐤 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: Work on end-to-end Python analytics projects—data loading, cleaning, analysis, and visualization.

📍𝐋𝐞𝐚𝐫𝐧 𝐟𝐫𝐨𝐦 𝐏𝐚𝐬𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: Review your previous Python projects to see where your code can be more efficient.

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