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Aprendiendo Python con textos, números y ecuaciones

Arturo Javier Miguel de Priego Paz Soldán

En este curso basado en un proyecto, aprenderás a crear un programa en Python para resolver ecuaciones lineales, y explorarás objetos, sentencias y funciones de Python para procesar textos y números.

Al finalizar este proyecto habrás creado una aplicación que ayudará a los estudiantes y profesores a practicar con expresiones y ecuaciones lineales o de primer grado. Durante el proceso aprenderás a usar Jupyter para editar y ejecutar programas de Python; utilizar objetos con datos textuales y numéricos y en listas; controlar la secuencia de ejecución del programa; definir tus propias funciones y utilizar funciones de Python. En varios casos partiremos de algoritmos para crear programas y funciones. Esta experiencia servirá para comenzar a desarrollar programas para otras aplicaciones en matemática, ciencia, ingeniería y tecnología.

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Es apto para estudiantes y profesores que buscan una introducción a la programación en Python e interés en ecuaciones lineales o de primer grado

Este curso aborda un tema fundamental (ecuaciones lineales) desde un enfoque práctico

Explora conceptos esenciales de programación, como objetos, sentencias y funciones, lo que lo hace una base sólida para el desarrollo de programas en Python

La metodología basada en proyectos permite a los alumnos aplicar sus conocimientos de inmediato

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Reviews summary

Python fundamental para matemáticas y ciencia

Según los estudiantes, este curso ofrece una excelente introducción a Python, siendo ideal para principiantes y aquellos interesados en aplicar la programación a problemas matemáticos. Se destaca por su enfoque de proyecto práctico, que permite aprender haciendo y construir una aplicación útil. La claridad de las explicaciones del instructor y el uso de cuadernos de Jupyter son puntos fuertemente valorados. No obstante, algunos estudiantes con experiencia previa en programación encuentran el contenido demasiado básico y la cobertura de temas complejos algo limitada.

La integración de Jupyter facilita la práctica y el aprendizaje.

"Los cuadernos de Jupyter son un acierto para practicar."

"Los laboratorios con Jupyter son clave."

"Valoro mucho la oportunidad de ejecutar código y experimentar directamente con los conceptos aprendidos."

Permite aplicar Python a la resolución de problemas matemáticos.

"Muy útil para mis clases de cálculo. Aprendí a automatizar la resolución de ecuaciones de primer grado..."

"La aplicación práctica con ecuaciones es genial."

"Fantástico para entender cómo Python puede aplicarse a problemas matemáticos."

La metodología basada en proyectos es muy efectiva y motivadora.

"El enfoque de proyecto es muy práctico y la explicación es clara."

"Me ha gustado mucho el enfoque del proyecto. Es una forma muy interactiva de aprender Python..."

"Un curso excepcional. La metodología de aprender haciendo es lo mejor. El proyecto final es muy gratificante."

Las explicaciones del profesor son muy claras y fáciles de seguir.

"El profesor explica de maravilla. Los ejercicios son un desafío adecuado."

"Las explicaciones del instructor son excelentes."

"Las explicaciones son claras y el ritmo es adecuado para aprender bien. Los conceptos son explicados de forma sencilla."

Excelente punto de partida para quienes se inician en Python.

"Excelente curso para iniciarse en Python, especialmente si tienes interés en aplicarlo a las matemáticas."

"El curso es bueno para principiantes, te da una base sólida en Python y cómo manejar datos."

"Es una forma muy interactiva de aprender Python desde cero... lo recomiendo a cualquiera que empiece."

Puede ser demasiado básico para estudiantes con experiencia previa.

"Aunque la idea es buena, el curso es demasiado básico si ya tienes alguna experiencia con programación."

"No cumplió mis expectativas. Muy introductorio y la parte de ecuaciones es bastante simple."

"Los materiales a veces son un poco lentos si ya sabes algo, pero para un novato es perfecto."

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 Aprendiendo Python con textos, números y ecuaciones with these activities:

Tutoriales de Introducción a Jupyter

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Seguir tutoriales guiados para familiarizarse con Jupyter y mejorar las habilidades de programación.

Browse courses on Jupyter Notebook

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Completar tutoriales en línea sobre la interfaz y funcionalidad de Jupyter.
Experimentar con bloques de código y explorar funciones básicas.

Organizar y Revisar Materiales del Curso

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Organizar, ampliar y revisar las notas, tareas, cuestionarios y exámenes del curso para mejorar la retención.

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Reunir y ordenar materiales del curso de varias fuentes.
Revisar y resumir notas de clase, diapositivas y lecturas.
Completar tareas y cuestionarios para reforzar la comprensión.

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Career center

Learners who complete Aprendiendo Python con textos, números y ecuaciones will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts may use Python to analyze data and prepare reports for stakeholders. Being able to write Python programs with this course can help you to automate data collection, analysis, and reporting. This can free you to focus on more complex and strategic tasks, and potentially advance your career.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists often use Python to build machine learning models. This course can help you to build a foundation in Python programming, which is a valuable skill for Data Scientists. Additionally, the course covers topics such as data analysis and visualization, which are also important for Data Scientists.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers use Python to build and deploy machine learning models. This course can help you to build a foundation in Python programming, which is a valuable skill for Machine Learning Engineers. Additionally, the course covers topics such as data analysis and visualization, which are also important for Machine Learning Engineers.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers often use Python to develop web applications, mobile applications, and other software products. This course can help you to build a foundation in Python programming, which is a valuable skill for Software Engineers. Additionally, the course covers topics such as data structures and algorithms, which are also important for Software Engineers.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

Quantitative Analysts use Python to analyze financial data and make investment decisions. This course can help you to build a foundation in Python programming, which is a valuable skill for Quantitative Analysts. Additionally, the course covers topics such as data analysis and visualization, which are also important for Quantitative Analysts.

See salaries and explore the career path for Quantitative Analyst

Financial Analyst

Financial Analysts use Python to analyze financial data and make investment recommendations. This course can help you to build a foundation in Python programming, which is a valuable skill for Financial Analysts. Additionally, the course covers topics such as data analysis and visualization, which are also important for Financial Analysts.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use Python to analyze financial data and make risk assessments. This course can help you to build a foundation in Python programming, which is a valuable skill for Actuaries. Additionally, the course covers topics such as data analysis and visualization, which are also important for Actuaries.

See salaries and explore the career path for Actuary

Operations Research Analyst

Operations Research Analysts use Python to analyze data and make recommendations for improving operational efficiency. This course can help you to build a foundation in Python programming, which is a valuable skill for Operations Research Analysts. Additionally, the course covers topics such as data analysis and optimization, which are also important for Operations Research Analysts.

See salaries and explore the career path for Operations Research Analyst

Business Analyst

Business Analysts use Python to analyze data and make recommendations for improving business processes. This course can help you to build a foundation in Python programming, which is a valuable skill for Business Analysts. Additionally, the course covers topics such as data analysis and visualization, which are also important for Business Analysts.

See salaries and explore the career path for Business Analyst

Data Engineer

Data Engineers use Python to build and maintain data pipelines. This course can help you to build a foundation in Python programming, which is a valuable skill for Data Engineers. Additionally, the course covers topics such as data structures and algorithms, which are also important for Data Engineers.

See salaries and explore the career path for Data Engineer

Research Scientist

Research Scientists use Python to analyze data and conduct research. This course can help you to build a foundation in Python programming, which is a valuable skill for Research Scientists. Additionally, the course covers topics such as data analysis and visualization, which are also important for Research Scientists.

See salaries and explore the career path for Research Scientist

Statistician

Statisticians use Python to analyze data and draw conclusions. This course can help you to build a foundation in Python programming, which is a valuable skill for Statisticians. Additionally, the course covers topics such as data analysis and visualization, which are also important for Statisticians.

See salaries and explore the career path for Statistician

Economist

Economists use Python to analyze data and make economic forecasts. This course can help you to build a foundation in Python programming, which is a valuable skill for Economists. Additionally, the course covers topics such as data analysis and visualization, which are also important for Economists.

See salaries and explore the career path for Economist

Mathematician

Mathematicians use Python to solve mathematical problems and develop new theories. This course can help you to build a foundation in Python programming, which is a valuable skill for Mathematicians. Additionally, the course covers topics such as data structures and algorithms, which are also important for Mathematicians.

See salaries and explore the career path for Mathematician

Computer Scientist

Computer Scientists use Python to develop new computer science theories and technologies. This course can help you to build a foundation in Python programming, which is a valuable skill for Computer Scientists. Additionally, the course covers topics such as data structures and algorithms, which are also important for Computer Scientists.

See salaries and explore the career path for Computer Scientist

Reading list

We've selected 11 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 Aprendiendo Python con textos, números y ecuaciones.

Think Java

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Comprehensive introduction to programming in Python. It covers the basics of the language, as well as more advanced topics such as object-oriented programming and data structures. It good resource for beginners who want to learn Python in a structured and logical way.

(English) Think Java: How to Think Like a Computer Scientist

Kindle Edition

Python Crash Course, 2nd Edition

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Fast-paced introduction to Python. It covers the basics of the language, as well as more advanced topics such as object-oriented programming and data analysis. It good resource for beginners who want to learn Python quickly.

Aprendiendo Python con textos, números y ecuaciones

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Reviews summary

Python fundamental para matemáticas y ciencia

Activities

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Reading list

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