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Python courses

702 Courses

California Institute of Technology Coursera

Snowflake for Data Science: Intro to Snowpark ML for Python

Discover the power of merging Snowflake's data cloud with Python in our upcoming event, "Snowflake for Data Science: Intro to Snowpark ML for Python". This engaging 2-hour guided project is designed to arm data scientists with the tools needed to develop a comprehensive machine learning workflow encompassing data preprocessing, model training, and.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology University of Manchester

Introducción al procesamiento de lenguaje natural

Introducción al Procesamiento de Lenguaje Natural Descubre los fundamentos del procesamiento de lenguaje natural (NLP) a través de este curso integral ofrecido por la University of Manchester en Coursera. Ideal para principiantes, el curso cubre todo lo necesario para empezar a trabajar en proyectos de NLP, desde el preprocesamiento de textos hasta.
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provider Coursera
pricing Free Online Course (Audit)
duration 13 hours
sessions On-Demand
California Institute of Technology University of Manchester

NLP Modelos y Algoritmos

Curso de NLP: Modelos y Algoritmos Impartido por la University of Manchester y disponible en Coursera, este curso está diseñado para proporcionarte una comprensión profunda de los algoritmos de Procesamiento de Lenguaje Natural (NLP). A lo largo del curso, explorarás y aplicarás los últimos y más populares algoritos en NLP para resolver problemas e.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand
California Institute of Technology University of Manchester

Limpieza de datos para el procesamiento de lenguaje natural

Curso de Limpieza de Datos para Procesamiento de Lenguaje Natural Aprende a extraer, limpiar y preparar datos de diversas fuentes para su uso en procesamiento de lenguaje natural (NLP). Este curso, ofrecido por la University of Manchester y disponible en Coursera, está diseñado para aquellos con conocimientos de programación de nivel básico a medio.
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provider Coursera
pricing Free Online Course (Audit)
duration 13 hours
sessions On-Demand
California Institute of Technology Coursera

Processing Data with Python

Title: Processing Data with Python Description: In today's world, data processing is essential across all fields, from analyzing web traffic to discern personal preferences, to scientific and weather data analysis, and enhancing business strategies. Python, a versatile and open-source programming language, stands at the forefront of this data revol.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology FutureLearn

Deep Learning on Azure with Python: AI for Beginners

Explore the forefront of technology with "Deep Learning on Azure with Python: AI for Beginners," offered by FutureLearn. This course serves as an essential introduction to the field of artificial intelligence, particularly through the use of Microsoft Cognitive Services, and it utilizes Python as the main programming language. AI technology is incr.
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provider FutureLearn
pricing Paid Course
duration 3 weeks, 6 hours a week
sessions On-Demand
California Institute of Technology Microsoft Learn

AI Foundations: Imagine Cup Junior

Embark on the AI Foundations: Imagine Cup Junior learning journey with Microsoft Learn. This comprehensive course is structured into four pivotal modules, each designed to deepen your understanding and skills in artificial intelligence (AI), cloud computing, and programming. Module 1: Introduction to AI and Cloud Computing Discover the essential.
provider Microsoft Learn
pricing Free Online Course
duration 1 hour 34 minutes
sessions On-Demand
California Institute of Technology Coursera

Exam Prep AI-102: Microsoft Azure AI Engineer Associate

Enroll in the Exam Prep AI-102: Microsoft Azure AI Engineer Associate Course offered by Coursera and elevate your skills in Azure AI Solutions! Focused on the AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam, this comprehensive training is designed to deepen your understanding and abilities in leveraging the power.
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provider Coursera
pricing Free Online Course (Audit)
duration 16 hours
sessions On-Demand
California Institute of Technology DataCamp

Deep Learning with PyTorch

Title: Deep Learning with PyTorch Description: Dive into the world of Artificial Intelligence with our comprehensive course on Deep Learning using PyTorch, presented by DataCamp. This engaging course is designed for individuals eager to master deep learning techniques and apply them using the PyTorch framework. From learning basic neural network co.
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provider DataCamp
pricing Free Trial Available
duration 4 hours
sessions On-Demand
California Institute of Technology Skillshare

Deep Learning and Neural Networks with Python

Embark on a transformative journey into the realms of deep learning, artificial intelligence, and artificial neural networks with our comprehensive course, tailored for individuals with prior Python experience. Master the essentials and beyond in this dynamic field, designed to demystify the complex technologies that are shaping our future. This en.
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provider Skillshare
pricing Free Trial Available
duration 4 hours 24 minutes
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!