Join

Python courses

587 Courses

California Institute of Technology Coursera

Redes neuronales convolucionales con Keras

course image
provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udemy

ORIENTAÇÃO A OBJETOS EM JAVA, C#, PYTHON, PHP E JAVASCRIPT

Title: ORIENTAÇÃO A OBJETOS EM JAVA, C#, PYTHON, PHP E JAVASCRIPT Description: Com Modelagem de Banco de Dados e Business Intelligence com Data Warehouse University: Provider: Udemy Categories: Python Courses, Business Intelligence Courses, C# Courses, Programming Courses, Data Warehousing Courses, MySQL Courses, Object-oriented programming.
course image
provider Udemy
pricing Paid Course
duration 13 hours 14 minutes
sessions On-Demand
California Institute of Technology Udemy

Python do ZERO à Programação Orientada a Objetos

Python do ZERO à Programação Orientada a Objetos Python do ZERO à Programação Orientada a Objetos Aprenda programação em Python de forma simples, rápida e efetiva. Sobre o Curso Descubra a programação em Python partindo do zero, avançando até a Programação Orientada a Objetos. Ideal para aquel.
course image
provider Udemy
pricing Paid Course
duration 16 hours
sessions On-Demand
California Institute of Technology Udemy

Mineração de Regras de Associação com Python, Apriori e SQL

Mineração de Regras de Associação com Python, Apriori e SQL Aprenda a descobrir padrões escondidos em bases de dados comerciais utilizando regras de associação com o Python! Disponível na: Universidade: Udemy Categories: Inteligência Artificial Python Mineração de Dados SQL MySQL
course image
provider Udemy
pricing Paid Course
duration 7 hours
sessions On-Demand
California Institute of Technology Udemy

Machine Learning | Solução completa end-to-end (Python)

Machine Learning | Solução completa end-to-end (Python) - Udemy Curso: Machine Learning | Solução completa end-to-end (Python) Descrição: Aprenda como criar valor usando Machine Learning em um problema real de mercado neste curso abrangente. Desenvolva habilidades essenciais em Python e suas bibliotecas, como Matplotlib, NumPy, pandas e outras f.
course image
provider Udemy
pricing Paid Course
duration 3-4 hours
sessions On-Demand
California Institute of Technology Udemy

Machine Learning y Data Science: Curso Completo con Python

Machine Learning y Data Science: Curso Completo con Python Aprende Machine Learning y Data Science con Python, y conviértete en un experto en el campo. Este curso completo, ofrecido por Udemy, te proporcionará todo lo necesario para dominar el Machine Learning con Python. Categorías: Python Courses, Machine Learning Courses.
course image
provider Udemy
pricing Paid Course
duration 31 hours
sessions On-Demand
California Institute of Technology Udemy

Python para Análise de Dados

Python para Análise de Dados Aprenda Python para análise de dados do básico ao avançado! University: Udemy Categories: Python Courses, Data Analysis Courses
course image
provider Udemy
pricing Paid Course
duration 12 hours
sessions On-Demand
California Institute of Technology Udacity  Nanodegree

AI Programming with Python

AI Programming with Python Learn Python, NumPy, Pandas, Matplotlib, PyTorch, and Linear Algebra—the foundations for building your own neural network. University: Udacity Provider: Nanodegree Categories: Artificial Intelligence Courses Python Courses Neural Networks Courses Matplotlib Courses NumPy Courses pandas Courses Data Visu.
course image
provider Udacity  Nanodegree
pricing Paid Course
duration 13 weeks, 10 hours a week
California Institute of Technology Udemy

Python Foundations for Data Analysis & Business Intelligence

Python Foundations for Data Analysis & Business Intelligence Unlock the power of Python in the contexts of data analysis and business intelligence with this comprehensive course. Immerse yourself in hands-on demonstrations and tackle unique, real-world projects that bring theoretical concepts to life. Course Highlights: Essential Python bui.
course image
provider Udemy
pricing Paid Course
duration 11 hours
sessions On-Demand
California Institute of Technology Coursera

Programmatic Prompting with OpenAI: Refining and Filtering

Programmatic Prompting with OpenAI: Refining and Filtering In this project, you will implement a Flask Python web app that dynamically generates movie reviews in different styles using OpenAI text models. By prompting and tweaking OpenAI parameters, you'll refine the generated responses using top_p, frequency penalty, presence.
course image
provider Coursera
pricing Paid Course
duration 2-3 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!