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Arturo Javier Miguel de Priego Paz Soldán

En la matemática escolar es importante abordar varias perspectivas y técnicas para asimilar los conceptos matemáticos, realizar procedimientos con entendimiento e interpretar los resultados. Por ejemplo, las funciones matemáticas pueden ser estudiadas mediante expresiones algebraicas y trascendentes y representadas en listas, tablas y gráficas.

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En la matemática escolar es importante abordar varias perspectivas y técnicas para asimilar los conceptos matemáticos, realizar procedimientos con entendimiento e interpretar los resultados. Por ejemplo, las funciones matemáticas pueden ser estudiadas mediante expresiones algebraicas y trascendentes y representadas en listas, tablas y gráficas.

  En este proyecto guiado aprenderás a programar interfaces interactivas para explorar tablas de funciones trigonométricas. El proyecto está dirigido a los docentes de la escuela secundaria con conocimientos básicos de programación de computadoras, tales como operaciones aritméticas y sentencias condicionales. Utilizarás el lenguaje Python 3.9 en Jupyter Notebook con interfaces de ipywidgets, arreglos numéricos de Numpy y tablas de pandas para realizar tareas de análisis y de programación mediante guías en vídeos y en un cuaderno de prácticas que incluye enlaces a recursos informáticos y matemáticos. Los vídeos duran aproximadamente una hora y las tareas requieren dedicar alrededor de dos horas. Al finalizar el proyecto estarás en capacidad de programar interfaces básicas para ayudar a los estudiantes a descubrir propiedades y patrones matemáticos en las tablas de funciones trigonométricas.

  Nota: los proyectos guiados de la serie "Explorando/Descubriendo/Tabulando/Graficando funciones ... con Python" contienen varias tareas similares para que puedan ser elegidos independientemente y solo los necesarios.

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What's inside

Syllabus

Visión general del proyecto
En este proyecto guiado aprenderás a programar interfaces interactivas para explorar tablas de funciones trigonométricas. El proyecto está dirigido a los docentes de la escuela secundaria con conocimientos básicos de programación de computadoras, tales como operaciones aritméticas y sentencias condicionales. Utilizarás el lenguaje Python 3.9 en Jupyter Notebook con interfaces de ipywidgets, arreglos numéricos de NumPy y tablas de pandas para realizar tareas de análisis y de programación mediante guías en vídeos y en un cuaderno de prácticas que incluye enlaces a recursos informáticos y matemáticos. Los vídeos duran aproximadamente una hora y las tareas requieren dedicar alrededor de dos horas. Al finalizar el proyecto estarás en capacidad de programar interfaces básicas para ayudar a los estudiantes a descubrir propiedades y patrones matemáticos en las tablas de funciones trigonométricas.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Utiliza interfaces interactivas para explorar tablas con funciones trigonométricas
Enseña a programar interfaces gráficas en Python 3.9
Está dirigido a docentes de secundaria con conocimientos básicos de programación
Implementa librerías como ipywidgets, Numpy y Pandas para la programación
Requiere que los estudiantes tengan conocimientos previos en operaciones aritméticas y sentencias condicionales

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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 Tabulando funciones trigonométricas con Python with these activities:
Review basics of programming
Ensure the understanding of some basic programming skills prior to the course
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  • Review variables and data types
  • Review operators and expressions
  • Review control flow
Revisa el lenguaje de programación para principiantes
Fortalece tu comprensión básica de Python y prepara tus habilidades para el curso.
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  • Sigue tutoriales en línea para aprender los conceptos básicos de Python, como variables, tipos de datos y estructuras de control.
  • Practica escribiendo pequeños programas para aplicar tus conocimientos
Discuss course concepts with peers
Engage in discussions with peers to clarify concepts and exchange perspectives on the course material
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  • Find a study group or online forum
  • Participate in discussions and ask questions
  • Share your own insights and understanding
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Revise basic algebra and trigonometry concepts
Recall and strengthen your foundational knowledge of algebra and trigonometry to facilitate smoother learning in this course.
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  • Review the basics of linear equations and quadratic equations.
  • Familiarize yourself with trigonometric functions (sine, cosine, tangent, etc.) and their properties.
Forma un grupo de estudio con compañeros
Colabora con otros estudiantes para mejorar la comprensión y el trabajo en equipo.
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  • Encuentra compañeros que estén interesados en formar un grupo de estudio.
  • Establece un horario regular para reunirse y estudiar juntos.
  • Discute los conceptos del curso, resuelve problemas y comparte ideas.
Explora las bibliotecas de análisis de datos
Familiarízate con las bibliotecas de propósito especial que se utilizarán en el curso.
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  • Investiga y aprende sobre las capacidades de NumPy y Pandas.
  • Practica usando estas bibliotecas para manipular y analizar datos
Explore interactive interfaces with ipywidgets
Familiarize yourself with the use of ipywidgets to create interactive interfaces for data exploration
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  • Install ipywidgets
  • Create a basic interactive interface
  • Explore different types of widgets
Follow online tutorials on Python basics
Enhance your understanding of Python's fundamental concepts and syntax.
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  • Find reputable online tutorials that cover Python basics.
  • Follow the tutorials step-by-step, practicing the code examples.
Solve practice problems on trigonometric functions
Strengthen your problem-solving skills and deepen your understanding of trigonometric concepts.
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  • Find practice problems and exercises on trigonometry.
  • Solve the problems methodically, applying the relevant trigonometric formulas.
  • Check your answers and identify areas where you need further practice.
Solve problems using Python
Practice solving programming problems relevant to the course
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  • Find a set of practice problems
  • Solve the problems using Python
  • Review your solutions and identify areas for improvement
Contribute to the Jupyter ecosystem
Enhance your understanding of Jupyter and support the community by contributing to its development
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  • Find an open-source project related to Jupyter
  • Identify an area where you can contribute
  • Make a pull request
Create visual representations of trigonometric functions
Develop a deeper intuitive understanding of trigonometric functions by creating visual representations.
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  • Choose a trigonometric function (e.g., sine, cosine, tangent).
  • Use Python or other tools to plot the graph of the function.
  • Analyze the graph, identifying key features and patterns.
Develop a simple interactive tool
Create a simple interactive tool that demonstrates your understanding of the course concepts
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  • Identify a problem or task that can be solved with an interactive tool
  • Design and implement the tool using Python and ipywidgets
  • Test and refine your tool
Organize and review course materials
Maximize your learning by organizing and regularly reviewing the course materials.
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  • Create a system for organizing your notes, assignments, quizzes, and exams.
  • Review the materials regularly to reinforce your understanding.
Contribuye a un proyecto de código abierto relacionado con funciones trigonométricas
Aplica tus habilidades prácticas, colabora con otros y profundiza tu comprensión
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  • Encuentra un proyecto de código abierto relacionado con funciones trigonométricas
  • Revisa el código y familiarízate con el proyecto
  • Identifica un área donde puedas contribuir
  • Realiza los cambios necesarios y envía una solicitud de extracción
Participate in online coding challenges
Challenge yourself and apply your skills by participating in online coding competitions.
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  • Find online coding challenges or competitions related to Python and trigonometry.
  • Participate in the challenges and attempt to solve the problems.

Career center

Learners who complete Tabulando funciones trigonométricas con Python will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use data to solve business problems. This course can help aspiring Data Scientists by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Data Scientists. Additionally, this course can help Data Scientists develop the critical thinking and problem-solving skills that are essential for success in this role.
Machine Learning Engineer
Machine Learning Engineers design and build systems that can learn from data. This course can help aspiring Machine Learning Engineers by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Machine Learning Engineers. Additionally, this course can help Machine Learning Engineers develop the critical thinking and problem-solving skills that are essential for success in this role.
Business Analyst
Business Analysts use data to identify and solve business problems. This course can help aspiring Business Analysts by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Business Analysts. Additionally, this course can help Business Analysts develop the critical thinking and problem-solving skills that are essential for success in this role.
Operations Research Analyst
Operations Research Analysts use mathematical and statistical methods to improve the efficiency of business operations. This course can help aspiring Operations Research Analysts by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Operations Research Analysts. Additionally, this course can help Operations Research Analysts develop the critical thinking and problem-solving skills that are essential for success in this role.
Statistician
Statisticians use mathematical and statistical methods to collect, analyze, and interpret data. This course can help aspiring Statisticians by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Statisticians. Additionally, this course can help Statisticians develop the critical thinking and problem-solving skills that are essential for success in this role.
Data Architect
Data Architects design and build the architecture for data systems. This course can help aspiring Data Architects by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Data Architects. Additionally, this course can help Data Architects develop the critical thinking and problem-solving skills that are essential for success in this role.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help aspiring Software Engineers by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Software Engineers. Additionally, this course can help Software Engineers develop the critical thinking and problem-solving skills that are essential for success in this role.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course can help aspiring Data Analysts by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Data Analysts. Additionally, this course can help Data Analysts develop the critical thinking and problem-solving skills that are essential for success in this role.
Financial Analyst
Financial Analysts use data to make investment recommendations. This course can help aspiring Financial Analysts by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Financial Analysts. Additionally, this course can help Financial Analysts develop the critical thinking and problem-solving skills that are essential for success in this role.
Data Engineer
Data Engineers design and build systems to store and process data. This course can help aspiring Data Engineers by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Data Engineers. Additionally, this course can help Data Engineers develop the critical thinking and problem-solving skills that are essential for success in this role.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical methods to analyze data and make predictions. This course can help aspiring Quantitative Analysts by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Quantitative Analysts. Additionally, this course can help Quantitative Analysts develop the critical thinking and problem-solving skills that are essential for success in this role.
Actuary
Actuaries use mathematical and statistical methods to assess risk. This course can help aspiring Actuaries by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Actuaries. Additionally, this course can help Actuaries develop the critical thinking and problem-solving skills that are essential for success in this role.
Market Research Analyst
Market Research Analysts use data to understand consumer behavior and trends. This course can help aspiring Market Research Analysts by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Market Research Analysts. Additionally, this course can help Market Research Analysts develop the critical thinking and problem-solving skills that are essential for success in this role.
Education Researcher
Education Researchers use data to improve the quality of education. This course can help aspiring Education Researchers by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Education Researchers. Additionally, this course can help Education Researchers develop the critical thinking and problem-solving skills that are essential for success in this role.
Healthcare Analyst
Healthcare Analysts use data to improve the quality and efficiency of healthcare delivery. This course can help aspiring Healthcare Analysts by teaching them the basics of Python programming and data analysis. The course also includes a section on data visualization, which is an important skill for Healthcare Analysts. Additionally, this course can help Healthcare Analysts develop the critical thinking and problem-solving skills that are essential for success in this role.

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 Tabulando funciones trigonométricas con Python.
Un recurso exhaustivo que cubre una amplia gama de funciones matemáticas, incluidas las trigonométricas. Ofrece información detallada sobre sus propiedades, gráficos y aplicaciones.
Un texto muy recomendado que utiliza el círculo unitario como base para comprender las funciones trigonométricas. Su enfoque innovador ayuda a los estudiantes a visualizar y comprender estos conceptos.
Un recurso en línea completo que proporciona información detallada sobre funciones especiales, incluidas las funciones trigonométricas. Ofrece gráficos, fórmulas y aplicaciones prácticas.
Un texto integral que proporciona una base sólida en trigonometría desde una perspectiva del cálculo. Ofrece una cobertura detallada de identidades, funciones y aplicaciones trigonométricas.
Una referencia invaluable para cálculos numéricos, incluida la tabulación de funciones trigonométricas. Proporciona algoritmos eficientes y fiables para diversas tareas relacionadas con las funciones trigonométricas.
Una referencia indispensable que contiene una amplia colección de integrales, series y productos, incluidas funciones trigonométricas. Proporciona soluciones a problemas complejos de integración y evaluación.
Una exploración fascinante de la historia y las aplicaciones de la trigonometría. Proporciona una perspectiva única y atractiva sobre el tema, lo que lo convierte en una lectura complementaria valiosa.
Una colección integral de tablas y fórmulas matemáticas, incluidas las funciones trigonométricas. Ofrece una presentación clara y concisa de información esencial.
Una referencia valiosa que proporciona tablas de valores trigonométricos precisos. Sirve como un complemento útil para el curso, permitiendo a los estudiantes verificar sus resultados y explorar diferentes valores.
Un texto avanzado que cubre temas más allá del alcance del curso, como funciones trigonométricas inversas y series infinitas. Proporciona una base sólida para aquellos que buscan profundizar sus conocimientos.

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