Which coding language is Lua based on

Python is one of the most popular coding languages ​​in the world. It was first conceived in the late 1980s under the influence of ABC and Modula-3 languages. It has come a long way from the first version in 1991 to version 2.0, which became an open source project. To this day, a large and professional community gathers that is constantly improving the technology.
Currently, some top companies are using Python in their technology stack (e.g. Instagram).

A picture social network under Facebook
Python is suitable for all types of web projects, from simple to complex. It is widely used in various fields such as travel, medical care, transportation, finance, etc. for web development and software testing, script writing and generation.

Python's popularity is related to the various advantages it offers, such as simplicity and elegance, that these large companies attract. While there are many advantages to using Python for web development, there are also some disadvantages. Let's take a look at it.

from the TIOBE ranking
Pros: Why Choose Python for Web Development?

Benefits of Python
1. Easy to use and read

Several factors can make using Python easier in web development:

Low barriers to entry Python is similar to the English we use in our daily life. The simplicity of the syntax allows you to deal with complex systems and ensure that all elements have a clear relationship. As a result, more inexperienced programmers can learn the language and join the programming community more quickly.

A good visualization can present data in an easy-to-understand format using a variety of graphs and charts. They are an effective way to visually represent and understand data. Web development companies use Python libraries (like Matplotlib) to visualize data and produce clear and easy-to-understand reports.

Python is very easy to read, so developers usually have no problem understanding the code written by other programmers. This can encourage more efficient communication between developers working on the same project.

2. Asynchronous coding

With no deadlocks, research disputes, or other confusing issues, writing and maintaining asynchronous code in Python doesn't take a lot of effort. Each unit of this type of code runs separately, so you can work on situations and problems more quickly.

3. Less restrictive programming methods

Compared to other coding languages ​​(such as Java), Python has less restrictive programming methods. It has multiple paradigms and can support multiple styles of programming including procedural, object-oriented, and functional (imperative). This makes Python a great language for startups as projects may need to change methods at any time.

lock in:

Rapid development. In addition to being one of the fastest growing coding languages, Python is also a language that enables rapid prototyping and iteration. This makes work easier and is more productive for developers.
OOP is getting easier. Object-oriented programming (also known as OOP) is a paradigm for organizing various behaviors and attributes into multiple objects and classes. Each of these classes has a function. So if there is an error in some parts of the code, other parts are not affected. In Python, the operation of OOP has been simplified considerably, which reduces development costs and saves time.
Extensive standard library and ecosystem. The Python library contains a lot of pre-written code. Therefore, developers don't have to waste time creating basic projects. These libraries also allow programmers to process and transform data necessary for continuous computing in machine learning (ML).

4. Enterprise application integration

Python is a popular choice for enterprise software applications, thanks in large part to its seamless integration with other languages ​​traditionally used for enterprise development, such as: B. Java, PHP and .NET.

Python is called directly with Java, C ++ or C code, so that a large part of the process control and implementation of the most common protocols and data formats can be carried out.

In addition, old and new infrastructure fragments can be put together, which is typical in complex mobile applications.

5. You can use the Python framework for fast web development

Another advantage of Python is that it has many frameworks that make the development process easier. Different frameworks may be required depending on your work.

Here are 4 famous frameworks:

4 famous Python web frameworks
Django: This framework is very suitable for mature web applications and scalable mid-range projects. It has built-in functionality and allows code reuse, consistent changes to various components of the code, and other features that simplify web development. Django can work perfectly with Oracle SQL, PostgreSQL, MySQL and other popular databases.
Pyramid: With this framework you can start small and expand as needed. Pyramid can be used with various databases and applications or expanded with plug-ins. Developers can add any functionality they need. This is useful when you need to implement different solutions in one task.
TurboGears: TurboGears consists of several components such as Repoze, WebOb and Genshi and is based on the MVC architecture. This is useful for fast and efficient web application development and easier to maintain. With this framework you can write small or complex applications in minimal or full stack mode.
Bottle: The idea of ​​the framework is to provide an easy to manage and easily customizable solution. Flask defines itself as a micro-framework that is most commonly used for small-scale solutions where lean capabilities are primarily in the foreground. The framework is also used to create prototypes.
6. Practical scientific computer library

Various software packages and libraries, as well as toolkits (such as VTK 3D and MayaVi), separate imaging libraries, and many other tools are available for developing scientific and digital applications. The most commonly used are:

5 common scientific computer libraries:

SciPy (Science Digital Library);
Pandas (data analysis library);
IPython (command shell);
NumPy (basic numerical software package);
Natural Language Toolkit (Mathematics and Text Analysis Library: Mathematics and Text Analysis Library).
7. For machine learning and AI

Machine learning (ML) and artificial intelligence (AI) technologies are getting more and more attention, so more and more developers are trying to include them in different projects. If the correct language is used, this is possible.

According to Jean François Phuket, a representative of IBM's machine learning division, Python is the top language for ML and AI projects, and many developers agree. Python has an efficient ML package, tools to visualize the results, and goes well beyond data analysis and other functions that benefit this area of ​​application.

Python is indeed the hottest machine learning and artificial intelligence language, none of them.

The most typical terms are online speech synthesis and online speech recognition. If your project is to create an artificial intelligence web application, Python is perfect.

8. As an application script

Thanks to the powerful integration of Python with C, C ++, and Java, Python can easily be used for application scripting. It was designed to be embedded from the start and is very useful for customizing and extending large applications.

I dare not say that Python can replace Lua, but Python, like Lua, can be embedded in C / C ++.

9. Software tests

Python is used for test automation. Many QA automation professionals choose Python for its easy learning curve - it's also very useful for those with a limited technical background (strong community, clear syntax, and readability). Python even has an easy-to-use framework for unit testing (you can use it to do geographic testing for mobile apps, for example).

M years ago I worked for a router manufacturer. At that time I saw the testing department using Tcl scripts to test router ports. I was surprised at the time. After all, the syntax of Tcl scripts is really weird. In comparison with that, Python's syntax is really clean and concise.

10. Use in prototyping

Building prototypes in Python has proven to be a quick and easy process. The agility of the programming languages ​​makes it easy to refactor code, and the original prototype can be quickly developed into the final product.

11. Open source

Python has an open source license which makes it easy for users to access and easy to redistribute and make unlimited changes. Developers can freely use the language and contribute to its improvements.

12. Server-side script

As mentioned above, one of the advantages of using Python for server-side scripting is its simple syntax, which makes processing much faster. The code is made up of functional modules and the connections between them so that you can run program algorithms based on user operations. Python also supports the graphical user interface required for web development.

13. Portability and Interactivity

Thanks to its interactivity and portability, Python offers excellent functions for dynamic semantics and rapid prototyping. It can be easily embedded in different applications, including applications that use different coding languages. Hence, you can easily fix new modules and expand the core Python vocabulary. It can connect different components. No wonder it is sometimes referred to as "glue language".

Disadvantages of using Python in web applications

While Python has many advantages, it is important to keep the disadvantages in mind if you plan to use this language in your project.

1. Developers with less experience

Whenever you need to build an application for you, you want to be sure that the most experienced developers get the job done. However, using Python is not that easy as there aren't many experts using this language, especially when comparing it to Java.

2. Lack of real multiprocessor support (pseudo-threading)

Multiprocessing is an important part of writing applications. Python supports multiprocessing, although it may not be as flexible or practical as other languages. This can lead to certain restrictions when writing code.

3. Speed ​​limit

Python is often criticized for its speed. It is an interpreted scripting language. Because of the different code translation methods used, it is relatively slower than many compiled relative languages ​​(such as C / C ++ or Java). However, some Python benchmarks are faster than C and C ++.

However, Python isn't the only tool with speed issues. Ruby, Perl, and even JavaScript are relatively slow in development.

Fixed and tweaked some speed related issues so Python is still one of the top options for software development teams.

4. There is no advantage to mobile development

This is not a bad language for mobile development. Few companies use it for this purpose, preferring to develop iOS and Android native or to develop React Native. For the same reason, you can find it difficult to recruit developers with experience in mobile Python development. It is not as popular in this area as other technologies.

5. Not ideal for memory-intensive tasks

Python is a language known for its flexibility with data types. This results in quite a high memory consumption and makes it impractical to use for tasks that consume a lot of memory.

6. Design Limitations

Python is dynamically typed, which means it performs certain tasks while the application is running, otherwise it is run in a statically typed language. This leads to design limitations. Loading elements into your design may stop the program and prevent it from operating properly.

Another thing to keep in mind when planning to use Python for your project is that parallelism and parallelism are not meant to be used perfectly in Python. As a result, the design may not look as intricate as you'd like.

Summarize the thoughts

Python allows you to develop clean, simple applications that can be easily ported from a small project to a complex application with full functionality. Python is an ideal choice for many types of projects, whether you are a novice programmer or a learning programmer.

It's recognized as one of the best programming languages ​​for startups and it's easy to see why when you compare the benefits of parallel Python and what the purpose of startups is. Startups are always on the lookout for security and risk reduction. They have limited resources and need room to grow. On the other hand, Python is flexible and easy to extend, doesn't require a large team, and can be used to create prototypes and MVPs.

Python web development company Django Stars has been using the language for many years. We have completed various complex projects and achieved many successful examples in e-commerce, real estate and finance. These include:

PADI Travel - an e-commerce and travel booking platform used by divers around the world.
Sindeo - a real estate platform that provides information on lenders and mortgages.
MoneyPark - a Swiss company that offers personalized financial advice for insurance and mortgages.
No matter what area you work in, Python deserves your attention. It offers a simple solution without unnecessary details, saves time and ensures a high level of security.

Many well-known companies use and trust Python. Some of the largest and most trusted global companies use Python as their main coding language along with the Django platform. Instagram, Pinterest, Bitbucket, and Dropbox are some examples of companies using Python web development services.