Scripting vs Programming Languages: What's the Difference

Java language support is now live on our distributed systems learning platform. You can now practice building real distributed systems in 6 programming languages: Python, Go, Rust, C++, TypeScript, and Java. The platform includes 75+ hands-on tasks where you actually write and execute  code to learn concepts like:  - Message passing and gossip protocols  - Leader election and consensus  - Data sharding and load balancing  - Distributed databases and queues No multiple choice questions. Just real coding practice. Get started free at builddistributedsystem.com I'm actively improving this platform. If you find bugs or want specific languages/features added, please let me know in the comments. Your feedback directly influences what I build next. #DistributedSystems #Java #Programming #LearnToCode #HandsOnLearning #TechEducation #SoftwareEngineering #FeatureRequest

Tried something interesting today 👇 Used Python to compile and run a Java program automatically using subprocess. Instead of manually running commands like javac and java, Python handles everything in one script. Small experiment, but shows how powerful scripting can be for automating workflows. As this experiment was succesfull so it will be great in creating a full-fledged agent using Python, JAVA and want to build it in Linux. Sayantan Das #python #java #programming #developer #automation #linkedin

Day 50 Designing Data-Intensive Applications by Martin Kleppmann Chapter 4 Encoding and Evaluation Thrift and protocol buffer rely on code generation: after a schema is defined, you can generate code that implements this schema in programming language. Useful in statistical typed language such as Java, C#, C++, because it allows efficient in -memory structures to be used for decoded data, and it allows type checking and autocompletion in IDEs when writing programs that access data structures. In dynamically typed programming languages such as JavaScript, Ruby or Python, there is no compile type checker. Avro provides optional code generation for statistically programmed languages. but it can be used just as well without any code generation.

Synchronous vs Asynchronous Programming in Python In backend development, understanding the difference between synchronous and asynchronous programming is essential for building efficient systems. Synchronous code executes tasks one at a time, meaning each operation must complete before the next one begins. While this approach is simple and easy to understand, it can become inefficient when dealing with operations that take time, such as network requests or database queries. Asynchronous programming allows multiple operations to run concurrently without blocking the execution of other tasks. In Python, frameworks like FastAPI take advantage of asynchronous features using async and await keywords. This allows servers to handle multiple requests at the same time, improving performance and responsiveness. Choosing between synchronous and asynchronous approaches depends on the use case. For simple applications, synchronous code may be sufficient. However, for high-performance APIs or systems handling many concurrent users, asynchronous programming becomes essential. Developers who understand both approaches can design systems that are both efficient and scalable. Question for discussion: Have you worked with asynchronous programming in Python, and what challenges did you face? #PythonDeveloper #BackendDevelopment #AsyncProgramming #FastAPI #SoftwareEngineering

Every programmer should master these fundamental programming constructs! Whether you are learning Java or any other programming language, these building blocks are essential: Variables and Data Types - Containers for storing data with defined types (int, float, string, etc.) Operators - Arithmetic, comparison, and logical operators for performing operations on data Functions - Reusable blocks of code that perform specific tasks, making code modular and maintainable Exception Handling - Managing errors that may occur during runtime to prevent crashes Arrays/Lists - Collections of elements for organizing and managing multiple values Dictionaries/Objects - Collections of key-value pairs for structured data storage Control Structures - Conditional statements and loops for making decisions and repeating code blocks Classes and Objects (OOP) - Encapsulation, inheritance, polymorphism, and abstraction for building scalable applications Why This Matters: These constructs are the foundation of every program you will ever write. Master them, and you can learn any programming language. Which of these concepts did you find most challenging when you were learning? Drop your thoughts below! #Java #Programming #SoftwareDevelopment #BackendDevelopment #Coding #LearningInPublic

Strengthening Core Programming Skills in Java I recently worked on a comprehensive set of Java programs covering **fundamental problem-solving and mathematical computations**, aimed at building a strong programming foundation. Key areas covered: • Basic arithmetic operations (sum of integers, floats) • Mathematical computations: Factorial, power, square root Prime number checking • Geometry-based calculations: Area (circle, triangle, rectangle, square, rhombus, trapezoid, parallelogram, polygon) Perimeter and volume (cylinder, sphere) • Financial calculations: Simple and compound interest • Data handling: Average of numbers and arrays • Temperature conversions (Celsius ↔ Fahrenheit) What I gained from this practice: • Improved logical thinking and step-by-step problem solving • Better understanding of core Java syntax and control structures • Ability to translate real-world problems into efficient programs • Stronger foundation for advanced topics like Data Structures and OOP This hands-on exercise reinforced the importance of mastering basics to build more complex and scalable applications in the future.Thanks to Global Quest Technologies I’m continuing to practice consistently and expand my knowledge in Java and software development. #Java #Programming #ProblemSolving #Coding #SoftwareDevelopment #LearningJourney

📆 Day 227 & 228 of 365 Days Focused on practicing DSA basics using Python along with continued Java practice. Worked on strengthening fundamentals like arrays, loops, and basic problem-solving patterns in Python, while also maintaining consistency with Java to improve logic and coding flow. These sessions were all about building a strong foundation across both languages and getting more comfortable with solving problems step by step. #Python #Java #DSA #ProblemSolving #CodingPractice #Developers #Programming #TechJourney #BuildInPublic #Learning #SoftwareEngineering

🎯Most Popular Programming Languages📚 From C to Python, and everything in between: Witness the evolution of programming languages over the past two decades in this mesmerizing bar chart. See which languages have risen to the top, which have fallen out of favor, and which newcomers are making their mark on the coding world. Whether you're a seasoned programmer or just starting out, this chart is a fascinating look at the ever-changing landscape of programming languages. Follow-Rohan Thombare for more. 📝Join me on telegram for Web development, Job alerts and DSA : - https://t.me/codingwizards 📢All credit goes to the respected author 700💯 #programming #coding #developercommunity #developerlife #gamedevelopment #python #javascript #java #clanguage

Claude Code speaks fluent Python, JavaScript, SQL, and 50 other programming languages. Your dev speaks 2. Maybe 3. Different parts of a software project often need different programming languages. Your website might be built in one language, your database uses another, your automation scripts use a third. Most developers are really strong in a few languages and shakier in others. Claude Code is fluent across all of them, which means your developer can get expert-level help even in the languages they’re less comfortable with. No more “I don’t really know that language” roadblocks. KISS METHOD 💋 💋 Keep it super simple

💻 Python vs Java — Which One Should You Learn First? 🤔 Choosing the right programming language can be confusing, especially for beginners. So I created a simple carousel to compare Python 🐍 and Java ☕ — covering ease of use, performance, and real-world applications. 📌 Swipe through to see which one fits your goal best! 💬 Which one would you choose — Python or Java? #Python #Java #Coding #Programming #Tech #Developer #Learning #CareerGrowth