Pros and cons of Python: In Detail Description

Pros and cons of Python: In Detail Description

Anyone who wants to enter into the world of programming always thinks of Python. Why?

Python is one of the most popular languages across the globe for almost the last three decades.

Python is basically a high-level, general-purpose, and open-source programming language suitable for building web, desktop, and mobile apps.

Moreover, some of the leading companies globally rely on Python to develop apps, such as Netflix, NASA, Google, Microsoft, Nokia, etc.

Python language is simpler than other languages in the market, such as C/C++ and Java.

Besides all the advantages, Python has some disadvantages too. Before starting any project and approaching the best Python Development Company, it’s essential to check both pros and cons of Python.

By thoroughly going through the pros and cons of Python, you will be able to take complete advantage of the Python programming language.

Pros of Python

Versatile, Easy to Read, and Implement

Python is a high-level programming language with syntax similar to the English language that we use in daily life. Due to this, it’s easy to read and understand the code. Moreover, its syntax is useful for looking after complex systems and ensuring that all elements have a better relationship with each other.

It provides developers a varied number of plots and charts to present data efficiently. Besides this, developers can also use Python libraries to display data and create clear and easy-to-understand reports.

Due to this, numerous developers suggest this language to all the people who want to enter into the world of programming.

Asynchronous Coding

Asynchronous coding patterns are beneficial to resolve issues of developers on a regular basis. The main point here is that Python enables developers to write & maintain code as it doesn’t have any deadlocks or research contention. All the units of code run separately thus allowing developers to come to solutions abruptly.

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Enhanced Productivity

Python language’s simplicity and comprehensive list of libraries allow developers to write less code and achieve more as compared to leading languages such as C/C++ and Java.

Application Scripting and Software Testing

Python’s robust integration with languages such as C, C++, and Java is suitable for application scripting. It is built so that it is embeddable, highly effective for customizing huge apps and making extensions for them.

Python is also useful in test automation. Various QA experts go for Python because of its quick learning curve and support from the community.

Open Source and Dynamic Community

Python is open-source and is free for all; hence one can download Python and start working on it. Python enables you to download the source code, and change it and share your version of code with other developers. It is highly beneficial to reuse the code and use that time to create next-gen apps.

Python allows you to modify its behavior and use an earlier version of code for development.

Talking about the Python community, it’s enormous and spread worldwide. Several leading companies are contributing their part in Python, and it’s support forums.

Numerous Libraries Useful for Coding

Python’s standard library consists of all the required functions that you intend to use for a particular project. The library consists of functions useful for simple web development to advanced level machine learning. Hence, you don’t need any kind of external libraries.

Despite this, if you want to utilize any of the external libraries, then you can utilize python package manager (pip) to import some packages from the vast Python Package Index (PyPi), having 2,000+ packages.

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Cons of Python

Speed Limitations

Sometimes, strength is responsible for weakness too. Python is mainly an interpreted language and utilizes various methods to execute the code line-by-line. Due to this, Python is slower than various popular languages such as C/C++ or Java. Still, some of the benchmarks work efficiently on Python as compared to C & C++.

However, if you don’t have any issue with slow speed, you can definitely proceed with Python.

Inefficient Memory

Python offers simplicity and flexibility to developers, due to which it has to make several tradeoffs. Due to this, Python utilizes a massive amount of memory. This is a disadvantage when developing applications that need memory optimization.

Database Access

Python doesn’t offer good interactivity with the database. The language is basic and underdeveloped compared to leading languages such as Java Database Connectivity and ODBC (Open DataBase Connectivity). Due to this, various enterprises don’t use Python.

Runtime Errors

Python offers dynamic data types; due to this, anyone can modify the data type of the variable anytime. A variable that is an integer before might consist of a string in the future; this results in runtime errors. To overcome this, the developer needs to conduct some rounds of testing the applications.

Conclusion

After going through the pros and cons of Python, we can say that Python has some drawbacks like speed, security, and runtime issues. Despite this, it’s highly recommended to go with Python.

The reason is its popularity. Python is simple, versatile, interpreted, portable, readable, extensible. Moreover, Python is suitable for developing small and big apps.

Also, Python is a go-to-language for startups as it provides certainty and low risks, which they are always looking for while starting a project.

Now, based on these pros and cons of Python, you can decide whether to go with Python to develop next-gen desktop, web, and mobile apps.

Author Name:-  Harikrishna Kundariya

Author-HeadshotBiography:- Harikrishna Kundariya, a marketer, developer, IoT, ChatBot & Blockchain savvy, designer, co-founder, Director of eSparkBiz Technologies @Python Development Company. His 8+ experience enables him to provide digital solutions to new start-ups based on IoT and ChatBot.

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Shankar

Shankar is a tech blogger who occasionally enjoys penning historical fiction. With over a thousand articles written on tech, business, finance, marketing, mobile, social media, cloud storage, software, and general topics, he has been creating material for the past eight years.

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