What is python? Definition & history
Guido Rossum designed Python in 1989 as an object-oriented programming language. It’s perfect for quick prototyping of complicated applications. It may be extended to C or C++ and offers interfaces to numerous OS system functions and libraries.
By the year 2000, Python has sophisticated capabilities such as list comprehensions and garbage collection systems with reference counting.
What python used for?
Let’s take a look at some of Python’s most common applications:
Python is used for scientific research and computing because it has a list of science-friendly and science-specific libraries.
Python packages such as Panda and Numpy aid in the extraction of information from data.Also, Matplotlib and Seaborn are data visualization libraries that aid in the display of data, such as graph charting.
Pre-built libraries and frameworks, such as Pyramid, Django, and Flask, are available in Python, allowing web applications to be produced quickly.
ML has applications such as Netflix or Amazon recommendation systems, as well as speed recognition. Python is essential for ML libraries and frameworks such as Sci-kit Learn, TensorFlow, and others.
Python is often regarded as one of the most effective languages for organizing and cleaning data. Python also makes data analysis easier by using frameworks and algorithms. NumPy, SciPy, Sci-kit Learn, and Dask are some of the most popular data mining frameworks.
Python may be used to create interactive games since it has capabilities and tools for game creation. The following Python packages and frameworks are useful for game development: Arcade, Blender, Panda3D, PyOpenGl .
features of python
- Easy to Learn and Use.
- Cross-platform Language.
- Free and Open Source.
- Support for Graphical User interfaces Programming.
- It is a Extensible language.
- Python is a high-level language.
- Object-Oriented Language.
- Dynamically Typed Language.
- Large Standard Library.
- Python is Portable language.
disadvantages of python
- Python has limitations with database access .
- Python is slower than C or C++.
- Python is not a suitable choice for activities that require a lot of memory.
- Python isn’t a great language for creating mobile apps.
- Runtime Errors sometimes.