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Basic Python for Data Management, Finance, and Marketing

industry, from algo trading, reporting and risk management to building valuations models and predictive machine learning programs. Basic Python for;

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Python for Data Science: A Hands-On Introduction

Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you;

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Financial Theory with Python

of Python for computational finance Leverage simple economic models to better understand basic notions of finance and Python programming concepts;

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Python for Data Mining Quick Syntax Reference

Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book;

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Data Science for Marketing Analytics

the Python programming language Key Features Use data analytics and machine learning in a sales and marketing context Gain insights;

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Python for Data Analysis: A Basic Programming Crash Course to Learn Python Data Science Essential Tools, Pandas, and Numpy with Questions and An

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Applied Quantitative Finance

applications in the field of finance concerning Python, a language that is more and more relevant in the financial arena due to big data. This will;

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Applied Univariate, Bivariate, and Multivariate Statistics Using Python - A Beginner's Guide to Advanced Data Analysis

statistical analyses and data management tasks in Python Applied Univariate, Bivariate, and Multivariate Statistics Using Python delivers a;

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Personal Finance with Python

purchase forecaster. Many of the examples use pandas, the main data manipulation tool in Python. Each chapter is hands-on, self-contained, and;

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Basic Python in Finance

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Basic Python in Finance

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Python for Experimental Psychologists

Programming is an important part of experimental psychology and cognitive neuroscience, and Python is an ideal language for novices. It;

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Python for Experimental Psychologists

Programming is an important part of experimental psychology and cognitive neuroscience, and Python is an ideal language for novices. It;

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Practical Data Science with Python

developments. By the end of the book, you should be able to comfortably use Python for basic data science projects and should have the skills to;

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Clean Python

readability, utilizing built-in data structures and Python dictionary for improved maintainability, and working with modules and meta-classes to;

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Python For Data Science For Dummies

scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data;

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Exploratory Data Analysis in Empirical Research

ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining;

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Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to RoboAdvisors Using Python

, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into;

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Data Analysis and Visualization Using Python

Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business;

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Basic Business Statistics

of business-accounting, marketing, management, and economics and finance. This text also emphasizes the proper use of statistics to analyze data and;

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Basic Business Statistics

of business-accounting, marketing, management, and economics and finance. This text also emphasizes the proper use of statistics to analyze data and;

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Basic Business Statistics

of business-accounting, marketing, management, and economics and finance. This text also emphasizes the proper use of statistics to analyze data and;

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Hands-On Application Development with PyCharm

management and data visualization Perform code automation, GUI testing, and version control in PyCharm Integrate interactive Python tools such as;

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Python for Finance 2e Mastering DataDriven Finance

to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with;

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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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Data Science for Marketing Analytics

the help of multiple examples and exercises Book DescriptionData Science for Marketing Analytics covers every stage of data analytics, from;

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