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A deep dive into Python's memory management and optimizations; In-depth understanding and advanced usage of Python's numerical data types (Booleans, Integers, Floats, Decimals, Fractions, Complex Numbers) Advanced Boolean expressions and operators; Advanced usage of callables including functions, lambdas and closures

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Python Deep Dive \n. Various Jupyter notebooks and Python sources associated with my Udemy Python 3 Deep Dive course series: \n \n; Part 1: Mainly functional programming \n; Part 2: Mainly iterables, iterators and generators \n; Part 3: Mainly hash maps \n; Part 4: OOP \n \n. Many of these require Python 3.6 or above.

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Deep Dive Into Classes in Python Understand the hidden and often mysterious workings of classes in Python Juan Nathaniel · Follow Published in Geek Culture · 4 min read · Aug 22, 2021 1 If.

Python Tutorial Lists Deep Dive Part13 [2020] YouTube

You are here: • Dive Into Python 3 Dive Into Python 3 covers Python 3 and its differences from Python 2. Compared to Dive Into Python, it's about 20% revised and 80% new material. The book is now complete, but feedback is always welcome. Table of Contents ( expand) Also available on dead trees! What's New in "Dive Into Python 3" Installing Python

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This Python3: Deep Dive Part 4 course takes a closer look at object oriented programming (OOP) in Python. MAIN COURSE TOPICS what are classes and instances class data and function attributes properties instance, class and static methods polymorphism and the role special functions play in this single inheritance slots

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In this chapter, we'll take some deep dives into specific Python language subjects. These subjects may have been touched already. For example, we covered functions in our introduction to Python functions. But the advanced Python function concepts that you'll learn from this chapter expand on that knowledge. Other topics that are covered here:

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Python Deep Dive Various Jupyter notebooks and Python sources associated with my Udemy Python 3 Deep Dive course series:

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arguments but 2 were given. >>> f(a=1, b=2) 1 2. >>>. This advanced function trick could come in handy when you're developing some kind of library. Perhaps you don't want to commit to a certain order of arguments (yet). In such cases, this is the way to force users of your library to use named arguments, making the order irrelevant.

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A deep dive into Python's memory management and optimizations In-depth understanding and advanced usage of Python's numerical data types (Booleans, Integers, Floats, Decimals, Fractions, Complex Numbers) Advanced Boolean expressions and operators Advanced usage of callables including functions, lambdas and closures

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Description Part 2 of this Python 3: Deep Dive series is an in-depth look at: sequences iterables iterators generators comprehensions context managers I will show you exactly how iteration works in Python - from the sequence protocol, to the iterable and iterator protocols, and how we can write our own sequence and iterable data types.

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Create Deep Learning Algorithms in Python with Machine Learning & Data Science experts! Join millions of learners from around the world already learning on Udemy.

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Deep dive: Create and publish your first Python library A complete guide for the creation of a Python library, from zero to CI/CD pipeline and automatic documentation generation. Joffrey Bienvenu · Follow Published in Towards Data Science · 19 min read · Dec 17, 2020 7

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Hello and welcome to Python Deep Dive! Today, we'll embark on a fascinating journey into the world of Python - one of the most widely used programming languages. We'll explore why Python is so popular and versatile, and how its power has revolutionized various fields like web development, data science, artificial intelligence, and more.

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Python Deep Dive. Various Jupyter notebooks and Python sources associated with the Udemy Python 3 Deep Dive course series: Part 1: Mainly functional programming. Part 2: Mainly iterables, iterators and generators. Part 3: Mainly hash maps. Part 4: OOP.