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Charles Russell Severance

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.
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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
Reinforce your understanding of fundamental Python concepts to build a solid foundation for the upcoming course content.
Show steps
  • 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
Engage with classmates to discuss course concepts, share insights, and reinforce your understanding through collaborative learning.
Show steps
  • 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
Mejora tu comprensión de Python colaborando con compañeros de clase y resolviendo problemas juntos.
Browse courses on Python
Show steps
  • 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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Show all 13 activities
Regex Exercises
Enhance your ability to write and interpret regular expressions for effective data extraction and manipulation.
Browse courses on Regular Expressions
Show steps
  • 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
Proporcionar una comprensión práctica de los protocolos y las redes, esenciales para comprender cómo funcionan las aplicaciones web.
Show steps
  • 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
Refuerza tu comprensión de los conceptos de Python practicando con ejercicios de programación relacionados con el curso.
Browse courses on Python
Show steps
  • 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
Gain a solid understanding of HTTP request methods and protocols to effectively interact with web APIs and services.
Browse courses on HTTP
Show steps
  • 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
Develop practical skills in web scraping and data extraction using the BeautifulSoup library to analyze and retrieve information from websites.
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Show steps
  • 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
Profundiza tu comprensión de Python explorando tutoriales en línea que cubran temas relacionados con el curso.
Browse courses on Python
Show steps
  • 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
Amplía tu aprendizaje de Python iniciando un proyecto personal que te permita explorar tus intereses y desarrollar habilidades prácticas.
Browse courses on Python
Show steps
  • 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
Solidifica tu comprensión de Python creando un proyecto que demuestre tu capacidad para aplicar los conceptos aprendidos.
Browse courses on Python
Show steps
  • 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
Apply your knowledge of JSON and data analysis techniques to extract insights and create visualizations from real-world JSON datasets.
Browse courses on JSON
Show steps
  • 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
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
Show steps
  • 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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.
The Beautiful Soup documentation is an essential resource for anyone using the Beautiful Soup library for web scraping. It provides detailed explanations of the library's functions and methods, as well as examples of how to use them effectively.
Provides a comprehensive overview of data analysis using Python, covering topics such as data cleaning, data transformation, and data visualization. It includes practical examples and exercises to help readers apply the concepts learned.
Provides a comprehensive overview of natural language processing (NLP) using Python, covering topics such as tokenization, stemming, and parsing. It includes practical examples and exercises to help readers apply the concepts learned.
Provides a comprehensive overview of machine learning using Python, covering topics such as supervised learning, unsupervised learning, and deep learning. It includes practical examples and exercises to help readers apply the concepts learned.
Provides a comprehensive overview of deep learning using Python, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It includes practical examples and exercises to help readers apply the concepts learned.
Provides a comprehensive overview of Python programming, covering topics such as variables, data types, control flow, and functions. It includes practical examples and exercises to help readers apply the concepts learned.
Provides a practical guide to automating tasks using Python, covering topics such as web scraping, data analysis, and file manipulation. It includes practical examples and exercises to help readers apply the concepts learned.
Provides a comprehensive overview of Python programming, covering topics such as variables, data types, control flow, and functions. It includes practical examples and exercises to help readers apply the concepts learned.

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