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Todo sobre Python nivel 4 | Clase de Python para niveles intermedios

Este curso avanzado de programación Python de 10 semanas va más allá de la codificación básica y enseña conceptos de desarrollo de software profesional a través de proyectos atractivos como desarrollo de juegos, visualización de algoritmos y aprendizaje automático.
David Sofield
Puntuación media:
4.9
Número de reseñas:
(801)
Popular
Clase

Qué está incluido

10 reuniones en vivo
10 horas presenciales
Tareas
1-2 horas por semana. Students will work on more challenging practice questions that require them to apply everything they learned in Level I & II. These challenges should be expected to take 1- 2 hours per week.
Proyectos
7 o más durante toda la clase
Evaluación
1-2 durante toda la clase
Certificado de finalización
1 después de finalizar la clase

Experiencia de clase

Nivel de inglés - B2+
Grado de EE. UU. 7 - 10
Nivel Intermediate - Advanced
Transform your learners coding interest into real programming expertise with All About Python Advanced Python Programming course. This comprehensive 10-week program goes beyond basic coding to teach professional software development concepts used in industry today. Students will progress from understanding fundamental programming principles to creating their own applications, games, and even basic artificial intelligence systems. Through hands-on projects and interactive learning, students will gain experience with the same tools and techniques used by professional developers at leading tech companies.

The curriculum combines computer science theory with practical application, carefully designed to challenge and engage teenage minds. Students will learn multiple programming approaches, explore algorithm design, create user interfaces, and even dive into machine learning – all while building projects they can proudly share with family and friends. The course emphasizes problem-solving skills and creative thinking, ensuring students not only learn to code but also develop the analytical abilities crucial for future academic and career success in any STEM field.

Projects Portfolio
Students will complete a series of engaging projects, each building upon previous knowledge:

Multi-paradigm Calculator

Interactive calculator with advanced features
Professional error handling
Multiple programming approaches

Text Adventure Game

Character and inventory systems
Game state management
Interactive storytelling elements


Algorithm Visualizer

Visual representation of sorting algorithms
Performance comparison tools
Interactive controls


Pathfinding Game

Maze generation and solving
Visual path-finding algorithms
Performance optimization


Weather Prediction System

Real-time data processing
Basic machine learning implementation
Interactive data visualization


Custom GUI Application

Professional user interface design
Event handling
Data presentation


Final Project (Student's Choice)

Game Development
Data Science Application
Algorithm Visualization Tool
Or student-proposed project


Interactive Groups Build the Foundation of Code Skills

Every learner is strongly encouraged to post questions, sample code, and their projects every step of the way. This gives students the chance to learn from each other and start practicing reading code. The instructor will also be providing feedback and guidance regularly throughout the course.
Metas de aprendizaje
Through hands-on projects including algorithm visualization, game development, and basic machine learning applications, students will develop practical software engineering skills such as project planning, code organization, debugging, and testing.
Students will gain confidence by completing a portfolio of projects that demonstrate their ability to solve problems programmatically, culminating in a final project that showcases their ability to design, implement, and present a software solution.
objetivo de aprendizaje

Programa de estudios

10 Lecciones
más de 10 semanas
Lección 1:
Programming Paradigms Introduction
 Students will explore different approaches to writing code, learning how to choose the right tool for each programming challenge. This foundational week introduces students to various ways of organizing code, setting them up for success in more advanced topics. Through building a multi-functional calculator, students will gain hands-on experience with different programming styles while learning the importance of writing clear, maintainable code. 
60 minutos de lección en vivo en línea
Lección 2:
Object-Oriented Programming Deep Dive
 This week focuses on object-oriented programming (OOP), a powerful way to organize code that's used in many real-world applications, including video games and mobile apps. Students will learn how to create and structure their code like professional developers by building a text-based adventure game. This project-based approach helps students understand complex programming concepts while creating something fun and engaging. 
60 minutos de lección en vivo en línea
Lección 3:
Functional Programming Foundations
 Students will learn functional programming, a modern approach used by companies like Amazon and Facebook to process large amounts of data reliably. By creating data processing systems, students will understand how to write code that's easier to test and debug. This week's skills are particularly valuable for future data science and software engineering careers. 
60 minutos de lección en vivo en línea
Lección 4:
Algorithms in Python
 Students dive into the world of algorithms, learning how computers make decisions and solve problems efficiently. Using interactive visualizations, they'll explore different ways to sort and search through data, gaining skills crucial for computer science studies and coding interviews. This hands-on approach helps students understand complex concepts by seeing them in action. 
60 minutos de lección en vivo en línea

Otros detalles

Orientación para padres
Learners will use the PyCharm Community Edition for this class, which is a free download. PyCharm is available for Windows, Mac, and Linux computers. Students will use the main Python Website (Python.org) as references throughout the class. The NASA API will be utilized for our API project using real science 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
Learners should have a strong grasp of coding fundamentals. This includes conditional statements, functions, loops, and arrays/lists. Learners should have completed comprehensive multi-week beginner level coding class.
Lista de útiles escolares
Students will continue learning more about Python and start exploring a wide variety of projects. Students will also explore more uses for Python, including working with data, interactive graphical user interfaces, and data science.
Se unió el April, 2020
4.9
801reseñas
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
Compartir

33 US$

semanalmente o 329 US$ por 10 clases
1 x por semana, 10 semanas
60 min

Videoconferencias en vivo
Edades: 11-16
6-12 alumnos por clase

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