Not suitable for Mobile and Game Development Python is mostly used in desktop and web server-side development. It is not considered ideal for mobile app development and game development due to the consumption of more memory and its slow processing speed while compared to other programming languages.
Some of the disadvantages of Python include its slow speed and heavy memory usage. It also lacks support for mobile environments, database access, and multi-threading. However, it is a good choice for rapid prototyping, and is widely used in data science, machine learning, and server-side web development.
After the high memory usage, its lack of speed is one of the biggest drawbacks of Python. Python is not a good choice for tasks where the user wants to optimize memory, i.e., a memory-intensive language. It is not memory efficient and it has slow processing power as compared to other languages.
Because the language is dynamically typed , it requires more testing and has errors that only show up at runtime. Python is not suitable for low level programming. When you are dealing with low level programming e.g. System programming, OS Development, Kernel, Embedded systems ; you need something like NASM , C, C++.
Python has a slow speed of execution , mainly due to it being an interpreted language and this is a major weakness of this programming language when used for large scale data analysis.
AI infrastructure company, Modular AI, recently unveiled Mojo, a new programming language that combines the syntax of Python along with the portability and speed of C, making it ideal for both research and production.
As opposed to other programming languages like C++ and Java, Python is significantly more efficient, which is the main factor in its popularity.
According to experts, the reasons why Python is so slow are because it is s Global Interpreter (LockGIL), it isn't a compiled language (Interpreted language), and Python is a programming language that is dynamically typed. Python is widely regarded as lightning fast compared to other programming languages.
No, Python isn't hard to learn for most people. In fact, Python is considered one of the easiest programming languages to learn. While anyone can learn Python programming — even if you've never written a line of Python code before — you should expect that it will take time, and you should expect moments of frustration.
The biggest challenge in adopting Python for enterprise programming is lack of a commercial support point. There are many programming languages such as C++ which are considered faster than Python.
Java is generally faster and more efficient than Python because it is a compiled language. As an interpreted language, Python has simpler, more concise syntax than Java. It can perform the same function as Java in fewer lines of code.
This term comes from the saying “If it walks like a duck, and it quacks like a duck, then it must be a duck.” (There are other variations). Duck typing is a concept related to dynamic typing, where the type or the class of an object is less important than the methods it defines.
Like any programming language, Python is only as secure as the code that is written in it. Properly written Python code can be secure, but code that is not written securely can leave your application vulnerable to security risks.
The dynamically typed nature of Python makes it vulnerable to runtime errors. Tasks that require heavy memory suffer from Python. The flexible data-types in Python contribute towards its high memory consumption.
Python is both a strongly typed and a dynamically typed language. Strong typing means that variables do have a type and that the type matters when performing operations on a variable. Dynamic typing means that the type of the variable is determined only during runtime.
Ease of development – Python has fewer keywords and more free English language syntax whereas C is more difficult to write. Hence, if you want an easy development process go for Python. Performance – Python is slower than C as it takes significant CPU time for interpretation. So, speed-wise C is a better option.
Is it worth learning Python in 2022? The python programming language has been gaining popularity in recent years, and a lot of developers are looking to learn it. It's safe to say that python will continue to be popular in 2022, but with any tool or language, it's difficult to say if it will die out or become obsolete.
Performance. Performance is a major reason why Rust is overtaken Python. There is no virtual machine or interpreter between your code and the computer since Rust is compiled directly into machine code. Another significant advantage of Rust over Python is its thread and memory management.
From January 2020, Python 2 is entering its phase-out stage known as “End of Life” status.
Python is easy to learn
But Python is different. More so than nearly any other programming language, Python reads and writes very similarly to standard English. It uses a simplified syntax with an emphasis on natural language, for a much easier learning curve for beginners.