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Python courses

702 Courses

California Institute of Technology Rutgers University

Introduction to Python

Title: Introduction to Python Description: Learning Python gives the programmer a wide variety of career paths to choose from. Python is an open-source (free) programming language that is used in web programming, data science, artificial intelligence, and many scientific applications. Learning Python allows the programmer to focus on solving pr.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Higher School of Economics

Python per la Data Science

Python per la Data Science Python per la Data Science è un corso cruciale per qualsiasi professionista che voglia analizzare grandi quantità di dati attraverso le più recenti tecniche di Machine Learning e Deep Learning. Il core del corso è rappresentato dall’utilizzo dei notebook: un moderno formato didattico dove testo e teoria sono integrat.
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California Institute of Technology

Curso Completo de Deep Learning

Este proyecto es un curso práctico y efectivo para aprender Deep Learning con ejercicios aplicados. Aprenderás desde cero los fundamentos del Deep Learning. Después irás aprendiendo a desarrollar redes neuronales con Python y Keras a través de ejercicios prácticos. Gracias a este curso aprenderás a programar tus propios modelos de Deep Learni.
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California Institute of Technology University of Michigan

Python Project: pillow, tesseract, and opencv

Python Project: pillow, tesseract, and opencv This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize te.
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California Institute of Technology University of California, Santa Cruz

Practical Python for AI Coding 1

Introduction video This course is designed for complete novices in Python coding, requiring no prior knowledge or experience in software programming. It introduces and explains Python syntaxes, functions, and libraries that are frequently utilized in AI coding. In addition, this course delves into essential syntaxes and functions often employed.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand
California Institute of Technology

Inteligencia Artificial en Power BI

Inteligencia Artificial en Power BI Este proyecto es un curso práctico y efectivo para aprender todas las funcionalidades de Inteligencia Artificial de Power BI. No solo te permitirá conocer y aprender a utilizar los elementos visuales de IA propios de Power BI Desktop, sino que además podrás aprender a integrar módulos avanzados.
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California Institute of Technology Coursera

ChatGPT with Python: Build a Chatbot With the OpenAI API

ChatGPT with Python: Build a Chatbot With the OpenAI API Did you know that a sophisticated AI chatbot could dramatically reduce customer service costs while improving customer satisfaction? In this hands-on project, "ChatGPT with Python: Build a Chatbot With the OpenAI API," you'll utilise the backend capabilities of OpenAI's C.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Build a Data Warehouse Using BigQuery

Unlock the power of Google BigQuery as you embark on a journey to become proficient in data warehouse building and advanced querying. In this comprehensive course, you'll learn to harness the capabilities of BigQuery, from setting up and accessing the platform to creating data warehouses using both the user interface and Python. Through hands-o.
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provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand
California Institute of Technology University of California, Santa Cruz

Practical Python for AI Coding 2

Introduction video This course is designed for complete novices in Python coding, requiring no prior knowledge or experience. It meticulously selects, introduces, and explains Python syntaxes, functions, and libraries frequently used in AI coding. Additionally, vital syntaxes and functions often utilized in AI programming are covered, highlighti.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand
California Institute of Technology Coursera

Generative AI with Vertex AI: Build a customer chatbot

Generative AI with Vertex AI: Build a Customer Chatbot In this 1-hour project-based course, you will discover how to use Vertex AI to summarize and classify text, and create a chatbot for a financial institution. This involves analyzing customer support calls and developing a customer support chatbot. You'll gain hands-on experience with the Ver.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

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!