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Python courses

937 Courses

California Institute of Technology Udacity

AI Programming with Python

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California Institute of Technology Udacity

AI for Trading

AI for Trading | Udacity Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio. University: Provider: Udacity Categories: Artificial Intelligence Courses Python Courses Machine Learning Courses.
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California Institute of Technology Coursera

Work with Gemini Models in BigQuery - 日本語版

Gemini モデルを使用した BigQuery 作業 - 日本語版 このコースでは、BigQueryで生成型AI作業にAI/MLモデルを使用する方法を紹介します。顧客関係管理に関連する実際の使用事例を通じて、Geminiモデルを使用してビジネス問題を解決するワークフローを解説します。理解を深めるために、SQLクエリとPythonノートブックを使用したコードソリューションを詳細に案内します。
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California Institute of Technology Coursera

Work with Gemini Models in BigQuery - 简体中文

Work with Gemini Models in BigQuery - 简体中文 이 과정은 BigQuery에서 생성형 AI 작업에 AI/ML 모델을 사용하는 방법을 보여줍니다. 고객 관계 관리와 관련된 실제 사용 사례를 통해 Gemini 모델로 비즈니스 문제를 해결하는 워크플로를 설명합니다. 이해를 돕기 위해 SQL 쿼리와 Python 노트북을 사용하는 코딩 솔루션을 단계별로 안내합니다. University: Provider:.
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California Institute of Technology Coursera

Work with Gemini Models in BigQuery - Español

Trabaja con Modelos de Gemini en BigQuery - Español En este curso, se muestra cómo usar modelos de IA/AA para tareas de IA generativa en BigQuery. A través de un caso de uso práctico relacionado con la administración de relaciones con clientes, conocerás el flujo de trabajo para solucionar un problema empresarial con modelos de Gemini. Para fac.
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California Institute of Technology Coursera

Work with Gemini Models in BigQuery - 한국어

Work with Gemini Models in BigQuery - 한국어 이 과정은 BigQuery에서 생성형 AI 작업에 AI/ML 모델을 사용하는 방법을 보여줍니다. 고객 관계 관리와 관련된 실제 사용 사례를 통해 Gemini 모델로 비즈니스 문제를 해결하는 워크플로를 설명합니다. 이해를 돕기 위해 SQL 쿼리와 Python 노트북을 사용하는 코딩 솔루션을 단계별로 안내합니다. 제공자: Coursera 카테고.
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California Institute of Technology Udacity

Artificial Intelligence

Artificial Intelligence Course by Udacity | Expert AI Training Enroll in Udacity's Artificial Intelligence course and master the fundamental principles of AI. Delve into the intricacies of machine learning, neural networks, and advanced algorithms. This course is designed to equip you with the skills to solve real-world problems using AI tech.
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California Institute of Technology Coursera

Recommender Systems with Machine Learning

Recommender Systems with Machine Learning This course starts with the theoretical concepts and fundamental knowledge of recommender systems, covering essential taxonomies. You'll learn to use Python to evaluate datasets based on user ratings, choices, genres, and release years. Practical approaches will help you bui.
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California Institute of Technology AWS Skill Builder

Introducción a Amazon Q Developer (Español LATAM) | Amazon Q Developer Getting Started (LATAM Spanish)

Amazon Q Developer es un asistente con tecnología de inteligencia artificial (IA) generativa que ayuda a comprender, crear, ampliar y operar las aplicaciones de AWS durante todo el ciclo de vida del desarrollo de software. En este curso introductorio, conocerá los beneficios, las características, los casos prácticos típicos, los conceptos técni.
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California Institute of Technology AWS Skill Builder

Conceitos básicos do Amazon Q Developer (Português) | Amazon Q Developer Getting Started (Portuguese)

Conceitos básicos do Amazon Q Developer (Português) | Amazon Q Developer Getting Started (Portuguese) O Amazon Q Developer é um assistente baseado em inteligência artificial (IA) generativa que ajuda você a entender, criar, estender e operar aplicações da AWS em todo o ciclo de vida do desenvolvimento de software. Neste curso introdutório, você ap.
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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!