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Python courses

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California Institute of Technology Codecademy

Debug Python Code with Generative AI Case Study

Debug Python Code with Generative AI Case Study Generative AI can help you fix bugs, test and simulate code, optimize and improve performance, and much more. This case study will help you develop your skills in using generative AI as a coding tool. Taking the mindset of a developer, you will use best practices for debugging code with an AI syste.
California Institute of Technology Google Cloud Skills Boost

Automate Data Capture at Scale with Document AI

Automate Data Capture at Scale with Document AI Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI quest. In this course, you will learn to extract, process, and capture data using Document AI. A skill badge is an exclusive digital badge issued by Google Cloud. It acknowledges your proficiency.
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California Institute of Technology Treehouse

Build Your Own AI Image Generator

Build Your Own AI Image Generator Join our course to learn how to build your own AI image generator utilizing HTML, CSS, PHP, JavaScript, and Python development skills. Designed for individuals passionate about AI, image generation, and web development, this course provides the essential knowledge and tools to create an AI-powered image generator.
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California Institute of Technology Treehouse

Debugging with ChatGPT

Debugging with ChatGPT Course Title: Debugging with ChatGPT Description: This course teaches learners how to debug effectively using ChatGPT. The learning outcomes include mastering the debugging process, identifying and fixing common bugs in HTML, CSS, PHP, JavaScript, and Python code, and utilizing ChatGPT for debugging assistance. The course c.
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California Institute of Technology Coursera

Software Development with ChatGPT: Generating Code with AI

Software Development with ChatGPT: Generating Code with AI Join our 1-hour project-based course, "Software Development with ChatGPT: Generating Code with AI," to enhance your Python coding skills and delve into AI-assisted programming. This course will guide you through: Setting up a development environment incorporating ChatGPT.
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California Institute of Technology Codecademy

Unit Testing with Generative AI Case Study

Unit Testing with Generative AI Case Study Use generative AI to help create a unit test for Python code. Generative AI can generate unit tests for all functions of a Python class. In this case study, you will develop your skills in using generative AI to assist you in writing unit tests for Python code. We will provide you with a sample Python.
California Institute of Technology Treehouse

Unlocking Learning Potential with ChatGPT

Unlocking Learning Potential with ChatGPT This course aims to help learners unlock their learning potential using ChatGPT. The course teaches various skills such as HTML, CSS, PHP, JavaScript, and Python development. The teaching method involves interactive exercises and practical projects. The intended audience for this course includes individua.
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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 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 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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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!