Python courses

937 Courses

Data Analyst in Python, Tableau, SQL & ChatGPT with Projects

Enhance your data analytics skills with this all-encompassing 4 in 1 bundle course. Dive into the world of Python, SQL, and ChatGPT, and embark on hands-on projects designed to set you apart in the field. This course is perfect for those looking to prepare for the Tableau Data Analyst Certification. Course Highlights: Master data analysis usi.
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GenerativeAI: GPT, Function calling, Whisper, LangChain

GenerativeAI: GPT, Function Calling, Whisper, LangChain - Hands-On Projects Discover the power of Generative AI with our comprehensive course focusing on GPT, Function Calling, Whisper, and LangChain. Dive into hands-on projects using JavaScript and Python that will kickstart your journey in Conversational AI, Speech-to-text, Function.
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2024 Mastering dbt (Data Build Tool) - From Beginner to Pro

2024 Mastering dbt (Data Build Tool) - From Beginner to Pro | Analytics Engineering Bootcamp Unlock your potential in analytics engineering with our 2024 Mastering dbt (Data Build Tool) - From Beginner to Pro bootcamp. This immersive course offers hands-on experience and covers everything from the basic theory to advanced practical skills. Our.
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AI Application Development with OpenAI, ChatGPT, and Python

Learn to develop AI applications like a pro with our comprehensive course on AI Application Development using OpenAI, ChatGPT, and Python. This course is offered by Udemy and is perfect for those looking to enhance their skills in AI app development. This course covers: OpenAI API Integration Prompt Engineering Function Calling.
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The Ultimate Beginners Guide to Python Virtual Assistants

Provider: Udemy Embark on a journey to create your own Python-powered virtual assistant. This comprehensive guide is tailored for beginners eager to delve into the world of speech recognition and voice synthesis. Enhance your skills with practical, step-by-step instructions. Categories: Python Courses, Machine Learning Courses, TensorFlow Cours.
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ChatGPT for Data Science and Machine Learning

Discover how to effectively utilize ChatGPT to boost your Data Science and Machine Learning workflows in this comprehensive course offered by Udemy. Perfect for students and professionals aiming to fortify their expertise in Data Analysis, AI, and more. Enroll now to explore cutting-edge techniques in Python and unravel the power of data visu.
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Learn Google's Gemini and Anthropic's Claude API with Python

Explore the world of advanced artificial intelligence with our comprehensive course on Udemy, "Learn Google's Gemini and Anthropic's Claude API with Python." This course is designed to empower you with the skills to develop groundbreaking applications using the powerful Google Gemini 1.5 and Anthropic Claude 3 large language models (LLMs). Th.
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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!