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Python courses

587 Courses

California Institute of Technology AWS Skill Builder

AWS ML Visão geral do curso de engenheiro associado (Português) | AWS ML Engineer Associate Curriculum Overview (Portuguese)

Neste curso introdutório à grade curricular de engenheiros de ML associados da AWS, você analisa os conceitos básicos de machine learning (ML) e examina a evolução do machine learning e da IA. Você explora as primeiras etapas do ciclo de vida do ML, identificando uma meta de negócios e formulando um problema de ML com base nessa meta de negócios. F.
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California Institute of Technology AWS Skill Builder

Amazon Q Developer Getting Started (Indonesian)

Amazon Q Developer Getting Started (Indonesian) Amazon Q Developer adalah asisten yang didukung kecerdasan buatan (AI) generatif yang membantu Anda memahami, membangun, memperluas, dan mengoperasikan aplikasi AWS sepanjang siklus pengembangan perangkat lunak. Dalam kursus Getting Started ini, Anda akan belajar tentang manfaat, fitur, kasus pengg.
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California Institute of Technology Udemy

GitHub Copilot - The Complete Guide

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California Institute of Technology Udemy

Data Science Career Path

Data Science Career Path Elevate your career by mastering the art of Data Science with Udemy’s specialized courses. Dive deep into tackling Big Data challenges and unlock the potential of data-driven decision making. Our comprehensive syllabus spans across: Artificial Intelligence Courses Python Courses Machine Learning.
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California Institute of Technology Coursera

Data Science for Professionals

Data Science for Professionals Data science has become indispensable across industries, driving informed decision-making and uncovering valuable insights from data. This course is designed for professionals seeking to leverage data science techniques and tools to extract meaningful information from data and drive organizational success. From dat.
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California Institute of Technology

Complete Machine Learning and Data Science: Zero to Mastery

Complete Machine Learning and Data Science: Zero to Mastery Complete Machine Learning and Data Science: Zero to Mastery Learn Machine Learning (Artificial Intelligence), Python, Data Science, Data Analysis, Tensorflow, Pandas & more. All using the latest in AI! Categories: Artificial Intelligence Courses, Python Courses.
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California Institute of Technology LinkedIn Learning

Develop with Python for AI and Machine Learning

Develop with Python for AI and Machine Learning
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California Institute of Technology AWS Skill Builder

Amazon Q Developer Getting Started (Vietnamese)

Amazon Q Developer Getting Started (Vietnamese) Amazon Q Developer là trợ lý hoạt động trên nền tảng trí tuệ nhân tạo (AI) tạo sinh giúp bạn hiểu, xây dựng, mở rộng và vận hành các ứng dụng AWS trong toàn bộ vòng đời phát triển của phần mềm. Trong khóa học Bắt đầu này, bạn sẽ tìm hiểu về các lợi ích, tính năng, trường hợp sử dụng điển hình, khái n.
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California Institute of Technology LinkedIn Learning

Advanced Python Projects: Build AI Applications

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California Institute of Technology LinkedIn Learning

Hands-On Generative AI with Multi-Agent LangChain: Building Real-World Applications

Hands-On Generative AI with Multi-Agent LangChain: Building Real-World Applications Learn how to build and run dynamic, interactive multiagent simulations using LangChain in this comprehensive course from LinkedIn Learning. This hands-on course will guide you through the exciting world of generative AI and demonstrate how to create real-world a.
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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!