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Python courses

937 Courses

California Institute of Technology Udemy

Oracle Cloud ERP(SaaS) Technical- ICS/VBCS, Dell Boomi Bonus

Delve into the comprehensive Oracle Cloud ERP (SaaS) Technical course presented by Udemy. This specialized course provides a deep understanding of cloud reports, integrations using ICS, conversions, and extensions. As a bonus, gain insights into ICS/VBCS and the powerful Dell Boomi platform. Tailored for those engaged in or aspiring to master t.
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California Institute of Technology Coursera

Oracle Cloud Infrastructure Generative AI Professional

Enhance your expertise in cloud-based artificial intelligence by enrolling in the Oracle Cloud Infrastructure Generative AI Professional course. This course is designed to provide you with a deep understanding of Large Language Models (LLMs) and guide you through mastering the OCI Generative AI Service. You will also learn to build an innovat.
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California Institute of Technology Udemy

Universal Deep Learning Mastery - 2024 Edition with Updated

Join the "Universal Deep Learning Mastery - 2024 Edition" on Udemy and become a deep learning expert. This comprehensive course will guide you through the process of building intuition from a single neuron to complex deep neural networks, using industry-standard tools like Keras and Tensorflow. Perfect for anyone looking to advance their ski.
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California Institute of Technology Udemy

The Ultimate Beginners Guide to Face Detection & Recognition

Embark on a transformative learning journey to master face detection and recognition from images, videos, and webcams, utilizing powerful libraries like OpenCV and Dlib. This course, crafted for beginners, empowers you with the skills to effectively implement facial recognition solutions in Python. Offered on Udemy, this training cover.
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California Institute of Technology Udemy

Master Python for Data Analysis and Business Analytics 2025

Supercharge your data analysis capabilities and propel your business analytics to new heights with our comprehensive Python for Data Science course. Designed for individuals looking to enhance their skills, this course offers in-depth knowledge and practical applications, empowering you to transform data into actionable insights. Whether you.
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California Institute of Technology Udemy

Mining and Analyzing LinkedIn Data

Discover how to leverage data science and artificial intelligence to extract valuable insights from your LinkedIn network. This course, offered by Udemy, equips you with the skills to apply advanced techniques such as data mining, sentiment analysis, and k-means clustering. Whether you are a data enthusiast or a professional looking to enhance.
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California Institute of Technology Udemy

RAG, AI Agents and Generative AI with Python and OpenAI 2025

Enhance your skills by diving into the world of Generative AI and Retrieval-Augmented Generation (RAG) with Python in this Udemy course. Perfect for those aiming to master AI Agents, Agentic RAG, and the powerful functionalities of the OpenAI API, this course offers extensive insights into cutting-edge AI technologies. Categories covered incl.
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California Institute of Technology Udemy

LLM Fine Tuning Fundamentals + Fine tune OpenAI GPT model

Unlock the potential of language model fine-tuning with our expert-led course on Udemy. Delve into the fundamentals of LLM and gain practical experience with hands-on sessions designed to enhance your ability to fine-tune OpenAI's GPT model using your own custom data. This course is a must for those seeking to expand their knowledge in Machi.
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California Institute of Technology Udemy

Data Analysis Fundamentals | Python | ChatGPT 3.5

Embark on a comprehensive journey into the world of data analytics with our course, "Data Analysis Fundamentals | Python | ChatGPT 3.5." Perfect for beginners and tech enthusiasts, this course is meticulously designed to guide learners from basic concepts to advanced applications in data analytics. Our course leverages the power of Python,.
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California Institute of Technology Udemy

Data Science & Python - Maths, models, Stats PLUS Case Study

Embark on an in-depth journey into the world of data science and Python with our course: Data Science & Python - Maths, Models, Stats PLUS Case Study. Offered on Udemy, this course covers essential topics such as statistics, inferential tests, and both supervised and unsupervised learning methods. Explore the vast career opportunities in data s.
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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!