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Estructuras de datos de Python

Charles Russell Severance

4.8

Based on 19 ratings

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Charles Russell Severance

Este curso presentará las estructuras de datos básicas del lenguaje de programación Python. Veremos los conceptos básicos de la programación de procedimientos y exploraremos cómo podemos usar las estructuras de datos integrados de Python, como listas, diccionarios y tuplas, para realizar análisis de datos cada vez más complejos. Este curso abarcará los capítulos 6 a 10 del libro de texto “Python para todos”. Este curso cubre Python 3.

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What's inside

Syllabus

Capítulo seis: Cadenas

En esta clase, continuamos donde lo dejamos en la clase anterior, comenzando en el capítulo 6 del libro de texto y cubriendo las cadenas y pasando a las estructuras de datos. La segunda semana de esta clase se reserva al hecho de instalar Python si realmente desea ejecutar las aplicaciones en su computadora de escritorio o portátil. Si decide no instalar Python, simplemente puede pasar a la tercera semana y adelantarse.

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what should give you pause

and possible dealbreakers

Enseña los conceptos básicos de programación de procedimientos que son relevantes para los estudiantes de informática

Explora estructuras de datos básicas que son omnipresentes en la programación de computadoras

Este curso ofrece un enfoque práctico para analizar datos utilizando las estructuras de datos de Python

Está diseñado para estudiantes que ya tienen experiencia básica en programación

Este curso utiliza Python 3, que es una versión anterior de Python

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Reviews summary

Análisis de estructuras de datos de python

Según los estudiantes, este curso de Estructuras de datos de Python ofrece una sólida introducción a los conceptos fundamentales. La cobertura de cadenas, archivos, listas, diccionarios y tuplas es clara y progresiva, ideal para principiantes en programación Python 3. Aunque proporciona una base fuerte, algunos podrían encontrar que las actividades prácticas son limitadas, deseando más ejercicios complejos para la aplicación en análisis de datos. Es un buen punto de partida, pero puede requerir estudio adicional para aplicaciones avanzadas.

Basado en un libro, lo que puede requerir lectura adicional.

"Aunque el curso es bueno, sentí que a veces necesitaba consultar el libro 'Python para todos' para más detalles."

"Me pareció que el curso complementa el libro, no lo reemplaza completamente."

"Si no tienes el libro, el contenido del curso es suficiente, pero con el libro es mejor."

Ofrece una base teórica sólida, pero carece de más ejemplos.

"Aprendí las estructuras a fondo, pero me gustaría haber visto más casos de uso reales de análisis de datos."

"La parte de archivos fue útil, aunque esperaba más ejercicios prácticos complejos con datasets."

"Me dio el conocimiento para empezar, ahora necesito buscar más proyectos por mi cuenta."

El avance por capítulos es bien estructurado y fácil de seguir.

"El curso sigue una secuencia lógica de temas, lo cual facilitó mi aprendizaje."

"Me gustó cómo se dividen los conceptos, de cadenas a tuplas, de forma gradual."

"Se toma el tiempo para explicar los fundamentos, lo cual agradezco como principiante."

Una introducción muy accesible para novatos en Python.

"El curso me proporcionó una base excelente para entender las estructuras básicas de Python."

"Explicaciones muy claras, perfectas para alguien que recién comienza con Python y la programación."

"Realmente me ayudó a comprender cómo funcionan las listas y diccionarios desde cero."

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 Estructuras de datos de Python with these activities:

Read 'Python Crash Course, 2nd Edition'

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Expand your knowledge of Python data structures and their applications by reading a comprehensive book that covers the topic in depth.

View Curso Intensivo de Python on Amazon

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Acquire a copy of 'Python Crash Course, 2nd Edition'.
Read the chapters on data structures, taking notes and highlighting key concepts.
Complete the exercises and projects in the book to apply your understanding.

Review Python syntax and data structures

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Refreshing Python basics will strengthen your foundation and make learning new concepts easier.

Browse courses on Python

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Refer to your course materials or online resources
Review the basics of Python syntax, such as variables, data types, and operators
Revisit common data structures like lists, tuples, and dictionaries

Explore Python tutorials

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Guided tutorials provide structured learning and can reinforce concepts covered in class.

Browse courses on Python

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Search for Python tutorials on platforms like YouTube, Udemy, and Coursera
Choose a tutorial that aligns with your learning objectives
Follow the tutorial step-by-step and practice coding examples

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Resolve Python challenges

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Solving Python challenges will enhance your understanding of Python syntax and expose you to a variety of coding problems.

Browse courses on Python

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Identify a Python challenge platform
Register and start solving challenges
Review your solutions and learn from mistakes

Join a Python study group

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Engaging with peers allows for knowledge sharing, problem-solving, and staying motivated.

Browse courses on Python

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Find a study group or create one with classmates
Establish regular meeting times
Discuss Python concepts, work on projects, and provide feedback

Career center

Learners who complete Estructuras de datos de Python will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers build and maintain the infrastructure that supports data-driven organizations. This course can help you develop the skills needed to succeed as a Data Engineer. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings. You will also gain experience working with real-world data sets.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers design and build machine learning models. They use their models to solve business problems, such as predicting customer churn or identifying fraud. This course can help you develop the skills needed to succeed as a Machine Learning Engineer. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings. You will also gain experience working with real-world data sets.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use their knowledge of statistics, mathematics, and computer science to solve business problems. This course can help you develop the skills needed to succeed as a Data Scientist. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings. You will also gain experience working with real-world data sets.

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Data Analyst

Data Analysts analyze data to extract meaningful insights and trends. They use their findings to help businesses make informed decisions. This course can help you develop the skills needed to succeed as a Data Analyst. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings. You will also gain experience working with real-world data sets.

See salaries and explore the career path for Data Analyst

Financial Analyst

Financial Analysts use data to make investment decisions. This course can help you develop the skills needed to succeed as a Financial Analyst. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Marketing Analyst

Marketing Analysts use data to help businesses improve their marketing campaigns. This course can help you develop the skills needed to succeed as a Marketing Analyst. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Product Manager

Product Managers oversee the development and launch of new products. This course can help you develop the skills needed to succeed as a Product Manager. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Project Manager

Project Managers lead and manage projects. This course can help you develop the skills needed to succeed as a Project Manager. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Operations Manager

Operations Managers oversee the day-to-day operations of a business. This course can help you develop the skills needed to succeed as an Operations Manager. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Risk Manager

Risk Managers identify and mitigate risks. This course can help you develop the skills needed to succeed as a Risk Manager. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Information Security Analyst

Information Security Analysts protect a business's information systems from cyberattacks. This course can help you develop the skills needed to succeed as an Information Security Analyst. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course can help you develop the skills needed to succeed as a Software Engineer. You will learn how to use Python to write clean and efficient code. You will also gain experience working with real-world software projects.

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Database Administrator

Database Administrators design, implement, and maintain databases. This course can help you develop the skills needed to succeed as a Database Administrator. You will learn how to use Python to interact with databases, and how to optimize database performance.

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Business Analyst

Business Analysts use data to help businesses improve their operations. This course can help you develop the skills needed to succeed as a Business Analyst. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Compliance Manager

Compliance Managers ensure that a business complies with all applicable laws and regulations. This course can help you develop the skills needed to succeed as a Compliance Manager. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Reading list

We've selected 16 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 Estructuras de datos de Python.

Automate the Boring Stuff with Python, 2nd Edition

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Provides a comprehensive introduction to Python, covering the basics of programming, data structures, and algorithms. It good starting point for students who want to learn more about Python and its applications.

(English) Automate the Boring Stuff with Python, 2nd Edition:...

Estructuras de datos de Python

What's inside

Syllabus

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Save this course

Reviews summary

Análisis de estructuras de datos de python

Activities

Career center

Reading list

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