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Python courses

949 Courses

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California Institute of Technology Udemy

Data Science, Machine Learning, Data Analysis, Python & R

Join our FREE Course on Data Science, Machine Learning, Data Analysis, and Data Visualization using the popular programming languages Python and R. Offered by Udemy, this course is perfect for beginners and seasoned professionals keen to enhance their skills in data handling and analytics. Explore essential topics in Python Courses, Machine Learnin.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Learn Python Programming Masterclass

Learn Python Programming Masterclass Dive into the world of coding with our Python for Beginners course, designed to teach you the essentials of the Python language quickly and effectively. This comprehensive course includes hands-on Python online training with the latest Python 3 version, provided by Udemy. Whether you're interested in software de.
provider Udemy
sessions On-Demand
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California Institute of Technology Cybrary

Developing Ethical Hacking Tools with Python

Explore the realm of cybersecurity with "Developing Ethical Hacking Tools with Python", offered by Cybrary. This course delves into the distinctive advantage ethical hackers gain by coding their own tools, primarily using Python due to its simplicity and powerful capabilities. Throughout this course, participants will learn to harness various Pytho.
provider Cybrary
sessions On-Demand
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California Institute of Technology Udemy

Try Django 2.2 - Web Development with Python 3.6+

Join our highly interactive course, "Try Django 2.2 - Web Development with Python 3.6+", hosted on Udemy. This course plunges you into the practical aspects of building a web application using Django, which stands as Python's top web framework. Whether you're interested in Python Courses, Web Development, Bootstrap, or Django courses, this comprehe.
provider Udemy
sessions On-Demand
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California Institute of Technology DataCamp

Image Processing in Python

Title: Image Processing in Python Description: Dive into the dynamic field of image processing with our comprehensive course "Image Processing in Python". This tutorial is designed for those eager to master the art of transforming, manipulating, and enhancing images using Python. Understand the crux of image preprocessing, a skill that has become i.
provider DataCamp
sessions On-Demand
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California Institute of Technology edX  Professional Certificate

Data Engineering Fundamentals

Title: Data Engineering Fundamentals Description: Dive into the core of data management with the Data Engineering Fundamentals course offered by edX. This Professional Certificate program sums up everything you need to start your journey in data engineering, covering key areas such as Python, Data Science, Data Visualization, and SQL. University: T.
provider edX  Professional Certificate
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California Institute of Technology Udemy

QC101 Quantum Computing & Intro to Quantum Machine Learning

Title: QC101 Quantum Computing & Intro to Quantum Machine Learning Description: Dive into the realm of quantum computing with a mathematics-focused introduction. This course covers the foundational aspects of quantum computing, cryptography, and introduces quantum machine learning. Participants will have the opportunity to code using Python, Q#.
provider Udemy
sessions On-Demand
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California Institute of Technology Microsoft Learn

Explore space with Python and Visual Studio Code; inspired by Netflix's Over the Moon

Delve into an exciting journey of data exploration and machine learning, inspired by Netflix’s movie Over the Moon. Join this Microsoft Learn course to harness the power of Python and Visual Studio Code to undertake your own space missions, predict meteor showers, and analyze wildlife pictures. Module 1: Mission Planning with Python & pandas –.
provider Microsoft Learn
sessions On-Demand
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California Institute of Technology Udemy

Try Django 1.11 // Python Web Development

Join our comprehensive online course "Try Django 1.11 // Python Web Development" on Udemy, featuring the renowned #1 Web Development Framework for Python, Django. This course is perfect for anyone looking to build robust web applications. Explore key concepts in Python, Django, and Bootstrap, and advance your skills in these crucial web development.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Complete linear algebra: theory and implementation in code

Event Title: Complete Linear Algebra: Theory and Implementation in Code Description: Master key concepts in linear algebra and matrix analysis, and learn to implement them practically using MATLAB and Python. This comprehensive course is ideal for anyone looking to deepen their understanding of linear algebra, whether for academic, professional dev.
provider Udemy
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!