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Python courses

702 Courses

California Institute of Technology XuetangX

大数据与机器智能

在这门课程中，您将掌握Python编程技能并进行机器智能的实验。通过深入学习机器学习的基本原理，您将完成机器智能的课程项目。参与Scikit-learn、TensorFlow2和Keras2技术的实践，体验计算机视觉和语音识别等人工智能应用。 此外，课程帮助您理解人工智能产业的发展方向和生态系统。您将熟悉各种技术工具及应用，拓展人工智能领域的视野，培养利用人工智能技术进行创新和.
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California Institute of Technology XuetangX

Python语言程序设计

计算机不只是运算工具，更是创新平台。高效利用计算机需要简洁实用的编程语言。Python是当今最流行的跨平台语言之一，拥有简单易学、免费开源、可移植、跨平台、面向对象、可扩展等特点。Python适用于Web开发、科学计算、人工智能、桌面开发、软件开发、网络爬虫等领域。 随着大数据和人工智能需求的增长，Python备受瞩目，被誉为数据和AI的专用语言。掌握Python对适应信.
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California Institute of Technology Udemy

The Complete Intro to Machine Learning

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California Institute of Technology Udemy

Complete Python and Machine Learning in Financial Analysis

Udemy offers an extensive course titled "Complete Python and Machine Learning in Financial Analysis" that combines practical use of Python with advanced Machine Learning and Deep Learning methods tailored for financial analytics. This course is structured with step-by-step coding instructions alongside all required codes, enhancing your skills i.
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California Institute of Technology Udemy

Python: From Zero to Hero - Code Your Way to the Top

Embark on a transformative journey with "Python: From Zero to Hero - Code Your Way to the Top." This comprehensive course is designed to propel you from a Python novice to a coding pro, ready to tackle any challenge. Hosted by Udemy, this offering provides the perfect launch pad into the world of programming. Whether you're interested in maste.
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California Institute of Technology Udemy

Linear Regression and Logistic Regression in Python

Discover the fundamentals of Linear Regression and Logistic Regression with this beginner-friendly course on Udemy. Designed for those with no prior experience in coding or mathematics, you'll learn to build predictive machine learning models efficiently and effectively. This course is part of Udemy's diverse offerings in Python, Machine Learni.
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California Institute of Technology Udemy

Python for Beginners: A to Z Concise Hands-on Course

Course Title: Python for Beginners: A to Z Concise Hands-on Course Description: Learn coding in Python for Data Science, Machine Learning, and Web Development by building real-world projects. University/Provider: Udemy Categories: Python Courses Data Visualization Courses Object-oriented Programming Courses.
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California Institute of Technology Coursera

Classification - Fundamentals & Practical Applications

Classification problems are a frequent challenge in data science. This course empowers you to understand and apply key algorithms to predict and enhance business decision-making. Suited for those aspiring to be data scientists or with a focus on analytics and business intelligence, this course provides a deep dive into classification problems,.
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California Institute of Technology Udemy

Complete Machine Learning & Data Science with Python| ML A-Z

Embark on a comprehensive journey into the world of Machine Learning and Data Science with Python. This course offers in-depth knowledge of tools like Numpy, Pandas, Matplotlib, Seaborn, and Scipy. Through this course, offered by Udemy, participants will gain practical insights into supervised and unsupervised machine learning techniques, along.
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California Institute of Technology Udemy

PyScript Fundamentals 101- Run Python in your Browser's HTML

Discover the groundbreaking approach to integrating Python into your web pages with PyScript Fundamentals 101. This course empowers you to write Python code snippets directly within HTML, opening a new realm of possibilities in web development. As a cooperative learning experience, this Udemy course combines the power of Python with the versa.
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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!