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Python courses

949 Courses

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California Institute of Technology Udemy

Cutting-Edge AI: Deep Reinforcement Learning in Python

Title: Cutting-Edge AI: Deep Reinforcement Learning in Python Description: Master the intricacies of applying deep learning within artificial intelligence through a comprehensive course on reinforcement learning. Covering topics such as evolution strategies, A2C (Advantage Actor-Critic), and DDPG (Deep Deterministic Policy Gradient), this course of.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Practical AI with Python and Reinforcement Learning

Title: Practical AI with Python and Reinforcement Learning Description: This course on Udemy delves into the application of Reinforcement Learning techniques to create practical AI programs, utilizing Python. It is an excellent opportunity for students and professionals to enhance their skills in Artificial Intelligence, Python, Reinforcement Learn.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

PyTorch for Deep Learning and Computer Vision

Event Title: PyTorch for Deep Learning and Computer Vision Join us for a comprehensive course provided by Udemy, focusing on using PyTorch to build advanced deep learning and computer vision applications. Master the intricacies of neural networks, Python programming, and AI technologies in an engaging learning pathway. This event is ideal for indiv.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Python for Absolute Beginners - (1.Part )

Event Title: Python for Absolute Beginners - Part 1 Description: Dive into the world of programming with our introductory course, "Python for Absolute Beginners". This course, provided by Udemy, is tailored specifically for newcomers to the field. Python, renowned as the world’s most popular language for web development, data science, and artificia.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Linear Regression and Logistic Regression in Python

Discover how to construct predictive ML models using Linear and Logistic Regression with this beginner-friendly course from Udemy. Ideal for individuals with no prior coding or mathematics background, this course is part of our extensive Python, Machine Learning, Data Analysis, and Linear Regression curricula. Enroll today to step into the world of.
provider Udemy
sessions On-Demand
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California Institute of Technology Coursera  Professional Certificate

Meta Back-End Developer

Enroll in the Meta Back-End Developer Certificate Program Unlock your potential in the tech industry with the Meta Back-End Developer Professional Certificate, delivered by Coursera. Crafted by the technology gurus at Meta, the brains behind global platforms like Facebook and Instagram, this program is your gateway to an entry-level career in back-.
provider Coursera  Professional Certificate
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California Institute of Technology edX  Professional Certificate

Data Science Core

Important Announcement: The 'Data Science Core' Professional Certificate program on edX will be discontinued after June 30, 2020. Enroll and complete your courses by this date to obtain your certificate. Are you looking to dive into one of today's most in-demand fields? The 'Data Science Core' Professional Certificate program offers comprehensive t.
provider edX  Professional Certificate
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California Institute of Technology Udemy

Python For Beginners

Join our "Python for Beginners" course, tailor-made for enthusiasts diving into the realms of Data Science, AI, ML, DL, and more. This introductory program, available on Udemy, focuses exclusively on the fundamentals of Python, setting a strong foundation for future exploration in various tech fields. Ideal for beginners, this course serves as a st.
provider Udemy
sessions On-Demand
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California Institute of Technology Coursera  Specialization

Applied Software Engineering Fundamentals

Title: Applied Software Engineering Fundamentals Description: Jumpstart your journey into the thriving field of software development with the Software Engineering Foundations Specialization, offered by Coursera. Tailored for beginners, this program requires no prior experience with programming or app development. With software developers earning a.
provider Coursera  Specialization
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California Institute of Technology Udemy

Data Science, Machine Learning, Data Analysis, Python & R

Join our FREE Course on Data Science, Machine Learning, Data Analysis, and Data Visualization using the popular programming languages Python and R. Offered by Udemy, this course is perfect for beginners and seasoned professionals keen to enhance their skills in data handling and analytics. Explore essential topics in Python Courses, Machine Learnin.
provider Udemy
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!