Python courses

702 Courses

Data Science Real-World Case Studies - Hands On Python

Enhance your data science skills by working on practical projects in the fields of Artificial Intelligence, Machine Learning, Natural Language Processing, and Time Series analysis. This hands-on course, provided by Udemy, empowers you with the expertise required to embark on a career as a Data Scientist or Machine Learning Engineer. Perfect fo.
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QC101 Quantum Computing & Intro to Quantum Machine Learning

QC101 Quantum Computing & Intro to Quantum Machine Learning Embark on a comprehensive journey into the realm of quantum technologies with the QC101 course, designed to introduce you to the fundamental math concepts driving Quantum Computing, Cryptography, and Quantum Machine Learning. Enhance your coding prowess using Python, Q#, and Qiskit,.
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Master Computer Vision™ OpenCV4 in Python with Deep Learning

Develop your computer vision expertise with the "Master Computer Vision™ OpenCV4 in Python with Deep Learning" course. Dive into the world of OpenCV4 and enhance your skills in Dlib and deep learning using Keras, TensorFlow, and Caffe. This comprehensive program offers you 21 real-life projects that bolster your understanding and application of.
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Computer Vision with OpenCV Python | Official OpenCV Course

Category: Python Courses Category: Computer Vision Courses Category: OpenCV Courses Category: Object Detection Courses Category: Object Tracking Courses Category: Edge Detection Courses Category: Image Manipulation Courses Category: Image Enhancement Courses Jump into the exciting world of Computer Vision with this comprehens.
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Deep Learning: Convolutional Neural Networks in Python

Embark on a comprehensive journey into the realm of Deep Learning with our course on Convolutional Neural Networks (CNNs) using Python. Dive into TensorFlow 2 and empower your skills in fields such as Computer Vision and Natural Language Processing (NLP). Ideal for those interested in Data Science and Machine Learning, this course will enhance y.
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Convolutional Neural Networks in Python: CNN Computer Vision

Enhance your skills in computer vision and image recognition with our specialized course on Convolutional Neural Networks (CNNs) in Python. Dive into deep learning techniques and gain proficiency in state-of-the-art frameworks like Keras and TensorFlow 2. Join us on Udemy to take your understanding of machine learning to the next level. Offer.
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Neural Networks in Python: Deep Learning for Beginners

Embark on your journey into the world of Artificial Neural Networks with our comprehensive beginner's course, "Neural Networks in Python: Deep Learning for Beginners." Designed for aspiring data scientists and AI enthusiasts, this course will guide you through the fundamentals of neural networks using Python. Throughout this course, you will le.
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Inteligência Artificial e Machine Learning: O Guia Completo

Descubra como iniciar sua jornada no mundo da Inteligência Artificial e Machine Learning com este guia abrangente. Se você quer estudar IA e não sabe por onde começar, este curso oferecido pela Udemy é sua solução completa. Ganhe expertise teórica e prática e impulsione sua carreira em tecnologia. Explore tópicos fundamentais e avançado.
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Natural Language Processing for Text Summarization

Dive into the essentials of Natural Language Processing and master text summarization techniques with our detailed course. Designed for those eager to learn, this Udemy course offers a hands-on approach where you'll understand the theory and practice of three algorithms, implemented step-by-step in Python, entirely from scratch. Unlock the p.
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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!