Python courses

587 Courses

Master en visión artificial e interfaces graficas | Python

Master en Visión Artificial e Interfaces Gráficas | Python En este curso, aprenderás procesamiento digital de imágenes y visión artificial utilizando el lenguaje de programación Python. Además, te especializarás en la creación de interfaces gráficas con PyQt. Impartido por: Udemy Categorías: Cursos de Python, Cursos d.
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provider Udemy
pricing Paid Course
duration 43 hours
sessions On-Demand

Complete Text-To-Speech Application Development in Python

Complete Text-To-Speech Application Development in Python - Udemy Course Enroll in the "Complete Text-To-Speech Application Development in Python" course on Udemy and learn how to build a full-featured Text-to-Speech application using Python. This course covers everything from the fundamentals of Python to advanced GUI development with tkinter..
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provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Deep Learning Mastery 2024

Deep Learning Mastery 2024 Join the "Deep Learning Mastery 2024" course and master the complete life cycle of a deep learning project. This comprehensive course will guide you through implementing various neural networks using TensorFlow and Keras. Provider: Udemy Categories: Python Courses Machine Learning Courses Deep Learning Courses.
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provider Udemy
pricing Paid Course
duration 4 hours 16 minutes
sessions On-Demand

Detecção de Faces com Python e OpenCV

Detecção de Faces com Python e OpenCV | Udemy Descubra como detectar faces usando Python e OpenCV através de um aprendizado passo a passo. Este curso da Udemy te ensinará a utilizar essas ferramentas tanto para imagens estáticas quanto para capturas pela webcam. Universidade: Udemy Provedor: Udemy Cursos de Inteligência Artificial Cursos.
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provider Udemy
pricing Paid Course
duration 3-4 hours
sessions On-Demand

Exploitez des données textuelles

Bienvenue dans ce cours de traitement du langage naturel ! L’objectif de ce cours est de comprendre les méthodes qui permettent de transformer le texte en features exploitables par des algorithmes de machine learning classiques, et les architectures et modèles qui correspondent le mieux à ce type de données. En l’occurence un ensemble de documen.
provider OpenClassrooms
pricing Free Online Course
duration 12 hours
sessions On-Demand

Classez et segmentez des données visuelles

Classez et segmentez des données visuelles Bienvenue dans le cours de vision par ordinateur ! Dans ce cours, vous allez apprendre à classifier des images à l'aide des algorithmes issus du Machine Learning, en particulier de l'apprentissage supervisé (approche plutôt traditionnelle) et du Deep Learning (approche très moderne). La première partie vo.
provider OpenClassrooms
pricing Free Online Course
duration 15 hours
sessions On-Demand

【Pythonで学ぶ】OpenCVでの画像処理入門

【Pythonで学ぶ】OpenCVでの画像処理入門 【Pythonで学ぶ】OpenCVでの画像処理入門 OpenCVの導入・画像の基礎知識からエッジの検出・特徴抽出、特徴追跡など様々な画像処理を紹介。実践力強化のため、パーティクルフィルターも原理を理解した後、自力で実装します。 大学: Udemy 提供 カテゴリ: Python Courses, Computer Vision Courses, OpenCV Courses
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provider Udemy
pricing Paid Course
duration 5 hours 58 minutes
sessions On-Demand

Deep Learning verstehen: Entwickle Neuronale Netze in Python

Deep Learning verstehen: Entwickle Neuronale Netze in Python
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provider Udemy
pricing Paid Course
duration 9 hours 58 minutes
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!