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Third-party libraries are an essential tool in modern programming, and most programming languages have different libraries that simplify certain tasks for developers. A library, also known as a package or module, is a set of predefined code that has been developed by an external programmer and made available to the general public.
Below, we will see a small example with one of Python's most popular libraries, the Pandas library.
askeyword is used to give the library an alias to make it easier to use. It is optional.
In this example, we create a small DataFrame with the help of the
DataFrame() function from the Pandas library. We then add information for three different users and display the user information in the console.
Third-party libraries are collections of code developed by external programmers. These libraries or packages encapsulate specific functionality that can be reused in different projects as needed. Instead of writing code over and over again whenever you need to perform a common or complex task, you can rely on third-party libraries that have already created and tested that code, saving you time and effort. To download a Python library, you can use the package management system called pip (Pip Install Packages).
example.py, and import the library using the following syntax:
The alias is optional and it works for giving the library a shorter name for easier use.
Once imported, you can use this library in your code and take advantage of all its benefits. Remember that you can install and import as many libraries as you need. For example, you can use the NumPy library along with the Pandas library for advanced mathematical calculations.
Below, we'll see some examples of how to install, import, and use different third-party libraries in your Python code.
The requests library allows you to make HTTP requests in Python. This library abstracts the complexity of making HTTP calls with the help of intuitive and easy-to-understand functions, allowing you to focus on getting the most out of the API you want to use.
To use the Requests library on your computer, follow these steps:
In this example, we use the
get() method from the Requests library to retrieve information from a server. If the request is successful, we print the result to the console, but if the request fails, we display an error in the console. For this example, we use the jsonplaceholder API, which allows you to make free HTTP requests to test your application.
The NumPy library is one of the most important packages to understand when starting to learn Python. This library allows developers to quickly perform a wide variety of numerical calculations. To install NumPy on your computer, follow these instructions:
The NumPy library offers a wide variety of functions that allow you to perform advanced mathematical calculations, create arrays, matrix, and much more. Here are some of the most relevant functions:
|Creates a NumPy array from a list or another iterable object.|
|Creates an array of zeros with specific dimensions.|
|Creates an array with a sequence of evenly spaced numbers in a specified range and a number of elements.|
|Creates an array with random values in the range [0, 1] with specified dimensions.|
Pandas is one of the most important libraries in Python, especially in fields like data science or machine learning (Machine Learning). Pandas offers a wide variety of functions for data manipulation and analysis. To download Pandas on your computer, follow these instructions:
If you want to start your career in data science or artificial intelligence, Pandas will be your ally for data cleaning and analysis. This library allows you to read .csv files, Excel files, JSON files, and more
Matplotlib is a Python library used to create high-quality visualizations and graphs. It provides an interface to produce a variety of charts, from simple to complex, that are essential for effective data communication.
To use Matplotlib in your own projects, follow these steps:
In this example, we create a mock visualization of the number of sales over the years of a company. Using the
plot() method, we create the presentation table. Then, with the label and title methods, we create
labels and the
title of our table. Finally, we use the
grid() function to display the grid of our visualization.
Third-party libraries are an essential tool for any programmer. They provide an efficient way to leverage tested and reliable functionality, speeding up development and improving project quality. Third-party libraries are especially useful in fields like data science or machine learning because they offer a wide range of features that will help you save time and effort when creating your projects.