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Advantages of hiring Python developers

The Python programming language is extensively used by businesses around the globe to build web applications, automate operations, analyze data and create scalable and reliable business applications.

Many technology companies, including Google, Netflix, Uber and Facebook have been using this programming language for years and building their technology infrastructure around it.

In the financial sector, large firms such as Goldman Sachs, PayPal and JP Morgan consider it one of the basic requirements in many of their personnel selection processes.

Given the popularity it has acquired in the last decade, we could think that it was created at the beginning of this century. Nothing could be further from the truth: its origin dates back to the late 1980s and early 1990s.

Its implementation began in December 1989 when Guido van Rossum, a worker at the CWI (an official Dutch research center) decided to start the project as a hobby giving continuity to the ABC programming language developed by the team he had been part of at the CWI.

Its name is due to Van Rossum's fondness for the Monty Python group and its conception focused on making it easy to use and learn without penalizing its capabilities. The reason that it did not acquire sufficient importance at the time was the lack of resources in the hardware of the time.

The advancement in hardware technologies has been a necessary condition for the rebound in its popularity. However, the generalization of big data in recent years, followed by the explosion of artificial intelligence, machine learning, deep learning and the emergence of data science as a new area of work with its own specialists have revolutionized the scene.

In fact, many of the new tools that have emerged, which are exploited by data engineers and data scientists, have been developed in Python.

The main Python´s advantages are that it has a flat learning curve, which is great for users with little technical experience, such as academics for research, or companies that look for automation; it is owned by an independent Python Software Foundation (PSF) and guided by the community; it has powerful scientific tools (for example, SciPy); and it has good documentation and community support, which includes many local user groups and conferences.

If you hire a Python developer, you may be wondering what the professional could you for you and your business. It is worth noting that Python´s versatility makes it ideal for all kinds of computer products.

For instance, Python is outstanding for web development. When we talk about web development we refer to the creation and maintenance of web sites, which can be very varied. We have, for example, web pages or mobile and tablet applications.

Python is also widely used to program scrapping software (programs that extract information from a web page). For example, Instagram and Pinterest use them.

Data automation is also popular with Python. This is a very recurring element used by millions of companies, since the handled amount of information and data is immeasurable. Python is used to manage tabular, matrix and statistical data; as well as to visualize them with libraries. Some of these libraries are "Matplotlib" and "Seaborn".

Artificial intelligence is another field in which a developer can help you obtain many benefits with Python. Artificial intelligence programmers like Python because it is a code that allows them to express complex ideas in a few lines. It is also open source, so anyone can access it and join the community.

It is worth noting that the language has great frameworks. In computing and technology, everything has to go through a testing phase before being released to the general public.

Python is great when it comes to overcome the test phases of multiple products and tools. Unittest, Nose test and Pytest stand out as Python test tools. On the other hand, this language supports cross-platform and cross-browser testing with different frameworks like PyTest and Robot.

Machine learning and Python are frequently seen together. Machine learning is a branch of artificial intelligence that develops systems that learn automatically. Are we ready for the future? The Python programming language has proven to be a very effective method for programming this type of system.

Then, Big data, also known as data analytics, is one of Python's most powerful niche markets. The Python programming language is frequently used to program data analysis and information extraction software. This information is extremely useful for companies in order to guide their sales strategy, customer acquisition and market niches.

Information is power, and even more when it comes to money. Knowing the habits of consumers, how they interact with sales sites, the personal information of potential customers... all this data can be analyzed to increase the profits of a company.

Python´s data processing libraries such as Pydoop, Pyspark and Dask stand out for their simplicity and effectiveness.

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