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Python courses

937 Courses

California Institute of Technology Coursera

Deep Learning: Recurrent Neural Networks with Python

Deep Learning: Recurrent Neural Networks with Python With the exponential growth of user-generated data, mastering RNNs is essential for deep learning engineers to perform tasks like classification and prediction. Architectures such as RNNs, GRUs, and LSTMs are top choices, making mastering RNNs a priority. This course starts with the basics an.
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California Institute of Technology University of Naples Federico II

Explainable AI (XAI)

Explainable AI (XAI) In an era where Artificial Intelligence (AI) is rapidly transforming high-risk domains like healthcare, finance, and criminal justice, the ability to develop AI systems that are not only accurate but also transparent and trustworthy is critical. The Explainable AI (XAI) Specialization is designed to empower AI professionals.
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California Institute of Technology University of Pennsylvania

Deep Learning Essentials

Deep Learning Essentials | University of Pennsylvania | Coursera Join the University of Pennsylvania's Deep Learning Essentials course on Coursera. Delve into the rich history of deep learning, and gain a profound understanding of neural networks, including the perceptron. Discover how these networks function and explore the architectu.
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California Institute of Technology Coursera

Keras Deep Learning & Generative Adversarial Networks (GAN)

Keras Deep Learning & Generative Adversarial Networks (GAN) This course is designed to take you on an in-depth journey through the world of deep learning and artificial intelligence. Beginning with an introduction to AI and machine learning concepts, you’ll build a solid foundation in neural networks and deep learning with the Keras framework. As.
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California Institute of Technology Coursera

Chatbots for Beginners: A Complete Guide to Build Chatbots

Chatbots for Beginners: A Complete Guide to Build Chatbots Embark on a journey to master chatbot development with this detailed course designed for beginners. Starting with an introduction to chatbots, you’ll learn their history, applications, and benefits. Understand the differences between rule-based and self-lear.
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California Institute of Technology Coursera

Computer Vision: Face Recognition Quick Starter in Python

Computer Vision: Face Recognition Quick Starter in Python This comprehensive course guides you through the fascinating world of face recognition using Python. Starting with an introduction to face recognition concepts, you'll proceed to set up your environment using Anaconda and address any initial setup challenges. The course then delves into.
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California Institute of Technology Coursera

Advanced Chatbots with Deep Learning and Python

Advanced Chatbots with Deep Learning and Python This course is designed to equip learners with the knowledge and skills required to develop advanced chatbots using deep learning and Python. The initial modules provide an overview of chatbots, their evolution, and the benefits of incorporating AI into chatbot development. Learners wil.
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California Institute of Technology Coursera

Basics of Chatbots with Machine Learning & Python

Basics of Chatbots with Machine Learning & Python This course offers a thorough exploration of chatbots and their development using machine learning and Python. You’ll start with an introduction to chatbots, including their history and various applications across industries. The course then delves into the distinctions between chatbots, virtual.
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California Institute of Technology Coursera

LangChain MasterClass: Build 15 LLM Apps with Python

LangChain MasterClass: Build 15 LLM Apps with Python Unlock the limitless potential of AI and language-based applications with our LangChain Masterclass. This comprehensive course takes you on a transformative journey through LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guided by industry experts. You'll engage in hands-on projects ranging fro.
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California Institute of Technology Coursera

Call Gemini using the OpenAI Library

Call Gemini using the OpenAI Library University: Provider: Coursera Categories: Python Courses, Machine Learning Courses, Google Cloud Platform (GCP) Courses, Gemini Courses, OpenAI Courses This self-paced lab, hosted in the Google Cloud console, guides you through the process of calling Gemini using the OpenAI library. Enhance your skills an.
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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!