Python courses

937 Courses

Machine Learning and Artificial Intelligence in Power BI

Machine Learning and Artificial Intelligence in Power BI | Udemy Course Join our comprehensive course on Udemy to explore the fusion of Machine Learning and Artificial Intelligence with Power BI. Guided by seasoned Power BI instructors, you will undertake hands-on projects that bolster your understanding and application of these advanced te.
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The Complete Artificial Intelligence for Cyber Security 2024

Explore the cutting-edge course, The Complete Artificial Intelligence for Cyber Security 2024, and unlock the potential of AI in the realm of cybersecurity. This comprehensive program, provided by Udemy, combines the disciplines of Data Science, Machine Learning, and Deep Learning to equip you with the skills needed to create powerful AI-driv.
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Microsoft Applied Skills: Azure AI Document Intelligence

Microsoft Applied Skills: Azure AI Document Intelligence - APL-3002 Join the APL-3002 course, Microsoft Applied Skills: Azure AI Document Intelligence, and enhance your expertise in the world of AI-driven document processing. Offered by Udemy, this course empowers you to proficiently utilize the Azure portal, Python, and C# to pe.
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Python Programming with AI for Business Intelligence

Join our comprehensive online course, "Python Programming with AI for Business Intelligence," hosted by Udemy. Enhance your proficiency in essential Python libraries such as Pandas, NumPy, Matplotlib, and Statmodels. Gain the expertise to transform data analytics into actionable business intelligence and make strategic decisions with ease. Un.
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Create a Text Completion ChatGPT A.I. Bot With Tkinter

Unlock the power of artificial intelligence by creating a text completion ChatGPT A.I. bot using Tkinter. This course, available on Udemy, simplifies the process of integrating OpenAI into your Python projects. Whether you're a beginner or a seasoned developer, you'll find valuable insights and techniques to enhance your applications effortles.
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Mastering Generative AI: LLMs, Prompt Engineering & More!

Unlock the power of Generative AI with the "Mastering Generative AI: LLMs, Prompt Engineering & More!" course on Udemy. This complete guide is designed to equip you with the skills necessary to build and deploy state-of-the-art AI models. Dive deep into the world of Large Language Models (LLMs), learn the nuances of prompt engineering, and exp.
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AI and Meta-Heuristics (Combinatorial Optimization) Python

Dive into the world of AI and Meta-Heuristics with our specialized Python course. Gain expertise in essential subjects like Graph Algorithms, Genetic Algorithms, Simulated Annealing, and Swarm Intelligence. Discover the complexities of Heuristics, Minimax, and other Meta-Heuristics strategies. This course is designed to provide a strong foundat.
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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!