Practicing MySQL with Java and Python Database Connectivity

Zero-copy data sharing between Python, Java, C++ without serialization overhead. That's Apache Arrow. Arrow is not a file format. It's an in-memory columnar format. The Arrow ecosystem: Arrow: language-agnostic in-memory columnar format. Arrow Flight: high-performance RPC over gRPC. No more JSON/CSV serialization tax. Flight SQL: send and execute SQL queries over Flight. ADBC: standardized API for Arrow-native database interactions. DuckDB, Polars, DataFusion, Spark - they all use Arrow under the hood. If you're building anything that moves data between processes, Arrow is the standard to know. https://lnkd.in/dfXtSSwN

📅 Day 5 — SQL Constraints Today I learned about Constraints in SQL, which help maintain data accuracy and integrity. CONSTRAINTS ✅NOTNULL : Ensures that a column cannot have NULL (empty) values. ✅UNIQUE : Ensures all values in a column are different. ✅PRIMARY KEY : Uniquely identifies each record (combination of NOT NULL + UNIQUE). ✅FOREIGN KEY : Links one table to another using a common column. ✅CHECK : Ensures values meet a specific condition. ✅DEFAULT : Assigns a default value if no value is provide. #Constraints #PrimaryKey #ForegniKey #javafullStack #100DaysOfCode #Learninginpublic #Java #Databasedesign #Programming #Linkedinlearning

https://lnkd.in/dBh2c7G3 << ...Fahmatrix is a lightweight, modern Java library for working with tabular data, inspired by Python's Pandas and rooted in the idea of making data understanding (fahm) easy on the JVM... >>

🚀 Day 53 – Mastering ArrayDeque in Java Today I explored one of the most efficient data structures in Java Collections – ArrayDeque 🔥 📌 Key Learnings: 🔹 ArrayDeque is a resizable array-based Deque (Double Ended Queue) 🔹 Supports insertion & deletion from both ends (front & rear) 🔹 No indexing → cannot use get/set methods 🔹 No null values allowed (throws runtime exception) 🔹 Duplicates & heterogeneous data allowed 🔹 Faster than LinkedList due to no memory overhead ⚙️ Traversal Techniques: ✔ For-each loop ✔ Iterator ✔ Descending Iterator (reverse traversal) 💡 Why ArrayDeque? 👉 O(1) performance for add/remove operations 👉 Best choice for implementing: Stack (LIFO) Queue (FIFO) Deque 🧠 Big Takeaway: ArrayDeque = Fast + Memory Efficient + Flexible (Stack/Queue/Deque in one) Consistency is the key 🔑 — learning something new every day! #Java #DataStructures #ArrayDeque #JavaCollections #CodingJourney #100DaysOfCode #LearningDaily

Switched from Java to Python for DSA practice. First thing that broke my code? The modulo operator. Not because I didn't know how it works — but because it works differently depending on the language, and I had no idea. In Java/C++, % follows the sign of the dividend: -7 % 3 → -1 In Python, % follows the sign of the divisor: -7 % 3 → 2 I was solving a prefix sum problem. Logic was right, approach was right, wrong answers. Took me embarrassingly long to find it. Once I did, I started noticing more: → Division: Java's 7/2 = 3 (integer). Python's 7/2 = 3.5 (decimal). Use // for integer division. → Floor vs truncate: Java truncates toward zero. Python floors toward negative infinity. -7 // 2 → Java: -3 | Python: -4 Same symbols. Different contracts. No errors thrown. Fewer lines of code. More silent assumptions waiting to bite you. #Python #Java #DSA #LearningInPublic #CompetitiveProgramming

Modernizing legacy doesn’t mean replacing it. It means making it work smarter. This white paper explores how Python transforms Sybase ASE operations, reducing manual effort, improving visibility, and enabling scalable, resilient database management. From repetitive tasks to intelligent workflows, the shift is real. Read the full white paper and rethink how you run ASE: https://lnkd.in/dszBkh34 Authors: Vertika Anand, Chetan Rao   #Sybase #Python #DatabaseAutomation #DevOps #DataEngineering #ITModernization

Did you know Spring Data JPA can generate SQL queries just from method names? 😳 In this video, I explain how this method: findFirstByStatusOrderByTokenNumberAsc() automatically generates: SELECT * FROM token_queue  WHERE status = 'WAITING'  ORDER BY token_number ASC  LIMIT 1; This is used to fetch the next available token in a queue system. Full explanation available in TamilKadal YouTube channel   Link in the first comments section #SpringBoot #Java #JPA #Hibernate #BackendDevelopment #Programming #Coding #Developer #SoftwareEngineering #Tech #JavaDeveloper #LearnCoding

In this lecture, we begin our SQL journey by introducing PostgreSQL, pgAdmin, and the fundamentals of SQL in the context of a Python and SQL course. You’ll learn what databases are, how relational databases work, why PostgreSQL is widely used in data and backend workflows, and how pgAdmin helps you interact with your database through a graphical interface. We also walk through the core SQL concepts every beginner needs: creating a database, creating a table, inserting data, and querying data with SELECT, WHERE, and ORDER BY. This lecture is designed for beginners who want a practical, structured introduction before moving into Python and SQL integration. What you’ll learn: What a database and DBMS are What PostgreSQL is and why it matters How pgAdmin is used to manage PostgreSQL databases What SQL is and how it is used How to create a database and a table How to run basic SQL queries with SELECT, WHERE, and ORDER BY https://lnkd.in/gihAUFki

🚨 Faced an interesting SQL issue recently while working with AWS Batch and Python. Queries started taking longer, and parallel jobs were getting blocked — turned out to be due to a small setting: autocommit = false in pymssql. Wrote a quick blog on how this caused table locking and how we fixed it 👇 https://lnkd.in/d2YTE7aP Would love to hear if anyone faced something similar! hashtag #SQLServer hashtag #Python hashtag #LearningInPublic

MYSQL CONNECTOR IN PYTHON Databases are a fundamental part of modern programming, especially when building applications with Python. In this video, we explore how Python connects to databases using the mysql.connector module, which allows developers to interact with MySQL databases efficiently. This connection enables Python programs to store, retrieve, and manage data in a structured and reliable way. Using mysql.connector, developers can execute SQL queries directly from Python, making it possible to create tables, insert records, update information, and fetch data as needed. This is particularly important for applications such as websites, school systems, banking platforms, and inventory systems, where data must be stored permanently and accessed quickly. The integration of Python with MySQL also improves data organization and security, ensuring that large amounts of information can be handled without loss or confusion. Overall, databases combined with Python provide a powerful toolset for building scalable and real-world applications, making them an essential skill for any programmer. #Python #Databases #MySQL #MySQLConnector #Programming #Coding #SoftwareDevelopment #TechEducation #LearnPython #DatabaseManagement #SQL #Developers #CodingLife #TechSkills #BackendDevelopment #DataManagement #ProgrammingBasics #ICT #STEM #FutureTech