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Uso de Python para Acceder a Datos Web

En este curso, aprenderás cómo la Internet se puede convertir en una fuente de datos. Para esto, rasparemos, analizaremos y leeremos los datos web y también accederemos datos mediante APIs web. Trabajaremos con formatos de datos HTML, XML y JSON en Python. Este curso abarcará los capítulos 11-13 del libro de texto "Python for Everybody". Para tener éxito en este curso, debes estar familiarizado con el material que se incluye en los capítulos 1-10 del libro de texto y los dos primeros cursos de esta especialización. Estos temas incluyen variables y expresiones, ejecución condicional (bucles, ramificación y try/except), funciones, estructuras de datos de Python (cadenas, listas, diccionarios y tuplas) y manipulación de archivos. Este curso abarca Python 3.

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What's inside

Syllabus

Primeros Pasos

En esta sección, instalarás Python y un editor de texto. En las clases anteriores de la especialización, esta fue una tarea opcional, pero en esta clase es el primer requisito para comenzar. A partir de este momento, dejaremos de usar el ambiente de calificación Python basado en un navegador ya que el ambiente de Python basado en un navegador (Skulpt) no es capaz de ejecutar los programas más complejos que desarrollaremos en esta clase.

Expresiones Habituales (Capítulo 11)

Las expresiones habituales son un lenguaje muy especializado que nos permite buscar brevemente cadenas y extraer datos de cadenas. Las expresiones habituales son un lenguaje en sí mismas. No es esencial saber usar expresiones habituales pero pueden ser bastante útiles y poderosas.

Redes y Sockets (Capítulo 12)

En esta sección aprendemos sobre los protocolos que utilizan los navegadores web para recuperar documentos y aplicaciones web para interactuar con las interfaces de programas de aplicaciones (API).

Programas que Navegan en la Web (Capítulo 12)

En esta sección aprendemos a usar Python para recuperar datos de sitios web y API a través de Internet.

Servicios Web y XML (Capítulo 13)

En esta sección, aprendemos cómo recuperar y analizar datos XML (eXtensible Markup Language).

JSON y la Arquitectura REST (Capítulo 13)

En este módulo, trabajamos con interfaces de programas de aplicaciones/servicios web utilizando el formato de datos Notación de objetos JavaScript (JSON).

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Desarrolla habilidades para navegar en la web y acceder a datos de sitios web y API

Enseña expresiones regulares, una herramienta valiosa para encontrar y extraer datos de cadenas

Utiliza protocolos de red y sockets para comprender la interacción entre navegadores web y aplicaciones web

Requiere conocimientos previos en Python, incluyendo variables, expresiones, estructuras de datos y manipulación de archivos

No cubre el uso de lenguajes de programación más allá de Python

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Reviews summary

Python web data access knowledge

This course goes in depth into the material about web services and provides insights into the different languages used. Those who know a little about web services prior to taking this course will have the best experience.

Deep dives into web services.

"Excellent! I learned great content about web services, a topic in which I did not have much knowledge"

Instructor primarily uses books.

"This course has a very interesting info, but I don't like the way the professor teach. Basically books examples, if you want to learn, I don't recommend this course as your first option"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Uso de Python para Acceder a Datos Web with these activities:

Revise Python Basics

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Reinforce your understanding of fundamental Python concepts to build a solid foundation for the upcoming course content.

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Review chapters 1-10 of 'Python for Everybody'
Work through practice problems and exercises from the chapters
Complete online tutorials or quizzes to test your comprehension

Study Group Discussions

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Engage with classmates to discuss course concepts, share insights, and reinforce your understanding through collaborative learning.

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Form a study group with classmates
Meet regularly to review course material
Discuss complex topics and solve problems together

Participar en sesiones de práctica con compañeros de clase

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Mejora tu comprensión de Python colaborando con compañeros de clase y resolviendo problemas juntos.

Browse courses on Python

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Forma un grupo de estudio con compañeros de clase que tengan intereses similares.
Reúnete regularmente para discutir conceptos de Python, resolver problemas y compartir conocimientos.
Trabaja en proyectos o tareas juntos para aplicar los conceptos aprendidos.

Ten other activities

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Regex Exercises

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Enhance your ability to write and interpret regular expressions for effective data extraction and manipulation.

Browse courses on Regular Expressions

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Practice writing regex patterns to match various data formats
Use online tools or libraries to test and refine your regex expressions
Solve coding challenges involving regex pattern matching

Tutoriales sobre protocolos y redes

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Proporcionar una comprensión práctica de los protocolos y las redes, esenciales para comprender cómo funcionan las aplicaciones web.

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Seguir tutoriales en línea sobre protocolos como HTTP y HTTPS
Experimentar con diferentes técnicas de redes usando módulos de Python

Realizar ejercicios de programación en Python relacionados con el curso

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Refuerza tu comprensión de los conceptos de Python practicando con ejercicios de programación relacionados con el curso.

Browse courses on Python

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Identifica los conceptos de Python que se tratan en el curso.
Busca ejercicios de programación en línea o en libros de texto que aborden estos conceptos.
Resuelve los ejercicios de programación utilizando los conceptos aprendidos en el curso.
Compara tus soluciones con las soluciones proporcionadas o pide ayuda a compañeros de clase o al instructor.

HTTP Request Basics

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Gain a solid understanding of HTTP request methods and protocols to effectively interact with web APIs and services.

Browse courses on HTTP

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Follow tutorials on HTTP request fundamentals
Practice sending HTTP requests using Python libraries
Explore different HTTP response codes and their implications

Web Scraping with BeautifulSoup

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Develop practical skills in web scraping and data extraction using the BeautifulSoup library to analyze and retrieve information from websites.

Browse courses on Web Scraping

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Follow tutorials on installing and using BeautifulSoup
Practice extracting data from sample web pages
Build a simple web scraping script to collect specific data from a website

Seguir tutoriales en línea para ampliar los conocimientos de Python

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Profundiza tu comprensión de Python explorando tutoriales en línea que cubran temas relacionados con el curso.

Browse courses on Python

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Identifica áreas de Python que desees reforzar o ampliar.
Busca tutoriales en línea de fuentes confiables y expertos en Python.
Sigue los tutoriales paso a paso, tomando notas y practicando los conceptos aprendidos.
Aplica los conocimientos adquiridos en proyectos o tareas del curso.

Iniciar un proyecto personal relacionado con Python

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Amplía tu aprendizaje de Python iniciando un proyecto personal que te permita explorar tus intereses y desarrollar habilidades prácticas.

Browse courses on Python

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Identifica un área de Python que te apasione o que desees explorar más a fondo.
Define el alcance y los objetivos de tu proyecto personal.
Planifica el diseño y la implementación de tu proyecto.
Comienza a desarrollar y codificar tu proyecto.
Prueba y depura tu proyecto regularmente para garantizar su correcto funcionamiento.

Crear un proyecto que demuestre la aplicación de los conceptos de Python

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Solidifica tu comprensión de Python creando un proyecto que demuestre tu capacidad para aplicar los conceptos aprendidos.

Browse courses on Python

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Identifica un problema o necesidad que pueda resolverse utilizando Python.
Diseña y desarrolla un proyecto que aborde el problema o necesidad identificada.
Implementa el proyecto usando los conceptos de Python aprendidos en el curso.
Prueba y depura el proyecto para garantizar su funcionalidad.
Presenta tu proyecto a la clase o al instructor para recibir comentarios y retroalimentación.

JSON Data Analysis Project

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Apply your knowledge of JSON and data analysis techniques to extract insights and create visualizations from real-world JSON datasets.

Browse courses on JSON

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Identify a suitable JSON dataset for analysis
Load and parse the JSON data using Python
Perform data analysis and generate insights
Create data visualizations using libraries like matplotlib or seaborn

Web API Integration Project

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Challenge yourself by integrating a web API into a Python project, allowing you to interact with real-world data and services.

Browse courses on Web APIs

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Identify a suitable web API to integrate
Develop a Python script that interacts with the API
Handle API responses and extract relevant data
Incorporate the integrated API into a larger project or application

Career center

Learners who complete Uso de Python para Acceder a Datos Web will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts sift through and interpret vast amounts of raw data to extract meaningful insights. Armed with the ability to read data from websites and APIs using Python, you will excel as a Data Analyst. This course delves into essential technologies such as HTML, XML, and JSON, empowering you to gather data efficiently and accurately. Harnessing this expertise, you can transform raw data into actionable insights, providing valuable support to businesses and organizations seeking data-driven decision-making.

See salaries and explore the career path for Data Analyst

Web Developer

Web Developers design and build functional, visually appealing websites and applications. Proficiency in Python is highly sought after in this field. This course not only equips you with Python skills but also covers HTML, XML, and JSON, the cornerstones of web development. By understanding how to retrieve data from websites and APIs, you gain a competitive edge in creating dynamic and interactive web experiences.

See salaries and explore the career path for Web Developer

Data Scientist

Data Scientists utilize advanced techniques to analyze and interpret vast amounts of data, extracting valuable insights and patterns. Python is a key tool in this field, and this course provides a solid foundation in Python programming, coupled with expertise in reading data from websites and APIs. By mastering these skills, you gain the ability to collect and analyze data more efficiently, enabling you to make data-driven predictions and recommendations that drive business decisions.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and maintain software systems. Python is widely used in software development, and this course provides a strong foundation in Python programming, along with expertise in data retrieval from websites and APIs. By developing proficiency in these areas, you can contribute effectively to software development projects, building robust and reliable applications.

See salaries and explore the career path for Software Engineer

Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning models to solve complex problems. Expertise in Python is essential in this field. This course not only provides a solid foundation in Python programming but also covers data retrieval from websites and APIs. By mastering these skills, you can gather and prepare data effectively, enabling you to build and train machine learning models that deliver accurate predictions and insights.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers design, build, and maintain data pipelines to ensure data is available for analysis. Proficiency in Python is crucial in this role. This course provides a strong foundation in Python programming, along with expertise in data retrieval from websites and APIs. By developing these skills, you can contribute effectively to data engineering projects, ensuring that data is accessible, reliable, and ready for analysis.

See salaries and explore the career path for Data Engineer

Web Scraper

Web Scrapers extract data from websites for various purposes. Proficiency in Python is essential for this role. This course not only provides a solid foundation in Python programming but also covers data retrieval from websites and APIs in depth. By mastering these skills, you can develop efficient and reliable web scraping tools, enabling you to gather valuable data from the vast expanse of the internet.

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Data Journalist

Data Journalists use data to tell stories and inform the public. Python is increasingly used in this field for data analysis and visualization. This course provides a strong foundation in Python programming, along with expertise in data retrieval from websites and APIs. By developing these skills, you can effectively gather and analyze data, enabling you to create compelling data-driven stories that engage and inform audiences.

See salaries and explore the career path for Data Journalist

Business Analyst

Business Analysts use data to improve business processes and make better decisions. Python is becoming increasingly popular in this field for data analysis and visualization. This course provides a strong foundation in Python programming, along with expertise in data retrieval from websites and APIs. By developing these skills, you can effectively gather and analyze data, enabling you to make data-driven recommendations that drive business success.

See salaries and explore the career path for Business Analyst

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to assess risk and make investment decisions. Python is widely used in this field for data analysis and modeling. This course provides a strong foundation in Python programming, along with expertise in data retrieval from websites and APIs. By developing these skills, you can effectively gather and analyze data, enabling you to build accurate and reliable models for risk assessment and investment decisions.

See salaries and explore the career path for Quantitative Analyst

Market Researcher

Market Researchers conduct research to understand consumer behavior and market trends. Python is increasingly used in this field for data analysis and visualization. This course provides a strong foundation in Python programming, along with expertise in data retrieval from websites and APIs. By developing these skills, you can effectively gather and analyze data, enabling you to provide valuable insights that guide marketing strategies.

See salaries and explore the career path for Market Researcher

Product Manager

Product Managers are responsible for the development and launch of new products. Python is becoming increasingly popular in this field for data analysis and customer feedback analysis. This course provides a strong foundation in Python programming, along with expertise in data retrieval from websites and APIs. By developing these skills, you can effectively gather and analyze data, enabling you to make informed decisions about product development and marketing strategies.

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UX Designer

UX Designers focus on the user experience of products and services. Python is occasionally used in this field for data analysis and user feedback analysis. This course provides a strong foundation in Python programming, along with expertise in data retrieval from websites and APIs. By developing these skills, you can effectively gather and analyze data, enabling you to gain valuable insights into user behavior and preferences.

See salaries and explore the career path for UX Designer

Technical Writer

Technical Writers create documentation and training materials for software and other technical products. Python is sometimes used in this field for automating documentation generation. This course provides a strong foundation in Python programming, along with expertise in data retrieval from websites and APIs. By developing these skills, you can effectively gather and analyze data, enabling you to create clear and concise documentation that meets the needs of users.

See salaries and explore the career path for Technical Writer

Customer Success Manager

Customer Success Managers help customers get the most value from a company's products and services. Python is occasionally used in this field for data analysis and customer feedback analysis. This course provides a strong foundation in Python programming, along with expertise in data retrieval from websites and APIs. By developing these skills, you can effectively gather and analyze data, enabling you to better understand customer needs and provide tailored support.

See salaries and explore the career path for Customer Success Manager

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Uso de Python para Acceder a Datos Web.

Web Scraping with Python

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Provides a comprehensive overview of web scraping techniques using Python, covering topics such as HTTP requests, parsing HTML and XML, and handling cookies and authentication. It includes practical examples and exercises to help readers apply the concepts learned.

(English) Web Scraping with Python: Data Extraction from the...

Uso de Python para Acceder a Datos Web

What's inside

Syllabus

Good to know

Save this course

Reviews summary

Python web data access knowledge

Activities

Career center

Reading list

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