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Python courses

937 Courses

California Institute of Technology

Python pour le Deep Learning & le Machine Learning: A à Z

Python pour le Deep Learning & le Machine Learning: A à Z Plongez dans l'univers fascinant du Machine Learning avec notre cours complet Python pour le Deep Learning & le Machine Learning: A à Z. Ce programme détaillé vous guidera à travers les bases et les avancées nécessaires pour maîtriser l'intelligence artificielle, les outils TensorFlow, et.
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California Institute of Technology Udemy

Learn Machine Learning Course with Python A to Z

Learn Machine Learning Course with Python A to Z Course Title: Learn Machine Learning Course with Python A to Z Description: Gain a solid understanding of machine learning concepts, algorithms, and applications in various fields. This comprehensive course offered by Udemy equips you with the skills needed to excel in the exciting field of machin.
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California Institute of Technology Coursera

IBM Data Engineering

IBM Data Engineering Prepare for a career in the high-growth field of data engineering. In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months. Data engineering involves building systems to gather, process, and organize raw data into usable information, and manage it effectively. The f.
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California Institute of Technology Udemy

Derin Öğrenme ile Görüntü İşleme: Python OpenCV Keras (Gİ-2)

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California Institute of Technology Udemy

画像処理の基礎：フィルタリング，パターン認識から撮像過程モデルまで

画像処理の基礎：フィルタリング、パターン認識から撮像過程モデルまで 画像処理の基礎：フィルタリング、パターン認識から撮像過程モデルまで Scikit-image, OpenCV, PIL, ScipyなどのPythonモジュールを駆使して画像処理を体験してみよう。 提供：Udemy カテゴリー：Python Courses, OpenCV Courses
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California Institute of Technology Udemy

NLP. Procesamiento del lenguaje natural con NLP y Python

NLP: Procesamiento del Lenguaje Natural con NLP y Python | Udemy Aprende a usar Machine Learning, Scikit-learn, Spacy y NLTK para procesar textos de ficheros y documentos con NLP. Este curso te ofrece habilidades prácticas y conocimientos fundamentales para dominar el Procesamiento del Lenguaje Natural con Python. University: Udemy Python Cour.
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California Institute of Technology Udemy

LangChain with Python Bootcamp

LangChain with Python Bootcamp Join the LangChain with Python Bootcamp and learn how to build real-world applications using Large Language Models and LangChain! This course, provided by Udemy, is perfect for anyone looking to enhance their Python skills and apply them to innovative technologies. Categories: Python Courses, LangChain Courses
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California Institute of Technology Udemy

Optical Character Recognition (OCR) MasterClass in Python

Optical Character Recognition (OCR) MasterClass in Python Enroll in the OCR MasterClass in Python offered by Udemy and master the art of Optical Character Recognition. This comprehensive course covers essential tools and technologies such as OpenCV, Pytesseract, Pillow, and Machine Learning techniques, ensuring you gain practical and in-depth kn.
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California Institute of Technology University of Naples Federico II

Foundations of Local Large Language models

Course Title: Foundations of Local Large Language Models Description: By the end of this course, learners will have a solid understanding of Large Language Models running locally. You'll be able to set up a local environment using powerful tools to run different LLMs and interact with them both with a web interface as well as APIs. You will expl.
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California Institute of Technology edX

Developing Generative AI Applications with Python

Developing Generative AI Applications with Python Generative AI modeling is an in-demand skill for AI model development. Employers now expect generative AI skills to be on an AI engineer’s resume. This hands-on course, which is also part of the IBM AI Applied Professional Certificate, will help you build the generative AI skills you need to stan.
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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!