Python is a popular high-level, interpreted programming language known for its readability and ease of use. Python was invented by Guido Van Rossum and it was first released in February, 1991. The name python is inspired from Monte Python Flying Circus, since circus features numerous powerful acts with simplicity which is also a key feature of python. 

Python is a known for its simplicity so Very easy for A newbie to start and learn it in no time. These are some features and highlights of it which i have listed here:-

1. Simple and Readable Syntax: Python’s code is known for being clear and concise, resembling natural language. This makes it easier to learn and understand, even for beginners with no prior programming experience. For some it may feel like reading Instructions in Simple English.
2. Interpreted and Interactive: Python code is executed line by line by the Python interpreter, allowing for quick development and testing through interactive shells. {Python is an interpreted language, which means that each line of Python code is executed one at a time by the Python interpreter. Unlike compiled languages like C or C++, where source code is translated into machine code before execution, Python source code is directly translated into intermediate bytecode instructions by the Python interpreter. This bytecode is then executed by the Python virtual machine (PVM). This interpretation process allows for greater flexibility and portability, as Python code can run on any platform with a compatible Python interpreter without the need for recompilation}. {Python provides an interactive mode, often referred to as the Python shell or REPL (Read-Eval-Print Loop). In this mode, users can enter Python commands one at a time, and the interpreter executes them immediately, displaying the results. This interactive mode allows for rapid prototyping, experimentation, and testing of code snippets without the need to write a complete script or program. It’s particularly useful for learning Python, debugging code}.
3. High-level Language: Python abstracts many complex programming tasks, allowing developers to focus on solving problems rather than dealing with low-level details.
4. Dynamic Typing: Python uses dynamic typing, meaning you don’t need to declare variable types explicitly. Variables can hold values of any type, and their type can change dynamically during execution.
5. Automatic Memory Management: Python uses garbage collection to automatically handle memory allocation and deallocation, relieving developers from managing memory manually.
6. Extensive Standard Library: Python comes with a rich set of modules and libraries for tasks such as file I/O, networking, mathematics, and more, making it suitable for a wide range of applications.
7. Cross-platform: Python code can run on various operating systems, including Windows, macOS, and Linux, with minimal or no modifications.
8. Object-Oriented: Python supports object-oriented programming (OOP) paradigms, allowing developers to create reusable and modular code through classes and objects.
9. Functional Programming Constructs: Python supports functional programming concepts like lambda functions, map, reduce, and filter, enabling developers to write clean and concise code.
10. Dynamically Typed: Python is dynamically typed, meaning variable types are determined at runtime, enhancing flexibility and allowing for rapid prototyping.
11. Community and Ecosystem: Python has a large and active community of developers who contribute libraries, frameworks, and tools, fostering innovation and providing solutions for various domains.
12. Readability and Maintainability: Python’s syntax emphasizes code readability, with clear and expressive code structures, making it easier to write and maintain large-scale projects.
13. Versatility: Python is versatile and can be used for various types of programming tasks, including web development, data analysis, artificial intelligence, scientific computing, automation, and more.
14. Integration Capabilities: Python easily integrates with other languages and platforms, allowing developers to leverage existing codebases and infrastructure.
15. Free and Open-Source: Using Python is completely free, and its open-source nature allows anyone to contribute to its development and libraries.

Some Not So Good Points of Python:-

• Speed: Python is often slower than compiled languages like C++ or Java. This is because Python code is interpreted line by line at runtime, whereas compiled languages are translated into machine code beforehand. If speed is critical for your application, Python might not be the best fit.
• Memory Usage: Python can be less memory-efficient compared to some other languages. This is due to its dynamic typing system and garbage collection mechanism. If you’re working with large datasets or memory-constrained environments, this could be a concern.
• Mobile Development: While there are frameworks for mobile development with Python, it’s generally not the preferred language. Native languages or frameworks like Kotlin for Android or Swift for iOS tend to be more optimized for mobile app performance.
• Strict Indentation: Python relies on indentation to define code blocks, unlike languages using curly braces. While this promotes readability, it can also be a source of errors if not careful with whitespace.
• Global Interpreter Lock (GIL): The GIL is a mechanism in Python that prevents multiple threads from executing Python bytecode at the same time. This can limit performance in multi-core or multi-processor environments where true parallel processing might be beneficial.

Examples:-

1.Dynamic Typing-

def firehim():
if x>5:
return 34
print(x)
else:
return “war”

x=2
firehim()- Result in this case -war
x=6
firehim()- Result in this case- 34