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Python courses

949 Courses

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California Institute of Technology Udemy

Learn Python Programming: by Building a Facebook ChatBot App

Course Title: Learn Python Programming: by Building a Facebook ChatBot App Description: Dive deep into Python programming by joining our comprehensive course on Udemy, designed for learners eager to master Python basics through practical, step-by-step examples. This unique course not only illuminates the fundamentals of Python but also guides you t.
provider Udemy
sessions On-Demand
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California Institute of Technology Coursera

Deploy Bridgerton NLP SMS Text Generator

Join our thrilling guided project, "Deploy Bridgerton NLP SMS Text Generator," and embark on a journey to create and deploy an advanced NLP text generator. This unique project allows you to dive into the world of machine learning with a focus on deploying a natural language processing model specifically designed to send SMS messages filled with gen.
provider Coursera
sessions On-Demand
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California Institute of Technology Udemy

Deep Learning: Convolutional Neural Networks for developers

Embark on a transformative learning journey with "Deep Learning: Convolutional Neural Networks for Developers," offered by Udemy. This meticulously designed course caters specifically to developers eager to master Deep Learning, with a concentrated focus on the intricacies of Convolutional Neural Networks (CNN) architectures. Whether you're looking.
provider Udemy
sessions On-Demand
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California Institute of Technology Pluralsight

Build an Object Detection Model with Python

Discover the power of object detection and its vast applications from home to industrial settings with our comprehensive course, "Build an Object Detection Model with Python". Offered by Pluralsight, this course dives deep into the realm of artificial intelligence, specifically focusing on machine learning, computer vision, and object detection. Wh.
provider Pluralsight
sessions On-Demand
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California Institute of Technology Udemy

Computer Vision: Python OCR & Object Detection Quick Starter

Embark on a journey to mastering Computer Vision with our comprehensive online course, "Computer Vision: Python OCR & Object Detection Quick Starter," offered exclusively on Udemy. This course is meticulously structured for beginners and professionals alike, aiming to impart essential skills in Optical Character Recognition (OCR), Image Recognition.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

2024 Introduction to Spacy for Natural Language Processing

Discover the power of Natural Language Processing (NLP) with our 2024 Introduction to Spacy course, exclusively on Udemy. This specialized course is tailored for individuals aiming to advance their Data Science skills, focusing solely on Spacy to provide an in-depth understanding of NLP. Unlike other courses, we do not cover NLTK, ensuring a dedica.
provider Udemy
sessions On-Demand
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California Institute of Technology LinkedIn Learning

Advanced NLP with Python for Machine Learning

Advanced NLP with Python for Machine Learning | LinkedIn Learning Embark on a journey to deepen your natural language processing (NLP) capabilities with the Advanced NLP with Python for Machine Learning course available on LinkedIn Learning. This course is meticulously designed for individuals eager to explore beyond the basics of NLP and gain ex.
provider LinkedIn Learning
sessions On-Demand
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California Institute of Technology LinkedIn Learning

Deep Learning: Image Recognition

Discover the world of deep learning with our comprehensive course on designing, building, and deploying deep neural networks for image recognition systems, offered through LinkedIn Learning. This course is tailored for enthusiasts and professionals alike who are eager to dive into the realms of Python, Deep Learning, Neural Networks, TensorFlow, Ke.
provider LinkedIn Learning
sessions On-Demand
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California Institute of Technology Udemy

Sentiment Analysis with NLP using Python and Flask

Explore the realm of sentiment analysis through our comprehensive course, "Sentiment Analysis with NLP using Python and Flask," offered exclusively on Udemy. This unique program is meticulously designed for both beginners and seasoned professionals who wish to delve deeper into the fascinating world of Natural Language Processing (NLP). With Python.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

NLP Course for Beginner

Embark on a journey to mastering Natural Language Processing (NLP) with our beginner-friendly course. Offered by Udemy and tailored for those eager to delve into text data analysis, this course covers the essentials of NLP. Whether you're interested in Python programming, or keen on exploring the realms of sentiment analysis within the domain of Na.
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!