Python courses

587 Courses

Image Compression and Generation using Variational Autoencoders in Python

Delve into the fascinating world of AI with our latest Python course on Image Compression and Generation using Variational Autoencoders, brought to you by Coursera. In this comprehensive 1-hour project, participants will gain hands-on experience with Variational Autoencoder (VAE), a groundbreaking model that stands at the intersection of Machine Le.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Applied Data Science

Title: Applied Data Science Specialization Description: Dive into the dynamic field of data science with Applied Data Science Specialization, a comprehensive program designed for enthusiasts eager to solve real-world data problems. Perfect for individuals aiming to advance their career in data science, this specialization is a follow-up to introduc.
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provider Coursera  Specialization
pricing Paid Course
duration 26 weeks, 4 hours a week

Image Compression with K-Means Clustering

Embark on a hands-on journey to master image compression with our dynamic project, "Image Compression with K-Means Clustering," available exclusively on Coursera's immersive project platform, Rhyme. Over the course of 45 minutes, gain practical expertise in utilizing the k-means clustering unsupervised learning algorithm with scikit-learn and Pytho.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

RASA :Build and Deploy Chatbot On The Cloud (100% FREE)

Join our comprehensive RASA Chatbot Course on Udemy and dive into the world of AI chatbots with our expert-led training! From the basics of installation to the advanced techniques of cloud deployment, this course covers everything you need to know to master RASA. Whether you're interested in artificial intelligence, Python programming, chatbot deve.
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provider Udemy
pricing Paid Course
duration 1 hour 51 minutes
sessions On-Demand

Open AI for Beginners: Programmatic Prompting

Title: Open AI for Beginners: Programmatic Prompting Description: Dive into the fascinating world of AI with our project-focused course on "Open AI for Beginners: Programmatic Prompting", proudly offered through Coursera. This project is designed to guide you through the process of interacting with the OpenAI model via the OpenAI API, particularly.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand

NLP - Natural Language Processing with Python

Discover the power of Natural Language Processing (NLP) through our comprehensive course on Udemy, focusing on Python. This course covers a wide range of tools and technologies, including Machine Learning, Spacy, NLTK, SciKit-Learn, and Deep Learning. Whether you're keen on understanding the basics or diving deep into the complexities of NLP, this.
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provider Udemy
pricing Paid Course
duration 11 hours 25 minutes
sessions On-Demand

Self-Driving Cars Tutorial: Identify Lane Lines with OpenCV & Python

In this engaging tutorial, explore the fascinating world of self-driving cars as you master the art of identifying lane lines using OpenCV and Python. This comprehensive lesson is meticulously designed for learners at any stage, providing a deep dive into the intriguing realm of computer vision techniques. Self-driving cars represent a monumental l.
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provider Skillshare
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

Training Neural Networks in Python

Explore the fascinating world of neural networks with our comprehensive course, "Training Neural Networks in Python", offered through LinkedIn Learning. This course is designed for individuals eager to understand the intricacies of neural networks and how to build them using Python. Whether you're interested in Python programming, machine learning,.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

Computer Vision with OpenCV Python | Official OpenCV Course

```html Embark on your journey into the realm of Computer Vision with the Official OpenCV Course, now available on Udemy. Dive into the expansive world of OpenCV, the premier library for Computer Vision that stands as the most comprehensive of its kind globally. This course is designed to introduce you to the foundational concepts and applications.
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provider Udemy
pricing Free Online Course
duration 1 hour 59 minutes
sessions On-Demand

OpenCV for Python Developers

OpenCV for Python Developers Course | LinkedIn Learning Embark on a journey to master the image-processing prowess of OpenCV 3 with our exclusive course tailored for Python developers. Offered by LinkedIn Learning, this course is designed to equip you with the knowledge to incorporate object, facial, and feature detection into your Python applica.
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provider LinkedIn Learning
pricing Free Trial Available
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!