Python (Software Engineers and Data Science): From Basics to Mastery
A partir de 31.07 $ /h
Dive into the world of Python, one of the most powerful programming languages for Data Engineers and Data scientists. With hands-on projects, real-world examples, and engaging lessons, you'll not only learn the fundamentals of Python but also gain the confidence to tackle complex programming challenges.
Información adicional
Bring your own laptop
Lugar
Clases en el domicilio del estudiante :
- Alrededor de Bruselas, Bélgica
Conectado desde Bélgica
Acerca de mí
I am a dedicated software engineer with a Master's and Ph.D. in Computer Science from ULB University. With years of experience in both academia and industry, I specialize in helping students understand complex concepts in programming, algorithms, and software development. My teaching approach is student-centered, fostering critical thinking and problem-solving skills tailored to individual learning styles.
Whether you are a beginner looking to write your first line of code or an advanced learner diving into data structures, machine learning, or system design, I am here to guide you every step of the way.
Whether you are a beginner looking to write your first line of code or an advanced learner diving into data structures, machine learning, or system design, I am here to guide you every step of the way.
Formación
- PhD in computer Science from the Université Libre de Bruxelles (ULB), Brussels, Belgium
- Specialized in Big Data Management, Geographical Data Management, Databases, DevOps automation tools.
- Specialized in Big Data Management, Geographical Data Management, Databases, DevOps automation tools.
Experiencia / Calificaciones
Database: SQL Server, PostgreSQL, MySQL
Data Science and Data Engineering tools: Python, GenAI, Data Lake, DBT, Airflow
Big Data tools: Hadoop, Spark
Cloud: AWS and Azure Services
DevOps tools: CI/CD pipelines, GitHub, Docker, Kubernetes,
Data Science and Data Engineering tools: Python, GenAI, Data Lake, DBT, Airflow
Big Data tools: Hadoop, Spark
Cloud: AWS and Azure Services
DevOps tools: CI/CD pipelines, GitHub, Docker, Kubernetes,
Edad
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
La clase se imparte en
inglés
neerlandés
árabe
Habilidades
Comentarios
Disponibilidad en una semana típica.
(GMT -05:00)
Nueva York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments.
Contact me if you want to have more information about the course!
Contact me if you want to have more information about the course!
Whether you are a beginner writing your first lines of code or an advanced learner tackling complex concepts, I tailor lessons to suit your needs. Together, we will focus on practical skills, problem-solving, and real-world projects to make programming intuitive and rewarding. Let’s work together to turn your goals into achievements!
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