Here’s another reason why people hate Python. And indeed, Python was not designed to be the fasted language in the world. An there’s also the Python GIL, which really is not such a big problem as people make it sound. In fact, Python as a language tends to choose well-readable, clean code above raw speed.
Why is Python so bad?
The following are some significant disadvantages of using Python. Python is an interpreted language, which means it works with an interpreter, not with a compiler. As a result, it executes relatively slower than C, C++, Java, and many other languages. Python’s structures demand more memory space.
Why do Java programmers hate Python?
Why do a lot of Java developers hate Python? – Quora. Well, let’s face it, many developers abhor the Off-side rule syntax. It’s a highly opinionated style of code formatting, and for many, it feels like a straightjacket. Also, the slightest accidental misalignment of code can cause an obscure and difficult-to-find bug.
What will replace Python?
Rust has huge potential to replace Python. With the current trend as a go-to programming language of choice in terms of application, performance, and speed, Rust isn’t just a programming language, it’s a way of thinking.
Is Python the future?
For future and present programmers, Python is becoming the first-choice language for learning it to get “actual jobs”. It is also being used for many purposes, from web development to mobile app development to data science. However, Data science is attracting the mob towards Python.
Why do senior developers not like Python?
Whitespace Sensitivity. Working with a programming language that will flag an error on grounds of misplaced and missing whitespaces might not be everyone’s cup of tea. These whitespaces are spaces, tabs, new lines, returns, or form feeds. Unlike C, for example, Python is indeed sensitive to whitespaces.
Should I learn Python or Julia?
Unless you have a particularly compelling reason to use Julia (something you know you can only do in Julia), you should just stick with Python. Julia is trying to be a language targeting for data science, but Python already has a firm footing in data science.
Why Python is not the future?
A Python script isn’t compiled first and then executed. Instead, it compiles every time you execute it, so any coding error manifests itself at runtime. This leads to poor performance, time consumption, and the need for a lot of tests.
Should I learn C++ or Python?
Python leads to one conclusion: Python is better for beginners in terms of its easy-to-read code and simple syntax. Additionally, Python is a good option for web development (backend), while C++ is not very popular in web development of any kind. Python is also a leading language for data analysis and machine learning.
Why is Julia better than Python?
Performance: Performance-wise, Julia vs Python takes a twist. Julia is a compiled language which means that programs written in Julia are directly executed as executable code. Therefore, Julia code is also universally executable with languages like Python, C, R, etc.
Is Python the next big thing?
Python has frameworks and tools for organizing data, visualization, data analytics, and much more. Data Science is enabling companies to leverage data and deliver better user experiences. Another thing that makes Python the next big thing is Artificial Intelligence.
What are the disadvantages of Python?
Disadvantages of Python
- Speed Limitations. We have seen that Python code is executed line by line. …
- Weak in Mobile Computing and Browsers. While it serves as an excellent server-side language, Python is much rarely seen on the client-side. …
- Design Restrictions. …
- Underdeveloped Database Access Layers. …