Python courses

702 Courses

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

All-in-One:Machine Learning,DL,NLP,AWS Deply [Hindi][Python]

Title: All-in-One: Machine Learning, Deep Learning, NLP, AWS Deployment [Hindi][Python] Description: Dive into the world of machine learning with our comprehensive course that covers everything from data science and NLP to deep learning and artificial intelligence. Offered in Hindi and utilizing Python, this course is ideal for those looking to exp.
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provider Udemy
pricing Paid Course
duration 18 hours
sessions On-Demand

Machine Learning using Python Programming

Title: Machine Learning using Python Programming Description: This course offers the opportunity to dive deep into Machine Learning, exploring its fundamental theories and algorithms. You will learn how to effectively implement these algorithms using Python 3, focusing on practical applications and data analysis skills. University: Not Applicable.
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provider Udemy
pricing Paid Course
duration 8 hours 3 minutes
sessions On-Demand

Python For Beginners: Scripting Programming With Python 3

Python For Beginners: Scripting Programming With Python 3 - Dive into the world of Python with this comprehensive course tailored for beginners, offered on Udemy. Grasp essential Python 3 scripting skills through a series of practical examples that will set you on the path to mastering Python. This course is ideal for anyone interested in Python Co.
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provider Udemy
pricing Paid Course
duration 2-3 hours
sessions On-Demand

Python for Beginners: Learn Python Programming (in Python 3)

Embark on your programming journey with the Python for Beginners: Learn Python Programming (in Python 3) course, available now on Udemy. Tailored for beginners, this course provides a rapid introduction to the Python programming language, helping you shift from novice to knowledgeable in a short span of time. Engage in comprehensive training specif.
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provider Udemy
pricing Paid Course
duration 10 hours 55 minutes
sessions On-Demand

Just Enough Python for Machine Learning and AI

Title: Just Enough Python for Machine Learning and AI Description: Master the essentials of Python for Machine Learning and Artificial Intelligence, including Python Core, Numpy, and Pandas. Presented by Udemy, this course focuses on making data actionable and effective for real-world applications in AI and ML. Provider: Udemy Categories: Python Co.
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provider Udemy
pricing Paid Course
duration 5 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!