Java and Python Programming Course in Chennai

Java uses an automatic garbage collector to manage memory, freeing unused objects, while Python also uses garbage collection plus reference counting to clean up unused memory automatically.

Both languages handle errors using blocks—try-catch in Java and try-except in Python. Java requires explicit exception declarations for checked exceptions, while Python handles exceptions more flexibly without needing declarations.

Both Java and Python support OOP concepts like classes, objects, inheritance, and polymorphism. Java enforces strict class-based design, while Python supports both class-based and prototype-based styles.

Java uses tools like Maven or Gradle to manage packages and dependencies. Python uses pip and virtual environments to install and isolate packages for different projects.

Java is often used in large-scale enterprise applications and Android apps due to its speed and scalability. Python is preferred for quick development, data science, scripting, and automation.

Java provides built-in thread support with synchronized blocks and thread pools. Python has threading but is limited by the Global Interpreter Lock (GIL), which can restrict true parallel thread execution.

In Java, file reading is done with classes such as FileReader and BufferedReader, while FileWriter is used for writing files. Python has simple built-in functions like open(), read(), and write() that make file handling easy.

Both languages allow the use of lambda functions to create concise, anonymous functions. Java introduced lambdas in Java 8 mainly for functional programming, while Python has had lambdas as part of its core syntax for a long time.

Java uses static typing, so variables must be declared with a type before use. Python uses dynamic typing, allowing variables to change types during runtime, which makes coding faster but less strict.