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Python courses

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California Institute of Technology Skillshare

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
California Institute of Technology Udemy

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
California Institute of Technology Udemy

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
California Institute of Technology Udemy

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
California Institute of Technology Udemy

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
California Institute of Technology Udemy

Python Programming by Srinivas Reddy - DATAhill Solutions

Python Programming Course by Srinivas Reddy - DATAhill Solutions Embark on your journey into the world of programming with our Python Programming Course, offered by DATAhill Solutions and available on Udemy. This course is designed for complete beginners who have no prior experience in programming. It also provides immense value to existing program.
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provider Udemy
pricing Paid Course
duration 8 hours
sessions On-Demand
California Institute of Technology Udemy

Master statistics & machine learning: intuition, math, code

Event Title: Master Statistics & Machine Learning: Intuition, Math, Code Description: Dive into the complexities of statistics and machine learning in this comprehensive course. Offering a robust blend of theory and practical application, participants will engage in hands-on learning with Python and MATLAB to master concepts from basic to advanced.
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provider Udemy
pricing Paid Course
duration 1 day 14 hours 20 minutes
sessions On-Demand
California Institute of Technology Udemy

Python OOP - Object Oriented Programming for Beginners

Course Title: Python OOP - Object Oriented Programming for Beginners Description: Dive into the world of Object Oriented Programming with our comprehensive course on Python OOP, tailored specifically for beginners. Offered by Udemy, this course includes engaging step-by-step video lectures, hands-on projects, interactive exercises, and illustrative.
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provider Udemy
pricing Paid Course
duration 19 hours 3 minutes
sessions On-Demand
California Institute of Technology Udemy

Learn To Code By Making Games in Python

Title: Learn To Code By Making Games in Python Description: Unlock the world of game development with our interactive workshop "Learn To Code By Making Games in Python". Ideal for beginners and programming enthusiasts, this course allows you to create complete games including a Mario-like platformer and a thrilling Space Adventure. Through hands-on.
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provider Udemy
pricing Paid Course
duration 22 hours 39 minutes
sessions On-Demand
California Institute of Technology Udemy

Decision Trees, Random Forests, AdaBoost & XGBoost in Python

Decision Trees, Random Forests, AdaBoost & XGBoost in Python Delve into the world of Decision Trees and ensemble learning methods with this comprehensive course on Udemy. Master the application of Bagging, Random Forest, Gradient Boosting Machines (GBM), AdaBoost, and XGBoost techniques using Python. Perfect for those interested in Python Courses,.
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provider Udemy
pricing Paid Course
duration 7 hours
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!