In this article, let's learn about the 5 most important uses of Python, an open source programming language that has gained exponential popularity in recent years, becoming a kind of fad among programmers and being used by renowned companies such as Facebook, Netflix, Spotify and many more. Considered an open source programming language, very simple and easy to understand and object-oriented. It has a simple syntax and a vast library of tools, which defines it in a unique programming language. In other words, Python gives you the ability to create highly readable code, which reduces time and resources. Let's learn the 5 most important uses of Python 1. Python in Artificial Intelligence (AI) Artificial intelligence , and machine learning in particular, is growing at a rapid pace. The market requires an ever-increasing number of programmers trained to provide fast and functional solutions, and one of the best ways to obtain this is through Python. Below, we mention the main reasons for this statement, based on the advantages that this language currently offers. Firstly, its simplicity and ease of learning, together with the benefits of open source, and secondly, it offers a multitude of libraries, which gives it versatility and flexibility. In addition, it has an excellent data representation and a large community of programmers willing to help each other. 2. Python programming in Big Data The complexity ofBig Data can be overwhelming for some analysts. However, there are tools that can be vital support to facilitate programming processes, thus increasing their efficiency. This is why Python has positioned itself among the favorite languages of developers. Let's dive into the main reasons why Python is one of the best options for building and developing Big Data projects today: First of all, we must mention again its simplicity of use and how easy it is to learn how to use it. On the other hand, we have its multiple compatibility, support tools and, as a key aspect, its data visualization capacity. 20% EXTRA DISCOUNT Get started today and get fully certified with our Zero to Expert Python course 100% online at your own pace practical exercises Lifetime Access certified endorsed Apply the coupon [DARE] and get an extra 20% discount for only 100 students. Click the button and join! Learn more 3. Python Programming Language in Data Science An anecdote about the birth of Python tells that its creator,Guido Van Rossum , created the language during a Christmas week in the 80s without any pretensions, as a hobby. From its development, updates were released over time, until in recent years, it has established itself as one of the most used languages. For the development of a Data Science project there are various blocks to complete said project, some of the most relevant are: 1. Data extraction 2. Data processing 3. Application of algorithms, which can be machine learning, deep learning or NLP (Natural Language Processing) 4. Finishing with the evaluation of the results. Which makes us wonder: What computational tools could be used to develop each of the blocks? The answer will always be Python, since it has a large number of libraries available for each one, as well as a large community of programmers who provide support in different programming forums. 3. Python in Test Frameworks As for Frameworks, testing is another activity that has changed to Python. Python is recommended for validating ideas or products, as it has many built-in frameworks that support debugging code and offer fast workflows and execution. Testing tools like Unittest, Pytest, and Nose Test make testing easier. Python also allows cross-platform and cross-browser testing with various frameworks like PyTest and Robot. Testing, which is usually one of the most difficult tasks, becomes much simpler and faster. FREE DOWNLOAD Developed with the intention of making you aware of the importance of this programming language, its main elements, its development environment, its libraries and object-oriented programming. 5. Using Python in Web Development As we mentioned earlier, one of the most notable advantages of Python is its ability to build much more in fewer lines of code, which creates more efficient models. One of the most well-known Python frameworks is Django, as it undoubtedly provides an advantage for developers, since it can be used to develop dynamic and highly secure web applications. Python is a language used to obtain data from other websites, also known as scraping. More and more applications are being developed with frameworks of this type, including Instagram, Bit Bucket , Pinterest , and others. The uses of Python are many more than those just mentioned, this language allows for application to game development, network creation, data visualization and software development in general. If you are interested in learning to program or improving your skills, Python is the best decision you can make if you are a developer or want to apply your knowledge in one of the fields described previously. Without a doubt, Python is one of the languages you must learn and master to work on cutting-edge technological development projects. Learn to use the programming language that platforms like Facebook, Netflix and other large organizations are based on. Don't hesitate and learn to use Python by taking our Python from Zero to Expert course (no prior knowledge required). Courses that may interest you Do you want to learn more about Python? We recommend our courses: Business Analysis with Excel and Python and JavaScript Fundamentals See product See product See product