This javascript question is simple.

Let's see how much you know about strings and numbers.
#programming

In JavaScript, when you add numbers together, they add up. But if you mix in a string, it gets stuck to the end. So, 3 + 4 + '5' becomes '75'. Cool, right? 🤓 #JavaScript #Programming

This javascript question is a bit advanced. If you get it correctly without thinking twice, you are a PRO🫡.
Hint: mapping over an array
#programming

Top 10 Dynamic Programming (DP) Problems for Top Tech Interviews 🚀



Dynamic Programming is a cornerstone of solving challenging problems in tech interviews at companies like Google, Amazon, and Microsoft.

Mastering DP not only strengthens your problem-solving skills but also gives you an edge in tackling optimization challenges efficiently.



DP helps developers break down complex problems into smaller, manageable sub-problems, ultimately saving time and reducing errors during coding interviews. It's a critical skill that can set you apart in a competitive job market.

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The Ultimate DevOps Developer Roadmap

1 - Programming Languages
Pick and master one or two programming languages. Choose from options like Python, JavaScript, Go, Ruby, etc.

2 - Operating Systems
Master the ins and outs of major operating systems like Linux, Windows, Mac, and so on.

3 - Source Control Management
Learn about source control management tools such as Git, GitHub, GitLab, and Bitbucket.

4 - Networking
Master the basics of networking concepts such as DNS, IP, TCP, and SSH.

5 - CI/CD
Pick tools like GitHub Actions, Jenkins, or CircleCI to learn about continuous integration and continuous delivery.

6 - Scripting and Terminals
Learn scripting in bash, and PowerShell along with knowledge of various terminals and editors.

7 - Hosting and Platforms
Master multiple hosting platforms such as AWS, Azure, GCP, Docker, Kubernetes, Digital Ocean, Lambda, Azure Functions, etc.

8 - Infrastructure as Code
Learn infrastructure as code tools like Terraform, Pulumi, Ansible, Chef, Puppet, Kubernetes, etc.
@javascript_resources
9 - Monitoring and Logging
Master the key tools for monitoring and logging for infrastructure and applications such as Prometheus, Elasticsearch, Logstash, Kibana, etc.

10 - Basics of Software Development
Learn the basics of software development such as system availability, data management, design patterns, and team collaboration.

Over to you: What else would you add to this roadmap?

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👨💻 20 React Interview Questions: From Basics to Advanced 2025

Prepare for your React interviews with this curated questions. From understanding the fundamentals of React and SPA architecture to diving deep into advanced concepts like Context API, HOCs, and React Portals, this resource has got you covered.



✨ Categories Covered:

1. Freshers' Questions: React basics, JSX, components, props vs. state, and more.

2. Intermediate Topics: Virtual DOM, lifecycle methods, hooks, and props drilling.

3. Advanced Concepts: Context API, reconciliation, React Router, and strict mode.

🧑‍💻 Whether you're a beginner or leveling up your expertise, these questions will sharpen your React skills for your next big interview!

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⚠️ O'Reilly Media, one of the most reputable publishers in the fields of programming, data mining, and AI, has made 10 data science books available to those interested in this field for free .

✔️ To use the online and PDF versions of these books, you can use the following links:👇

0⃣ Python Data Science Handbook
┌ Online
└ PDF

1⃣ Python for Data Analysis book
┌ Online
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🔢 Fundamentals of Data Visualization book
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🔢 R for Data Science book
┌ Online
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🔢 Deep Learning for Coders book
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🔢 DS at the Command Line book
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🔢 Hands-On Data Visualization Book
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🔢 Think Stats book
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🔢 Think Bayes book
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🔢 Kafka, The Definitive Guide
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https://t.me/javascript_resources ✅

Looking to level up your knowledge in Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI)?

Check out this comprehensive cheat sheet compiled by experts from Stanford University and MIT! It covers:

✅ Probability & Statistics – The backbone of ML & AI
✅ Supervised Learning – Linear regression, logistic regression, SVMs, and more
✅ Unsupervised Learning – Clustering, PCA, ICA, and dimensionality reduction
✅ Deep Learning – Neural networks, CNNs, RNNs, reinforcement learning
✅ Mathematical Foundations – Linear algebra, calculus, optimization
✅ ML Tips & Tricks – Model selection, performance metrics, and debugging
@javascript_resources
A must-have for anyone diving into AI, whether you're a beginner or a pro!

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