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Python courses

925 Courses

California Institute of Technology University of Mumbai

Data Analytics for Digital Transformation

Dartmouth Engineering’s Data Analytics for Digital Transformation Certificate offers a comprehensive program to equip professionals with the tools and knowledge to drive innovation, efficiency, and strategic decision-making in today’s dynamic digital landscape. Professors Vikrant Vaze and Reed Harder lead the program, which includes four specializ.
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California Institute of Technology Harvard University

Computer Science for Artificial Intelligence

As artificial intelligence continues to revolutionize industries with innovations like self-driving cars and enhanced medical diagnostics, the need for skilled professionals in AI and machine learning surges. This series offers a unique opportunity to delve into programming fundamentals and solve significant real-world issues, securing your caree.
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California Institute of Technology Delft University of Technology

Data Skills for Artificial Intelligence

Data Skills for Artificial Intelligence - Delft University of Technology | edX Explore the intersection of data and Artificial Intelligence with this comprehensive MOOC series designed for aspiring data scientists, machine learning experts, and AI innovators. Presented by Delft University of Technology on edX, this program highlights the impor.
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California Institute of Technology Harvard University

Python for Data Science and Machine Learning

Have you thought about a career in data science and machine learning but didn’t know where to start? Demand for professionals in the machine learning (ML) and artificial intelligence (AI) space is growing exponentially, with no signs of slowing thanks to the ever changing data science landscape. In fact, as the availability of machine learning too.
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California Institute of Technology Harvard University

Data Science and Machine Learning

Have you thought about a career in data science and machine learning but didn’t know where to start? Demand for professionals in the machine learning (ML) and artificial intelligence (AI) space is growing exponentially, with no signs of slowing thanks to the ever changing data science landscape. In fact, as the availability of machine learning too.
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California Institute of Technology Southern New Hampshire University

AI Agents and Agentic AI in Python: Powered by Generative AI

AI agents are transforming the way we interact with technology, and in this specialization, you’ll learn how to build them from the ground up—without the need for complex or rigid frameworks that will be irrelevant next week. Whether you’re a beginner or an experienced developer, you’ll master the core concepts that power AI agents, giving you full.
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California Institute of Technology Universidad Carlos iii de Madrid

Text Analytics with Python

Learn the core techniques of text analytics and natural language processing (NLP) while discovering the cognitive science that makes it possible in this certificate Text Analytics with Python. On the practical side, you’ll learn how to actually do an analysis in Python: creating pipelines for text classification and text similarity using machine l.
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California Institute of Technology Tecnológico de Monterrey

Inteligencia Artificial y Robótica

La robótica y la inteligencia artificial son factores clave para el éxito y permanencia en el mercado de las diferentes industrias, la automatización industrial es una realidad. Según el Foro Económico Mundial, puestos laborales como Especialistas en Aprendizaje de Máquina (Machine Learning), Científico de Datos o Experto en Inteligencia Artifici.
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California Institute of Technology Coursera

Smart Data Cleaning with Generative AI

Tired of spending hours on tedious data cleaning? Imagine if AI could handle the heavy lifting for you, turning days of work into minutes. From detecting errors to organizing vast datasets, Generative AI can not only save you time but also elevate your data quality to new heights. Dive into this course to learn how to transform data prep from a cho.
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California Institute of Technology Harvard University

Data Science and Machine Learning

Have you thought about a career in data science and machine learning but didn’t know where to start? Demand for professionals in the machine learning (ML) and artificial intelligence (AI) space is growing exponentially, with no signs of slowing thanks to the ever changing data science landscape. In fact, as the availability of machine learning too.
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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!