1. Slow at Runtime

Python is significantly slower to run than other programming languages, such as Java, C++, PHP, JavaScript, Swift, and other languages. When creating large-scale applications that contain lots of lines of code, this is a primary concern for developers.

It’s not as connected in hardware to C and C++ because it is a high-level coding system. Instead of the compiler, Python code is executed through an interpreter, and the interpreter executes the code line-by-line and slows down the process.

Python is a dynamically typed programming system, and this means that it can perform various typical programming functions that static programming languages perform in runtime compilation.

There is no need to define variables’ data types when assigning variables to types that are dynamically generated. During execution, the variable’s format is allocated. This article can learn more about the difference between dynamically and statically typed languages.

Therefore, every time the variable is written, read, or mentioned, its type of data is confirmed and memory allocated accordingly.

2. Wrong selection for Mobile Application Development

Even though Python is a server-side programming language, it’s not the best choice for creating mobile apps. Python was generally incompatible when developing applications for Android or iOS applications. A lot of progress is being made to boost Python’s efficiency in mobile application development. Kivy and Beware are a pair of Python libraries that were developed to assist developers in creating mobile applications.

3. Difficulty in Using Other Languages

Many programmers do not like writing code in different programming languages, and it is because of the perception that other languages are more challenging to use. They may have a background in programming in Python, the most comfortable programming language.

If you’re a committed Python fan, you might be facing this issue. Pythonistas love Python because it is popular, well-known, and mighty. The main reason we love Python is that it is easy to use.

If you compare it with other programming languages such as C++ and Java, Python is straightforward to master. Python is closer to human languages, which is why we do not like specific different languages which are more connected to the hardware.

4. High Memory Consumption

Python isn’t the most suitable option for workloads that require a lot of memory. The memory usage of Python is primarily due to the flexibility of data types.

If objects are no longer within their scope, Python performs automatic garbage collection. Python strives to eliminate a large portion of the complexity in variable memory requirements that applications such as C or C++ require due to this function.

However, managing dynamic memory in large and long-running Python systems can be a challenge.

5. Not commonly used within the Business Development Sector

Python is a powerful programming language that has no worries for programmers and has caused quite a buzz in the market for large-scale web development. Despite its iniquitousness, Python has yet to be able to penetrate the corporate development market.

One of the primary reasons for this may be Python’s restrictions on database access. Compared with critical technologies like JDBC and ODBC and ODBC, Python’s database access layer is considered relatively primitive and untrained.

Therefore, it is seldom used in businesses that require seamless integration of detailed historical data.