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Hands-on data science with Anaconda : utilize right mix of tools to create high performance data science applications / / Yuxing Yan, James Yan
| Hands-on data science with Anaconda : utilize right mix of tools to create high performance data science applications / / Yuxing Yan, James Yan |
| Autore | Yan Yuxing |
| Pubbl/distr/stampa | Birmingham ; ; Mumbai : , : Packt, , 2018 |
| Descrizione fisica | 1 online resource (356 pages) |
| Disciplina | 005.133 |
| Soggetto topico | Python (Computer program language) |
| ISBN | 1-78883-473-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910796829203321 |
Yan Yuxing
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| Birmingham ; ; Mumbai : , : Packt, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hands-on data science with Anaconda : utilize right mix of tools to create high performance data science applications / / Yuxing Yan, James Yan
| Hands-on data science with Anaconda : utilize right mix of tools to create high performance data science applications / / Yuxing Yan, James Yan |
| Autore | Yan Yuxing |
| Pubbl/distr/stampa | Birmingham ; ; Mumbai : , : Packt, , 2018 |
| Descrizione fisica | 1 online resource (356 pages) |
| Disciplina | 005.133 |
| Soggetto topico | Python (Computer program language) |
| ISBN | 1-78883-473-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910817758603321 |
|
Yan Yuxing
|
||
| Birmingham ; ; Mumbai : , : Packt, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hands-on data science with Anaconda : utilize the right mix of tools to create high-performance data science applications
| Hands-on data science with Anaconda : utilize the right mix of tools to create high-performance data science applications |
| Autore | Yan Yuxing |
| Pubbl/distr/stampa | Packt Publishing |
| Altri autori (Persone) | YanJames |
| ISBN | 1-78883-473-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910466654803321 |
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Yan Yuxing
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| Packt Publishing | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Python for finance : build real-life Python applications for quantitative finance and financial engineering / / Yuxing Yan ; cover image by Aniket Sawant
| Python for finance : build real-life Python applications for quantitative finance and financial engineering / / Yuxing Yan ; cover image by Aniket Sawant |
| Autore | Yan Yuxing |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2014 |
| Descrizione fisica | 1 online resource (408 p.) |
| Disciplina | 005.133 |
| Collana | Community Experience Distilled |
| Soggetto topico |
Python (Computer program language)
Finance - Mathematical models - Computer programs |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-78328-438-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction and Installation of Python; Introduction to Python; Installing Python; Different versions of Python; Ways to launch Python; Launching Python with GUI; Launching Python from the Python command line; Launching Python from our own DOS window; Quitting Python; Error messages; Python language is case sensitive; Initializing the variable; Finding the help window; Finding manuals and tutorials; Finding the version of Python; Summary; Exercises
Chapter 2: Using Python as an Ordinary Calculator Assigning values to variables; Displaying the value of a variable; Error messages; Can't call a variable without assignment; Choosing meaningful names; Using dir() to find variables and functions; Deleting or unsigning a variable; Basic math operations - addition, subtraction, multiplication, and division; The power function, floor, and remainder; A true power function; Choosing appropriate precision; Finding out more information about a specific built-in function; Listing all built-in functions; Importing the math module The pi, e, log, and exponential functions""import math"" versus ""from math import *""; A few frequently used functions; The print() function; The type() function; Last expression _ (underscore); Combining two strings; The upper() function; The tuple data type; Summary; Exercises; Chapter 3: Using Python as a Financial Calculator; Writing a Python function without saving it; Default input values for a function; Indentation is critical in Python; Checking the existence of our functions; Defining functions from our Python editor; Activating our function using the import function Debugging a program from a Python editor Two ways to call our pv_f() function; Generating our own module; Types of comments; The first type of comment; The second type of comment; Finding information about our pv_f() function; The if() function; Annuity estimation; Converting the interest rates; Continuously compounded interest rate; A data type - list; Net present value and the NPV rule; Defining the payback period and the payback period rule; Defining IRR and the IRR rule; Showing certain files in a specific subdirectory; Using Python as a financial calculator Adding our project directory to the pathSummary; Exercises; Chapter 4: 13 Lines of Python to Price a Call Option; Writing a program - the empty shell method; Writing a program - the comment-all-out method; Using and debugging other programs; Summary; Exercises; Chapter 5: Introduction to Modules; What is a module?; Importing a module; Adopting a short name for an imported module; Showing all functions in an imported module; Comparing ""import math"" and ""from math import *""; Deleting an imported module; Importing only a few needed functions; Finding out all built-in modules Finding out all the available modules |
| Record Nr. | UNINA-9910458019703321 |
|
Yan Yuxing
|
||
| Birmingham, England : , : Packt Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Python for finance : build real-life Python applications for quantitative finance and financial engineering / / Yuxing Yan ; cover image by Aniket Sawant
| Python for finance : build real-life Python applications for quantitative finance and financial engineering / / Yuxing Yan ; cover image by Aniket Sawant |
| Autore | Yan Yuxing |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2014 |
| Descrizione fisica | 1 online resource (408 p.) |
| Disciplina | 005.133 |
| Collana | Community Experience Distilled |
| Soggetto topico |
Python (Computer program language)
Finance - Mathematical models - Computer programs |
| ISBN | 1-78328-438-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction and Installation of Python; Introduction to Python; Installing Python; Different versions of Python; Ways to launch Python; Launching Python with GUI; Launching Python from the Python command line; Launching Python from our own DOS window; Quitting Python; Error messages; Python language is case sensitive; Initializing the variable; Finding the help window; Finding manuals and tutorials; Finding the version of Python; Summary; Exercises
Chapter 2: Using Python as an Ordinary Calculator Assigning values to variables; Displaying the value of a variable; Error messages; Can't call a variable without assignment; Choosing meaningful names; Using dir() to find variables and functions; Deleting or unsigning a variable; Basic math operations - addition, subtraction, multiplication, and division; The power function, floor, and remainder; A true power function; Choosing appropriate precision; Finding out more information about a specific built-in function; Listing all built-in functions; Importing the math module The pi, e, log, and exponential functions""import math"" versus ""from math import *""; A few frequently used functions; The print() function; The type() function; Last expression _ (underscore); Combining two strings; The upper() function; The tuple data type; Summary; Exercises; Chapter 3: Using Python as a Financial Calculator; Writing a Python function without saving it; Default input values for a function; Indentation is critical in Python; Checking the existence of our functions; Defining functions from our Python editor; Activating our function using the import function Debugging a program from a Python editor Two ways to call our pv_f() function; Generating our own module; Types of comments; The first type of comment; The second type of comment; Finding information about our pv_f() function; The if() function; Annuity estimation; Converting the interest rates; Continuously compounded interest rate; A data type - list; Net present value and the NPV rule; Defining the payback period and the payback period rule; Defining IRR and the IRR rule; Showing certain files in a specific subdirectory; Using Python as a financial calculator Adding our project directory to the pathSummary; Exercises; Chapter 4: 13 Lines of Python to Price a Call Option; Writing a program - the empty shell method; Writing a program - the comment-all-out method; Using and debugging other programs; Summary; Exercises; Chapter 5: Introduction to Modules; What is a module?; Importing a module; Adopting a short name for an imported module; Showing all functions in an imported module; Comparing ""import math"" and ""from math import *""; Deleting an imported module; Importing only a few needed functions; Finding out all built-in modules Finding out all the available modules |
| Record Nr. | UNINA-9910790911003321 |
|
Yan Yuxing
|
||
| Birmingham, England : , : Packt Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Python for finance : build real-life Python applications for quantitative finance and financial engineering / / Yuxing Yan ; cover image by Aniket Sawant
| Python for finance : build real-life Python applications for quantitative finance and financial engineering / / Yuxing Yan ; cover image by Aniket Sawant |
| Autore | Yan Yuxing |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2014 |
| Descrizione fisica | 1 online resource (408 p.) |
| Disciplina | 005.133 |
| Collana | Community Experience Distilled |
| Soggetto topico |
Python (Computer program language)
Finance - Mathematical models - Computer programs |
| ISBN | 1-78328-438-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction and Installation of Python; Introduction to Python; Installing Python; Different versions of Python; Ways to launch Python; Launching Python with GUI; Launching Python from the Python command line; Launching Python from our own DOS window; Quitting Python; Error messages; Python language is case sensitive; Initializing the variable; Finding the help window; Finding manuals and tutorials; Finding the version of Python; Summary; Exercises
Chapter 2: Using Python as an Ordinary Calculator Assigning values to variables; Displaying the value of a variable; Error messages; Can't call a variable without assignment; Choosing meaningful names; Using dir() to find variables and functions; Deleting or unsigning a variable; Basic math operations - addition, subtraction, multiplication, and division; The power function, floor, and remainder; A true power function; Choosing appropriate precision; Finding out more information about a specific built-in function; Listing all built-in functions; Importing the math module The pi, e, log, and exponential functions""import math"" versus ""from math import *""; A few frequently used functions; The print() function; The type() function; Last expression _ (underscore); Combining two strings; The upper() function; The tuple data type; Summary; Exercises; Chapter 3: Using Python as a Financial Calculator; Writing a Python function without saving it; Default input values for a function; Indentation is critical in Python; Checking the existence of our functions; Defining functions from our Python editor; Activating our function using the import function Debugging a program from a Python editor Two ways to call our pv_f() function; Generating our own module; Types of comments; The first type of comment; The second type of comment; Finding information about our pv_f() function; The if() function; Annuity estimation; Converting the interest rates; Continuously compounded interest rate; A data type - list; Net present value and the NPV rule; Defining the payback period and the payback period rule; Defining IRR and the IRR rule; Showing certain files in a specific subdirectory; Using Python as a financial calculator Adding our project directory to the pathSummary; Exercises; Chapter 4: 13 Lines of Python to Price a Call Option; Writing a program - the empty shell method; Writing a program - the comment-all-out method; Using and debugging other programs; Summary; Exercises; Chapter 5: Introduction to Modules; What is a module?; Importing a module; Adopting a short name for an imported module; Showing all functions in an imported module; Comparing ""import math"" and ""from math import *""; Deleting an imported module; Importing only a few needed functions; Finding out all built-in modules Finding out all the available modules |
| Record Nr. | UNINA-9910826386903321 |
|
Yan Yuxing
|
||
| Birmingham, England : , : Packt Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||