Python is a beginner-friendly programming language commonly used for web and application development in Data Science, AI
and Machine learning technologies.
There are several reasons why most data science developers prefer Python-
Python has a simple and easy-to-read syntax which makes Python more in-demand. It is easy to learn and easy to read that why most developers prefer it.
Python has a wide collection of libraries and frameworks including NumPy, pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, and PyTorch which makes it more popular and in-demand.
Python has a large active community of developers, programmers, and researchers who contribute to its ecosystem. That is one reason it has excellent documentation, numerous Python tutorials, and online resources
Python is a versatile language and has a wide range of applications beyond data science.
Python is an open-source platform, which means it's free to use. Due to this feature, it is widely used and accepted by beginners and pros.
For high-quality meaningful data, visualizationsPython has robust libraries like Matplotlib, Seaborn, and Plotly
Due to the increasing demand for AI-based applications Machine learning and Deep learning create new Python jobs in the market.
Python Libraries like scikit-learn, TensorFlow, and PyTorch are the most popular among Python practitioners around the world.
Python has libraries like Apache Spark and Dask, which are used for distributed data processing.
Python has great job opportunities for beginners and experienced. Most of companies prefer skilled Python developers.
Reference:
Advanced certification in Data Science
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