Python courses

587 Courses

QC101 Quantum Computing & Intro to Quantum Machine Learning

Title: QC101 Quantum Computing & Intro to Quantum Machine Learning Description: Dive into the realm of quantum computing with a mathematics-focused introduction. This course covers the foundational aspects of quantum computing, cryptography, and introduces quantum machine learning. Participants will have the opportunity to code using Python, Q#.
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provider Udemy
pricing Paid Course
duration 11 hours 54 minutes
sessions On-Demand

Explore space with Python and Visual Studio Code; inspired by Netflix's Over the Moon

Delve into an exciting journey of data exploration and machine learning, inspired by Netflix’s movie Over the Moon. Join this Microsoft Learn course to harness the power of Python and Visual Studio Code to undertake your own space missions, predict meteor showers, and analyze wildlife pictures. Module 1: Mission Planning with Python & pandas –.
provider Microsoft Learn
pricing Free Online Course
duration 2 hours 9 minutes
sessions On-Demand

Try Django 1.11 // Python Web Development

Join our comprehensive online course "Try Django 1.11 // Python Web Development" on Udemy, featuring the renowned #1 Web Development Framework for Python, Django. This course is perfect for anyone looking to build robust web applications. Explore key concepts in Python, Django, and Bootstrap, and advance your skills in these crucial web development.
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provider Udemy
pricing Free Online Course
duration 8 hours 3 minutes
sessions On-Demand

Complete linear algebra: theory and implementation in code

Event Title: Complete Linear Algebra: Theory and Implementation in Code Description: Master key concepts in linear algebra and matrix analysis, and learn to implement them practically using MATLAB and Python. This comprehensive course is ideal for anyone looking to deepen their understanding of linear algebra, whether for academic, professional dev.
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provider Udemy
pricing Paid Course
duration 1 day 9 hours 46 minutes
sessions On-Demand

Microsoft Azure Data Scientist Associate (DP-100)

Earn your Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate on Coursera. Designed for data scientists familiar with Python and machine learning frameworks such as Scikit-Learn, PyTorch, and TensorFlow, this program equips you with the skills to build and operate machine learning solutions in the cloud. Throughout the course.
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provider Coursera  Specialization
pricing Paid Course
duration 30 weeks, 4 hours a week

2024 Python for Beginners: A to Z Concise Hands-on Course

Join our "2024 Python for Beginners: A to Z Concise Hands-on Course" offered by Udemy and jump-start your coding journey! This course is perfect for anyone looking to master Python for various applications including Data Science, Machine Learning, and Web Development. You'll gain practical experience by building real-world projects across multiple.
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provider Udemy
pricing Paid Course
duration 6 hours 21 minutes
sessions On-Demand

Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize

Event Title: Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize Description: Dive into the world of Deep Learning with this comprehensive course offered by Udemy. Led by seasoned experts in Machine Learning and Data Science, this course will teach participants how to build sophisticated Deep Learning models using Python. The program includ.
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provider Udemy
pricing Paid Course
duration 22 hours 47 minutes
sessions On-Demand

Machine Learning, Data Science and Generative AI with Python

Event Title: Machine Learning, Data iOSce and Generative AI with Python Description: Dive into the future of technology with our comprehensive workshop focusing on Machine Learning and Generative AI. This hands-on tutorial covers key concepts in data science, utilizing tools like Tensorflow, GPT, and OpenAI, alongside essential neural network train.
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provider Udemy
pricing Paid Course
duration 18 hours 19 minutes
sessions On-Demand

Advanced AI: Deep Reinforcement Learning in Python

Title: Advanced AI: Deep Reinforcement Learning in Python Description: Dive into the complexities of artificial intelligence with our comprehensive guide on mastering AI through deep learning and neural networks. Offered by Udemy, this course is ideal for those looking to expand their expertise in Python, Q-learning, NumPy, and GPT-4 technologies..
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provider Udemy
pricing Paid Course
duration 10 hours 38 minutes
sessions On-Demand

Python Programming - From Basics to Advanced level [2024]

Join our comprehensive online course, "Python Programming - From Basics to Advanced Level [2024]", offered by Udemy. Perfect for beginners, this course is designed to transform you from zero to hero in Python programming. Master essential programming skills including object-oriented programming and web scraping, through easy-to-follow modules. Enro.
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provider Udemy
pricing Paid Course
duration 7 hours 57 minutes
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!