Teaching the Programming language(JAVA, Python, C, JavaScript)

A partir de 23.85 $ /h

### Course Description: Teaching the Programming Languages (JAVA, Python, C, JavaScript)

Welcome to the comprehensive course on Teaching the Programming Languages: JAVA, Python, C, and JavaScript. This course is designed for aspiring programmers and educators who aim to master the fundamentals and advanced concepts of four of the most popular programming languages in the industry.

#### Course Objectives:
- **Introduction to Programming Concepts:** Understand the core principles of programming, including variables, data types, control structures, functions, and algorithms.
- **Language-Specific Syntax and Features:** Gain proficiency in the syntax and unique features of JAVA, Python, C, and JavaScript.
- **Hands-On Coding Practice:** Apply your knowledge through numerous coding exercises, projects, and real-world scenarios.
- **Debugging and Problem-Solving:** Develop strong debugging and problem-solving skills to efficiently resolve coding issues.
- **Advanced Topics:** Explore advanced topics such as object-oriented programming, web development, data structures, and algorithms.
- **Teaching Methodologies:** Learn effective teaching strategies to impart programming knowledge to others, whether in a classroom setting or online.

#### Course Outline:
1. **Introduction to Programming:**
- Basics of programming and computational thinking
- Overview of the four languages: JAVA, Python, C, and JavaScript

2. **JAVA Programming:**
- Syntax and basic constructs
- Object-oriented programming concepts
- Exception handling and multithreading
- Building GUI applications

3. **Python Programming:**
- Syntax and basic constructs
- Data structures and libraries
- Functional programming and modules
- Web development with Flask/Django

4. **C Programming:**
- Syntax and basic constructs
- Memory management and pointers
- File handling and system programming
- Data structures and algorithm implementation

5. **JavaScript Programming:**
- Syntax and basic constructs
- DOM manipulation and event handling
- Asynchronous programming and AJAX
- Front-end frameworks (React, Angular, or Vue.js)

6. **Integrated Projects:**
- Cross-language projects to solidify understanding
- Real-world applications and problem-solving

7. **Teaching Strategies:**
- Curriculum development and lesson planning
- Interactive and engaging teaching methods
- Assessment and feedback techniques

#### Who Should Enroll:
- Aspiring programmers who want to learn multiple programming languages
- Educators and trainers looking to enhance their teaching skills
- Professionals seeking to expand their coding expertise for career advancement

#### Prerequisites:
- Basic understanding of computer operations
- No prior programming experience required, but familiarity with basic programming concepts is beneficial

#### Course Outcomes:
By the end of this course, you will be able to:
- Write, debug, and optimize code in JAVA, Python, C, and JavaScript
- Develop comprehensive projects using each language
- Effectively teach programming concepts to others
- Apply advanced programming techniques to solve complex problems

Join us in this journey to become proficient in four powerful programming languages and enhance your teaching abilities to inspire the next generation of coders.

Información adicional

the laptop is necessary for assignment

Lugar

Conectado desde Canadá

Acerca de mí

Programming with several programming languages, such as C, JAVA, and Python.
Data scientist: extracting knowledge from structured, semi-structured, and unstructured data.
Teach programming languages and data science.
Five years of experience in teaching.

Formación

Ph.D. in Artificial Intelligence Multi-modal from Sidi Mohamed Ben Abdellah University.
Master's degree in Big Data analytics and smart systems, from Sidi Mohamed Ben Abdellah University.
Bachelor's degree in Computer Science and Mathematics from Ibn Zohr University

Experiencia / Calificaciones

Five years of experience in teaching.
Freelancer in several programming projects.

Edad

Niños de preescolar (4-6 años)

Niños (7-12 años)

Adolescentes (13-17 años)

Adultos (18-64 años)

Tercera edad (65+ años)

Nivel del estudiante

Principiante

Intermedio

Avanzado

Duración

60 minutos

120 minutos

La clase se imparte en

inglés

árabe

francés

Habilidades

Java

C - c++

Python

Disponibilidad en una semana típica.

(GMT -04:00)

Nueva York

En línea vía webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

AI and data science (the steps to handle a project)

31 $ /h

Embark on a comprehensive journey through Artificial Intelligence and Data Science with our course, "AI and Data Science: The Steps to Handle a Project." This course is meticulously designed for individuals who aspire to become proficient in managing and executing AI and data science projects from inception to deployment.

#### Course Objectives:
- **Foundational Knowledge:** Understand the core principles of AI and data science, including key concepts, methodologies, and tools.
- **Project Lifecycle Management:** Learn the systematic approach to handling AI and data science projects through each project lifecycle phase.
- **Hands-On Experience:** Gain practical experience through real-world projects and case studies.
- **Advanced Techniques:** Explore advanced techniques and algorithms in AI and data science.
- **Ethical and Responsible AI:** Understand the ethical implications and best practices for responsible AI development and deployment.

#### Course Outline:
1. **Introduction to AI and Data Science:**
- Overview of AI and data science
- Key concepts and terminologies
- Applications and industry use cases

2. **Project Scoping and Planning:**
- Defining the problem statement
- Identifying objectives and success metrics
- Project planning and timeline management

3. **Data Collection and Preprocessing:**
- Data collection methods and sources
- Data cleaning, transformation, and integration
- Exploratory data analysis and visualization

4. **Model Development:**
- Selection of appropriate algorithms and models
- Training, validation, and testing of models
- Hyperparameter tuning and optimization

5. **Model Evaluation and Validation:**
- Evaluation metrics and performance analysis
- Cross-validation techniques
- Model interpretability and explainability

6. **Deployment and Monitoring:**
- Model deployment strategies and tools
- Monitoring and maintaining model performance
- Continuous integration and continuous deployment (CI/CD)

7. **Project Documentation and Presentation:**
- Creating comprehensive project documentation
- Presenting findings and insights to stakeholders
- Effective communication of technical results

8. **Ethics and Best Practices:**
- Ethical considerations in AI and data science
- Ensuring fairness, accountability, and transparency
- Best practices for sustainable and responsible AI

#### Course Outcomes:
By the end of this course, you will be able to:
- Manage and execute AI and data science projects from start to finish
- Collect, preprocess, and analyze data effectively
- Develop, evaluate, and deploy robust AI models
- Communicate insights and results clearly to stakeholders
- Apply ethical and responsible practices in AI development

Join us to master the end-to-end process of handling AI and data science projects and become a proficient practitioner capable of delivering impactful solutions.

Machine Learning with Python and PyTorch: Practical Hands-on Training

28.62 $ /h

Welcome to "Machine Learning with Python and PyTorch: Practical Hands-on Training," a beginner-friendly course designed to introduce you to the exciting world of machine learning using two of the most popular tools in the industry: Python and PyTorch. This course focuses on practical, hands-on learning, ensuring you gain the skills needed to start building your own machine learning models.

#### Course Objectives:
- **Introduction to Machine Learning:** Understand the basic concepts and principles of machine learning.
- **Python Programming for Machine Learning:** Learn Python programming essentials tailored for machine learning applications.
- **PyTorch Fundamentals:** Get acquainted with PyTorch, a powerful and flexible deep learning framework.
- **Practical Experience:** Gain hands-on experience by working on real-world projects and exercises.
- **Model Building and Evaluation:** Learn to build, train, and evaluate various machine learning models.

#### Course Outline:
1. **Introduction to Machine Learning:**
- What is machine learning?
- Types of machine learning: supervised, unsupervised, and reinforcement learning
- Applications of machine learning in different industries

2. **Python Programming Essentials:**
- Introduction to Python programming
- Data structures and libraries (NumPy, Pandas)
- Basic data manipulation and visualization (Matplotlib, Seaborn)

3. **Getting Started with PyTorch:**
- Introduction to PyTorch and its ecosystem
- Setting up your environment and installation
- Understanding tensors and basic tensor operations

4. **Building Your First Machine Learning Model:**
- Data preprocessing and preparation
- Splitting data into training and testing sets
- Building a simple linear regression model with PyTorch

5. **Training and Evaluating Models:**
- Understanding the training process
- Loss functions and optimization algorithms
- Evaluating model performance using metrics

6. **Advanced Models and Techniques:**
- Introduction to neural networks
- Building and training a neural network with PyTorch
- Exploring convolutional neural networks (CNNs) for image classification

7. **Practical Projects and Applications:**
- Hands-on projects to reinforce learning
- Real-world applications and case studies
- Tips and best practices for successful machine learning projects

8. **Next Steps in Your Machine Learning Journey:**
- Exploring further learning resources
- Joining machine learning communities and forums
- Preparing for advanced topics and courses

#### Who Should Enroll:
- Beginners with no prior experience in machine learning
- Individuals interested in learning Python programming
- Aspiring data scientists and machine learning enthusiasts

#### Prerequisites:
- Basic computer literacy and familiarity with high school-level mathematics
- No prior programming or machine learning experience required

#### Course Outcomes:
By the end of this course, you will be able to:
- Understand the fundamental concepts of machine learning
- Write and execute Python code for machine learning tasks
- Use PyTorch to build, train, and evaluate machine learning models
- Apply your knowledge to real-world problems and projects
- Take the next steps in advancing your machine learning skills

Join us in "Machine Learning with Python and PyTorch: Practical Hands-on Training" to embark on your journey into the fascinating world of machine learning. Gain the skills and confidence needed to build and deploy your own models, and start making an impact with machine learning today.

Manoj

4.95

(21)

I am a Professional Full Stack Developer with over 15 years of hands-on experience in software engineering, system design, and artificial intelligence.
I’ve worked across frontend, backend, DevOps, and AI, building enterprise-grade systems for real-world applications — from large-scale microservices to cognitive AI platforms.

I’m passionate about teaching the real, modern way of coding — combining deep technical foundations with today’s most advanced technologies: Generative AI, Agentic systems, RAG architectures, cloud automation, and intelligent DevOps.

Whether you are a beginner exploring your first “Hello World,” a professional improving your stack, or a researcher/developer exploring AI systems, I can guide you step-by-step — conceptually, practically, and strategically.

🧩 What You Will Learn
🖥️ Front-End Development

Master how to build responsive, interactive, and high-performance interfaces:

HTML / HTML5 – Structure, semantics, forms, accessibility

CSS / CSS3 / SCSS – Layout, animations, responsive design, Flexbox, Grid

Bootstrap / Tailwind / Material UI – Rapid design frameworks

JavaScript (ES6+) – Functional programming, event loop, closures, async/await

TypeScript – Strong typing, interfaces, decorators, generics

React.js / Next.js – Components, hooks, state management, routing, APIs

Angular (1.x to 17) – Modules, dependency injection, RxJS, advanced architecture

Vue.js (optional) – Reactive programming, lifecycle management

jQuery / AJAX – Legacy support and backend communication

Web Performance – Lighthouse, Core Web Vitals, PWA, caching strategies

⚙️ Back-End & Enterprise Development

Build scalable, secure, and intelligent server-side systems:

C / C++ / Data Structures / Algorithms / OOPS

Java / J2EE / Spring / Spring Boot / Spring Cloud / Hibernate / Struts / Wicket

Microservices Architecture – API gateway, service registry, inter-service communication

Node.js / Express / NestJS – Modern JavaScript/TypeScript backend

REST & SOAP Web Services – API design, security, documentation (Swagger / Postman)

Python (Flask / FastAPI) – REST APIs, ML pipelines, automation

Shell Scripting (Linux/Unix) – Automation, cron jobs, log parsing, DevOps scripting

PHP / Laravel / CodeIgniter – Classic web backend development

Containerization & Orchestration: Docker, Kubernetes, Helm

CI/CD & Cloud: Jenkins, GitHub Actions, Azure DevOps Pipelines

☁️ Cloud & DevOps Mastery

Learn to build, deploy, and scale applications on the cloud:

AWS (EC2, S3, Lambda, DynamoDB, API Gateway, ECS)

Azure (App Services, Functions, CosmosDB, DevOps)

Google Cloud (GCP, Vertex AI, BigQuery, Cloud Run)

Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus

Infrastructure as Code (IaC): Terraform, AWS CDK, Azure Bicep

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket

CI/CD Pipelines: Build, test, deploy automation, rollback, release management

📱 App Development

Develop mobile and hybrid apps end-to-end:

Android (Java/Kotlin) – UI/UX, activity lifecycle, API integration

Hybrid Frameworks: Ionic, Cordova, React Native

Progressive Web Apps (PWA) – Offline-first, caching, mobile optimization

Firebase Integration: Auth, Firestore, Cloud Messaging

🤖 Artificial Intelligence & Machine Learning

Learn how modern AI systems are built and deployed:

AI Fundamentals: Neural networks, supervised/unsupervised learning

Machine Learning with Python: scikit-learn, TensorFlow, PyTorch

Natural Language Processing (NLP): Transformers, BERT, GPT

Computer Vision: OpenCV, YOLO, Image Classification

AI APIs & Integrations: Google DialogFlow, Azure Cognitive Services, OpenAI API

🧬 Generative AI, RAG & Agentic Systems

Special focus on real-world AI integration and automation:

Generative AI Models (GPT, Claude, Gemini, Llama, Mistral) – Practical implementation

Prompt Engineering – Designing powerful, reusable prompt frameworks

Retrieval-Augmented Generation (RAG) – Hybrid search + generation architectures

Agentic AI Systems – Building autonomous multi-agent workflows (e.g., AutoGPT, CrewAI)

Agentic RAG – Contextual memory, chaining, and reasoning systems

LangChain / LlamaIndex – RAG pipelines, document loaders, embeddings, vector DBs

Vector Databases: Pinecone, Chroma, Weaviate, FAISS

Knowledge Graphs & Context Management – Enterprise data linking with RAG

AI App Deployment: FastAPI + Streamlit + LangServe + Docker

Copilot & AI Tools: GitHub Copilot, ChatGPT API, Code Interpreter, Vertex AI Studio

Google AI Developer Kit (ADK) – Edge AI, TensorFlow Lite, Coral, and model serving

Voice AI & Conversational Design: Dialogflow CX, OpenAI Assistants, ElevenLabs

🔬 Data, Testing & Quality

Database Systems: MySQL, PostgreSQL, MongoDB, Oracle, DB2, Redis

Database Design: ERD, normalization, indexing, performance tuning

Testing Tools: JUnit, Mockito, Selenium, Cypress, Postman

TDD / BDD Practices: Unit, integration, and end-to-end testing

Logging & Monitoring: ELK, Splunk, Prometheus

Performance Optimization: Profiling, caching, concurrency

🧩 Operating Systems & Scripting

Windows / Linux / Ubuntu / Unix Administration

File Systems, Permissions, Networking, Process Management

Shell Scripting / Automation / Log Analysis

System Security and SSH Hardening

🧠 Bonus Topics

Mathematics for Programmers – Logic, combinatorics, probability, graph theory

Game Development Basics: Unity, Phaser.js, HTML5 Canvas

AI Ethics, Data Privacy, Responsible AI Design

Automation Projects & Web Crawling / Scraping: BeautifulSoup, Selenium, Puppeteer

No-Code / Low-Code Integrations: Zapier, Make, AI automations

Matías

4.95

(21)

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

Jose

4.95

(21)

Hello there,

I am a Software Engineer studying master’s degree who has experience in Java, Python, C, Linux, Kubernetes, Docker, Web Development and App Development. I am looking for people who is willing to learn about the aforementioned technologies.

Hope to hear from you soon!

Lina

4.95

(21)

This class is perfect for anyone taking their first steps into computer programming or early-semester engineering students looking to get familiar with Python and C++.

You’ll learn to think like a programmer, create your own programs, and unlock your creativity. Programming is fun, versatile, and practical, helping you apply concepts to real problems and other areas of study.

Jhosimar

4.95

(21)

Master in Computer Science from the State University of Campinas (Brazil) and university professor in Peru. He has participated in the most important Artificial Intelligence conferences including ACL, NeurIPS, ICML, ICLR, KDD, ICCV and CVPR, summer schools such as Machine Learning (MLSS), Deep Learning (DLRL) and Probabilistic ML (ProbAI). He has also participated in various programming contests and has experience preparing interviews for applications to companies such as Google, Meta, Microsoft, among others. He has extensive experience in the areas of Machine Learning and Deep Learning applied mainly to computer vision and natural language processing.

He has experience in teaching, providing illustrative explanations for a better understanding of both the theoretical and practical parts. Some examples of presentations given:

He has also advised students from different countries in their graduation and master's theses, providing them with a theoretical and practical base with examples that they can then use to continue their development.

Some of the things I can help you with:

- Machine Learning: Linear regression, logistic regression, regularization, LDA, QDA, SVMs, decision trees, random forest, boosting, PCA, clustering (K-means, DBSCAN, hierarchical, GMM), neural networks, model selection, metrics evaluation, MLE, Bayesian learning, data preprocessing, etc.

- Deep Learning: Multilayer Perceptron (MLP), backpropagation, activation functions, multiclass classification, optimizers (SGD, Adam, RMSProp, etc.), CNNs, architectures (ResNet, DenseNet, EfficientNet, Siamese, etc.), RNNs, LSTMs, Seq2seq, Attention, Transformers (BERT, GPT, ViT, etc.), autoencoders, generative models (VAE, GAN, Diffusion, etc.), etc.

- Languages: Python, C++
- Libraries and frameworks: PyTorch, Tensorflow, Keras, Huggingface, numpy, pandas, scikit-learn, sympy, etc.

Mauro

4.95

(21)

Este curso está diseñado para personas sin experiencia previa en programación que deseen aprender los fundamentos de la programación utilizando Python, uno de los lenguajes de programación más populares y versátiles en la actualidad.

Durante este curso, explorarás los conceptos básicos de la programación y adquirirás habilidades prácticas para escribir código en Python. Comenzaremos desde cero, cubriendo temas como variables, tipos de datos, operadores, estructuras de control, funciones y manejo de excepciones. A medida que avancemos, aprenderás a resolver problemas y desarrollar algoritmos utilizando Python.

Además de los fundamentos de la programación, este curso también te introducirá a algunas de las características avanzadas de Python, como listas, tuplas, diccionarios y programación orientada a objetos. Aprenderás a utilizar bibliotecas y módulos de Python para realizar tareas específicas y resolver problemas del mundo real.

Este curso se enfoca en la práctica, por lo que trabajarás en una variedad de ejercicios y proyectos a lo largo del curso para aplicar lo que has aprendido. Al final del curso, tendrás una sólida comprensión de los conceptos básicos de la programación y estarás listo para avanzar en tu viaje hacia la programación con Python.

Temas Cubiertos:

Introducción a Python y su entorno de desarrollo
Variables, tipos de datos y operadores
Estructuras de control: if, for, while
Funciones y manejo de excepciones
Listas, tuplas y diccionarios
Programación orientada a objetos en Python
Uso de bibliotecas y módulos de Python
Desarrollo de proyectos prácticos
Requisitos:

No se requiere experiencia previa en programación
Acceso a una computadora con conexión a Internet
Objetivos del Curso:

Familiarizarse con la sintaxis de Python y su entorno de desarrollo
Comprender los conceptos fundamentales de la programación
Desarrollar habilidades prácticas para escribir código en Python
Aplicar los conocimientos adquiridos en proyectos prácticos
Prepararse para cursos más avanzados de Python y desarrollo de software.

Adam

4.95

(21)

Are you a university student 🎓 aiming to pass your programming exams and seeking guidance? 💻

Then these programming lessons are specially curated for you! 🚀

⦿ Specialized support to conquer university assignments 📚 and excel in exams 📝.

⦿ Hands-on learning through live project development 🔧 to bolster your academic achievements 🎯.

⦿ Access to a wealth of learning materials: 📑 slides, 🎥 videos, 📖 tutorials, and supplementary reading resources 📚.

⦿ Patient, friendly, and supportive teaching approach 🤝. My goal is to assist university students in overcoming programming hurdles and achieving success 💡.

Let's pave the way to exam success together 🏆—join these tailored programming lessons for your academic triumph! 🎯🎓

Sammy

4.95

(21)

🐍 Learn Python and Data Science with an experienced instructor.

🖥 I offer customised private lessons for beginners and advanced students.

👨🏻‍🏫 With two years of experience teaching at a public school for data science and data analysis, I will help you understand concepts such as data processing, machine learning and statistical analyses in a practical way.

🤖 Whether you want to improve your programming skills, analyse data efficiently or develop your own machine learning models, the lessons will be tailored to your individual needs.

Brenda

4.95

(21)

Curso online de programación y robótica desde cero.
La programación y la robótica son lenguajes clave del siglo XXI: nos permiten entender, crear y controlar la tecnología que usamos cada día.
Aprende a programar con Python, C++, Matlab, Scratch y Tinkercad y crea proyectos reales con Arduino y ESP32. Clases prácticas, personalizadas y adaptadas a tu nivel. Ideal para jóvenes, adultos autodidactas o docentes que quieran introducirse en la tecnología de forma sencilla y aplicada.

Monica

4.95

(21)

🐍 Programación en Python para Principiantes

¿Querés aprender a programar desde cero y no sabés por dónde empezar?
Este curso/apoyo de Programación en Python para principiantes está pensado para personas sin conocimientos previos, con explicaciones claras, paso a paso y acompañamiento constante.

🔹 Aprenderás:
- Qué es la programación y cómo piensa un programa
- Variables, tipos de datos y operadores
- Condicionales (if, else)
- Bucles (for, while)
- Funciones
- Resolución de problemas reales con Python
- Lectura y escritura de archivos (según nivel)

🔹 ¿Cómo trabajamos?
- Explicaciones simples y prácticas
- Ejercicios guiados y resueltos
- Actividades para practicar solo/a
- Acompañamiento y consultas personalizadas
- Ritmo adaptado a cada alumno/a

📌 Ideal para:
- Estudiantes secundarios o terciarios
- Adultos que quieren iniciarse en programación
- Personas que necesitan apoyo para materias de programación
- Quienes quieren dar sus primeros pasos en tecnología

📌 No necesitás experiencia previa, solo ganas de aprender.

Dani

4.95

(21)

As a programmer and data engineer, I fully understand the academic and professional needs that are crucial for success in all sectors. We can learn everything from the basic syntax necessary to understand a language to advanced concepts such as backtracking and NLP.

Christiam

4.95

(21)

Programacion desde cero en los lenguajes de programacion PYTHON, JAVASCRIPT Y JAVA sin requisitos previos de programacion, no necesitas saber programacion, solamente las ganas de eprender e introducirte al mundo de la programacion con los lenguajes mas utilizados en el mundo.

Marcos

4.95

(21)

Doy clases para estudiantes de FP y Universidad, o cualquiera interesado en el ámbito, y también para personas que quieren aprender programación desde cero o mejorar para trabajar.

📍 Murcia (presencial - consultar disponibilidad) y Online (Zoom/Meet + ejercicios + material)

✅ ¿En qué puedo ayudarte?
- Programación (Java)
- POO y lógica de programación (desde cero)
- Bases de datos SQL (consultas, diseño, modelos relacionales)
- APIs REST / Backend (cómo se hace en empresa)
- Git y control de versiones
- Preparación de exámenes, prácticas y recuperaciones

🎯 Para quién es
- Estudiantes de DAM / DAW / ASIR
- Universidad (asignaturas de programación e informática)
- Personas que quieren entrar a trabajar en desarrollo

🧠 Cómo son las clases
- 100% personalizadas según tu nivel
- Explicación + práctica guiada + ejercicios
- Te doy recursos, ejemplos y seguimiento

Si tienes prácticas, las revisamos juntos y mejoramos el código

⚠️ Importante: no hago trabajos por ti, pero te explico y te guío para que lo saques adelante con tu propio código.

📩 Escríbeme con tu asignatura/temario y tu objetivo y preparo un plan de estudio

Aissa

4.95

(21)

Soy desarrollador web con 5 años de experiencia y ofrezco clases de programación adaptadas a tu nivel, desde iniciación hasta avanzado. Te ayudo a entender los conceptos de forma clara y práctica, trabajando con Java, bases de datos y lógica de programación. Mi objetivo es que realmente comprendas lo que haces y ganes seguridad programando por tu cuenta.

Juan

4.95

(21)

Python es uno de los lenguajes de programación más demandados y versátiles de la actualidad. Se utiliza en desarrollo web, análisis de datos, automatización, inteligencia artificial y muchos otros ámbitos.

He diseñado este curso de Python como una formación práctica y progresiva, adaptada al nivel y objetivos de cada estudiante. Aprenderás desde los fundamentos del lenguaje hasta la creación de pequeños programas reales, entendiendo no solo el “cómo”, sino también el “por qué” de cada concepto.

Durante las clases trabajaremos con ejercicios prácticos y ejemplos reales para que puedas aplicar Python desde el primer día.

Aprenderás, entre otras cosas:

Sintaxis básica de Python

Variables, tipos de datos y operadores

Condicionales y bucles

Funciones y módulos

Manejo de listas, diccionarios y tuplas

Introducción a la programación orientada a objetos

Resolución de problemas y buenas prácticas