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Estructuras de datos en Python

Agustin Olmedo

4.6

Based on 418 ratings

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Agustin Olmedo

Este curso te dará ágil acceso a las estructuras de datos principales del lenguaje de programación Python en su versión 3.0.

Una vez que termines este curso tendrás un conocimiento general de Python, que te permitirá realizar programas que trabajen con muchos datos tomados desde archivos de la computadora. Aquí podrás conocer cómo utilizar las estructuras de datos integradas en Python, como las listas, los diccionarios y las tuplas. Además entenderás cómo trabajar con archivos y el manejo de excepciones.

Este curso te dará ágil acceso a las estructuras de datos principales del lenguaje de programación Python en su versión 3.0.

Como se trata del segundo curso dentro de un programa especializado, se requiere tener conocimientos de los conceptos básicos de programación y saber escribir y ejecutar scripts de Python.

Este curso cubrirá las secciones 6-9 del libro de texto “El Tutorial de Python” de Guido Van Rossum, el creador de Python.

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Syllabus

Cadena de caracteres o Strings

En este módulo abordaremos los siguientes contenidos: Primero trabajaremos con los strings (o cadenas de caracteres), manipulando los strings. Además, veremos los métodos que define el tipo string. Luego trabajaremos con la librería string que forma parte de la biblioteca estándar de Python. Finalmente, aprenderemos a utilizar la librería datetime, para trabajar con fechas, horas y fechas y horas dentro del programa.

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Perfecto para principiantes que buscan una base en las estructuras de datos de Python

Aborda conceptos fundamentales como cadenas, archivos, listas, diccionarios y tuplas, proporcionando una amplia comprensión de las estructuras de datos de Python

Fortalece las habilidades esenciales para el procesamiento y manejo de datos en Python

Requiere conocimientos previos de conceptos básicos de programación y scripts de Python, lo que puede limitar su accesibilidad para principiantes absolutos

Cubre contenido de secciones específicas del libro de texto oficial de Python, lo que garantiza la alineación con el estándar de la industria

Impartido por Agustín Olmedo, un instructor experimentado en Python

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Reviews summary

Estructuras de datos fundamentales en python

Según los estudiantes, este curso proporciona una base sólida y práctica para comprender las estructuras de datos esenciales de Python. Muchos elogian las explicaciones claras y los ejemplos que facilitan la aplicación de conceptos como listas, diccionarios y manejo de archivos. Se considera un curso muy recomendable para quienes ya tienen nociones básicas de programación en Python y desean profundizar en estas áreas fundamentales.

Necesitas conocimientos básicos de Python.

"Es importante tener conocimientos previos de Python para seguir el ritmo."

"Como se menciona, no es para principiantes absolutos, necesitas saber lo básico."

"Si vienes sin saber programar, te costará un poco seguir los ejercicios."

Cubre temas esenciales y muy útiles.

"Las estructuras de datos y el manejo de archivos son temas cruciales que cubre bien."

"El contenido del curso es muy relevante para cualquier programador de Python."

"Abarca justo lo necesario para empezar a manejar datos de forma eficiente."

Ayuda a consolidar conocimientos base.

"Este curso me dio una base muy firme en el manejo de las estructuras de datos."

"Excelente para afianzar los conocimientos sobre listas, diccionarios y tuplas."

"Siento que ahora entiendo mucho mejor cómo trabajar con diferentes tipos de datos en Python."

Contenido bien explicado, fácil de seguir.

"El profesor explica los temas con mucha claridad, usando ejemplos prácticos."

"Las explicaciones fueron muy buenas y sencillas de entender."

"Me gustó la claridad de las explicaciones, se entiende todo a la primera."

Falta un poco de detalle en algunos temas.

"Me hubiera gustado ver más ejemplos o casos de uso avanzados para diccionarios."

"Quizás podría profundizar un poco más en generadores o decoradores."

"Siento que algunos temas se tocaron de forma un poco superficial."

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Gather Resources on Python Data Structures

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Identify and collect reliable online resources such as tutorials, articles, and books.
Organize the resources in a structured manner, such as by data structure type or topic.

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Reinforce your understanding of Python basics by reviewing the fundamentals of the language.

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Go over the basics of Python syntax, including variables, data types, and operators.
Practice writing simple Python scripts to get familiar with the language.

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Expand your knowledge of Python data structures by following guided tutorials that cover different data structures and their applications.

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Follow the tutorials step-by-step and practice the concepts discussed.
Experiment with different data structures to understand their strengths and weaknesses.

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Identify the key concepts and relationships between different data structures.
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Deepen your understanding of data structures by solving practice exercises and coding challenges that involve manipulating and using data structures.

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Solve the exercises and debug your code to improve your problem-solving skills.
Analyze the performance and efficiency of different data structures for specific tasks.

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Design and implement the project using appropriate data structures.
Test and debug your code to ensure its functionality and efficiency.

Career center

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

Data Scientist

Data Scientists use their programming skills to analyze large datasets and extract meaningful insights. The course on Data Structures in Python will provide you with a solid foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Data Scientist.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and maintain software systems. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Software Engineer.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts use their skills in programming and data analysis to help businesses make better decisions. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Data Analyst.

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Web Developer

Web Developers design and develop websites and web applications. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Web Developer.

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Database Administrator

Database Administrators are responsible for the maintenance and performance of databases. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Database Administrator.

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Business Analyst

Business Analysts use their skills in data analysis and problem-solving to help businesses improve their operations. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Business Analyst.

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Product Manager

Product Managers are responsible for the development and launch of new products. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Product Manager.

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Project Manager

Project Managers are responsible for the planning, execution, and delivery of projects. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Project Manager.

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Systems Analyst

Systems Analysts are responsible for the analysis, design, and implementation of computer systems. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Systems Analyst.

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Technical Writer

Technical Writers are responsible for creating documentation for software and hardware products. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your writing skills, which are essential for working as a Technical Writer.

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Computer Programmer

Computer Programmers write and maintain code for software and hardware products. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Computer Programmer.

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Computer Scientist

Computer Scientists research and develop new computer technologies. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Computer Scientist.

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Data Engineer

Data Engineers design and build systems for storing and processing large amounts of data. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Data Engineer.

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Machine Learning Engineer

Machine Learning Engineers design and build systems for training and deploying machine learning models. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Machine Learning Engineer.

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Statistician

Statisticians collect, analyze, and interpret data. The course on Data Structures in Python will provide you with a strong foundation in Python programming, which is essential for success in this field. You will learn how to work with different data structures, such as lists, dictionaries, and tuples, and you will gain experience in manipulating and analyzing data. This course will also help you develop your problem-solving skills, which are essential for working as a Statistician.

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Reading list

We've selected 14 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 en Python.

Python Pocket Reference

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Este libro es una opción completa para aquellos que buscan una referencia integral sobre Python. Cubre una amplia gama de temas, desde los conceptos básicos del lenguaje hasta temas avanzados como programación concurrente y desarrollo de extensiones. Es adecuado tanto para principiantes como para programadores experimentados.

Estructuras de datos en Python

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What's inside

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Reviews summary

Estructuras de datos fundamentales en python

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