This week, while exploring some articles, I found one that really caught my attention: Happy Patel’s article titled, “Why Python Is So Popular Even Though It’s Super Slow.” Patel’s post dives into Python’s popularity in the programming world, even though it’s known for being slower than other languages. After a quick look into Patel’s background, I found that he’s a knowledgeable voice in tech, sharing insights into why developers choose Python despite its limitations. His article offers a well rounded look at the unique benefits of Python, such as its simplicity, versatility, and productivity, which contribute to its wide usage in various fields like web development, data science, and automation.
Patel kicks things off by breaking down why Python is generally considered “slow.” For instance, he mentions that Python’s code is interpreted rather than compiled, which can make it lag behind other languages in execution speed. Another reason for this lag is Python’s Global Interpreter Lock (GIL), which only allows one thread to execute at a time within a process. Although these details may seem like drawbacks, Patel points out that these traits also make Python flexible and user-friendly. Its high level syntax closely mirrors human thought, allowing developers to think more about problem-solving than strict coding rules. Patel sums it up well by explaining that Python essentially lets computers handle the heavy lifting, letting humans focus on creative coding.
Then, Patel goes on to highlight the reasons for Python’s enduring popularity, despite the speed limitations. One key factor he points out is that Python’s simplicity and readability make it incredibly productive. Development cycles are often much shorter, which can be a huge plus for companies where employee time is one of the most valuable resources. He argues that for many businesses, development speed and efficiency matter more than code execution speed. Patel also emphasizes that Python’s scaling capabilities, like horizontal scaling, let developers manage performance limitations, making Python adaptable for many real-world applications.
I chose this article because it not only aligns with our course material but also sheds light on Python’s “personality” in the coding world. I liked Patel’s casual and practical tone it’s informative without being overly technical. His points gave me a new perspective on how Python’s user-friendliness outweighs its slower speed, especially in environments where development time is critical. Patel’s discussion encouraged me to think about how Python’s design might be useful in my own coding projects, as it shows how the language’s efficiency and adaptability make it great for rapid prototyping.
Reading this article reinforced why Python is considered beginner friendly and why its productivity makes it so popular across industries. I’m excited to apply what I’ve learned, especially Python’s fast development approach, in future projects where flexibility and quick prototyping will be valuable. Patel’s article makes a strong case for why Python is more than just “slow” it’s practical, versatile, and adaptable, which are all reasons I’d recommend Python to anyone entering the programming field.
Link to the post: https://medium.com/@innvonixtechsolutions/why-python-is-so-popular-even-though-its-super-slow-cedfa2b8fe68
From the blog CS@Worcester – Harley Philippe's Tech Journal by Harley Philippe and used with permission of the author. All other rights reserved by the author.