Lambda Functions in Python

 Example 1: Basic Syntax# Regular functiondef add(x, y):    return x + y​# Equivalent lambda functionlambda_add = lambda x, y: x + y​# Using both functionsresult_regular = add(3, 5)result_lambda = lambda_add(3, 5)​print("Result...

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Python Coding challenge - Day 144 | What is the output of the following Python Code?

 The code print(()*3) in Python will print an empty tuple three times.Let's break down the code:print(): This is a built-in function in Python used to output messages to the console.(): This represents an empty tuple. A tuple is an ordered...

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Fractal Data Science Professional Certificate

 What you'll learn Apply structured problem-solving techniques to dissect and address complex data-related challenges encountered in real-world scenarios.   Utilize SQL proficiency to retrieve, manipulate data and employ...

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CertNexus Certified Data Science Practitioner Professional Certificate

 Advance your career with in-demand skillsReceive professional-level training from CertNexusDemonstrate your technical proficiencyEarn an employer-recognized certificate from CertNexusPrepare for an industry certification examJoin Free: CertNexus...

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IBM Data Engineering Professional Certificate

 What you'll learnMaster the most up-to-date practical skills and knowledge data engineers use in their daily rolesLearn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs...

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Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

 What you'll learnIdentify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.Employ BigQuery to carry out interactive data analysis.Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive...

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Tableau Business Intelligence Analyst Professional Certificate

 What you'll learnGain the essential skills necessary to excel in an entry-level Business Intelligence Analytics role.Learn to use Tableau Public to manipulate and prepare data for analysis.Craft and dissect data visualizations that reveal...

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Interpretable Machine Learning with Python - Second Edition: Build explainable, fair, and robust high-performance models with hands-on, real-world examples

 A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature importance, and causal inference, to build fairer, safer, and more reliable models.Purchase of...

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Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT and other LLMs

 Get to grips with the LangChain framework from theory to deployment and develop production-ready applications.Code examples regularly updated on GitHub to keep you abreast of the latest LangChain developments.Purchase of the print or...

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Developing Kaggle Notebooks: Pave your way to becoming a Kaggle Notebooks Grandmaster

 Printed in ColorDevelop an array of effective strategies and blueprints to approach any new data analysis on the Kaggle platform and create Notebooks with substance, style and impactLeverage the power of Generative AI with Kaggle ModelsPurchase...

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Data Analysis and Visualization Foundations Specialization

 What you'll learnDescribe the data ecosystem, tasks a Data Analyst performs, as well as skills and tools required for successful data analysisExplain basic functionality of spreadsheets and utilize Excel to perform a variety of data analysis...

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IBM AI Foundations for Business Specialization

 Advance your subject-matter expertiseLearn in-demand skills from university and industry expertsMaster a subject or tool with hands-on projectsDevelop a deep understanding of key conceptsEarn a career certificate from IBMJoin Free: IBM...

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IBM & Darden Digital Strategy Specialization

 What you'll learnUnderstand the value of data and how the rapid growth of technologies such as artificial intelligence and cloud computing are transforming business. Join Free: IBM & Darden Digital Strategy SpecializationSpecialization...

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Data Science Fundamentals with Python and SQL Specialization

 What you'll learnWorking knowledge of Data Science Tools such as Jupyter Notebooks, R Studio, GitHub, Watson StudioPython programming basics including data structures, logic, working with files, invoking APIs, and libraries such as Pandas...

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Introduction to Data Science Specialization

 What you'll learnDescribe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists  Gain hands-on familiarity with common data science tools including...

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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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