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Python courses

702 Courses

California Institute of Technology Udemy

Algorithmic Trading with Python: Machine Learning strategies

Algorithmic Trading with Python: Machine Learning Strategies - Udemy Course Discover the power of algorithmic trading with our comprehensive course on 'Algorithmic Trading with Python: Machine Learning Strategies'. This course is designed to equip you with advanced skills in Artificial Intelligence and Machine Learning tailored for the trading la.
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California Institute of Technology Udemy

QC101 Quantum Computing & Intro to Quantum Machine Learning

QC101 Quantum Computing & Intro to Quantum Machine Learning Embark on a comprehensive journey into the realm of quantum technologies with the QC101 course, designed to introduce you to the fundamental math concepts driving Quantum Computing, Cryptography, and Quantum Machine Learning. Enhance your coding prowess using Python, Q#, and Qiskit,.
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California Institute of Technology Udemy

Data Science Real-World Case Studies - Hands On Python

Enhance your data science skills by working on practical projects in the fields of Artificial Intelligence, Machine Learning, Natural Language Processing, and Time Series analysis. This hands-on course, provided by Udemy, empowers you with the expertise required to embark on a career as a Data Scientist or Machine Learning Engineer. Perfect fo.
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California Institute of Technology Udemy

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

Explore the world of Deep Learning and learn to construct Neural Networks using state-of-the-art tools like TensorFlow 2.0 and Keras, available in both Python and R environments. This course offered by Udemy provides in-depth knowledge and practical experience in applying these cutting-edge technologies. Whether you're a tech enthusiast, a.
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California Institute of Technology Udemy

Artificial Neural Network for Regression

Embark on an enlightening journey with our online course, "Artificial Neural Network for Regression," offered by Udemy. In this course, you will gain vital skills to construct an ANN Regression model tailored for forecasting the electrical energy output of a Combined Cycle Power Plant. Integrate the principles of Python, delve into deep learnin.
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California Institute of Technology Udemy

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

Data Visualization: A'dan Z'ye Veri Görselleştirme kursuna katılarak, profesyonel seviyede veri görselleştirme tekniklerini öğreneceksiniz. Python programlama dilini kullanarak, Seaborn, Plotly ve Matplotlib gibi güçlü araçların temellerini atacak ve veri analizi yeteneklerinizi geliştireceksiniz. Bu kapsamlı kurs, yapay zeka, veri bilimi ve.
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California Institute of Technology Udemy

Python pour le Deep Learning & le Machine Learning: A à Z

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California Institute of Technology Udemy

Machine Learning Komplettkurs mit Python [2024 Edition]

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California Institute of Technology Udemy

Python:Corona Virüs Veri Analizi ile Yapay Zeka için Python

Bu kursla birlikte, Python ve programlama mantığını derinlemesine öğrenerek yapay zeka dünyasına etkili bir adım atın. Corona virüsünü veri analizi yoluyla inceleyerek, bu verileri etkili bir şekilde görselleştirmeyi öğreneceksiniz. Kurs, aşağıdaki konularda kapsamlı bilgiler sunmaktadır: Python ve yapay zeka temelleri Corona virüs veri.
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California Institute of Technology Udemy

Face Recognition using Python Language

Unlock the potential of face recognition technology with our comprehensive course available on Udemy. Dive into the world of Artificial Intelligence and learn how to create robust face recognition applications using Python through a simple, step-by-step approach. Enhance your skills with this expertly designed program, perfect for enthusiasts.
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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!