Python courses

587 Courses

Automated and Connected Driving Challenges

Explore the forefront of automotive innovation with the “Automated and Connected Driving Challenges” MOOC offered by the University of Vigo and available on edX. This comprehensive course dives into the critical aspects of automated and connected driving, a rapidly evolving area in automotive research and industry. Participants will gain firsthand.
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provider edX
pricing Free Online Course (Audit)
duration 15 weeks, 3-8 hours a week
sessions On-Demand

Python for AI & Development Project

Enhance your Python skills and dive into the world of artificial intelligence and development with this comprehensive IBM project course, now available on edX. This mini-course, geared towards those who have a foundational understanding of Python, offers learners a unique opportunity to earn a skill badge — a digital, verifiable credential showcasi.
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provider edX
pricing Free Online Course (Audit)
duration 1 week, 3-4 hours a week
sessions On-Demand

Advanced Algorithmics and Graph Theory with Python

Discover the pivotal world of algorithms and programming, crucial for engineering students, data scientists, analysts, and computer enthusiasts alike. The course "Advanced Algorithmics and Graph Theory with Python" offers an interactive approach to mastering these complex subjects. Far from being a mere theoretical study, this course challenges lea.
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provider edX
pricing Free Online Course (Audit)
duration 6 weeks, 2-4 hours a week
sessions On-Demand

Hyperparameter Tuning with Neural Network Intelligence

Discover the power of Microsoft's Neural Network Intelligence (NNI) in our comprehensive 2-hour guided project, designed to equip participants with fundamental knowledge and practical skills in hyperparameter tuning using the NNI toolkit. The open-source AutoML toolkit by Microsoft facilitates the automation of various machine learning processes su.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Google Cloud Video Intelligence API by Example

``` Join our comprehensive course on Google Cloud Video Intelligence API, available on LinkedIn Learning. This program is designed for individuals looking to dive into the functionalities of the Google Video Intelligence API, seamlessly integrating with Python to extract meaningful insights from video content. Whether you're a Python enthusiast, a.
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provider LinkedIn Learning
pricing Free Trial Available
sessions On-Demand

Artificial Neural Networks (ANN) with Keras in Python and R

Delve into the world of Deep Learning with our comprehensive course on Artificial Neural Networks (ANN) provided by Udemy. This dynamic course is designed to help you master the construction of Neural Networks using the powerful TensorFlow 2.0 and Keras libraries in both Python and R programming languages. Whether you're interested in advancing you.
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provider Udemy
pricing Paid Course
duration 8 hours 37 minutes
sessions On-Demand

Create own Artificial Neural Network in Python

Discover the fundamentals of Artificial Neural Networks (ANN) and kickstart your journey into the world of AI with our beginner-friendly course. Offered by Udemy, a leading platform for online learning, this course is meticulously designed to guide you through creating your very own ANN using Python. Whether you're aiming to enhance your coding ski.
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provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand

IBM Applied AI

Discover the transformative power of Artificial Intelligence (AI) with the IBM Applied AI Professional Certificate, available on Coursera. AI is changing the landscape of industries worldwide, making knowledge in this field indispensable for students, developers, and technology consultants alike. Whether you're looking to gain an edge in your curre.
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provider Coursera  Professional Certificate
pricing Paid Course
duration 26 weeks, 3 hours a week

Robot Localization with Python and Particle Filters

Embark on a fascinating journey into the world of robotics with our interactive, project-based course titled "Robot Localization with Python and Particle Filters." Over the course of an hour, learners will dive into the complexities of simulating a robot navigating an unknown terrain. Utilizing a terrain map and elevation sensor data, participants.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Accounting Data Analytics with Python

Embark on a transformative journey with the Accounting Data Analytics with Python course, offered by ESSEC Business School and made available through Coursera. Diving deeper than the introductory levels, this specialized program is meticulously designed to enhance Python skills, focusing on assembling and analyzing business-related data. Unlike its.
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provider Coursera
pricing Free Online Course (Audit)
duration 43 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!