Python courses

587 Courses

The Ultimate Beginners Guide to Python Recommender Systems

Title: The Ultimate Beginners Guide to Python Recommender Systems Description: Dive into the world of Python recommender systems with our step-by-step beginner's guide! Learn how to utilize collaborative filtering to accurately recommend movies, building everything from scratch. University: Not Applicable Provider: Not Applicable Categories: Artifi.
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Python for Beginners: The Complete Python Masterclass

Python for Beginners: The Complete Python Masterclass - Unlock your coding potential with this comprehensive online course offered by Udemy. Dive deep into core Python skills essential for data science, machine learning, and more. This beginner-friendly program is enhanced with practical examples and exercises, providing a robust learning experienc.
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provider Udemy
pricing Paid Course
duration 7 hours 16 minutes
sessions On-Demand

Algorithms and Data Structures in Python (INTERVIEW Q&A)

Title: Algorithms and Data 【Structures in Python】 (INTERVIEW Q&A) Description: Master Python algorithms and data structures while preparing for your tech interviews! This online course offers detailed guidance on implementing data structures, graph algorithms, and sorting algorithms from scratch, supplemented with key interview questions. Univers.
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provider Udemy
pricing Paid Course
duration 23 hours 38 minutes
sessions On-Demand

Python 101: Python for absolute beginners

Embark on your coding journey with Python 101: Python for Absolute Beginners, brought to you by Udemy. This beginner-friendly course is designed to teach you Python programming from scratch, ensuring no prior experience is necessary. Ideal for those looking to delve into the realms of coding, this course falls under the category of Python Courses..
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provider Udemy
pricing Paid Course
duration 2 hours 49 minutes
sessions On-Demand

Master Math by Coding in Python

Master Math by Coding in Python - Unlock the power of programming to understand the essential concepts in mathematics. This comprehensive course on Udemy delves deep into linear algebra, calculus, trigonometry, and more, utilizing Python as a practical tool for learning. Whether you're diving into Matplotlib, mastering NumPy, exploring Calculus, or.
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provider Udemy
pricing Paid Course
duration 1 day 13 hours 15 minutes
sessions On-Demand

Python In 90 Minutes

Title: Python in 90 Minutes Description: In today's digital era, programming holds immense significance, its versatility allows addressing both straightforward repetitive tasks and intricate challenges. Python, a widely embraced scripting language, stands out due to its vast community support and ease of use, making it ideal for rapid prototyping..
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provider Skillshare
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

Complete Machine Learning & Data Science with Python | A-Z

Embark on a comprehensive journey in Complete Machine Learning & Data Science with Python | A-Z. Discover the power of Python for data science and machine learning, utilizing tools like Scikit, NumPy, Pandas, Matplotlib, and Seaborn. Whether you're learning supervised or unsupervised learning or delving into specific methodologies like linear r.
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provider Udemy
pricing Paid Course
duration 8 hours 42 minutes
sessions On-Demand

Python Programming: Machine Learning, Deep Learning | Python

Title: Python Programming: Machine Learning, Deep Learning | Python Description: Dive into the world of Python with a focus on Machine Learning and Deep Learning. This comprehensive course, available on Udemy, covers Data Analysis, Artificial Intelligence, Object-Oriented Programming (OOP), and hands-on Python Projects. Enhance your skills and know.
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provider Udemy
pricing Paid Course
duration 21 hours 15 minutes
sessions On-Demand

Complete Machine Learning & Data Science with Python| ML A-Z

Title: Complete Machine Learning & Data Science with Python| ML A-Z Description: Master the essentials of machine learning and data science with our comprehensive course on Udemy. Dive into Python essentials like Numpy, Pandas, Matplotlib, and Seaborn, along with advanced topics like Scipy, Supervised & Unsupervised Machine Learning A-Z, and featur.
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provider Udemy
pricing Paid Course
duration 11 hours 14 minutes
sessions On-Demand

Deep Learning with TensorFlow (beginner to expert level)

Deep Learning with TensorFlow (Beginner to Expert Level) Master the fundamentals and advanced techniques of TensorFlow in this comprehensive course provided by Udemy. Dive into key TensorFlow concepts, components, and its pipeline. Enhance your skills in Artificial Neural Networks (ANN), both Classification and Regression, Object Identification, Co.
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provider Udemy
pricing Paid Course
duration 1 day 5 hours 19 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!