Python courses

702 Courses

100 Days of Code: Python Developer Challenge

Join the "100 Days of Code: Python Developer Challenge" on Udemy and become a Python Ninja! Enhance your programming skills daily with our comprehensive training in Python, Machine Learning, Data Analysis, and Web Development. Perfect for aspiring developers, this challenge is designed to boost your expertise one day at a time. Don't miss this oppo.
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provider Udemy
pricing Paid Course
duration 1 hour 3 minutes
sessions On-Demand

Time Series Analysis and Forecasting with Python

Event Title: Time Series of Analysis and Forecasting with Python Description: Dive into the world of Python for cutting-edge time series analysis and forecasting. This comprehensive course, provided by Udemy, covers tools and techniques like Pandas, Statsmodels, ARIMA, SARIMAX, deep learning, LSTM, and more to equip you with the skills needed to fo.
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provider Udemy
pricing Paid Course
duration 10 hours
sessions On-Demand

Follow a Machine Learning Workflow

Embark on a comprehensive journey through the machine learning workflow with the second course of the Certified Artificial Intelligence Practitioner (CAIP) professional certificate, offered exclusively on Coursera. This detailed course moves beyond basics and delves into each crucial step of the machine learning process, from the initial problem fo.
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provider Coursera
pricing Free Online Course (Audit)
duration 20 hours
sessions On-Demand

Python Programming for Beginners - Practical & In Real-Time

Title: Python Programming for Beginners - Practical & In Real-Time Description: Kickstart your programming journey with our comprehensive Python Programming Course for Beginners. Offered by Udemy, this course is designed with a hands-on, real-time approach to help you master Python at a beginner level. Perfect for aspiring software developers inter.
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provider Udemy
pricing Paid Course
duration 2-3 hours
sessions On-Demand

The Python MicroDegree: From Basics To Building Python Apps

Title: The Python MicroDegree: From Basics To Building Python Apps Description: Dive deep into Python programming with our comprehensive course "The Python MicroDegree: From Basics To Building Python Apps." From foundational concepts to developing real-world applications, this course covers all you need to master Python. Perfect for beginners and s.
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provider Udemy
pricing Paid Course
duration 7 hours 38 minutes
sessions On-Demand

Learn Python Programming From A-Z: Beginner To Expert Course

Unlock your coding potential with the "Learn Python Programming From A-Z: Beginner To Expert Course" on Udemy. Master Python and gain the skills to develop programs, apps, scripts, games, and various other exciting projects. This comprehensive course is perfect for anyone eager to enhance their programming prowess or kick-start a career in tech. En.
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provider Udemy
pricing Paid Course
duration 15 hours 52 minutes
sessions On-Demand

Machine Learning A-Z™: Hands-On Python & R in Data Science

Join the Machine Learning A-Z™: Hands-On Python & R in Data Science course provided by Udemy. This comprehensive training covers a range of essential topics such as Machine Learning, Python, R Programming, Advanced Data Visualization, Linear Regression, Decision Trees, NumPy, and Pandas. Suited for enthusiasts and professionals alike, this course f.
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provider Udemy
pricing Paid Course
duration 15 hours 10 minutes
sessions On-Demand

Data Science: Supervised Machine Learning in Python

Title: Data Science: Supervised Machine Learning in Python Description: Dive into the world of supervised machine learning algorithms! This comprehensive guide covers classic machine learning techniques using Python and the popular Scikit-Learn library. Perfect for Python programmers and data enthusiasts, this course on Udemy offers practical knowl.
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provider Udemy
pricing Paid Course
duration 6 hours 23 minutes
sessions On-Demand

Cluster Analysis and Unsupervised Machine Learning in Python

Join our impactful online course, "Cluster Analysis and Unsupervised Machine Learning in Python," available on Udemy. This course dives deep into advanced data science techniques, including pattern recognition, data mining, k-means clustering, hierarchical clustering, and Kernel Density Estimations (KDE). Ideal for students and professionals eager.
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provider Udemy
pricing Paid Course
duration 7 hours 56 minutes
sessions On-Demand

Deep Learning: Recurrent Neural Networks in Python

Title: Deep Learning: Recurrent Neural Networks in Python Description: This comprehensive course on Udemy explores the cutting-edge technology of Recurrent Neural Networks (RNNs) in Python, focusing on GRU, LSTM, Time Series Forecasting, Stock Predictions, and Natural Language Processing (NLP) using Artificial Intelligence. Whether you're looking t.
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provider Udemy
pricing Paid Course
duration 12 hours 58 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!