Python libraries for data science
Python libraries for data science Python is more prevalent among data scientists due to its embedded characteristics. Although a dozen programming languages are available for data analysis, data mining, and machine learning, Python possesses a special place in the field which ranked as the number 1 programming language in the TIOBE index for data scientists in 2023. Python is a high-level, interpreted programming language known for its simplicity, readability, and versatility. It was created by Guido van Rossum and released in 1991. Key Features of Python: 1. Readability: Python's syntax emphasises code readability and uses indentation to define code blocks rather than relying on braces or keywords. 2. Easy to Learn: Python's codes are described as "executable pseudocode" due to their resemblance to natural language. 3. Versatility: Python can be used in many applications, including machine learning, artificial intelligence, web development, scientific computing...