Python courses

702 Courses

Python for Data Science & Machine Learning: Zero to Hero

Event Title: Python for Data Rights Science & Machine Learning: Zero to Hero Description: Elevate your skills with comprehensive online courses on Python for Data Science and Machine Learning. Whether a beginner or aiming to enhance your abilities, dive deep into Python essentials like Numpy, Pandas, Matplotlib, and Scikit-Learn. Gain expertise in.
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provider Udemy
pricing Paid Course
duration 6 hours
sessions On-Demand

100+ Exercises - Advanced Python Programming

Title: 100+ Exercises - Advanced Python Programming Description: Elevate Your Python Skills with 100+ Advanced Exercises - Unleash the Full Potential of Python's Advanced Features! Provider: Udemy University: Not Applicable Categories: Python Courses
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provider Udemy
pricing Paid Course
duration 1 hour 10 minutes
sessions On-Demand

150+ Exercises - Data Structures in Python - Hands-On

Title: 150+ Exercises - Data Structures in Python - Hands-On Description: Master Data At whatever point that you are evaluating customer profiles or new customers, structures in Python to optimize your code efficiency and enhance your problem-solving skills with this hands-on course from Udemy. University: None Provider: Udemy Categories: Python Co.
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provider Udemy
pricing Paid Course
duration 1 hour 13 minutes
sessions On-Demand

Learn to Create AI Voice Assistant (JARVIS) With Python

Title: Learn to Create AI Voice Assistant (JARVIS) With Python Description: Discover the secrets of crafting your own Artificial Intelligence assistant using Python in this comprehensive course offered by Udemy. No prior programming experience? No problem! This course is designed for beginners. University: Udemy Categories: Artificial Intelligence.
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provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Simplified: Intro to Machine Learning

Event Title: Simplified: Intro to Machine Learning Description: Dive into the basics of machine learning with our beginner-level course. Perfect for those starting their journey in the tech field, this course, provided by Udemy, delves into fundamental concepts and practical applications of machine learning. Explore key categories including Python,.
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provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Data Science Mega-Course: #Build

Course Title: Data Science Mega-Course: #Build Description: Dive into the world of data science with our comprehensive Mega-Course. Learn how to build and deploy projects using cutting-edge technologies in Data Science, Machine Learning, and Deep Learning. This course covers a wide array of tools and frameworks, including Python, Flask, Django, and.
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provider Udemy
pricing Paid Course
duration 133 hours
sessions On-Demand

An Introduction to Machine Learning for Data Engineers

Title: An Introduction to Machine Learning for Data Engineers Description: This essential course serves as a prerequisite for mastering TensorFlow on Google's Cloud Platform, specifically designed for data engineers. Dive deep into the world of Machine Learning and enhance your skills in Python, Machine Learning, and Neural Networks. University: No.
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provider Udemy
pricing Paid Course
duration 1 hour 10 minutes
sessions On-Demand

PyScript Fundamentals 101- Run Python in your Browser's HTML

Discover the revolutionary way of integrating Python with web development in our new course, "PyScript Fundamentals 101: Run Python in Your Browser's HTML," provided by Udemy. This course offers an exciting opportunity to learn how to write Python code snippets directly within HTML. Ideal for professionals invested in Python, Data Visualization, an.
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provider Udemy
pricing Paid Course
duration 1 hour 21 minutes
sessions On-Demand

300+ Exercises - Python Programming Mega Pack

Boost your Python programming expertise with the "300+ Exercises - Python Programming Mega Pack" offered by Udemy. This comprehensive course is packed with over 300 stimulating exercises designed to enhance your coding skills and deepen your understanding of Python. Ideal for programmers looking to refine their abilities, this Mega Pack is a perfec.
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provider Udemy
pricing Paid Course
duration 1 hour 25 minutes
sessions On-Demand

350+ Exercises - Python Programming Mega Pack - OOP

Title: 350+ Exercises - Python Programming Mega Pack - OOP Description: Dive deep into Python programming with our comprehensive Mega Pack, specifically designed to enhance your skills in Object-Oriented Programming (OOP). Enroll now to unlock the full potential of OOP and elevate your coding prowess with over 350 exercises. Available exclusively o.
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provider Udemy
pricing Paid Course
duration 1 hour 8 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!