Starting a career in Python is anything but easy. But by following the right practices, it can be possible for the developers.

Google’s legendary applied AI course designed for beginners and experts alike

Yup, it’s yet another “intro to k8s” article. The world didn’t need it, you didn’t ask for it, and yet I already had it in a gist somewhere

Article comparing new features of two of the most recent versions of the Python programming language.

Ever wondered how large enterprise scale systems are designed? Before major software development starts, we have to choose a suitable architecture that will provide us with the desired functionality and quality attributes. According to Wikipedia, an architectural…

Learn how to responsibly design, develop, deploy and iterate on production ML applications.

Prepare for the Google Cloud Digital Leader Certification and pass!

✏️ Developed by Andrew Brown of ExamPro.
🔗 https://www.youtube.com/ExamProChannel
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☁️ Intro
🎤 0:00:00 Intro
🎤 0:13:29 Exam Guide Breakdown
🎤 0:22:11 Additional GCP…

Learn the basics of the NumPy library in this tutorial for beginners. It provides background information on how NumPy works and how it compares to Python's Built-in lists. This video goes through how to write code with NumPy. It starts with the basics of…

By leveraging vectorization and data types, you can massively speed up complex computations in Pandas

Everything you need to know about Pandas to start increasing your productivity with code examples

📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage. - life4/textdistance

Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.

🔗 Learning resources: https://github.com/ayush714/ML001-Project-Sources-Code-and-Learning-Materials
💻 Code: https://github.com/ayush714/ML001…

How you can stand out from others and pass every time

A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments.

🔗 Course…

Are there any limits to large neural networks?

In this spaCy tutorial, you will learn all about natural language processing and how to apply it to real-world problems using the Python spaCy library.

💻 Course website with code: http://spacy.pythonhumanities.com/

✏️ Course developed by Dr. William Mattingly.…

Raymond Hettinger
Learn to take better advantage of Python's best features and improve existing code through a series of code transformations, "When you see this, do that instead."

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