Python courses

587 Courses

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

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

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

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

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

Master in Advance Python

Title: Master in Advanced Python Description: Elevate your programming skills with our comprehensive course on Udemy titled Master in Advanced Python. This course is perfect for those looking to delve deeper into Python by understanding its core concepts, applying knowledge through practical programming, and developing impressive projects, includin.
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provider Udemy
pricing Paid Course
duration 9 hours 52 minutes
sessions On-Demand

Python For Beginners By Imran Syed

Title: Python For Beginners By Imran Syed Description: Dive into the world of Python effortlessly with our straightforward and engaging approach, designed by Imran Syed and hosted on Udemy. Say goodbye to dull content and welcome a fun learning experience that covers essentials, object-oriented programming, and web scraping. University: None Provid.
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provider Udemy
pricing Paid Course
duration 6 hours
sessions On-Demand

Face Recognition using Python Language

Join our comprehensive online course, "Face Recognition using Python Language," offered by Udemy in collaboration with a distinguished University. Dive into the world of AI through our easy-to-follow modules that teach you how to develop face recognition applications using Python. This course is perfect for learners interested in Artificial Intelli.
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provider Udemy
pricing Paid Course
duration 5 hours 39 minutes
sessions On-Demand

Python for Data Science

Title: Python for Data Science Description: Explore the realm of data science with our comprehensive course on Udemy! This course covers essential topics such as Data Visualization, Data Analysis, NumPy, Machine Learning, Pandas, Data Pipelines, Methodologies, and Python Notebook. Whether you're beginning your journey in data science or looking to.
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provider Udemy
pricing Paid Course
duration 9 hours 9 minutes
sessions On-Demand

Practical Machine Learning by Example in Python

Event Title: Practical Machine Learning by Example in Python Description: Join our comprehensive workshop "Practical Machine Learning by Example in Python," offered by Udemy, where you'll learn hands-on how to construct both machine learning and deep learning models. This course is perfect for those looking to dive deep into the realms of Python, w.
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provider Udemy
pricing Paid Course
duration 8 hours 46 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!