Python Coding challenge - Day 143 | What is the output of the following Python Code?

 This code defines a function named g1 that takes two parameters: x and d with a default value of an empty dictionary {}. The function updates the dictionary d by setting the key x to the value x and then returns the updated dictionary.Here's...

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Machine Learning Engineering with Python - Second Edition: Manage the lifecycle of machine learning models using MLOps with practical examples

 Transform your machine learning projects into successful deployments with this practical guide on how to build and scale solutions that solve real-world problemsIncludes a new chapter on generative AI and large language models (LLMs)...

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Where math doesn’t work in Python

 1. Precision Issues:x = 1.0y = 1e-16result = x + yprint(result)  ​#clcoding.com 1.02. Comparing Floating-Point Numbers:a = 0.1 + 0.2b = 0.3print(a == b)  ​#clcoding.com False3. NaN (Not a Number) and Inf...

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Python Coding challenge - Day 142 | What is the output of the following Python Code?

 In Python, the expressions within curly braces {} are evaluated as set literals. However, the expressions 1 and 2 and 1 or 3 are not directly used to create sets. Instead, these expressions are evaluated as boolean logic expressions and...

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Python & SQL Mastery: 5 Books in 1: Your Comprehensive Guide from Novice to Expert (2024 Edition) (Data Dynamics: Python & SQL Mastery)

 Are you poised to elevate your technical expertise and stay ahead in the rapidly evolving world of data and programming?Look no further!Our 5 Books Series is meticulously crafted to guide you from the basics to the most advanced concepts...

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Finance with Rust: The 2024 Quantitative Finance Guide to - Financial Engineering, Machine Learning, Algorithmic Trading, Data Visualization & More

 Reactive Publishing"Finance with Rust" is a pioneering guide that introduces financial professionals and software developers to the transformative power of Rust in the financial industry. With its emphasis on speed, safety, and concurrency,...

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PYTHON PROGRAMMING FOR BEGINNERS: Mastering Python With No Prior Experience: The Ultimate Guide to Conquer Your Coding Fear From Crash and Land Your First Job in Tech

 Learn Python Programming Fast - A Beginner's Guide to Mastering Python from HomeGrab the Bonus Chapter Inside with 50 Coding JournalPython is the most in-demand programming language in 2024. As a beginner, learning Python can open up...

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Econometric Python: Harnessing Data Science for Economic Analysis: The Science of Pythonomics in 2024

 Reactive PublishingIn the rapidly evolving landscape of economics, "Econometric Python" emerges as a groundbreaking guide, perfectly blending the intricate world of econometrics with the dynamic capabilities of Python. This book is crafted...

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Python Data Science 2024: Explore Data, Build Skills, and Make Data-Driven Decisions in 30 Days (Machine Learning and Data Analysis for Beginners)

 Data Science Crash Course for Beginners with Python...Uncover the energy of records in 30 days with Python Data Science 2024!Are you searching for a hands-on strategy to study Python coding and Python for Data Analysis fast?This beginner-friendly...

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Slicing in Python

 Example 1: Slicing a List# Slicing a listnumbers = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]​# Get elements from index 2 to 5 (exclusive)subset = numbers[2:5]print(subset)  # Output: [2, 3, 4]​#clcoding.com[2, 3, 4]Example 2: Omitting Start...

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Python Coding challenge - Day 141 | What is the output of the following Python Code?

 The above code defines a string variable my_string with the value "hello, world!" and then extracts a substring from index 2 to 6 (7 is exclusive) using slicing. Finally, it prints the extracted substring. Here's the breakdown:my_string...

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Data Analysis with Python

 What you'll learnDevelop Python code for cleaning and preparing data for analysis - including handling missing values, formatting, normalizing, and binning dataPerform exploratory data analysis and apply analytical techniques to real-word...

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Get Started with Python by Google

 What you'll learnExplain how Python is used by data professionals Explore basic Python building blocks, including syntax and semanticsUnderstand loops, control statements, and string manipulationUse data structures to store and organize...

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The zip function in Python

 Example 1: Basic Usage of zip# Basic usage of zipnames = ["Alice", "Bob", "Charlie"]ages = [25, 30, 35]​# Combining lists using zipcombined_data = zip(names, ages)​# Displaying the resultfor name, age in combined_data:    print(f"Name:...

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Python Coding challenge - Day 140 | What is the output of the following Python Code?

 Let's break down the code:x = 5y = 2x *= -yprint(x, y)Here's what happens step by step:x is initially assigned the value 5.y is initially assigned the value 2.x *= -y is equivalent to x = x * -y, which means multiplying the current value...

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Python Coding challenge - Day 139 | What is the output of the following Python Code?

 Let's break down the code step by step:Function Definition:def custom_function(b):This line defines a function named custom_function that takes a parameter b.Conditional Statements:if b < 0:    return 20This block checks...

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Probabilistic Graphical Models 3: Learning

 Build your subject-matter expertiseThis course is part of the Probabilistic Graphical Models SpecializationWhen you enroll in this course, you'll also be enrolled in this Specialization.Learn new concepts from industry expertsGain a foundational...

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Probabilistic Graphical Models 2: Inference

 Build your subject-matter expertiseThis course is part of the Probabilistic Graphical Models SpecializationWhen you enroll in this course, you'll also be enrolled in this Specialization.Learn new concepts from industry expertsGain a foundational...

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Probabilistic Graphical Models 1: Representation

 Build your subject-matter expertiseThis course is part of the Probabilistic Graphical Models SpecializationWhen you enroll in this course, you'll also be enrolled in this Specialization.Learn new concepts from industry expertsGain a foundational...

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Evaluations of AI Applications in Healthcare

 What you'll learnPrinciples and practical considerations for integrating AI into clinical workflowsBest practices of AI applications to promote fair and equitable healthcare solutionsChallenges of regulation of AI applications and which...

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Fundamentals of Machine Learning for Healthcare

 What you'll learnDefine important relationships between the fields of machine learning, biostatistics, and traditional computer programming.Learn about advanced neural network architectures for tasks ranging from text classification to...

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Python Data Science Handbook: Essential Tools for Working with Data

 Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the...

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Foundations of Data Science with Python (Chapman & Hall/CRC The Python Series)

 Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers...

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Python for Data Analysis: From Basics to Advanced Data Science Techniques

 Unlock the power of Python to analyze data, uncover insights, and drive decision-making with "Python for Data Analysis: From Basics to Advanced Data Science Techniques" Whether you're new to data analysis or looking to enhance your skills,...

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Python for Data Science: A Hands-On Introduction

 A hands-on, real-world introduction to data analysis with the Python programming language, loaded with wide-ranging examples.Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for...

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Data Engineering with AWS: Acquire the skills to design and build AWS-based data transformation pipelines like a pro 2nd ed. Edition

 Looking to revolutionize your data transformation game with AWS? Look no further! From strong foundations to hands-on building of data engineering pipelines, our expert-led manual has got you covered.Key FeaturesDelve into robust AWS...

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Python Coding challenge - Day 138 | What is the output of the following Python Code?

 The above code deletes elements from index 2 to index 3 (not including index 4) in the list num and then prints the updated list. Let's break it down:num = [10, 20, 30, 40, 50]This line initializes a list named num with the elements 10,...

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IBM Data Analytics with Excel and R Professional Certificate

 What you'll learnMaster the most up-to-date practical skills and knowledge data analysts use in their daily rolesLearn how to perform data analysis, including data preparation, statistical analysis, and predictive modeling using R, R...

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Predict Sales Revenue with scikit-learn

 What you'll learnBuild simple linear regression models in PythonApply scikit-learn and statsmodels to regression problemsEmploy explorartory data analysis (EDA) with seaborn and pandasExplain linear regression to both technical and non-technical...

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Generative AI: Enhance your Data Analytics Career

 What you'll learnDescribe how you can use Generative AI tools and techniques in the context of data analytics across industriesImplement various data analytic processes such as data preparation, analysis, visualization and storytelling...

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Data Analyst Career Guide and Interview Preparation

 What you'll learnDescribe the role of a data analyst and some career path options as well as the prospective opportunities in the field.Explain how to build a foundation for a job search, including researching job listings, writing a...

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Machine Learning With Big Data

 Build your subject-matter expertiseThis course is part of the Big Data SpecializationWhen you enroll in this course, you'll also be enrolled in this Specialization.Learn new concepts from industry expertsGain a foundational understanding...

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Python Coding challenge - Day 137 | What is the output of the following Python Code?

 a = [1, 2, 3, 4]b = [1, 2, 5]print(a < b)Two lists, a and b, are defined.a is [1, 2, 3, 4]b is [1, 2, 5]The code uses the less-than (<) operator to compare the two lists a and b. This comparison is performed element-wise.The first...

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3D contour plot using Python

 import numpy as npimport matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3D# Create a meshgrid of x and y valuesx = np.linspace(-5, 5, 100)y = np.linspace(-5, 5, 100)X, Y = np.meshgrid(x, y) # Define a function to calculate...

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