{"id":7319,"date":"2022-03-17T07:59:23","date_gmt":"2022-03-17T06:59:23","guid":{"rendered":"https:\/\/immune.institute\/?p=7319"},"modified":"2025-10-07T11:21:17","modified_gmt":"2025-10-07T09:21:17","slug":"librerias-python-que-son","status":"publish","type":"post","link":"https:\/\/immune.institute\/en\/blog\/librerias-python-que-son\/","title":{"rendered":"Python libraries, what are they and which are the best?"},"content":{"rendered":"<p><a href=\"https:\/\/immune.institute\/en\/que-es-python\/\"><span style=\"font-weight: 400;\">Python<\/span><\/a><span style=\"font-weight: 400;\"> is a programming language that stands out for its <\/span><b>versatility and functionality<\/b><span style=\"font-weight: 400;\">. In addition to being open source, Python is interactive and cross-platform.<\/span><\/p>\n<blockquote>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Among its main features, it has built-in fonts, as well as different types of libraries.<\/span><\/p>\n<\/blockquote>\n<p><span style=\"font-weight: 400;\">Thus, in this post, we talk about the <\/span><b>Python libraries, what are they and which are the best?<\/b><\/p>\n<h2><span style=\"font-weight: 400;\">Python libraries: definition<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Broadly speaking, it should be noted that in <\/span><a href=\"https:\/\/immune.institute\/en\/lenguaje-de-programacion-r\/\"><span style=\"font-weight: 400;\">programming<\/span><\/a><span style=\"font-weight: 400;\"> a library is the set of functionalities that allow the user to carry out new tasks that could not be carried out before.<\/span><\/p>\n<blockquote>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">In other words, Python libraries are the set of implementations that allow this language to be coded, with the aim of creating an independent interface.<\/span><\/p>\n<\/blockquote>\n<p><b>Each of the Python libraries has different modules<\/b><span style=\"font-weight: 400;\">The functions are specific and also vary depending on the operating system you are working with.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">What is a basic Python library?<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Simply<\/span><b>The basic Python libraries or Python standard libraries<\/b><span style=\"font-weight: 400;\"> (also called as such) are those that come bundled with Python. One of the most famous is Matplotlib.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Types of Python libraries, depending on their purpose<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">According to the objectives of Python libraries, there are different classifications.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These are some types of Python libraries:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Deep learning:<\/b><span style=\"font-weight: 400;\"> They are focused on data prediction through Big Data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Machine learning:<\/b><span style=\"font-weight: 400;\"> These libraries are useful for the <\/span><a href=\"https:\/\/immune.institute\/en\/diferencias-de-machine-learning-y-deep-learning\/\"><span style=\"font-weight: 400;\">machine learning<\/span><\/a><span style=\"font-weight: 400;\">They improve information processing and problem solving in classification and regression data analysis.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Numerical calculation:<\/b><span style=\"font-weight: 400;\"> They prepare the data and provide important attributes for their calculation.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Visualisation:<\/b><span style=\"font-weight: 400;\"> They help to understand and comprehend the data in a more readable form.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Explainable Artificial Intelligence:<\/b><span style=\"font-weight: 400;\"> They seek optimal results in <\/span><a href=\"https:\/\/immune.institute\/en\/entrevista-monica-villas-inteligencia-artificial\/\"><span style=\"font-weight: 400;\">Artificial Intelligence<\/span><\/a><span style=\"font-weight: 400;\">The project has been implemented through a variety of technological methodologies.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Natural language processing:<\/b><span style=\"font-weight: 400;\"> Based on the calculation of normalised frequencies, models are built with text data.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400;\">How to install a Python library?<\/span><\/h2>\n<p><b>Have you understood what Python libraries are? <\/b><span style=\"font-weight: 400;\">Now it is time to find out what your installation process is, using the \"pip\" module and the \".main()\" method.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">1. Get the scripts and pip files.\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Go into Python and look for the \"Scripts\" folder. Inside it, you will see different system modules. However, you will only be interested in \"pip\", open it!<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">2. Copy the address path<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Once you open \"pip\", you will see a code, you must copy it. You will have to paste this code in the cmd of your computer's system.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Next, enter the command \"pip install\" with the name of the Python library or module you intend to install.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">3. Run the software<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Finally, it will start installing your Python library. As you can see, the process is simple. If you follow these steps, you won't have any problems.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Top 9 Python libraries<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">As we warned before, there are all kinds of libraries in Python. We have carried out <\/span><b>a selection of 9 Python libraries<\/b><span style=\"font-weight: 400;\">. And you, do you want to know which are the best Python libraries?<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">1. Matplotlib<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Indeed, we have already mentioned Matplotlib. The fact is that <\/span><b>this is the standard and best known Python library.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Matplotlib generates a wide variety of quality graphics for publishing online or on paper and without using many lines of code.\u00a0<\/span><\/p>\n<blockquote>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Bar charts, histograms, time series, power spectra... are just some examples of the possibilities of this Python library.<\/span><\/p>\n<\/blockquote>\n<h3><span style=\"font-weight: 400;\">2. TensorFlow<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">TensorFlow was developed by Google itself and is a key player in the <\/span><b>numerical calculation<\/b><span style=\"font-weight: 400;\">. Its data flow diagrams are widely used in Deep Learning.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Its structure allows for the creation of a neural network, which serves to provide a new approach to the conceptualisation of mathematics.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">3. PyTorch<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">In this case, Facebook was responsible for developing this Python library. It is also used in numerical computation and <\/span><b>their graphics cards are critical for fast code execution<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">4. Keras<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Its task is to <\/span><b>development of deep learning models<\/b><span style=\"font-weight: 400;\">This allows neural network prototypes to be created quickly and efficiently.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Also, this Python library is easy to use.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">5. Scikit-learn<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">This example of Python libraries is designed to <\/span><b>the construction of machine learning models<\/b><span style=\"font-weight: 400;\">and for data analysis.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data regression, classification and clustering actions are possible. Its interface is simple, requiring only one line of code.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">6. Pandas<\/span><\/h3>\n<p><b>Pandas is widely used in Data Science. <\/b><span style=\"font-weight: 400;\">The data are easy to work with, as their structures are made up of a series of data, as well as the Data Frame for two dimensions.<\/span><\/p>\n<blockquote>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Statistics, economics, engineering, social sciences... this Python library is used in various sectors.<\/span><\/p>\n<\/blockquote>\n<h3><span style=\"font-weight: 400;\">7. Seaborn<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">While data manipulation is the basis of Pandas, <\/span><b>Seaborn focuses on the visualisation of statistical data<\/b><span style=\"font-weight: 400;\"> to understand the data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this way, its interface is high-level as well as interactive.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">8. Bokeh<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Bokeh is also one of the Python libraries which stands out for its <\/span><b>interactivity<\/b><span style=\"font-weight: 400;\">. Its graphics are very versatile and in real time, moreover.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">9. NumPy<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">NumPy allows you to generate <\/span><b>a universal data structure<\/b><span style=\"font-weight: 400;\">This results in better data analysis, as there is an exchange of data between different algorithms.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Its vectors are multidimensional and the matrices have a large capacity.<\/span><\/p>\n<p><b>Are you clear on what Python libraries are and which ones are the best?<\/b><span style=\"font-weight: 400;\"> If you want to know more about this programming language, from IMMUNE we have this <\/span><a href=\"https:\/\/immune.institute\/en\/programas\/bootcamp-data-analytics\/\"><span style=\"font-weight: 400;\">Data Analytics Bootcamp<\/span><\/a><span style=\"font-weight: 400;\">our <\/span><a href=\"https:\/\/immune.institute\/en\/data-science\/\"><span style=\"font-weight: 400;\">Data Science Master<\/span><\/a><span style=\"font-weight: 400;\"> or the <a href=\"https:\/\/immune.institute\/en\/programas\/master-en-data-science-online\/\">Master in Data Science Online<\/a> to deepen your knowledge.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Also, if you're starting from scratch, be sure to check out this <a href=\"https:\/\/immune.institute\/en\/programas\/bootcamp-data-analytics\/\">Bootcamp in Data Analytics<\/a><\/span><span style=\"font-weight: 400;\">! Join our technological institute now.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Python es un lenguaje de programaci\u00f3n que destaca por su versatilidad y funcionalidad. Adem\u00e1s de ser de c\u00f3digo abierto, Python es interactivo y multiplataforma. Entre sus caracter\u00edsticas principales, cabe destacar que dispone de fuentes incorporadas, as\u00ed como de diferentes tipos de librer\u00edas. De este modo, en este post hablamos sobre las librer\u00edas de Python, \u00bfqu\u00e9 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":7877,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_crdt_document":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-7319","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"_links":{"self":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/posts\/7319","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/comments?post=7319"}],"version-history":[{"count":0,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/posts\/7319\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/media\/7877"}],"wp:attachment":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/media?parent=7319"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/categories?post=7319"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/tags?post=7319"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}