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Python courses

937 Courses

California Institute of Technology Udemy

Self-Supervised Learning A-Z: Theory & Hands-On Python

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California Institute of Technology Udemy

Python for Social Media Analytics

Unlock the power of data in social media marketing with our comprehensive course, Python for Social Media Analytics, offered by Udemy. Dive into the dynamic world of digital marketing and data science, and learn how to effectively analyze social media platforms using Python. Whether you're a budding data scientist or a digital marketing profe.
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California Institute of Technology Udemy

Getting Started with Data Management

Embark on your journey to mastering data management with our comprehensive course, 'Getting Started with Data Management,' offered by Udemy. This course is tailored to help you understand how organizations manage their data effectively. Gain foundational knowledge in data analysis using industry-standard tools like Python and SQL. Unlock the p.
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California Institute of Technology Udemy

Machine Learning Project: Heart Attack Prediction Analysis

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California Institute of Technology Udemy

Quantum Computing and Quantum Machine Learning - Part 1

Quantum Computing and Quantum Machine Learning - Part 1 | Foundational Course Embark on a journey into the world of quantum computing and quantum machine learning with our comprehensive foundational course. Offered by Udemy, this course is perfect for anyone looking to delve into the advanced realms of technology and science. E.
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California Institute of Technology Udemy

Full Stack Web Development with Python and Django Course

Embark on a transformative learning journey with our Full Stack Web Development with Python and Django course on Udemy. This course is designed for everyone who aspires to become a proficient web developer. Gain hands-on experience in building dynamic websites and powerful web applications using modern technologies such as HTML, CSS, Bootstra.
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California Institute of Technology Udemy

Machine Learning for Interviews & Research and DL basics

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California Institute of Technology Udemy

Introduction to Data Engineering using Generative AI

Unlock the Potential of Data Engineering with Generative AI: Dive into the transformative world of data engineering with our beginner-friendly course on Udemy. "Introduction to Data Engineering using Generative AI" offers a hands-on approach to mastering the use of Generative AI and Large Language Models (LLMs) for effect.
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California Institute of Technology Udemy

A/B Testing in Python

Embark on a journey to enhance your business performance with the "A/B Testing in Python" course offered by Udemy. This course equips you with the skills to define, commence, and interpret the results of A/B tests, providing you with valuable insights to make informed decisions. Whether you're delving into Python, data analysis, marketing.
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California Institute of Technology Udemy

An Introduction to Computational Fluid Dynamics

Embark on a fascinating journey into the world of Computational Fluid Dynamics with our online course titled "An Introduction to Computational Fluid Dynamics" on Udemy. Experience a minimal-pain pathway to creating your first CFD Solver, ideal for beginners and enthusiasts aiming to delve into fluid dynamics. This course is specially designed.
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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!