Give a substantive comment on this post: Python is a high-level, interpreted, general-purpose dynamic programming language focusing on code readability. Professional programmers and developers largely use it across a variety of fields, including Web Development and Machine Learning. Python, too has its own set of pros and cons. There are many benefits of using Python to render solutions for non-technical audiences It allows the creation of solutions quickly and facilitates easily readable code. The syntax of Python is simple, clean, easy to understand, and closely resembles the everyday English we speak. Python is simple, straightforward, free, and affordable. Strength and validity of Phyton: 1. Easy-to-learn and Easy-to-use Python programming language has a syntax similar to the English language, making it extremely easy and simple for anyone to read and understand its codes. 2. Interpreted Language Python, an interpreted language, can execute the code directly, one line after another. Moreover, if there is any error, then rather than continuing with further execution, it reports the error that occurred. 3. Massive Libraries Python's standard library is vast, and herein, you can find all the necessary functions you require for any given task. This makes Python independent of external libraries 4. Open-source Python has an open-source license and is available for users for free, allowing you to distribute it easily. With Python, you can download any source code and further modify and distribute your version of the code in Python. Disadvantages of Python : 1. Low Speed Strengths can, unfortunately, lead to some weaknesses at times. Here is such a case. Yes, Python is a dynamically-typed and interpreted language, but the code is executed line-by-line, leading to its slow execution. 2. Difficult-to-interact Database Layer It is significantly stress-free and easy to code a program using Python, but Python lags behind when interacting with the database. 3. Inefficient Memory Consumption Python needs to make some tradeoffs. This language uses a huge amount of memory, which is a disadvantage. Reference Dubois, P. F., Hinsen, K., & Hugunin, J. (1996). Numerical python. Computers in Physics, 10(3), 262-267. Sanner, M. F. (1999). Python: a programming language for software integration and development. J Mol Graph Model, 17(1), 57-61. Van Rossum, G., & Drake Jr, F. L. (2014). The python language reference. Python Software Foundation: Wilmington, DE, USA