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Python courses

909 Courses

California Institute of Technology Udemy

Data Engineering for Beginners: Learn SQL, Python & Spark

Embark on your data engineering journey with our beginner-friendly course designed to master SQL, Python, and Apache Spark (PySpark). Engage in hands-on projects using the powerful Databricks platform hosted on Google Cloud. Offered by Udemy, this course suits aspiring data engineers aiming to build a strong foundation in essential programming.
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California Institute of Technology Harvard University

Learning Python for Data Science

Data science is an ever-evolving field, driven by advances in technologies and algorithms. To excel in this domain, staying updated with cutting-edge programming languages like Python is essential. This Professional Certificate in Learning Python for Data Science from Harvard University comprises three courses emphasizing hands-on practice. Dev.
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California Institute of Technology Harvard University

Computer Science for Artificial Intelligence

Computer Science for Artificial Intelligence The demand for expertise in AI and machine learning is growing rapidly. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, AI is transforming how we live, work, and play. This series will enable you to take th.
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California Institute of Technology Delft University of Technology

Data Skills for Artificial Intelligence

Data Skills for Artificial Intelligence Artificial Intelligence and Machine Learning have become integral techniques for most services and products, with data being central to robust and successful AI/ML applications. Without solid data management, AI projects frequently underperform or even fail. This series of MOOCs provides unique insights and.
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California Institute of Technology Harvard University

Python for Data Science and Machine Learning

Have you considered a career in data science and machine learning but didn't know where to begin? The demand for professionals in machine learning (ML) and artificial intelligence (AI) is growing exponentially. With the ever-evolving data science landscape, the need for skilled data science analysts and engineers, especially those proficient in P.
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California Institute of Technology Harvard University

Data Science and Machine Learning

Interested in a career in data science and machine learning but unsure where to begin? The demand for professionals skilled in machine learning (ML) and artificial intelligence (AI) is soaring, driven by an ever-evolving data science landscape. As machine learning tools become more widely available, companies are increasingly adopting them, fueling.
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California Institute of Technology Southern New Hampshire University

AI Agents and Agentic AI with Python & Generative AI

Forget everything you know about traditional AI. Agentic AI doesn’t just analyze data; it acts on it. From drafting sales emails to updating CRMs, it’s not just a tool—it’s a game-changer. Are you ready to harness its power? Agentic AI combines Generative AI with tools and actions, enabling the creation of "agents" that revolutionize how work is.
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California Institute of Technology Southern New Hampshire University

AI Agents and Agentic AI Architecture in Python

Forget everything you know about traditional AI. Agentic AI doesn’t just analyze data; it acts on it. From drafting sales emails to updating CRMs, it’s not just a tool—it’s a game-changer. Are you ready to harness its power? Agentic AI combines Generative AI with tools and actions, enabling the creation of "agents" that revolutionize how work is.
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California Institute of Technology edX

IBM Applied AI Developer

Discover the transformational impact of artificial intelligence with the IBM Applied AI Developer program. This comprehensive program reshapes our world by guiding students, developers, and consultants through diverse AI applications—from intelligent machine creation to leveraging generative AI models. The program features seven self-paced co.
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California Institute of Technology Universidad Carlos iii de Madrid

Text Analytics with Python

Text Analytics with Python | Universidad Carlos III de Madrid Delve into the essential techniques of text analytics and natural language processing (NLP) with Python. This comprehensive certificate program, "Text Analytics with Python," provided by Universidad Carlos III de Madrid via edX, emphasizes both practical and scientific approaches. On.
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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!