Python courses

704 Courses

Deep Learning: Image Recognition

Discover the world of deep learning with our comprehensive course on designing, building, and deploying deep neural networks for image recognition systems, offered through LinkedIn Learning. This course is tailored for enthusiasts and professionals alike who are eager to dive into the realms of Python, Deep Learning, Neural Networks, TensorFlow, Ke.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

Sentiment Analysis with NLP using Python and Flask

Explore the realm of sentiment analysis through our comprehensive course, "Sentiment Analysis with NLP using Python and Flask," offered exclusively on Udemy. This unique program is meticulously designed for both beginners and seasoned professionals who wish to delve deeper into the fascinating world of Natural Language Processing (NLP). With Python.
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provider Udemy
pricing Paid Course
duration 1 hour 25 minutes
sessions On-Demand

NLP Course for Beginner

Embark on a journey to mastering Natural Language Processing (NLP) with our beginner-friendly course. Offered by Udemy and tailored for those eager to delve into text data analysis, this course covers the essentials of NLP. Whether you're interested in Python programming, or keen on exploring the realms of sentiment analysis within the domain of Na.
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provider Udemy
pricing Paid Course
duration 1 hour 7 minutes
sessions On-Demand

Building a Face Detection and Recognition Model From Scratch

Discover how to create your own Face Detection and Recognition Model with our comprehensive course. This online class, offered through Udemy, blends the intricate concepts of Machine Learning and Computer Vision, providing you with the skills needed to excel in this cutting-edge field. Whether you're interested in Python, Machine Learning, Computer.
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provider Udemy
pricing Paid Course
duration 1 hour 12 minutes
sessions On-Demand

ChatGPT for Data Science and Machine Learning [2024 Updated]

Unlock the full potential of ChatGPT for creating innovative Data Science and Machine Learning projects with our 2024 updated course. Offered through Udemy, this comprehensive guide is designed for individuals looking to harness the capabilities of ChatGPT in the realms of data analysis and predictive modeling. Whether you're a beginner or an exper.
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provider Udemy
pricing Paid Course
duration 3 hours 35 minutes
sessions On-Demand

Introduction to Natural Language Processing

Join our engaging online course, "Introduction to Natural Language Processing," on Udemy, tailored for those eager to dive into the world of NLP. This course covers the fundamental concepts of Natural Language Processing, beginning with Regular Expressions and moving onto essential Text Pre-processing techniques, all through the versatile language.
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provider Udemy
pricing Free Online Course
sessions On-Demand

Python for Natural Language Processing (NLP)

Course Title: Python for Natural Language Processing (NLP) Embark on a comprehensive journey through the world of Natural Language Processing (NLP) with a special focus on Python. This course, offered by Udemy, is designed to equip participants with the knowledge and skills to build NLP models effectively. Delve deep into the realms of Python progr.
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provider Udemy
pricing Paid Course
duration 3 hours
sessions On-Demand

Build a ChatGPT Discord Bot

Join our upcoming course, "Build a ChatGPT Discord Bot," brought to you by Treehouse. This immersive course is designed for learners eager to dive into the world of chatbot development using ChatGPT. Whether you're keen on enhancing your programming prowess or venturing into building intelligent chatbots, this course equips you with the essential s.
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provider Treehouse
pricing Free Trial Available
sessions On-Demand

AWS Panorama - Building Edge Computer Vision (CV) Applications

AWS Panorama: Empowering Edge CV Application Development Leverage the power of AWS Panorama to integrate computer vision into your existing on-premises camera network. Discover how to utilize AWS Panorama by installing an appliance or compatible device within your data center, seamlessly registering it with AWS Panorama, and effectively deploying c.
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provider AWS Skill Builder
pricing Free Certificate
duration 1-2 hours
sessions On-Demand

Unit Testing with Generative AI Case Study

Title: Unit Testing with Generative AI Case Study Description: Dive into an enlightening case study on leveraging ChatGPT for unit testing in Python. This hands-on guide will walk you through the process of utilizing generative AI, specifically ChatGPT, to craft a suite of unit tests. Perfect for Developers looking to sharpen their skills, this cas.
provider Codecademy
pricing Free Trial Available
duration 1 hour
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!