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California Institute of Technology Udemy

Fórmate como Developer: Programación y código en Python

Fórmate como Developer: Programación y código en Python - Udemy Course Fórmate como Developer: Programación y código en Python Conoce, entiende y lleva a la práctica los aspectos de la programación de sistemas usando Python 3 para problemas reales. Este curso es ofrecido por Udemy y está dentro de las Categorías: Python Courses.
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provider Udemy
pricing Paid Course
duration 7 hours 38 minutes
sessions On-Demand
California Institute of Technology

Amazon SageMaker: Build an Object Detection Model Using Images Labeled with Ground Truth (Spanish)

En este curso, nos encontraremos con el Dr. Denis Batalov, líder en tecnología de inteligencia artificial y aprendizaje automático a nivel mundial, quien le enseñará a implementar una canalización de aprendizaje automático mediante el uso de Amazon SageMaker y Amazon SageMaker Ground Truth. En primer lugar, creará un conjunto de datos etiquetado,.
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California Institute of Technology Udemy

Redes Neurais Artificiais em Python

Redes Neurais Artificiais em Python | Udemy Aprenda na teoria e na prática os fundamentos das redes neurais em Python e entre para o mundo do Deep Learning com nosso curso completo oferecido pela Udemy! Categories: Python Courses, Deep Learning Courses, scikit-learn Courses, NumPy Courses, Gradient Descent Courses
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provider Udemy
pricing Paid Course
duration 8 hours 15 minutes
sessions On-Demand
California Institute of Technology Udemy

Python für Data Science, Machine Learning & Visualization

Python für Data Science, Machine Learning & Visualisierung | Udemy Entdecken Sie die Welt von Data Science, Machine Learning und Datenvisualisierung mit Python! Dieser umfassende Kurs auf Udemy bietet Ihnen alle Werkzeuge, die Sie brauchen, um Datenanalysen durchzuführen und Ihre Kenntnisse im Bereich Machine Learning zu erweitern. L.
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provider Udemy
pricing Paid Course
duration 1 day 5 hours 18 minutes
sessions On-Demand
California Institute of Technology Udemy

Python - Aprenda os fundamentos

Python - Aprenda os Fundamentos Curso: Python - Aprenda os Fundamentos Descrição: Visão geral da linguagem com suas principais funcionalidades, facilidades e aplicações. Universidade: Udemy Categorias: Python Courses
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provider Udemy
pricing Free Online Course
duration 4 hours 52 minutes
sessions On-Demand
California Institute of Technology Udemy

Curso de Python 3.9 | Aprende el lenguaje del futuro

Curso de Python 3.9 | Aprende el lenguaje del futuro Aprende Python3 desde cero, aun sin saber nada de programación. University: Provider: Udemy. Categorías: Python Courses, Software Development Courses, Object-oriented programming Courses
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provider Udemy
pricing Paid Course
duration 4-5 hours
sessions On-Demand
California Institute of Technology Udemy

Python para no matemáticos: De 0 hasta reconocimiento facial

Python para no matemáticos: De 0 hasta reconocimiento facial - Udemy Inscríbete en el curso "Python para no matemáticos: De 0 hasta reconocimiento facial" en Udemy. Este curso está diseñado para principiantes y te enseñará Python con aplicaciones prácticas en el reconocimiento facial. Ideal para aquellos sin conocimientos avanzados en mate.
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provider Udemy
pricing Paid Course
duration 8 hours 20 minutes
sessions On-Demand
California Institute of Technology Udemy

Análisis de redes y seguridad con Python

Análisis de Redes y Seguridad con Python | Udemy Únete al curso Análisis de Redes y Seguridad con Python en Udemy y adquiere habilidades avanzadas en manipulación y análisis de paquetes de red. Este curso está diseñado para aquellos interesados en profundizar su conocimiento en Python y seguridad ética, brindando técnicas prácticas y herramient.
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provider Udemy
pricing Paid Course
duration 6 hours 35 minutes
sessions On-Demand
California Institute of Technology Udemy

Programação Python do Zero ao Avançado + Projetos Reais 2024

Programação Python do Zero ao Avançado + Projetos Reais 2024 Atualizado com a última versão Python 3.11. Aprenda ciência de dados, automação, crie sites, jogos e aplicativos. University: Provider: Udemy Categories: Python Courses, Data Analysis Courses, Data Visualization Courses, Object-oriented progr.
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provider Udemy
pricing Paid Course
duration 19 hours 47 minutes
sessions On-Demand
California Institute of Technology Coursera

Utilisation des méthodes de Deep Learning avec Python pour la prédiction boursière.

Utilisation des méthodes de Deep Learning avec Python pour la prédiction boursière A la fin de ce projet, vous serez en mesure de : Créer une application Web connectée à Yahoo Finance pour prédire la tendance de plusieurs actions boursières. Déployer une Application Web de Deep Learning à l’aide de Streamlit. Implémenter un réseau.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand

Your speed of mastering the profession and success in this matter largely depends on which programming language you start learning first. How to choose it? Let's answer using a python ai course as an example.

What criteria should you use to choose your first language?

For learning to progress quickly, the programming language must have a simple syntax. It is desirable that it be high-level and flexible - then you can experiment with different options for solving the same problem.

Of course, it cannot be said that the choice of the first language always determines how successful the student’s future career path will be. But it can have a powerful impact on professional development as well as self-learning skills.

Even if we talk about spoken languages, you’ve probably heard the statement that the language a person speaks determines his thinking: “the number of languages you know, the number of times you are human.” This statement is also relevant for programming. Note that this skill is often described as an effective tool for developing thinking that teaches people to solve problems well.

When choosing the first language, the following criteria are also taken into account:

It’s difficult to name an ideal programming language to learn as a first language, but Python definitely meets most of the listed criteria, which means it can be safely recommended to beginners.

Scope of Python

Scripting languages are rapidly gaining popularity these days. They are already used to write software even more often than traditional system ones. Python is compatible with all major operating systems and platforms. You will learn this information at a python course. It is actively used in science, web development, Machine Learning, game creation, complex visual effects, and more.

Community, technical documentation

The Python language has gathered a large community of developers from all over the world who are engaged not only in its study, but also in its development. The documentation base related to Python is extensive and well-developed, so even a beginner will not have much difficulty finding answers to almost all questions that arise. He also has enough standard libraries for all occasions, and there are even more open-source repositories.

Simplicity

Because Python has a simple syntax, its code is easy to read and understand. Statements are terminated by the end of the line, and the block structure is determined by indentation.

Among the features of Python, it is worth highlighting the use of indentations that delimit blocks of code. Correct formatting is ensured by the interpreter, which prevents the creation of unreadable code. So if in other programming languages indentation is a “handwriting” and an art, then in Python it is one of the components of the syntax.

Python Strengths and Weaknesses

We have already noted above some of the advantages of a python certification course, now we propose to compare them with the disadvantages in order to objectively evaluate the language as the first one to learn.

Pluses

  1. Easy to learn.

  2. Laconic.

  3. Easy and understandable syntax.

  4. Interpretability.

  5. Wide scope of use.

  6. Demand.

  7. Dynamic typing.

  8. A large number of libraries.

  9. Lots of technical documentation and training materials.

  10. Cross-platform.

Minuses

  1. Slow program execution speed: Because dynamically typed languages execute code line by line, this makes it difficult to develop software that requires high performance. However, the programmer's productivity increases, which can be considered a kind of compensation.

  2. Programs written in Python require a lot of memory.

  3. Because there is no check during compilation, errors sometimes occur when executing the code. Because of this, very high-quality testing is required before production launch.

Conclusion

Python is a clear, easy-to-learn, universal, in-demand and promising language. Despite the presence of certain disadvantages, its advantages significantly outweigh all the disadvantages, especially when it comes to novice programmers. That's why a python online course from AI Eeducation is a great choice to start your IT career!