Python is a great programming language that is easy to learn and master, making it possible for people to shift their careers into programming. VisionX is one of those organizations that has adapted Python for AI and Machine learning coding purposes, and its natural English language coding makes it easy to understand, even to people without coding knowledge. However, every programming language has certain pros and cons, and in this blog, we will discuss some of the most highlighted pros and cons of python as a coding language.
Pros
The simple design philosophy by python makes code clear and understandable, which is why it is actively used for coding and programming these days. The simple use of indentation and logical codes that are easily readable not only makes it easy to write, but also easy to understand by other programmers. Python can be deployed for large and small scale projects and is widely used to automate processes, developing websites, conducting data analysis, developing software, etc.
Easy to learn and use
Python for web development is among the easiest coding and programming languages, due to its use of simple syntax and language. This makes the language easy to learn and use. Compared to other programming languages, Python uses common English language syntax that is usually used by everyday life. Therefore, even people without extensive programming training and knowledge can learn coding in later stages of life.
Data Representation and visualization
In today’s age, data visualization and representation plays a vital role for businesses, especially in Web application development. Python makes it easier and efficient to visually display data using a variety of formats for added convenience.
Readable Code
Programming and Web application development often goes through multiple stages, often needing upgrades and updates over time. With complex syntaxes such as in Java, it becomes difficult for developers to read and understand the code, causing delays in the task. However, due to ease of understanding and readability in Python, different programmers can understand the nature and functions of the syntax, making it easier to update and upgrade the code. The readability aspect also comes in handy when it comes to finding errors in the code and detecting nonfunctional syntaxes in the code during the quality assurance (QA) review process, reducing the QA and fixing the code.
Cross Synchronization
Python for web development has numerous benefits that can help in cross synchronization with other platforms and languages. The Cpython is a version of python that is compatible with C# and .Net languages. This makes it quite easier to embed different functions and processes using other languages. Cross synchronization function in Python allows developers to use different snippets from other coding processes to work seamlessly in a python coded program. This allows developers to leverage and optimize functionality of a program without needing to write codes from scratch.
Asynchronous codes
One of the best features about python when it comes to web application development is its ability to run each code separately, which enhances code functionality and reliability on the language. Writing codes and creating a software requires tireless efforts and detailed planning. Even with the best planning and software architecture, human error is a contingency that cannot be overruled. If a specific code has certain errors, it would usually result in the code from executing entirely, which can be a very stressful for developers and project managers running on a tight schedule. Thankfully, python makes life easier with its asynchronous code. With its ability to run each code independently, an error in one code does not disrupt the functions of the entire code, but rather only the code itself. This helps developers on two accounts;
- It makes it easier to identify the problem area, instead of reviewing the entire code, which saves a lot of time and effort, while making it easier to fix the problem quickly.
- Secondly, since the overall functionality is not disrupted, other services and code will continue to execute. This is immensely beneficial for businesses, especially when it comes to their business applications. For example, if a business is experiencing code errors with its website, it can continue to keep the website live while fixing the minor coding error and updating the section to restore overall functionality.
Cons
Just like any other coding and programming language, python has its fair share of limitation and challenges for the software development world. Here are some of the most common issues faced by developers that use python.
Speed
Python is an interpreted programming and coding language, which makes it slower in terms of speed and performance compared to other coding languages. Therefore, for web application development that is intended to handle a large volume of processes in a short period, python is often the least preferred option.
Thread Limitation
One of the biggest draw backs of python for web development is its limited thread processing. Python programming can only process one thread at a time and does not support batch processing or executing multiple threads simultaneously. This makes it highly inconvenient for complex programs that need to perform multiple tasks.
Restricted Technology shift
Despite python being highly compatible with other languages due to its natural language coding system, it does not facilitate programmers when it comes to shifting technology to other languages. For example, a program made using python language would not be scalable if it needs to shift to Java or .Net. This means that in an event a software does need to shift towards a different programming language, it would need to be rewritten using a different code.
Conclusion
Conclusively, python is a language that is easy to learn, write, and understand. The use of English Language logic into coding has made it easier for people to step in to programming. Python is a highly reliable language that makes coding efficient and quick. It is great for data visualization, primarily for big data analysis. However, python has certain cons, which makes the language unreliable for complex projects.
