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Machine Learning Design Patterns - 2021.pdf
15.9 MB
Machine Learning Design Patterns
Valliappa Lakshmanan, 2021
Deep Neural Network Design for Radar Applications.pdf
30.4 MB
Deep Neural Network Design for Radar Applications
Sevgi Zubeyde Gurbuz, 2021
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Modeling and Simulation in Python - 2023.pdf
8.1 MB
Modeling and Simulation in Python
Allen B. Downey, 2023
djangodeployment-readthedocs-io-en-master.pdf
1.9 MB
Deploying Django
Antonis Christofides, 2022
Introduction to Statistical and Machine Learning Methods.pdf
18.6 MB
Introduction to Statistical and Machine Learning Methods for Data Science
Carlos A. Reis Pinheiro, 2021
Data Governance The Definitive Guide People, Processes, an.pdf
20.3 MB
Data Governance: The Definitive Guide
Evren Eryurek, 2021
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ChatGPT for Content Writers - 2023.pdf
1.5 MB
ChatGPT for Content Writers
Hirusha Moragoda, 2023
Advances in Computers (Volume 130).epub
47.3 MB
Advances in Computers 130
Ali Hurson, 2023
solid_simple.pdf
10.6 MB
SOLID Principles
Stefan Djokic, 2023
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Python for Everyone - 2023.pdf
7.4 MB
Python for Everyone
Saurabh Chandrakar, 2023
👍8
Python Tip for the day: When working with lists in Python, consider using list comprehensions instead of for loops to perform operations on the list elements. List comprehensions are more concise, readable, and often faster than using traditional for loops.

For example, instead of using a for loop to create a new list that contains the squared values of the elements in an existing list, you can use a list comprehension like this:

> numbers = 1, 2, 3, 4, 5
> squarednumbers = [num ** 2 for num in numbers]

This will create a new list squared
numbers containing the squared values of the elements in numbers.
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Beginning Python

📓 book
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Data-Driven_SEO___Python.pdf
24 MB
Data-Driven SEO with Python
Andreas Voniatis, 2023
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Python roadmap
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