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Scientific Python Specialist — Core Path

Scientific Python Specialist — Core Path

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Ultimate Pandas for Data Manipulation and Visualization (Quantity)

TABLE OF CONTENTS

Hands-on NumPy for Numerical Analysis: 
Ultimate Pandas for Data Manipulation and Visualization

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Description

BUNDLE OBJECTIVE
This bundle is ideal for Data Analysts, Data Scientists, Business Intelligence Specialists, Machine Learning Engineers, and Python Developers looking to advance their Python skills. Through hands-on projects with NumPy and Pandas, learners will master scientific computing, data manipulation, and visualization techniques. By the end, you’ll be able to efficiently handle and analyze complex datasets—building a solid foundation for careers in data science, machine learning, and analytics.

KEY FEATURES
Hands-on learning with NumPy for high-performance computation
Master Pandas for data manipulation, cleaning, and visualization
Real-world datasets and practical examples for immediate application
Build workflows for scientific and business data analysis
Transition confidently from intermediate to expert Python user

DESCRIPTION
The Scientific Python Specialist — Core Path bundle is a 2-book collection tailored for intermediate professionals aiming to become expert Python users for scientific computing and data analysis.

This bundle includes:
Hands-on NumPy for Numerical Analysis — Hands-on NumPy for Numerical Analysis is a comprehensive guide that takes you from the fundamentals of NumPy to its advanced applications. Through hands-on examples and real-world scenarios, this book equips data scientists, analysts, and machine learning engineers with the practical skills needed to manipulate large datasets and optimize performance. Key topics include array operations, linear algebra, signal processing, and machine learning implementations, all covered with detailed explanations and step-by-step guidance.

Ultimate Pandas for Data Manipulation and Visualization — Unlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures.

Together, these titles provide a practical, hands-on approach to scientific Python, enabling learners to handle real-world data problems, optimize workflows, and make data-driven decisions with confidence.

WHAT WILL YOU LEARN
Perform high-speed numerical computations using NumPy
Manipulate, clean, and transform data with Pandas efficiently
Build robust data pipelines and workflows for analysis
Visualize datasets with Pandas and Matplotlib integration
Apply Python for scientific research, business analytics, and data-driven decision-making

WHO THIS BUNDLE IS FOR
This bundle is for data scientists, analysts, engineers, and Python developers aiming to strengthen their skills in scientific computing and data manipulation. A basic understanding of Python programming is recommended before beginning this learning path.

Table of Contents

TABLE OF CONTENTS
Hands-on NumPy for Numerical Analysis
Introduction to NumPy and Array Concepts
Advanced Indexing, Slicing, and Broadcasting
Mathematical Functions and Statistical Computations
Linear Algebra with NumPy
Optimizing Computation and Performance
Real-World Use Cases and Projects

Ultimate Pandas for Data Manipulation and Visualization
Introduction to Pandas Data Structures
Data Cleaning, Merging, and Transformation
Aggregation, Grouping, and Pivot Tables
Time Series and Categorical Data Analysis
Data Visualization with Pandas and Matplotlib
Advanced Workflows and Real-World Applications

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