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Total Size:
75.1 MB
Info Hash:
8FA2C80BF3453F518B6D9E2D6CDCB875C6B9C8BA
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Added:
May 20, 2025, 8:11 a.m.
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(Last updated: May 20, 2025, 8:13 a.m.)
| File | Size |
|---|---|
| Yildiz M. Mastering Pandas.A Comprehensive Guide to Data Analysis in Python 2024.pdf | 29.4 MB |
| Yildiz M. Mastering Python for Artificial Intelligence. The Trilogy Part I. 2024.pdf | 45.7 MB |
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75.1 MB
[67
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18]
2025-05-20
| Uploaded by andryold1 | Size 75.1 MB | Health [ 67 /18 ] | Added 2025-05-20 |
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166.2 MB
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1]
2023-11-27
| Uploaded by FreeCourseWeb | Size 166.2 MB | Health [ 0 /1 ] | Added 2023-11-27 |
NOTE
SOURCE: Yildiz M. Mastering Pandas.A Comprehensive Guide to Data Analysis in Python 2024
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COVER
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MEDIAINFO
Textbook in PDF format Welcome to Mastering Pandas: A Comprehensive Guide to Data Analysis in Python, a journey into the heart of modern data science. This book is not just a guide; it’s your gateway to the world of data exploration, where powerful insights lie hidden within raw numbers and text. Here, Pandas transforms data analysis from a challenging task into an enlightening experience, empowering you to harness the power of data like never before. In an era where data drives everything from business decisions to scientific breakthroughs, Pandas emerges as the tool that makes sense of complexity. Imagine being able to swiftly shape vast datasets, uncover meaningful patterns, and generate insights with the ease and precision that Pandas provides. Whether you’re preparing data, conducting advanced analyses, or exploring time-based trends, Pandas becomes your trusted partner in transforming data into knowledge. What sets Mastering Pandas apart is its approach—a blend of practical guidance and modern enhancements powered by AI. This isn’t just a book; it’s a thoughtfully designed learning experience. Through hands-on examples and AI-enhanced visuals, complex concepts become clear and actionable, bridging the gap between theory and real-world application. Each chapter guides you deeper into Pandas’ potential, equipping you with tools to approach data challenges with confidence. As you explore the pages of this book, it’s important to recognize that Pandas is more than just a data analysis tool; it’s a powerful gateway to the realm of artificial intelligence, machine learning, and deep learning. In the journey toward building intelligent systems, the role of clean, well-structured, and insightful data is paramount. Pandas serves as the essential foundation, enabling you to prepare, manipulate, and explore datasets effectively—laying the groundwork for advanced AI applications. With Pandas, you’re not merely working with data; you’re setting the stage for innovations in machine learning models and deep neural networks, making it an indispensable asset in the pursuit of modern AI solutions. So, as you turn the pages, prepare to engage with data in new and exciting ways. By the end of this journey, Pandas will be more than a library in Python; it will be an essential part of your toolkit for understanding and unlocking the value of data. PREFACE INTRODUCTION INTRODUCTION TO PANDAS WHY USE PANDAS? IMPORTANCE IN DATA ANALYSIS INSTALLING AND SETTING UP PANDAS DATA STRUCTURES IN PANDAS: SERIES AND DATAFRAMES INDEXING AND SELECTION TECHNIQUES PANDAS DATA TYPES AND CONVERSIONS HANDLING MISSING DATA IN PANDAS WORKING WITH TEXT DATA PANDAS DATE AND TIME HANDLING MASTERING DATA IMPORT AND EXPORT IN PANDAS FOR AI ESSENTIAL DATA EXPLORATION TECHNIQUES IN PANDAS DATA CLEANING AND PREPROCESSING PANDAS AGGREGATION AND GROUPBY OPERATIONS RESHAPING AND PIVOTING DATA MERGING, JOINING, AND CONCATENATION IN PANDAS FILTERING AND CONDITIONALLY SELECTING DATA SORTING AND ORDERING IN PANDAS VECTORIZED OPERATIONS AND BROADCASTING WORKING WITH CATEGORICAL DATA ADVANCED PANDAS TECHNIQUES CONCLUSION
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