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Todo sobre proyectos de codificación en Python | 8 proyectos de codificación en Python para niveles intermedios

En esta emocionante clase de proyectos de programación en Python, los estudiantes de nivel intermedio completarán una amplia gama de 8 proyectos prácticos que muestran la versatilidad de la programación en Python.
David Sofield
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Número de reseñas:
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Clase

Qué está incluido

8 reuniones en vivo
8 horas presenciales
Proyectos
1-2 horas por semana. 7 o más durante toda la clase
Evaluación
Students will have the option to work on a project and present this project during a 3 to 5 minute project during the last class.

Experiencia de clase

Nivel de inglés - B2+
Grado de EE. UU. 6 - 9
Nivel Intermediate
Welcome to our 8-week Python Projects Class for intermediate-level students! This course is designed to take your learner's programming skills to the next level by exploring a wide range of exciting applications using Python. Each week, students will dive into a new project that showcases the versatility and power of this popular programming language.
From creating web applications and analyzing data to building games and exploring machine learning, this class offers a comprehensive tour of Python's capabilities. Our hands-on approach ensures that students not only learn new concepts but also apply them to create functional programs. By the end of this course, your learner will have a diverse portfolio of projects and a deeper understanding of how Python can be used to solve real-world problems, setting them up for future success in the world of technology.

The projects in this class are carefully selected to cover various aspects of modern programming. Students will start by building a web scraper to aggregate news headlines, then move on to creating a graphical to-do list application. They'll visualize weather data, develop a personal blog website, and even create a machine learning model to classify flowers. The course also includes practical projects like an automated file organizer and a classic Snake game. Finally, students will work with real-world data by creating a weather forecast app that integrates with a live API. Each project is designed to be both challenging and achievable, providing a sense of accomplishment and a tangible result that students can proudly showcase.
Metas de aprendizaje
This course aims to equip students with practical Python programming skills across various domains, including web development, data analysis, machine learning, and game creation.
Learners will gain proficiency in using popular Python libraries, designing user interfaces, and implementing data visualization techniques.
objetivo de aprendizaje

Programa de estudios

8 Lecciones
más de 8 semanas
Lección 1:
Web Scraping - News Headlines Aggregator
 Students will create a program that collects and displays news headlines from various websites. This project introduces web scraping techniques and working with online data sources. 
60 minutos de lección en vivo en línea
Lección 2:
GUI Development - To-Do List Application
 Learners will build a graphical to-do list application. This project focuses on creating user-friendly interfaces and handling user interactions in desktop applications. 
60 minutos de lección en vivo en línea
Lección 3:
Data Visualization - Weather Data Plotter
 Students will develop a program that reads weather data and creates visual representations. This project emphasizes data manipulation and the creation of informative charts and graphs. 
60 minutos de lección en vivo en línea
Lección 4:
Web Application - Personal Blog
 Participants will construct a simple blog application using a web framework. This project introduces web development concepts and basic database operations. 
60 minutos de lección en vivo en línea

Otros detalles

Orientación para padres
Learners will use Microsoft's Visual Studio Code for this class, which is a free download. Visual Studio Code is available for Windows, Mac, and Linux computers. Students will use the main Python Website (Python.org) and PyPi (pypi.org) as references throughout the class. Open Weather Map will be utilized for our API project using real-time weather data. Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn will be utilized in the latter part of the course for data science and machine learning projects.
Requisitos previos
Leaners need a good understanding of Python foundations including loops, functions, and conditional statements. Learners should have completed the Part 1 and II Python Summer Camps or the 8-week Python Level I Class or similar class.
Lista de útiles escolares
Learners will use Microsoft's Visual Studio Code for this class, which is a free download. Visual Studio Code is available for Windows, Mac, and Linux computers. Students will use the main Python Website (Python.org) and PyPi (pypi.org) as references throughout the class. Open Weather Map will be utilized for our API project using real-time weather data. Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn will be utilized in the latter part of the course for data science and machine learning projects.
Se unió el April, 2020
4.9
787reseñas
Popular
Perfil
Experiencia y certificaciones del docente
Licenciatura desde Mount St. Mary's University
Over 5,000 students from nearly 100 countries across a variety of platforms have started coding in one of my classes. I offer classes covering the foundations of Python and AI. I am the author of the soon-to-be released book All About Python for Kids.  Before teaching, I worked as a software developer for nearly 10 years. I've worked for organizations including Apple, Dell, and Best Buy. I believe the best way to learn is by doing and all my classes are based around hands-on projects that progressively build in difficulty.  I'm a graduate of Mount St. Mary's University in Emmitsburg, Maryland. I can't wait to meet your learner in the class and get started soon. 

Reseñas

Curso grupal en vivo
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32 US$

semanalmente o 250 US$ por 8 clases
1 x por semana, 8 semanas
60 min

Videoconferencias en vivo
Edades: 11-16
6-14 alumnos por clase

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