Python courses

702 Courses

The Complete Guide to Bot Creation

Discover the ultimate guide to creating bots and automating your daily tasks with the "Complete Guide to Bot Creation and Automating your Everyday Work" course, offered by Udemy. Whether you're interested in Python, chatbots, or Node.js, this course covers essential categories to elevate your programming skills. Dive into Python courses, chatbot de.
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provider Udemy
pricing Paid Course
duration 4 hours 12 minutes
sessions On-Demand

OpenCV Python For Beginners | Hands on Computer Vision

Join Our OpenCV Python Course for Beginners: Dive into Computer Vision! Unlock the world of computer vision with our comprehensive course designed for beginners on Udemy. Gain hands-on experience through practical examples that seamlessly blend OpenCV and Python. This course, tailored for novices, introduces you to the powerful world of computer vi.
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provider Udemy
pricing Paid Course
duration 12 hours
sessions On-Demand

Natural Language Processing:Concept along with Case Study

Join our complimentary course on Udemy titled "Natural Language Processing: Concept along with Case Study." This in-depth course covers vital areas such as Natural Language Processing (NLP), text processing, machine learning, and creating spam filters, all through the versatile programming language, Python. Ideal for enthusiasts looking to dive int.
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provider Udemy
pricing Free Online Course
duration 1-2 hours
sessions On-Demand

Natural Language Processing with PyCaret

Title: Natural Language Processing with PyCaret Description: Dive deep into the world of Natural Language Processing (NLP) with PyCaret in this comprehensive project. Discover how to effortlessly set up PyCaret for your NLP tasks, enabling you to compare and develop models with unparalleled ease. Furthermore, learn the ins and outs of visualizing b.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Learn OpenCV with Python with Projects

Embark on a journey to master Python OpenCV with Udemy's comprehensive course. This hands-on learning experience is designed to equip you with practical skills in Python and OpenCV, enhancing your understanding through project-based applications after each module. Dive into the realms of computer vision and image processing, and add significant pro.
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provider Udemy
pricing Paid Course
duration 6 hours
sessions On-Demand

Computer Vision: Face Recognition Quick Starter in Python

Jumpstart your Python journey with our comprehensive course on Computer Vision: Face Recognition Quick Starter in Python, offered exclusively through Udemy. Delve into the fascinating world of deep learning as you master face detection, recognition, along with emotion, gender, and age classification. This course is meticulously designed to incorpor.
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provider Udemy
pricing Paid Course
duration 9 hours
sessions On-Demand

Process Documents with Python Using the Document AI API

Title: Process Documents with Python Using the Document AI API. Description: Dive into the world of document processing with this comprehensive self-paced lab, designed to enhance your skills right within the Google Cloud console. Learn to leverage the power of the Document AI API with Python, enabling you to craft intricate processors like a gener.
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provider Coursera
pricing Paid Course
sessions On-Demand

YOLOv4 Object Detection Course

Discover the cutting-edge capabilities of object detection with our comprehensive YOLOv4 Course on Udemy. This expertly designed course will take you through the steps of implementing and training YOLOv4 for robust object detection. Whether you're passionate about artificial intelligence, fluent in Python, interested in enhancing your computer visi.
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provider Udemy
pricing Paid Course
duration 6 hours
sessions On-Demand

Natural Language Processing (NLP) with BERT

```html Unlock the power of Natural Language Processing (NLP) with BERT in this comprehensive online course offered by Udemy. Dive deep into the world of movies reviews semantic analysis using BERT, one of the most advanced NLP models. Whether you're a beginner or an experienced professional, this course is designed to enhance your skills in Python.
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provider Udemy
pricing Free Online Course
duration 1 hour 2 minutes
sessions On-Demand

Data Balancing with Gen AI: Credit Card Fraud Detection

Discover the power of Generative AI in combating credit card fraud with our 2-hour guided project titled "Data Balancing with Gen AI: Credit Card Fraud Detection". Offered by Coursera, this project is in collaboration with SecureTrust Financial Services, aiming to showcase how Generative Adversarial Networks (GANs) can be used to generate synthetic.
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provider Coursera
pricing Paid Course
duration 1-2 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!