50 Python Exercises NumPy & Pandas: A Practical Guide - Mastering DataFrames, Data Manipulation and Creating Graphs | Christofis, Daniel |

NumPy and Pandas emerge as the Python data environment's champions in the vast field of data research. These libraries enable not only professionals to effortlessly manage and modify data, but also novices to delve deeply into the field of data analysis with ease and intuitiveness. "50 Python Exercises: NumPy and Pandas" has been meticulously created to provide you with a taste of real-world situations, allowing you to stretch your problem-solving muscles and develop your coding skills.

This book has a variety of activities divided into eight projects. Each project focuses on a different topic, taking you from the basics of data manipulation to the intricacies of feature engineering.
7 + 1 Projects
7 Exercises per Project
Solutions Included

Project 1: Introduction to Pandas and NumPy Basics
Project 2: Data Filtering & Sorting
Project 3: Data Grouping & Aggregation
Project 4: Data Cleaning & Exploration
Project 5: Merging, Joining & Concatenation
Project 6: Visualization & Descriptive Statistics
Project 7: Advanced Pandas Functions & Techniques
Project 8: Feature Engineering & Selection
Solutions

✅ Contents of download скачать:
⭐️ 50 Python Exercises NumPy & Pandas A Practical Guide - Mastering DataFrames, Data Manipulation and Creating Graphs.epub (2.54 MB)

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✅ 50 Python Exercises NumPy & Pandas A Practical Guide - Mastering DataFrames, Data Manipulation and Creating Graphs (2.54 MB)

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