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Python courses

702 Courses

California Institute of Technology

Data Science: Modern Deep Learning in Python

Data Science: Modern Deep Learning in Python Master the latest deep learning techniques using cutting-edge libraries such as Tensorflow, Theano, Keras, PyTorch, CNTK, and MXNet. Accelerate your training processes by leveraging GPU power on AWS. Categories: Python Courses Deep Learning Courses Neural Networks Courses TensorFlow Courses Ke.
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California Institute of Technology Udemy

Ensemble Machine Learning in Python: Random Forest, AdaBoost

Learn the powerful ensemble methods in machine learning including Random Forest, AdaBoost, Boosting, Bagging, and Bootstrap with this hands-on course offered by Udemy. Designed for data science enthusiasts, this course will guide you through the practical applications of these techniques using Python. Embark on your data science journey by enro.
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provider Udemy
pricing Paid Course
duration 5 hours 46 minutes
sessions On-Demand
California Institute of Technology Udemy

Data Visualization with Python and Power BI

Learn to create compelling Power BI reports and vibrant visual charts with Python's powerful libraries, Matplotlib and Seaborn. Boost your business intelligence expertise and become proficient in data visualization.
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provider Udemy
pricing Paid Course
duration 1 hour 36 minutes
sessions On-Demand
California Institute of Technology Udemy

Data Analysis with Python: NumPy & Pandas Masterclass

Data Analysis with Python: NumPy & Pandas Masterclass Learn NumPy & Pandas for data science, data analysis, and business intelligence with practical, hands-on Python projects! Enroll in this comprehensive course provided by Udemy, which is designed to enhance your skills across multiple categories including Python, Data Analy.
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provider Udemy
pricing Paid Course
duration 14 hours
sessions On-Demand
California Institute of Technology Udemy

Machine Learning with Python from Scratch

Machine Learning with Python from Scratch | Udemy Learn to master Machine Learning Algorithms from the ground up, including essential skills in Neural Networks using Numpy, Pandas, Matplotlib, Seaborn, and Scikit-Learn. This course is offered by Udemy and provides the knowledge you need to excel in the field. Join now to start.
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provider Udemy
pricing Paid Course
duration 13 hours
sessions On-Demand
California Institute of Technology Udemy

ChatGPT Plugins: The Complete Guide

ChatGPT Plugins: The Complete Guide Unlock the full potential of ChatGPT with our extensive guide, perfect for both beginners and advanced users. Our course on Udemy covers everything you need to know, from the installation of plugins to advanced usage techniques. Whether you're new to ChatGPT or looking to enhance your skills, this guide is ta.
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provider Udemy
pricing Paid Course
duration 8 hours 44 minutes
sessions On-Demand
California Institute of Technology Udemy

Trending Stocks with Python, Reddit, Twitter, and ChatGPT

Trending Stocks with Python, Reddit, Twitter, and ChatGPT | Udemy Learn how to use Python, PRAW, the Twitter API, and the OpenAI API to unlock insights on trending stocks. University: Provider: Udemy Categories: Python Courses, Data Analysis Courses, ChatGPT Courses
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provider Udemy
pricing Paid Course
duration 3 hours 46 minutes
sessions On-Demand
California Institute of Technology Udemy

ChatGPT for Programmers: Build Python Apps in Seconds

ChatGPT for Programmers: Build Python Apps in Seconds Unlock the potential of ChatGPT in your programming projects with our comprehensive course on Udemy. Designed for programmers who want to streamline their app development, fix bugs quickly, and automate workflows efficiently, this course is perfect for both beginners and experienced develope.
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provider Udemy
pricing Paid Course
duration 2 hours 6 minutes
sessions On-Demand
California Institute of Technology Coursera

Gen AI for Code Generation for Python

Gen AI for Code Generation for Python | Coursera Welcome to the 'Gen AI for Code Generation for Python' course, where you'll embark on a journey to explore and develop your skills in the art of code generation with Generative AI. Throughout this short course, you will delve into various techniques for generating Python code effo.
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provider Coursera
pricing Free Online Course (Audit)
duration 4-5 hours
sessions On-Demand
California Institute of Technology Coursera

Coding with Generative AI

Coding with Generative AI Coding with Generative AI This microlearning course (approximately 3 hours) provides an introductory exploration of the fundamental concepts of Generative AI with a specific focus on its application for coders. You will gain an understanding of the underlying principles of generative AI and learn.
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provider Coursera
pricing Free Online Course (Audit)
duration 3-4 hours
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!