Python courses

587 Courses

Generative AI for Developers

Generative AI for Developers Generative AI for Developers Unlock the future of coding with generative AI, and excel your programming skills and deepen your understanding of AI’s transformative power. Perfect for you to integrate advanced AI tools into your workflows, with a blend of technical mastery and ethical insight, ensuring you stay at the.
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Python for Business Data Analytics & Intelligence

Title: Python for Business Data Analytics & Intelligence Description: Learn Business Data Analytics from an industry expert by using Python, real-world datasets and cutting-edge tools. Master everything from the fundamentals to expert techniques to get hired as a Business Data Analyst! University: Provider: Zero To Mastery Categories: Pytho.
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مطوّر الواجهة الخلفية من Meta

مطوّر الواجهة الخلفية من Meta - كورسيرا هل أنت مستعد لاكتساب مهارات جديدة والأدوات التي يستخدمها المطورون لإنشاء المواقع والتطبيقات؟ هذه الشهادة المصممة من قبل خبراء هندسة البرمجيات في Meta - مبتكرو فيسبوك وإنستجرام، ستجهزك لمهنة مبتدئة كمطور واجهة خلفية. عند الانتهاء، ستحصل على الوصول إلى لوحة وظائف برامج مهنة Meta، وهي عبارة عن منصة بحث عن وظ.
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Desarrollador back-end de Meta

Desarrollador Back-End de Meta | Coursera Certificate Ready to gain new skills and the tools developers use to create websites and web applications? This certificate, designed by the software engineering experts at Meta—the creators of Facebook and Instagram, will prepare you for an entry-level career as a back-end developer. On comple.
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Work with Gemini Models in BigQuery - Français

Work with Gemini Models in BigQuery - Français Ce cours vous montre comment utiliser des modèles d'intelligence artificielle et de machine learning pour accomplir des tâches d'IA générative dans BigQuery. Grâce à un cas d'utilisation pratique en gestion de la relation client, vous explorerez le workflow nécessaire pour résoudre un problème métier.
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Work with Gemini Models in BigQuery - Bahasa Indonesia

Work with Gemini Models in BigQuery - Bahasa Indonesia Kursus ini menunjukkan cara menggunakan model AI/ML untuk tugas-tugas AI generatif di BigQuery. Melalui kasus penggunaan praktis yang melibatkan pengelolaan hubungan pelanggan (CRM), Anda akan mempelajari alur kerja pemecahan masalah bisnis dengan model Gemini. Untuk memudahkan pemahaman, ku.
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Introduction to ChatGPT Code Interpreter

Introduction to ChatGPT Code Interpreter Unlock the potential of ChatGPT's Code Interpreter tool in this concise course. Delve into aspects of data analysis and machine learning using practical, real-world data. Gain hands-on experience and enhance your coding skills with one of the most advanced AI tools available. Categories: Python Courses, M.
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Developing LLM Apps with LangChain

Learn how to build state-of-the-art LLM-powered applications with LangChain, Pinecone, OpenAI, and Python! Join us as we build together, step-by-step, line-by-line. This will be a true learning-by-doing experience!
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Azure AI Studio First Look

Azure AI Studio First Look Get a quick first look at Azure AI Studio and begin exploring its capabilities. This course is provided by LinkedIn Learning and is ideal for those interested in Artificial Intelligence, Python, Cloud Computing, DALL-E, Image Generation, and OpenAI. University: LinkedIn Learning Categories: Artificial.
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Makine Mühendisleri için Derin Öğrenme

Makine Mühendisleri için Derin Öğrenme Makine Mühendisleri için Derin Öğrenme Bu kapsamlı kurs, makine mühendislerine özel olarak hazırlanmıştır. Veri toplama ve veriyi anlamlı hale getirme süreçlerini öğrenirken, aynı zamanda bu verilerden derin öğrenme modelleri oluşturmayı öğreneceksiniz. Udemy'de sunulan bu kurs, Python, Keras ve diğer popü.
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provider Udemy
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!