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Python for Data Analysis 31 October 2012 Python for Data AnalysisO’Re-ly Media (October 2012) | ISBN: 1449319793 | PDF + EPUB | 470 pages | 19.6 MB Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language. Python for Data Analysis (TRUE PDF) 31 January 2013 Python for Data Analysis (TRUE PDF)2012 | ISBN-10: 1449319793 | TRUE PDF + EPUB | 470 pages | 10 MB Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language. Python for Data Analysis (TRUE PDF) 22 February 2013 Python for Data Analysis (TRUE PDF)2012 | ISBN-10: 1449319793 | TRUE PDF + EPUB | 470 pages | 10 MB Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language. Python for Data Analysis (TRUE PDF) 1 February 2013 Python for Data Analysis (TRUE PDF)2012 | ISBN-10: 1449319793 | TRUE PDF + EPUB | 470 pages | 10 MB Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language. Data Structures and Algorithms in Python 20 July 2013 Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser, "Data Structures and Algorithms in Python"English | ISBN: 1118290275 | 2013 | PDF | 748 pages | 6 MB This all-new Data Structures and Algorithms in Python is designed to provide an introduction to data structures and algorithms, including their design, analysis, and implementation. The authors take advantage of the beauty and simplicity of Python to present executable source code that is clear and concise. Furthermore, a consistent object-oriented viewpoint is retained throughout the book, including the use of inheritance, both to maximize code reuse and to draw attention to the clear similarities and differences of various abstract data types and algorithmic approaches. Python for Finance: Analyze Big Financial Data 17 December 2014 Python for Finance: Analyze Big Financial Data by English | December 10, 2014 | ISBN: 1491945281 | ASIN: B00QUBHNBW | 596 Pages | EPUB/MOBI/AZW3/PDF (Converted) | 35 MB The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Fundamentals of Python: From First Programs through Data Structures 13 August 2011 Fundamentals of Python: From First Programs through Data Structures by Kenneth A. LambertC..se T.chnology | 2009 | ISBN: 1423902181 | 944 pages | PDF | 11 MB In FUNDAMENTALS OF PYTHON: FROM FIRST PROGRAMS THROUGH DATA STRUCTURES, Washington and Lee University professor Kenneth A. Lambert presents all of the important topics in CS1 and CS2 in one volume. This economical format provides instructors with a consistent approach to teaching introductory programming and data structures over a standard two-term course sequence. The book uses the Python programming language, which is both easy to learn for beginners and scales well to advanced applications. Pluralsight - Python Beyond The Basics - 2014 28 July 2014 Pluralsight - Python Beyond The Basics - 2014 | 1.37 GBPython - Beyond the Basics builds directly on the foundations laid in our introductory Python course, Python Fundamentals. Python is a great dynamic language for web development, big data, science, and scripting. In this course we add breadth and depth to your Python skills, exploring the topics you'll need to create robust and readable applications of any size. On completing this course, you'll be familiar with the majority of Python techniques and constructs used in Python programs. Crucially, we'll also advise you on when - and when not - to use the different tools available in Python to best effect, to maximize the quality of your code, your productivity, and the joy inherent in coding in Python. Python Algorithms: Mastering Basic Algorithms in the Python Language 2 December 2010 Python Algorithms: Mastering Basic Algorithms in the Python Language 2010 | 336 | ISBN: 1430232374 | PDF | 3 Mb Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. ... Pluralsight - Python - Beyond the Basics 25 July 2014 Pluralsight - Python - Beyond the BasicsEnglish | Size: 1.37 GB Category: CBTPython - Beyond the Basics builds directly on the foundations laid in our introductory Python course, Python Fundamentals. Python is a great dynamic language for web development, big data, science, and scripting. In this course we add breadth and depth to your Python skills, exploring the topics you'll need to create robust and readable applications of any size. On completing this course, you'll be familiar with the majority of Python techniques and constructs used in Python programs. Crucially, we'll also advise you on when - and when not - to use the different tools available in Python to best effect, to maximize the quality of your code, your productivity, and the joy inherent in coding in Python. |