The statistics and calculus with Python workshop:
With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy Key Features Discover how most programmers use the main Python libraries when performing statistics with Python Use descriptive statisti...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham, UK
Packt Publishing
2020
|
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781800209763/?ar |
| Summary: | With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy Key Features Discover how most programmers use the main Python libraries when performing statistics with Python Use descriptive statistics and visualizations to answer business and scientific questions Solve complicated calculus problems, such as arc length and solids of revolution using derivatives and integrals Book Description Are you looking to start developing artificial intelligence applications? Do you need a refresher on key mathematical concepts? Full of engaging practical exercises, The Statistics and Calculus with Python Workshop will show you how to apply your understanding of advanced mathematics in the context of Python. The book begins by giving you a high-level overview of the libraries you'll use while performing statistics with Python. As you progress, you'll perform various mathematical tasks using the Python programming language, such as solving algebraic functions with Python starting with basic functions, and then working through transformations and solving equations. Later chapters in the book will cover statistics and calculus concepts and how to use them to solve problems and gain useful insights. Finally, you'll study differential equations with an emphasis on numerical methods and learn about algorithms that directly calculate values of functions. By the end of this book, you'll have learned how to apply essential statistics and calculus concepts to develop robust Python applications that solve business challenges. What you will learn Get to grips with the fundamental mathematical functions in Python Perform calculations on tabular datasets using pandas Understand the differences between polynomials, rational functions, exponential functions, and trigonometric functions Use algebra techniques for solving systems of equations Solve real-world problems with probability Solve optimization problems with derivatives and integrals Who this book is for If you are a Python programmer who wants to develop intelligent solutions that solve challenging business problems, then this book is for you. To better grasp the concepts explained in this book, you must have a thorough understanding of advanced mathematical concepts, such as Markov chains, Euler's formula, and Runge-Kutta methods as the book only explains how these techniques and concepts can be implemented in Py ... |
| Item Description: | Written by: Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen, Alexander Joseph Sarver, and Marios Tsatsos. - Online resource; title from title page (viewed November 6, 2020) |
| Physical Description: | 1 Online-Ressource (1 volume) Illustrationen |
| ISBN: | 9781800209763 |
Staff View
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-056584113 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121210.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 200916s2020 xx |||||o 00| ||eng c | ||
| 020 | |a 9781800209763 |9 978-1-80020-976-3 | ||
| 035 | |a (DE-627-1)056584113 | ||
| 035 | |a (DE-599)KEP056584113 | ||
| 035 | |a (ORHE)9781800209763 | ||
| 035 | |a (DE-627-1)056584113 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 100 | 1 | |a Farrell, Peter |d 1966- |e VerfasserIn |4 aut | |
| 245 | 1 | 4 | |a The statistics and calculus with Python workshop |
| 264 | 1 | |a Birmingham, UK |b Packt Publishing |c 2020 | |
| 300 | |a 1 Online-Ressource (1 volume) |b Illustrationen | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Written by: Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen, Alexander Joseph Sarver, and Marios Tsatsos. - Online resource; title from title page (viewed November 6, 2020) | ||
| 520 | |a With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy Key Features Discover how most programmers use the main Python libraries when performing statistics with Python Use descriptive statistics and visualizations to answer business and scientific questions Solve complicated calculus problems, such as arc length and solids of revolution using derivatives and integrals Book Description Are you looking to start developing artificial intelligence applications? Do you need a refresher on key mathematical concepts? Full of engaging practical exercises, The Statistics and Calculus with Python Workshop will show you how to apply your understanding of advanced mathematics in the context of Python. The book begins by giving you a high-level overview of the libraries you'll use while performing statistics with Python. As you progress, you'll perform various mathematical tasks using the Python programming language, such as solving algebraic functions with Python starting with basic functions, and then working through transformations and solving equations. Later chapters in the book will cover statistics and calculus concepts and how to use them to solve problems and gain useful insights. Finally, you'll study differential equations with an emphasis on numerical methods and learn about algorithms that directly calculate values of functions. By the end of this book, you'll have learned how to apply essential statistics and calculus concepts to develop robust Python applications that solve business challenges. What you will learn Get to grips with the fundamental mathematical functions in Python Perform calculations on tabular datasets using pandas Understand the differences between polynomials, rational functions, exponential functions, and trigonometric functions Use algebra techniques for solving systems of equations Solve real-world problems with probability Solve optimization problems with derivatives and integrals Who this book is for If you are a Python programmer who wants to develop intelligent solutions that solve challenging business problems, then this book is for you. To better grasp the concepts explained in this book, you must have a thorough understanding of advanced mathematical concepts, such as Markov chains, Euler's formula, and Runge-Kutta methods as the book only explains how these techniques and concepts can be implemented in Py ... | ||
| 650 | 0 | |a Artificial intelligence |x Mathematics | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 4 | |a Intelligence artificielle ; Mathématiques | |
| 650 | 4 | |a Python (Langage de programmation) | |
| 650 | 4 | |a Artificial intelligence ; Mathematics | |
| 650 | 4 | |a Python (Computer program language) | |
| 700 | 1 | |a Fuentes, Alvaro |e VerfasserIn |4 aut | |
| 700 | 1 | |a Kolhe, Ajinkya Sudhir |e VerfasserIn |4 aut | |
| 700 | 1 | |a Nguyen, Quan |e VerfasserIn |4 aut | |
| 700 | 1 | |a Sarver, Alexander Joseph |e VerfasserIn |4 aut | |
| 700 | 1 | |a Tsatsos, Marios |e VerfasserIn |4 aut | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781800209763/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Record in the Search Index
| DE-BY-TUM_katkey | ZDB-30-ORH-056584113 |
|---|---|
| _version_ | 1831287055606349824 |
| adam_text | |
| any_adam_object | |
| author | Farrell, Peter 1966- Fuentes, Alvaro Kolhe, Ajinkya Sudhir Nguyen, Quan Sarver, Alexander Joseph Tsatsos, Marios |
| author_facet | Farrell, Peter 1966- Fuentes, Alvaro Kolhe, Ajinkya Sudhir Nguyen, Quan Sarver, Alexander Joseph Tsatsos, Marios |
| author_role | aut aut aut aut aut aut |
| author_sort | Farrell, Peter 1966- |
| author_variant | p f pf a f af a s k as ask q n qn a j s aj ajs m t mt |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)056584113 (DE-599)KEP056584113 (ORHE)9781800209763 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04285cam a22004572c 4500</leader><controlfield tag="001">ZDB-30-ORH-056584113</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121210.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">200916s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781800209763</subfield><subfield code="9">978-1-80020-976-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)056584113</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP056584113</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781800209763</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)056584113</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Farrell, Peter</subfield><subfield code="d">1966-</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The statistics and calculus with Python workshop</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham, UK</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 volume)</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Written by: Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen, Alexander Joseph Sarver, and Marios Tsatsos. - Online resource; title from title page (viewed November 6, 2020)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy Key Features Discover how most programmers use the main Python libraries when performing statistics with Python Use descriptive statistics and visualizations to answer business and scientific questions Solve complicated calculus problems, such as arc length and solids of revolution using derivatives and integrals Book Description Are you looking to start developing artificial intelligence applications? Do you need a refresher on key mathematical concepts? Full of engaging practical exercises, The Statistics and Calculus with Python Workshop will show you how to apply your understanding of advanced mathematics in the context of Python. The book begins by giving you a high-level overview of the libraries you'll use while performing statistics with Python. As you progress, you'll perform various mathematical tasks using the Python programming language, such as solving algebraic functions with Python starting with basic functions, and then working through transformations and solving equations. Later chapters in the book will cover statistics and calculus concepts and how to use them to solve problems and gain useful insights. Finally, you'll study differential equations with an emphasis on numerical methods and learn about algorithms that directly calculate values of functions. By the end of this book, you'll have learned how to apply essential statistics and calculus concepts to develop robust Python applications that solve business challenges. What you will learn Get to grips with the fundamental mathematical functions in Python Perform calculations on tabular datasets using pandas Understand the differences between polynomials, rational functions, exponential functions, and trigonometric functions Use algebra techniques for solving systems of equations Solve real-world problems with probability Solve optimization problems with derivatives and integrals Who this book is for If you are a Python programmer who wants to develop intelligent solutions that solve challenging business problems, then this book is for you. To better grasp the concepts explained in this book, you must have a thorough understanding of advanced mathematical concepts, such as Markov chains, Euler's formula, and Runge-Kutta methods as the book only explains how these techniques and concepts can be implemented in Py ...</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield><subfield code="x">Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle ; Mathématiques</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence ; Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fuentes, Alvaro</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kolhe, Ajinkya Sudhir</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nguyen, Quan</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sarver, Alexander Joseph</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tsatsos, Marios</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781800209763/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-056584113 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-05T13:23:50Z |
| institution | BVB |
| isbn | 9781800209763 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (1 volume) Illustrationen |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Packt Publishing |
| record_format | marc |
| spelling | Farrell, Peter 1966- VerfasserIn aut The statistics and calculus with Python workshop Birmingham, UK Packt Publishing 2020 1 Online-Ressource (1 volume) Illustrationen Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Written by: Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen, Alexander Joseph Sarver, and Marios Tsatsos. - Online resource; title from title page (viewed November 6, 2020) With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy Key Features Discover how most programmers use the main Python libraries when performing statistics with Python Use descriptive statistics and visualizations to answer business and scientific questions Solve complicated calculus problems, such as arc length and solids of revolution using derivatives and integrals Book Description Are you looking to start developing artificial intelligence applications? Do you need a refresher on key mathematical concepts? Full of engaging practical exercises, The Statistics and Calculus with Python Workshop will show you how to apply your understanding of advanced mathematics in the context of Python. The book begins by giving you a high-level overview of the libraries you'll use while performing statistics with Python. As you progress, you'll perform various mathematical tasks using the Python programming language, such as solving algebraic functions with Python starting with basic functions, and then working through transformations and solving equations. Later chapters in the book will cover statistics and calculus concepts and how to use them to solve problems and gain useful insights. Finally, you'll study differential equations with an emphasis on numerical methods and learn about algorithms that directly calculate values of functions. By the end of this book, you'll have learned how to apply essential statistics and calculus concepts to develop robust Python applications that solve business challenges. What you will learn Get to grips with the fundamental mathematical functions in Python Perform calculations on tabular datasets using pandas Understand the differences between polynomials, rational functions, exponential functions, and trigonometric functions Use algebra techniques for solving systems of equations Solve real-world problems with probability Solve optimization problems with derivatives and integrals Who this book is for If you are a Python programmer who wants to develop intelligent solutions that solve challenging business problems, then this book is for you. To better grasp the concepts explained in this book, you must have a thorough understanding of advanced mathematical concepts, such as Markov chains, Euler's formula, and Runge-Kutta methods as the book only explains how these techniques and concepts can be implemented in Py ... Artificial intelligence Mathematics Python (Computer program language) Intelligence artificielle ; Mathématiques Python (Langage de programmation) Artificial intelligence ; Mathematics Fuentes, Alvaro VerfasserIn aut Kolhe, Ajinkya Sudhir VerfasserIn aut Nguyen, Quan VerfasserIn aut Sarver, Alexander Joseph VerfasserIn aut Tsatsos, Marios VerfasserIn aut |
| spellingShingle | Farrell, Peter 1966- Fuentes, Alvaro Kolhe, Ajinkya Sudhir Nguyen, Quan Sarver, Alexander Joseph Tsatsos, Marios The statistics and calculus with Python workshop Artificial intelligence Mathematics Python (Computer program language) Intelligence artificielle ; Mathématiques Python (Langage de programmation) Artificial intelligence ; Mathematics |
| title | The statistics and calculus with Python workshop |
| title_auth | The statistics and calculus with Python workshop |
| title_exact_search | The statistics and calculus with Python workshop |
| title_full | The statistics and calculus with Python workshop |
| title_fullStr | The statistics and calculus with Python workshop |
| title_full_unstemmed | The statistics and calculus with Python workshop |
| title_short | The statistics and calculus with Python workshop |
| title_sort | statistics and calculus with python workshop |
| topic | Artificial intelligence Mathematics Python (Computer program language) Intelligence artificielle ; Mathématiques Python (Langage de programmation) Artificial intelligence ; Mathematics |
| topic_facet | Artificial intelligence Mathematics Python (Computer program language) Intelligence artificielle ; Mathématiques Python (Langage de programmation) Artificial intelligence ; Mathematics |
| work_keys_str_mv | AT farrellpeter thestatisticsandcalculuswithpythonworkshop AT fuentesalvaro thestatisticsandcalculuswithpythonworkshop AT kolheajinkyasudhir thestatisticsandcalculuswithpythonworkshop AT nguyenquan thestatisticsandcalculuswithpythonworkshop AT sarveralexanderjoseph thestatisticsandcalculuswithpythonworkshop AT tsatsosmarios thestatisticsandcalculuswithpythonworkshop AT farrellpeter statisticsandcalculuswithpythonworkshop AT fuentesalvaro statisticsandcalculuswithpythonworkshop AT kolheajinkyasudhir statisticsandcalculuswithpythonworkshop AT nguyenquan statisticsandcalculuswithpythonworkshop AT sarveralexanderjoseph statisticsandcalculuswithpythonworkshop AT tsatsosmarios statisticsandcalculuswithpythonworkshop |