Python Guru Series ??????

Hello everyone, I'm Phan. A curious and dedicated developer.

Today, I would like to introduce you to the Python Guru Series. This is a place where I share stories related to Python, the language I use daily to develop applications.

A brief overview of Python

Python was created by Guido van Rossum, a Dutch programmer, in 1991 with the initial goal of creating a high-level programming language focused on simplicity, capable of increasing productivity and efficiency for programmers. As of the third quarter of 2024, based on statistics from the TIOBE index, a reputable ranking site for the popularity of programming languages, Python ranks first with over 16%.

When starting to learn a new language, an important thing to do is to understand its strengths and limitations so you can flexibly apply it to solve your problems. My professor said "Programming is like solving the problems in life".

Here are the strengths of Python:

• Python is a versatile language (sounds like its name) with simple syntax that is easy to learn. Because of this advantage, you can quickly develop an application using Python.
• Python is famous for developing applications related to Data Science, AI, and Machine Learning because it has a large community and many supporting libraries.
• Python is also very suitable for developing web applications with popular frameworks like Django, Flask, and FastAPI.
• In addition, Python can be used to develop Game applications, Desktop applications for PCs, etc.

Besides its strengths, Python also has some limitations:

• Python is considered an interpreted language. Therefore, it might not be a good choice for speed at runtime for CPU-bound tasks compared to compiled languages like C, C++.
• Python is a dynamically typed language. This means there will be many bugs that you can only detect at runtime, often unexpected exceptions.
• Python is a single-threaded language. Due to the limitation of the Global Interpreter Lock (GIL), it only allows one thread to run tasks at a time in a Python program. Thus, leveraging the power of multi-threading and parallel programming in Python can be quite challenging, especially in the context of modern computers that have increasingly advanced processors with multi-threads and multi-cores.

The above are some of my summaries about the Python language. To me, every language has its beauty. Despite its inherent drawbacks, Python remains popular with a proven development history. Particularly in the context of the explosion of Big Data and AI technologies, Python is still a preferred choice.

Thank you for your time.

Stay tuned for the next articles in my Python Guru Series.