Python courses

532 Courses

2022 Complete Data Structures: Data Structures With Python

Embark on a comprehensive journey through data structures with the 2022 Complete Data Structures: Data Structures With Python course. Perfect for absolute beginners and seasoned developers alike, this course will guide you through the essentials of Python and the implementation of various data structures, enhancing your skills to build advance.
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Python Dersleri: Sıfırdan İleri Seviyeye Temel Eğitim

Python Dersleri: Sıfırdan İleri Seviyeye Temel Eğitim Python Dersleri: Sıfırdan İleri Seviyeye Temel Eğitim Sıfırdan başlayarak, veri bilimi ve yapay zeka gibi birçok ileri düzey alan için kendinize güçlü bir temel oluşturacaksınız. Üniversite: Udemy Yapay Zeka Kursları Python Kursları Makine Öğrenmesi Kursları Veri Bilimi Kursları
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provider Udemy
pricing Paid Course
duration 16 hours 7 minutes
sessions On-Demand

The Ultimate Guide to Game Development with Python3 (AI too)

The Ultimate Guide to Game Development with Python3 (AI too) The Ultimate Guide to Game Development with Python3 (AI too) Master the art of game development with Python3 and create thrilling games such as 8 Pool Ball, Chain Reaction, Balloon Shooter, Space Shooter, Racing Car, Angry Bird, Tetris, and many more. This comprehensive gui.
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Learn Python3 Programming

Master the core concepts of Python3 programming tailored for Software Testers, Developers, Data Scientists, and Machine Learning enthusiasts. Dive into crucial topics and enhance your proficiency in Python to effectively tackle real-world challenges in various tech domains. Categories: Artificial Intelligence Courses, Python Courses, Machine L.
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Time Series Analysis Real world use-cases in python

Master the art of solving real-world business problems through comprehensive time series analysis and forecasting using Python. This course will equip you with the skills to build robust time series models and apply them to practical scenarios.
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Python pour le Deep Learning & le Machine Learning: A à Z

Python pour le Deep Learning & le Machine Learning: A à Z Plongez dans l'univers fascinant du Machine Learning avec notre cours complet Python pour le Deep Learning & le Machine Learning: A à Z. Ce programme détaillé vous guidera à travers les bases et les avancées nécessaires pour maîtriser l'intelligence artificielle, les outils TensorFlow, et.
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IBM Data Engineering

IBM Data Engineering Prepare for a career in the high-growth field of data engineering. In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months. Data engineering involves building systems to gather, process, and organize raw data into usable information, and manage it effectively. The f.
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Learn Machine Learning Course with Python A to Z

Learn Machine Learning Course with Python A to Z Course Title: Learn Machine Learning Course with Python A to Z Description: Gain a solid understanding of machine learning concepts, algorithms, and applications in various fields. This comprehensive course offered by Udemy equips you with the skills needed to excel in the exciting field of machin.
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Building a Recommendation System with Python Machine Learning & AI

Discover how to use Python to build programs that can make recommendations. This hands-on course explores different types of recommendation systems and shows how to build each one. Categories: Artificial Intelligence Courses, Python Courses, Machine Learning Courses, Programming Courses, Recommender Systems Courses.
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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!