Python courses

587 Courses

Procesamiento del lenguaje natural con Python y Power BI

Procesamiento del Lenguaje Natural con Python y Power BI Procesamiento del Lenguaje Natural con Python y Power BI Este proyecto es un curso práctico y efectivo para aprender acerca del Procesamiento Natural del Lenguaje, centrándote en la parte de Topic Modelling. Aprenderás a cómo analizar tus textos mediante Pyt.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand

Full Stack Web Developer with AI & ML Integration|Hindi|Urdu

Full Stack Web Developer with AI & ML Integration | Hindi | Urdu Enhance your skills with our comprehensive Full Stack Web Development Course, integrating Machine Learning and Artificial Intelligence using Python and Django. This course is designed for Hindi and Urdu speakers and is offered by Udemy, covering essential areas such as: Artif.
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provider Udemy
pricing Paid Course
duration 1 day 13 hours 9 minutes
sessions On-Demand

Python: Yapay Zeka için Python Programlama (1)

Python: Yapay Zeka için Python Programlama (1) Python: Yapay Zeka için Python Programlama (1) Üniversite: Udemy Bir Profesyonel gibi Python öğrenin! Temel konulardan başlayın ve Yapay Zeka öğrenmek için gerekli temelleri atın!
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provider Udemy
pricing Paid Course
duration 9 hours 45 minutes
sessions On-Demand

Data Visualization: A'dan Z'ye Veri Görselleştirme (3)

Data Visualization: A'dan Z'ye Veri Görselleştirme (3) | Udemy Bir Profesyonel gibi Veri Görselleştirme öğrenin! Python ile Seaborn, Plotly ve Matplotlib konularının temellerini atın! Kategoriler: Yapay Zeka Kursları, Python Kursları, Veri Bilimi Kursları, Matplotlib Kursları, Veri Görselleştirme Kursları, Seaborn Kursları
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provider Udemy
pricing Paid Course
duration 10 hours 24 minutes
sessions On-Demand

Deep Learning ve Python: A'dan Z'ye Derin Öğrenme (5)

Deep Learning ve Python: A'dan Z'ye Derin Öğrenme (5) Python ile Derin Öğrenme (Deep Learning) algoritmaları geliştirerek Yapay Zeka amacımıza bir adım daha yaklaşalım - 2020. University: Udemy Categories: Artificial Intelligence Courses, Python Courses, Deep Learning Courses
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provider Udemy
pricing Paid Course
duration 8 hours 48 minutes
sessions On-Demand

Data Science ve Python: Sıfırdan Uzmanlığa Veri Bilimi (2)

Data Science ve Python: Sıfırdan Uzmanlığa Veri Bilimi (2) | Udemy Bir Profesyonel gibi Data Science (Veri Bilimi) öğrenin ve Yapay Zeka öğrenmek için gerekli temelleri atın! Udemy tarafından sunulan bu kapsamlı kurs, sıfırdan uzmanlığa veri bilimi becerileri kazanmanızı sağlar. Kategoriler: Artificial Intelligence Courses, Python Courses.
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provider Udemy
pricing Paid Course
duration 6 hours 33 minutes
sessions On-Demand

Machine Learning ve Python: A'dan Z'ye Makine Öğrenmesi (4)

Machine Learning ve Python: A'dan Z'ye Makine Öğrenmesi (4) | Udemy Makine Öğrenmesi ve Python: A'dan Z'ye Makine Öğrenmesi (4) Üniversite:   Udemy Kategoriler:   Yapay Zeka Kursları, Python Kursları, Makine Öğrenmesi Kursları, Veri Bilimi Kursları Python ile Machine Learning algoritmaları geliştirerek Yap.
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provider Udemy
pricing Paid Course
duration 17 hours 48 minutes
sessions On-Demand

Machine Learning Basics in Hindi हिंदी - Regression Analysis

Machine Learning Basics in Hindi हिंदी - Regression Analysis | Udemy हिंदी में सीखें Machine Learning के Basics - यह कोर्स Simple Linear Regression और Multiple Linear Regression को Python में कवर करता है। University: - Provider: Udemy Categories: Python Courses, Machine Learning Courses, Data Analysis Courses, Regression Analysis.
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provider Udemy
pricing Paid Course
duration 5 hours 38 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!