Python courses

949 Courses

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350+ Exercises - Python Programming Mega Pack - OOP

Title: 350+ Exercises - Python Programming Mega Pack - OOP Description: Dive deep into Python programming with our comprehensive Mega Pack, specifically designed to enhance your skills in Object-Oriented Programming (OOP). Enroll now to unlock the full potential of OOP and elevate your coding prowess with over 350 exercises. Available exclusively o.
provider Udemy
sessions On-Demand
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TensorFlow for AI: Get to Know Tensorflow

TensorFlow for AI: Get to Know TensorFlow This guided project course is part of the "TensorFlow for AI" series, and it builds on the foundational DeepLearning.AI TensorFlow Developer Professional Certificate offered by Coursera. This series helps learners reinforce their skills and develop more TensorFlow-based projects. In this 1-hour project-.
provider Coursera
sessions On-Demand
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Game Development (Android + IOS): Build 12 Apps & Games

Game Development (Android + IOS): Build 12 Apps & Games Enroll in this comprehensive course on Udemy to learn game development for both Android and iOS platforms. You'll build 12 exciting projects, including popular titles like the 2048 game and Flappy Bird, as well as practical tools like Credit Card Validation and a Scientific Calculator. Ca.
provider Udemy
sessions On-Demand
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Build & Host ML Apps (Python) + Top Data Science projects

Build & Host ML Apps (Python) + Top Data Science Projects | Udemy Build & Host ML Apps (Python) + Top Data Science Projects Provider: Udemy Categories: Artificial Intelligence Courses, Python Courses, Streamlit Courses Learn to build and host powerful machine learning applications using Python and Streamlit. This comprehensive course covers key.
provider Udemy
sessions On-Demand
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Deep learning Preparation Course in Arabic Part 1 : Python

Deep Learning Preparation Course in Arabic Part 1: Python | Udemy Enroll in the Deep Learning Preparation Course in Arabic Part 1: Python to master Python and embark on your machine learning journey. Be a learning machine with our course offered by Udemy. This course will equip you with essential skills and knowledge in Python, setting a.
provider Udemy
sessions On-Demand
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Data Science - Master Analytics and become Data Scientist

Title: Data Science - Master Analytics and Become a Data Scientist Description: Learn Python, RLang, Neural Networks, ANN, Deep Learning - Tools, software like KNIME, Spark, SciPy, Tableau, and others. University:  Provider:  Categories: Python Courses, Deep Learning Courses, Neural Networks Courses, Data Science Courses, SciPy Courses, K.
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Interpretable Machine Learning Applications: Part 4

Interpretable Machine Learning Applications: Part 4 Join this 1-hour guided project to explore the 'What-If' Tool (WIT) in the context of training and testing machine learning prediction models. You'll gain hands-on experience in: Setting up a machine learning application using Python in an interactive notebook on Google's Colaboratory envir.
provider Coursera
sessions On-Demand
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Python, Guía de inicio

Python, Guía de inicio | Udemy Domina los fundamentos de Python con nuestro curso "Python, Guía de inicio" en Udemy. Este curso es ideal para quienes desean crear aplicaciones en diversos campos como: Ciencia de datos Inteligencia Artificial (IA) Robótica Desarrollo web BigData Explora cómo Python puede convertirse en tu herramienta.
provider Udemy
sessions On-Demand
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Python:Corona Virüs Veri Analizi ile Yapay Zeka için Python

Python: Corona Virüs Veri Analizi ile Yapay Zeka için Python Python ve programlamanın mantığını anlayarak yapay zeka dünyasına adım atın. Bu kurs ile Corona Virüsü analiz ederek verileri görselleştirebileceksiniz. Kategoriler: Artificial Intelligence Courses Python Courses Matplotlib Courses NumPy Courses pandas Courses Data Visua.

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!