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Python

aprender a programar

Leonardo Salom Muñoz

4.1

Based on 153 ratings

Leonardo Salom Muñoz

Este curso empieza desde 0 para aprender a programar con Python, tratando los fundamentos de programación como son las variables y constantes, las condiciones, los bucles y los módulos y funciones, para acabar introduciendo el tratamiento de cadenas de texto y los ficheros. De esta forma, al acabar el curso el alumno será capaz de realizar programas útiles a la hora de procesar datos de diversas fuentes para obtener conclusiones

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What's inside

Learning objectives

Qué es un programa y por qué merece la pena aprender a programar, las ventajas del lenguaje python, cómo instalarlo y cómo utilizarlo
La plataforma anaconda, los jupyter labs y el entorno de desarrollo spyder
Las variables, expresiones y operadores lógicos en python
Las distintas formas de ejecución de un programa, secuencial, condicional e iterativa y los comandos python para implementarlas: if, for y while
Las funciones como herramienta para reutilizar código y su extensión, los módulos y los paquetes

Como trabajar con cadenas de texto en python y qué son los códigos de caracteres
Como leer y escribir en ficheros de texto en python y manejar de forma adecuada los códigos de caracteres
Aprenderás los conceptos básicos de programación y a desarrollarlos en el lenguaje python.
Conocerás:

Qué es un programa y por qué merece la pena aprender a programar, las ventajas del lenguaje python, cómo instalarlo y cómo utilizarlo
La plataforma anaconda, los jupyter labs y el entorno de desarrollo spyder
Las variables, expresiones y operadores lógicos en python
Las distintas formas de ejecución de un programa, secuencial, condicional e iterativa y los comandos python para implementarlas: if, for y while
Las funciones como herramienta para reutilizar código y su extensión, los módulos y los paquetes
Como trabajar con cadenas de texto en python y qué son los códigos de caracteres
Como leer y escribir en ficheros de texto en python y manejar de forma adecuada los códigos de caracteres
Aprenderás los conceptos básicos de programación y a desarrollarlos en el lenguaje python.
Conocerás:

Syllabus

Módulo 1. En el módulo reflexionamos sobre las razones para aprender a programar y definimos qué es un programa informático, comentando las razones por las que hemos elegido Python para aprender a programar. Luego veremos una serie de cuestiones prácticas sobre las herramientas a utilizar en el curso, como la navegación por el sistema de directorios, la instalación del entorno Anaconda, el uso del intérprete de Python, qué son los Jupiter notebooks y cómo descargar el material del curso para trabajar en local y cómo usar la interfaz de desarrollo Spyder, para acabar hablando de la estructura de Python y de los tipos de errores que aparecen al programar.

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Desglosa la programación, esencial para el sector, y utiliza Phyton, un lenguaje muy extendido

Enseña conceptos y desarrolla habilidades y competencias básicas para el procesamiento de datos con diversos propósitos

Abarca conceptos y herramientas imprescindibles para el trabajo con datos: variables, operadores lógicos, funciones, cadenas de texto y archivos de texto

Impartido por Leonardo Salom Muñoz, experto con amplia experiencia en programación y procesamiento de datos

Su temario sigue una estructura similar a los cursos de programación básica de instituciones acreditadas

Incluye materiales interactivos y prácticos para el refuerzo de conceptos

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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 Python: aprender a programar with these activities:

Organiza tus notas y recursos de Python

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Mantén tus materiales de aprendizaje organizados para una referencia y revisión fáciles.

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Crea un sistema de archivos o utiliza herramientas de gestión de notas para organizar tus notas de clase, tareas y recursos.
Revisa y actualiza tus notas regularmente para reforzar tu comprensión.

Participa en sesiones de estudio en grupo

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Colabora con otros estudiantes para discutir conceptos, resolver problemas y aprender de las perspectivas de los demás.

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Forma un grupo de estudio con compañeros de clase o únete a un grupo existente.
Reúnanse regularmente para discutir las lecciones, trabajar en tareas y hacerse preguntas.

Crea un pequeño proyecto de Python

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Aplica tus habilidades de Python en un proyecto práctico para solidificar tu comprensión y desarrollar tus habilidades de resolución de problemas.

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Piensa en un proyecto pequeño que te gustaría crear, como un juego simple, un conversor de unidades o un programa de gestión de datos.
Planifica tu proyecto, estableciendo objetivos claros y un cronograma.
Implementa tu proyecto, escribiendo código, depurando errores y probándolo.

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Crea un blog o vlog sobre tus progresos en Python

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Documenta tu viaje de aprendizaje de Python compartiendo tus experiencias, conocimientos y proyectos.

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Crea un blog o vlog donde puedas compartir tus reflexiones, tutoriales y recursos sobre Python.
Publica regularmente entradas o videos que muestren tus avances y conocimientos adquiridos.
Involucra a otros estudiantes o programadores en discusiones y comentarios.

Career center

Learners who complete Python: aprender a programar will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. The course 'Python: Aprender a programar' provides a solid foundation in Python, which is a widely used programming language in the field of data analysis. The course covers topics such as data types, variables, expressions, and control flow, which are essential for writing Python code that can manipulate and analyze data efficiently. Additionally, the course introduces the concept of functions and modules, which are crucial for organizing and reusing Python code in larger projects.

See salaries and explore the career path for Data Analyst

Software Engineer

Software Engineers design, develop, and maintain software systems. Python is a versatile programming language that is used in a wide range of software development projects, from web applications to mobile apps to desktop software. The course 'Python: Aprender a programar' provides a comprehensive introduction to Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation in Python will be valuable for aspiring Software Engineers who want to build a career in software development.

See salaries and explore the career path for Software Engineer

Data Scientist

Data Scientists use scientific methods and techniques to extract knowledge and insights from data. Python is a popular programming language in the field of data science due to its extensive libraries for data manipulation and analysis. The course 'Python: Aprender a programar' provides a solid foundation in Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation will be helpful for aspiring Data Scientists who want to develop the programming skills needed to succeed in this field.

See salaries and explore the career path for Data Scientist

Web Developer

Web Developers design and develop websites and web applications. Python is a popular programming language for web development due to its versatility and the availability of frameworks such as Django and Flask. The course 'Python: Aprender a programar' provides a comprehensive introduction to Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation in Python will be valuable for aspiring Web Developers who want to build a career in web development.

See salaries and explore the career path for Web Developer

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. Python is a popular programming language in the field of machine learning due to its extensive libraries for data manipulation, model training, and model evaluation. The course 'Python: Aprender a programar' provides a solid foundation in Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation will be helpful for aspiring Machine Learning Engineers who want to develop the programming skills needed to succeed in this field.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers design and build data pipelines and infrastructure. Python is a popular programming language in the field of data engineering due to its versatility and the availability of libraries such as Pandas and Scikit-learn. The course 'Python: Aprender a programar' provides a comprehensive introduction to Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation in Python will be valuable for aspiring Data Engineers who want to build a career in data engineering.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. Python is a popular programming language in the field of quantitative finance due to its extensive libraries for data manipulation, analysis, and visualization. The course 'Python: Aprender a programar' provides a solid foundation in Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation will be helpful for aspiring Quantitative Analysts who want to develop the programming skills needed to succeed in this field.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

Business Analysts use data and analysis to help businesses make informed decisions. Python is a popular programming language in the field of business analysis due to its versatility and the availability of libraries such as Pandas and NumPy for data manipulation and analysis. The course 'Python: Aprender a programar' provides a comprehensive introduction to Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation in Python will be valuable for aspiring Business Analysts who want to build a career in business analysis.

See salaries and explore the career path for Business Analyst

Research Analyst

Research Analysts use data and analysis to conduct research and make recommendations. Python is a popular programming language in the field of research due to its versatility and the availability of libraries such as Pandas, NumPy, and Scikit-learn for data manipulation, analysis, and visualization. The course 'Python: Aprender a programar' provides a comprehensive introduction to Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation in Python will be valuable for aspiring Research Analysts who want to build a career in research.

See salaries and explore the career path for Research Analyst

Financial Analyst

Financial Analysts use data and analysis to evaluate investments and make financial recommendations. Python is a popular programming language in the field of finance due to its extensive libraries for data manipulation, analysis, and visualization. The course 'Python: Aprender a programar' provides a solid foundation in Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation will be helpful for aspiring Financial Analysts who want to develop the programming skills needed to succeed in this field.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use mathematical and statistical models to assess risk and uncertainty. Python is a popular programming language in the field of actuarial science due to its extensive libraries for data manipulation, analysis, and visualization. The course 'Python: Aprender a programar' provides a solid foundation in Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation will be helpful for aspiring Actuaries who want to develop the programming skills needed to succeed in this field.

See salaries and explore the career path for Actuary

Biostatistician

Biostatisticians use statistical methods to analyze biological data. Python is a popular programming language in the field of biostatistics due to its extensive libraries for data manipulation, analysis, and visualization. The course 'Python: Aprender a programar' provides a solid foundation in Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation will be helpful for aspiring Biostatisticians who want to develop the programming skills needed to succeed in this field.

See salaries and explore the career path for Biostatistician

Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to improve the efficiency of operations. Python is a popular programming language in the field of operations research due to its extensive libraries for data manipulation, analysis, and optimization. The course 'Python: Aprender a programar' provides a solid foundation in Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation will be helpful for aspiring Operations Research Analysts who want to develop the programming skills needed to succeed in this field.

See salaries and explore the career path for Operations Research Analyst

Software Tester

Software Testers evaluate the quality of software and identify defects. Python is a popular programming language in the field of software testing due to its versatility and the availability of libraries such as Selenium and Pytest for automating tests. The course 'Python: Aprender a programar' provides a comprehensive introduction to Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation in Python will be valuable for aspiring Software Testers who want to build a career in software testing.

See salaries and explore the career path for Software Tester

Data Visualization Specialist

Data Visualization Specialists use visual representations to communicate data and insights. Python is a popular programming language in the field of data visualization due to its extensive libraries for data manipulation, analysis, and visualization. The course 'Python: Aprender a programar' provides a solid foundation in Python, covering topics such as data types, variables, expressions, control flow, functions, and modules. This foundation will be helpful for aspiring Data Visualization Specialists who want to develop the programming skills needed to succeed in this field.

See salaries and explore the career path for Data Visualization Specialist

Reading list

We've selected 15 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 Python: aprender a programar.

Automate the Boring Stuff with Python, 2nd Edition

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Este libro es una guía práctica para aprender Python, cubriendo temas como variables, tipos de datos, estructuras de control, funciones y más. Es una excelente opción para principiantes que desean aprender los conceptos básicos de programación en Python.

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

Python

aprender a programar

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Activities

Career center

Reading list

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