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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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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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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 Various Jupyter notebooks and Python sources associated with my Udemy Python 3 Deep Dive course series:
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In this comprehensive guide, we embarked on a deep dive into Python's diverse data structures, specifically focusing on arrays and dictionaries. Our exploration led us through the world of Python's list, tuple, string, byte, bytearray, and array.array, each showcasing their unique strengths and use cases. On the dictionary side, we navigated.
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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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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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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 3: Deep Dive (Part 2 - Iteration, Generators) Sets and Dictionaries - Python. Python Dictionaries and Sets for Beginners | Python tutorial. Dive Deep into Python. Related articles. 250 Top FREE Udemy Courses of All Time; 250 Top Udemy Courses of All Time Reviews. 4.9 rating at Udemy based on 1520 ratings
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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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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: Mastering Advanced Techniques Unleashing the Power of Python with Advanced Techniques and Practices New 1.0 (1 rating) 834 students 1hr 27min of on-demand video Created by Ingenium Academy English English [Auto] What you'll learn Course content Reviews Instructors
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Fred Baptiste. Dive deep into Python 3's Object Oriented Programming with this 37-hour course. Learn about classes, methods, inheritance, exceptions, metaprogramming, and more. Prior Python experience required.