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Data Structure and Algorithmic Thinking with Python

same problem. "Data Structure and Algorithmic Thinking with Python" is designed to give a jump-start to programmers, job hunters and those who;

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Python for Algorithmic Trading From Idea to Cloud Deployment

ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading;

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Hands-On Financial Trading with Python

quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources. Using Zipline;

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Applied Computational Thinking with Python

skills required to assess algorithmic solutions Use computational thinking with Python for statistical analysis Understand the input and output;

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Python Projects for Beginners

Immerse yourself in learning Python and introductory data analytics with this book's project-based approach. Through the structure of a ten;

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Advanced Data Analytics Using Python

, regularization techniques, and algorithmic design patterns in data analytics with reinforcement learning. Finally, the recommender system in PySpark;

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Advanced Data Analytics Using Python

, regularization techniques, and algorithmic design patterns in data analytics with reinforcement learning. Finally, the recommender system in PySpark;

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Mastering Python for Data Science

Science with Python - data mining, data analysis, data visualization, and machine learning Who This Book Is For If you are a Python;

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Construction of Fundamental Data Structures for Strings

common prefix (LCP) array, the document array and the Lyndon array. These data structures are the cornerstone of many algorithmic solutions;

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A Python Data Analyst s Toolkit

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write;

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Computational Thinking: First Algorithms, Then Code

students with an interest in STEM subjects, and professionals who want an insight into algorithmic solutions and the related mindset. While the;

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Data Structures and Algorithms in Python

analysis and design of fundamental data structures. * Includes many helpful Python code examples, with source code provided on the website. * Uses;

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A Python Data Analyst's Toolkit

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write;

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Python Programming for Data Analysis

, especially for data analysis applications. Certain low-level language features are discussed in detail, especially Python memory management and data;

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Python Programming for Data Analysis

, especially for data analysis applications. Certain low-level language features are discussed in detail, especially Python memory management and data;

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Mastering Python Data Analysis

, and explore data using graphical and numerical summaries * Leverage the IPython environment to efficiently analyze data with Python * Packed;

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Learn Algorithmic Trading

, financial traders, data analysts, and entrepreneurs. Anyone who wants to get started with algorithmic trading and understand how it works; and learn;

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Data Structures using Python

Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful;

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Getting Started with Python Data Analysis

Who This Book Is For If you are a Python developer who wants to get started with data analysis and you need a quick introductory guide to;

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Competitive Programming in Python

Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and;

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Python and HDF5

interoperable files Express relationships among data with references, named types, and dimension scales Discover how Python mechanisms for writing;

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Machine Learning Refined

tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and;

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Data Analysis and Visualization Using Python

decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with;

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Geospatial Development By Example with Python

the full geo-processing workflow using Python with open source packages * Create press-quality styled maps and data visualization with high;

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Data Science Projects with Python

Gain hands-on experience of Python programming with industry-standard machine learning techniques using pandas, scikit-learn, and XGBoost;

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Practice Of Computing Using Python Gl Ed

-majors taking CS1 courses to computational thinking using Python, with a strong emphasis on problem solving through computer science. The authors;

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Become a Python Data Analyst

operation and manipulation of Python for data analysis Implement real-world datasets to perform predictive analytics with Python Access modern data;

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