What I see in most Java resumes: - Java - Spring - Microservices Great, I see you know Java. But as a senior, can you build, run, scale, observe, and secure Java systems in production? A few tips and topics with accurate subskills that you need to mention if you need your resume to stand out: 1. Distributed Caching – mention Redis/Memcached 2. Monitoring & Observability – most popular ones are Splunk, Dynatrace, Grafana, ELK 3. Messaging – list one among Kafka, JMS or RabbitMQ 4. Testing – most popular frameworks/methods are TDD, Mockito, JUnit 5. CI/CD & Containers – devops skills like Jenkins, GitHub Actions, Docker, Kubernetes make your profile distinct 6. Frameworks – no prize for guessing: Spring Boot, Spring MVC, Apache Camel 7. Microservices Internals – try to mention one or two at least from Config Server, API Gateway, Service Discovery, Resilience4j 8. Multithreading & Concurrency – do not skip, mention a few of Executors, ForkJoin, CompletableFuture 9. Security – most used and popular ones are Spring Security, OAuth2, JWT 10. Persistence – you should have been using Hibernate, JPA or MyBatis so put one 11. API Development – basics of APIs: REST, Swagger, OpenAPI 12. Reactive Programming – your resume shines with words like WebFlux, Reactor or RxJava 13. Build Tools – mention Maven/Gradle 14. Code Quality – mentioning SonarQube, PMD, Checkstyle shows you care about quality 15. Cloud – shouldn't miss one from AWS, GCP, Azure 16. Java Versions – list a few Java 8 to 21 features you used 17. Design Principles – foundations of large codebase: SOLID, Design Patterns, Clean Architecture If you are targeting Senior, Staff, or Lead roles: - Focus on impact, not buzzwords - Show production ownership - Highlight architecture and reliability thinking Good luck

Working on problems is the best way to learn machine learning. Here are 10 projects to start your journey: ↓

Free Online Course on Python Programming by Harvard University Harvard University Application Deadline: Self-Paced

This question is about linear regression. But keep in mind you need to know linear regression well to answer it correctly! It may be tricky. Give it a try: bnomial.com

To follow up, left-to-right order in a list comp matches the top-down order of the nested for loops and if statements. The only thing that goes in a different place is the final `.append`; that goes in the very beginning.

Data Analysis Mini-Tutorial Understanding the distribution of your data is usually a crucial step in the data analysis process. Having normally distributed (bell-shaped) data makes it a lot easier for most machine learning algorithms to detect patterns.

6/6) Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps amzn.to/383HeVa

🐙 ML Notebooks (~800⭐️) We've added new ML and NLP notebook tutorials. Some are also available through Kaggle. Hope you find them useful. github.com/dair-ai/ML-Notebo…

ML YouTube Courses (5.1K⭐️) I've added more info and categories to the repo, so it's much easier to find relevant courses. github.com/dair-ai/ML-YouTub…

Bound methods in #Python can be saved and used later. They remember the object they were from:

Do you use Python 🐍? I often like to suggest people get acquainted with the function `itertools.product`. Handy, for example, to flatten 2 or more nested `for` loops.

What tools do you use when documenting your code? I have used ReStructuredText, Markdown, Sphinx, SublimeText, Grammarly and more!

In Python, below quick operands can be used for different operations. | for union. & for intersection. – for difference ^ for symmetric difference

>>> names={"Brain","Pinky","Mike","Dot"} >>> other={"Brain","Yakko","Wakko","Rita"} >>> names|other {'Yakko', 'Pinky', 'Brain', 'Mike', 'Dot', 'Rita', 'Wakko'} >>> (names|other) -(names ^other) {'Brain'}

I have always liked the ability to add functions as values in #Python dictionaries. This allows you to make complex conditionals much simpler by calling the dictionary based on the key that is passed in. Here is an example that uses lambdas, but you can swap functions in too!

Python Coding Cheat-Sheet: hubs.la/Q014RKLh0

The entire Python Data Science Handbook in the form of free Jupyter notebooks! oreilly.com/library/view/pyt… github.com/jakevdp/PythonDat…

Only one more week to go and I'll be finished covering most of the 75 built-in functions of #Python here on Twitter. I hope you've enjoyed the series so far and that you'll stick around for the rest! 🐍🔥

BreakFastApi The most delicious API on the web. Just send a request and you'll receive the most mouth watering dish recipe with estimated cooking time and all the necessary ingredients and instructions. github.com/MariiaSizova/brea…

Introduction to #django #python