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.
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.
Best Resources to help you with the journey 👇👇
Javascript Roadmap
https://t.iss.one/javascript_courses/309
Best Programming Resources: https://topmate.io/coding/886839
Web Development Resources
https://t.iss.one/webdevcoursefree
Latest Jobs & Internships
https://t.iss.one/getjobss
Cryptocurrency Basics
https://t.iss.one/Bitcoin_Crypto_Web/236
Python Resources
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Data Science Resources
https://t.iss.one/datasciencefree
Best DSA Resources
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ENJOY LEARNING 👍👍
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.
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.
Best Resources to help you with the journey 👇👇
Javascript Roadmap
https://t.iss.one/javascript_courses/309
Best Programming Resources: https://topmate.io/coding/886839
Web Development Resources
https://t.iss.one/webdevcoursefree
Latest Jobs & Internships
https://t.iss.one/getjobss
Cryptocurrency Basics
https://t.iss.one/Bitcoin_Crypto_Web/236
Python Resources
https://t.iss.one/pythonanalyst
Data Science Resources
https://t.iss.one/datasciencefree
Best DSA Resources
https://topmate.io/coding/886874
Udemy Free Courses with Certificate
https://t.iss.one/udemy_free_courses_with_certi
Join @free4unow_backup for more free resources.
ENJOY LEARNING 👍👍
👍6❤2
How to protect yourself from phishing sites with Google?
Password Alert is an extension which is activated when a user enters his password on a site with the form accounts.google.com. The plugin from Google developers does not store the password, but creates an imprint of it in the browser's local storage.
So far, the plugin is only available on Google Chrome, but there are alternatives - Chrome, Opera, Firefox. They are suitable for phishing protection with different forms of password filling.
#security
Password Alert is an extension which is activated when a user enters his password on a site with the form accounts.google.com. The plugin from Google developers does not store the password, but creates an imprint of it in the browser's local storage.
So far, the plugin is only available on Google Chrome, but there are alternatives - Chrome, Opera, Firefox. They are suitable for phishing protection with different forms of password filling.
#security
👍6
Free courses to learn data science & AI 👇👇
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Share with your friends who want to build their career in this field ❤️
Like for more free content like this ✅
Advanced Python Scheduler (APScheduler) is a Python library for scheduling code to run later, once or periodically.
You can add new "jobs" or delete old ones on the fly at your discretion.
If you save your jobs to the database, they will also outlast a program restart and keep their state.
You can add new "jobs" or delete old ones on the fly at your discretion.
If you save your jobs to the database, they will also outlast a program restart and keep their state.
❤1
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❤3👍3
Ages of Operating Systems👨🏻💻😎
📂 Windows 11 (3 years old)
🪟 Windows 10 (8 years old)
🍎 macOS Yosemite (10 years old)
🐉 Kali Linux (11 years old)
💻 Windows 8 (12 years old)
🌐 Manjaro (11 years old)
💻 Windows 7 (14 years old)
🖥️ Windows Vista (17 years old)
🌿 Linux Mint (18 years old)
🐧 Ubuntu (20 years old)
⚙️ Fedora (20 years old)
🔧 OpenSUSE (20 years old)
⚙️ CentOS (20 years old)
🐧 Arch Linux (22 years old)
🍏 macOS (22 years old)
💻 Windows XP (23 years old)
🖥️ Windows 2000 (24 years old)
📱 Windows 98 (25 years old)
🌍 Windows 95 (28 years old)
💻 Windows 3.1 (29 years old)
🖥️ OS/2 (32 years old)
🐧 Debian (31 years old)
🔴 Red Hat Linux (30 years old)
🎮 AmigaOS (34 years old)
🖥️ Xenix (40 years old)
📀 VMS (44 years old)
💾 MS-DOS (42 years old)
💾 CP/M (49 years old)
🖥️ Unix (54 years old)
#techinfo
📂 Windows 11 (3 years old)
🪟 Windows 10 (8 years old)
🍎 macOS Yosemite (10 years old)
🐉 Kali Linux (11 years old)
💻 Windows 8 (12 years old)
🌐 Manjaro (11 years old)
💻 Windows 7 (14 years old)
🖥️ Windows Vista (17 years old)
🌿 Linux Mint (18 years old)
🐧 Ubuntu (20 years old)
⚙️ Fedora (20 years old)
🔧 OpenSUSE (20 years old)
⚙️ CentOS (20 years old)
🐧 Arch Linux (22 years old)
🍏 macOS (22 years old)
💻 Windows XP (23 years old)
🖥️ Windows 2000 (24 years old)
📱 Windows 98 (25 years old)
🌍 Windows 95 (28 years old)
💻 Windows 3.1 (29 years old)
🖥️ OS/2 (32 years old)
🐧 Debian (31 years old)
🔴 Red Hat Linux (30 years old)
🎮 AmigaOS (34 years old)
🖥️ Xenix (40 years old)
📀 VMS (44 years old)
💾 MS-DOS (42 years old)
💾 CP/M (49 years old)
🖥️ Unix (54 years old)
#techinfo
❤3👍3
Generative AI isn't easy!
It’s the groundbreaking technology that creates new content—whether it’s images, text, music, or even entire virtual worlds.
To truly master Generative AI, focus on these key areas:
0. Understanding the Basics: Learn the foundational concepts of generative models, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and diffusion models.
1. Mastering Neural Networks: Dive deep into the types of neural networks used in generative AI, such as convolutional neural networks (CNNs) for image generation and transformer models for text.
2. Exploring Text Generation Models: Understand the mechanics behind language models like GPT and BERT, and how they generate human-like text.
3. Creating Images with AI: Learn how models like DALL-E and Stable Diffusion generate realistic images from textual prompts.
4. Working with Audio and Music Generation: Explore models like Jukedeck and OpenAI’s MuseNet to create music and sound using AI.
5. Building Custom AI Models: Get hands-on experience with frameworks like TensorFlow, PyTorch, and Hugging Face to train your own generative models.
6. Fine-Tuning Pre-Trained Models: Learn how to adapt large pre-trained models to specific tasks by fine-tuning them with domain-specific data.
7. Ethics and Bias in Generative AI: Understand the ethical implications of creating content using AI, including issues of plagiarism, bias, and misinformation.
8. Evaluating and Enhancing Generated Content: Learn how to assess the quality of generated content and fine-tune models to improve their results.
9. Staying Updated with Cutting-Edge Developments: Generative AI is rapidly evolving—keep up with new advancements, techniques, and applications in the field.
Generative AI is a creative force that blends technology with imagination.
💡 Embrace the challenge of creating innovative, AI-powered content that can transform industries and art.
⏳ With practice, patience, and creativity, you’ll unlock the potential of generative AI to create something truly unique!
#genai
It’s the groundbreaking technology that creates new content—whether it’s images, text, music, or even entire virtual worlds.
To truly master Generative AI, focus on these key areas:
0. Understanding the Basics: Learn the foundational concepts of generative models, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and diffusion models.
1. Mastering Neural Networks: Dive deep into the types of neural networks used in generative AI, such as convolutional neural networks (CNNs) for image generation and transformer models for text.
2. Exploring Text Generation Models: Understand the mechanics behind language models like GPT and BERT, and how they generate human-like text.
3. Creating Images with AI: Learn how models like DALL-E and Stable Diffusion generate realistic images from textual prompts.
4. Working with Audio and Music Generation: Explore models like Jukedeck and OpenAI’s MuseNet to create music and sound using AI.
5. Building Custom AI Models: Get hands-on experience with frameworks like TensorFlow, PyTorch, and Hugging Face to train your own generative models.
6. Fine-Tuning Pre-Trained Models: Learn how to adapt large pre-trained models to specific tasks by fine-tuning them with domain-specific data.
7. Ethics and Bias in Generative AI: Understand the ethical implications of creating content using AI, including issues of plagiarism, bias, and misinformation.
8. Evaluating and Enhancing Generated Content: Learn how to assess the quality of generated content and fine-tune models to improve their results.
9. Staying Updated with Cutting-Edge Developments: Generative AI is rapidly evolving—keep up with new advancements, techniques, and applications in the field.
Generative AI is a creative force that blends technology with imagination.
💡 Embrace the challenge of creating innovative, AI-powered content that can transform industries and art.
⏳ With practice, patience, and creativity, you’ll unlock the potential of generative AI to create something truly unique!
#genai
👍4
How To Hide Personal Photos and Videos
For Android:
To natively hide your photos on an Android device, open up your File Manager. Add a new folder, but start the name with a period. Example: .Secrets.
When you move your photos and videos into this folder, they won't appear in your gallery or albums. ❗️You can only access them through your file manager. 👌
For iPhone:
Just select the photo you want to conceal, and tap "Hide" at the bottom of the screen. This will move the image to your Hidden" folder, and it'll stay out of any Moments, Collections, or Albums.
These device-native hiding techniques aren't password protected or encrypted, though, so using them is more risky. If someone knows your phone passcode, they can still access it.
Also there are apps for this task (password protected or encrypted). Would it be interesting for you to know about them?
#security
For Android:
To natively hide your photos on an Android device, open up your File Manager. Add a new folder, but start the name with a period. Example: .Secrets.
When you move your photos and videos into this folder, they won't appear in your gallery or albums. ❗️You can only access them through your file manager. 👌
For iPhone:
Just select the photo you want to conceal, and tap "Hide" at the bottom of the screen. This will move the image to your Hidden" folder, and it'll stay out of any Moments, Collections, or Albums.
These device-native hiding techniques aren't password protected or encrypted, though, so using them is more risky. If someone knows your phone passcode, they can still access it.
Also there are apps for this task (password protected or encrypted). Would it be interesting for you to know about them?
#security
❤4👍1
Top 10 Free Training Courses on AI for Everyone
1️⃣ Elements of AI: - Link
2️⃣ Google AI for Everyone : Link
3️⃣ IBM AI Foundations for Everyone:- Link
4️⃣ Harvard University : - Link
5️⃣ AWS Skill Builder :- Link
6️⃣ Deep Learning Fundamentals :- Link
7️⃣ Machine Learning Basics:- Link
8️⃣ TensorFlow Basics:- Link
9️⃣ Keras for Beginners:- Link
🔟 ChatGPT Prompt Engineering for Developers:- Link
1️⃣ Elements of AI: - Link
2️⃣ Google AI for Everyone : Link
3️⃣ IBM AI Foundations for Everyone:- Link
4️⃣ Harvard University : - Link
5️⃣ AWS Skill Builder :- Link
6️⃣ Deep Learning Fundamentals :- Link
7️⃣ Machine Learning Basics:- Link
8️⃣ TensorFlow Basics:- Link
9️⃣ Keras for Beginners:- Link
🔟 ChatGPT Prompt Engineering for Developers:- Link
👍8
Ages of Operating Systems👨🏻💻😎
📂 Windows 11 (3 years old)
🪟 Windows 10 (8 years old)
🍎 macOS Yosemite (10 years old)
🐉 Kali Linux (11 years old)
💻 Windows 8 (12 years old)
🌐 Manjaro (11 years old)
💻 Windows 7 (14 years old)
🖥️ Windows Vista (17 years old)
🌿 Linux Mint (18 years old)
🐧 Ubuntu (20 years old)
⚙️ Fedora (20 years old)
🔧 OpenSUSE (20 years old)
⚙️ CentOS (20 years old)
🐧 Arch Linux (22 years old)
🍏 macOS (22 years old)
💻 Windows XP (23 years old)
🖥️ Windows 2000 (24 years old)
📱 Windows 98 (25 years old)
🌍 Windows 95 (28 years old)
💻 Windows 3.1 (29 years old)
🖥️ OS/2 (32 years old)
🐧 Debian (31 years old)
🔴 Red Hat Linux (30 years old)
🎮 AmigaOS (34 years old)
🖥️ Xenix (40 years old)
📀 VMS (44 years old)
💾 MS-DOS (42 years old)
💾 CP/M (49 years old)
🖥️ Unix (54 years old)
#coding
📂 Windows 11 (3 years old)
🪟 Windows 10 (8 years old)
🍎 macOS Yosemite (10 years old)
🐉 Kali Linux (11 years old)
💻 Windows 8 (12 years old)
🌐 Manjaro (11 years old)
💻 Windows 7 (14 years old)
🖥️ Windows Vista (17 years old)
🌿 Linux Mint (18 years old)
🐧 Ubuntu (20 years old)
⚙️ Fedora (20 years old)
🔧 OpenSUSE (20 years old)
⚙️ CentOS (20 years old)
🐧 Arch Linux (22 years old)
🍏 macOS (22 years old)
💻 Windows XP (23 years old)
🖥️ Windows 2000 (24 years old)
📱 Windows 98 (25 years old)
🌍 Windows 95 (28 years old)
💻 Windows 3.1 (29 years old)
🖥️ OS/2 (32 years old)
🐧 Debian (31 years old)
🔴 Red Hat Linux (30 years old)
🎮 AmigaOS (34 years old)
🖥️ Xenix (40 years old)
📀 VMS (44 years old)
💾 MS-DOS (42 years old)
💾 CP/M (49 years old)
🖥️ Unix (54 years old)
#coding
👍9
Artificial Intelligence (Fall 2010)
🆓 Free Online Course
🎬 23 video lesson
⏰ Duration: 24 hours
Teachers: Patrick Henry, Winston
Resource: MIT OpenCourseWare
🔗 https://ocw.mit.edu/courses/6-034-artificial-intelligence-fall-2010/video_galleries/lecture-videos/
🆓 Free Online Course
🎬 23 video lesson
⏰ Duration: 24 hours
Teachers: Patrick Henry, Winston
Resource: MIT OpenCourseWare
🔗 https://ocw.mit.edu/courses/6-034-artificial-intelligence-fall-2010/video_galleries/lecture-videos/
70% of Nvidia Employees are now millionaires; 1 in 3 has over $20 Million
Nvidia's remarkable growth has not only established it as the world's most valuable company but has also generated significant wealth for many of its employees. With the company's stock soaring, Nvidia workers have become some of the largest beneficiaries of this tech boom.
Nvidia's remarkable growth has not only established it as the world's most valuable company but has also generated significant wealth for many of its employees. With the company's stock soaring, Nvidia workers have become some of the largest beneficiaries of this tech boom.
👍5
6 Websites To Practice Faster Typing Online...
⌨️ monkeytype.com
⌨️ keybr.com
⌨️ typings.gg
⌨️ farzher.com
⌨️ typingbolt.com
⌨️ typrx.com
⌨️ monkeytype.com
⌨️ keybr.com
⌨️ typings.gg
⌨️ farzher.com
⌨️ typingbolt.com
⌨️ typrx.com
👍6
WhatsApp is no longer a platform just for chat.
It's an educational goldmine.
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It's an educational goldmine.
If you do, you’re sleeping on a goldmine of knowledge and community. WhatsApp channels are a great way to practice data science, make your own community, and find accountability partners.
I have curated the list of best WhatsApp channels to learn coding & data science for FREE
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Excel for Data Analyst
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Google’s Gemini AI Chatbot tells a user to die
Gemini AI told a user to "die" in response to their test question. Gemini generated three drafts in response, and while the second and third drafts were actual answers, the first draft's text told the user to "Please die."
Looks like Gemini's tired of solving questions, lol.
Gemini AI told a user to "die" in response to their test question. Gemini generated three drafts in response, and while the second and third drafts were actual answers, the first draft's text told the user to "Please die."
Looks like Gemini's tired of solving questions, lol.
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