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Python courses

949 Courses

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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.
provider Skillshare
sessions On-Demand
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California Institute of Technology edX

Math for Machine Learning with Python

Embark on your journey into the realms of machine learning and artificial intelligence without fear of the mathematical hurdles. Whether you're intimidated by terms like "algebra" and "calculus" or it’s been a while since your last math class, our course, "Math for Machine Learning with Python," is here to ease your worries. Machine learning and A.
provider edX
sessions On-Demand
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California Institute of Technology Coursera

Introduction to Data Science and scikit-learn in Python

Title: Introduction to Data Science and scikit-learn in Python Description: Dive into the dynamic field of data science with our comprehensive Python course! Designed for beginners and intermediate learners, this course will equip you with the skills to harness Python and artificial intelligence effectively. Starting from the basics, you will learn.
provider Coursera
sessions On-Demand
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California Institute of Technology Udemy

Python for Beginners: Complete Python Programming

Python for Beginners: Complete Python Programming - Unlock the world of coding with our beginner-friendly course on Udemy. Delve into the essentials of Python, one of the most popular programming languages globally. Ideal for newcomers, this course lays the foundational skills necessary to embark on your journey in Python programming. Enroll now an.
provider Udemy
sessions On-Demand
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California Institute of Technology edX

Robotic process and intelligent automation for finance

Discover the transformative powers of robotic process automation and intelligent automation in the financial sector with our comprehensive online course provided by edX. Aimed at accountancy, finance, and business professionals, whether employed in small businesses, large corporations, financial services, or simply interested in harnessing new tech.
provider edX
sessions On-Demand
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California Institute of Technology FutureLearn  Program

Data Science on Microsoft Azure: Big Data, Python and R Programming

Data science serves as a pivotal tool for deriving valuable knowledge and insights to address significant business challenges. This extensive professional certificate program, offered by CloudSwyft—one of Asia's rapidly evolving technology education and labs platforms—equips you with vital data science competencies, highly sought after in today’s p.
provider FutureLearn  Program
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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.
provider Coursera
sessions On-Demand
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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.
provider Coursera
sessions On-Demand
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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.
provider Coursera
sessions On-Demand
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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.
provider Coursera
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!