Programming for python language..
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Examen
Programming Big Data Applications.pdf
Master the development of scalable big data applications with this comprehensive guide. Learn essential tools, frameworks, and best practices to process, analyze, and manage massive datasets effectively—ideal for students and aspiring data engineers.
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Programming Algorithms.pdf
Learn to design and write efficient algorithms with this comprehensive guide featuring practical examples in Lisp. Perfect for students seeking to strengthen problem-solving skills and master core programming concepts for academic and professional growth.
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Pro Data Mashup for Power BI.pdf
Master Power BI data preparation with this advanced guide. Learn to harness Power Query and the M language to find, load, and transform complex datasets into actionable insights, perfect for students and professionals seeking to level up their data analytics skills.
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Practical Guide to Python: From Basics to Advanced Programming.pdf
Learn Python from the ground up with this comprehensive practical guide. Covering everything from core fundamentals to advanced techniques, this book helps students and developers build real-world Python applications and strengthen coding skills for data science, web development, and automation.
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C++20: Get the Details.pdf
Master the latest C++20 features with this comprehensive guide. Learn about concepts, coroutines, modules, ranges, and other modern programming tools to elevate your C++ skills and stay current with cutting-edge development standards. Ideal for students and developers aiming to upgrade their C++ knowledge.
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C# and Algorithmic Thinking for the Complete Beginner.pdf
Learn to think like a programmer and master the basics of C# with this beginner-friendly guide. Perfect for students, it introduces algorithmic thinking, problem-solving strategies, and core programming concepts for both Windows and Linux users.
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C# 12 for Cloud, Web, and Desktop Applications.Pdf
Master modern software development with C# 12. This guide covers up-to-date concepts and techniques for building scalable cloud solutions, dynamic web apps, and robust desktop applications, making it ideal for students and developers eager to harness the latest .NET features.
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Building Data Science Applications with FastAPI (2nd Edition) -PDF
Learn how to develop, manage, and deploy efficient machine learning and data science applications using FastAPI and Python. This practical guide helps students and developers streamline API development, integrate machine learning models, and build high-performance web services for real-world projects.
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Bio-Inspired Algorithms in Machine Learning and Deep Learning for Disease Detection -PDF
Explore cutting-edge techniques that combine biology-inspired algorithms with machine learning and deep learning to improve disease detection. This book provides students and researchers with practical methods, real-world applications, and innovative approaches for healthcare analytics and medical AI solutions.
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Beginning Spring AI: A Quick Guide to AI Engineering in Spring -PDF
Master the essentials of building AI-powered applications using the Spring framework. This beginner-friendly guide walks students through integrating artificial intelligence into Java-based projects, covering setup, development, and deployment for modern AI engineering.
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Beginning ChatGPT for Python: Build Intelligent Applications with Open AI API -PDF
Learn how to integrate ChatGPT into Python projects and create intelligent applications using the OpenAI API. Perfect for students and beginners, this guide covers everything from setup to advanced features, helping you build chatbots, automation tools, and AI-powered apps with ease.
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Begin to Code: Building Apps and Games in the Cloud -PDF
Start your coding journey by creating cloud-based apps and games. This beginner-friendly guide introduces programming fundamentals and cloud development concepts—perfect for students eager to build modern, connected applications from scratch.
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Basic Python for Data Science: Beginner-Friendly Guide to Data Analysis & Visualization -PDF
Learn Python fundamentals tailored for data science. This beginner-friendly guide helps students explore data analysis, visualization, and essential libraries like pandas and matplotlib—perfect for starting a data science journey with Python.
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Artificial Intelligence All-in-One 2025 | 7 Books in 1 | Machine Learning, Neural Networks & AI Tools Made Easy
Unlock the world of Artificial Intelligence (AI) with this 7-in-1 complete learning guide designed for students, professionals, and tech enthusiasts. The Artificial Intelligence All-in-One 2025 Edition by Academic Hub brings together core AI concepts, practical projects, and future-ready tools in one accessible volume. What You’ll Learn: Fundamentals of AI – Core principles, history, and applications of artificial intelligence.
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Python All-in-One 2024/2025 | 7 Books in 1 | Beginner to Advanced Programming Made Easy
Master Python programming with this 7-in-1 complete guide designed for beginners, students, and professionals. The Python All-in-One 2024/2025 Edition by Academic Hub brings together step-by-step tutorials, real-world coding projects, and advanced concepts into one powerful resource. What’s Inside: 7 Complete Books in 1 – Covers Python basics, data structures, OOP, web development, data analysis, machine learning, and automation. Beginner-Friendly Explanations – Learn coding ev...
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Python Essentials Part 1 Module 1 Quiz / PE1 Exam Prep / 2025 Update / Score 100%
Ace your Python Essentials Part 1 Module 1 Quiz with our 2025 updated test bank. This essential resource covers foundational Python concepts including syntax, variables, data types, basic I/O operations, and simple operators. Prepare with hands-on coding exercises, debugging practice, and conceptual questions that mirror the official Python Institute PE1 exam format. Master the basics of Python programming, build a solid coding foundation, and achieve a 100% score on your Module 1 assessment.
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WGU D522 – Exam Questions with Correct Verified Solutions (Latest Update)
WGU D522 EXAM QUESTIONS WITH CORRECT VERIFIED SOLUTIONS 100% GUARANTEED PASS (LATEST UPDATE) Purpose of code editor in python IDE - ANS provide a text editor offering syntax highlighting, code completion, and indentation. Python variables - ANS serving as placeholders to store and manage data. In Python, you don't need to explicitly declare a variable's data type; it dynamically infers it based on the assigned value. Symbolic Names - ANS refer to names or identifiers that ...
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Data Science Bundle Must Have
Python and Data Concepts--> Must haves and a huge time saving
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Codes for Data Analysts--Time Saving
1. Pandas – Data Structures & Manipulation Series: 1D labeled array (like a column). DataFrame: 2D labeled data (like a spreadsheet/SQL table). Handling Missing Data: dropna(), fillna(). Selection/Filtering: By column, row index, boolean conditions. Sorting: sort_values(), sort_index(). Merging/Joining: concat(), merge(). Transformation: apply(), replace(). Loading Data: From CSV, JSON, Excel, HTML, etc. Cleaning: Handle duplicates, missing values, outliers. 2. Pa...
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Cheat Sheet for Python
It is time saving sheet.
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