Foundational Python for Data Science
Foundational Python for Data Science
Behrman, Kennedy
Pearson Education (US)
01/2022
256
Mole
Inglês
9780136624356
15 a 20 dias
420
Descrição não disponível.
Preface xiii
I: Learning Python in a Notebook Environment 1
1 Introduction to Notebooks 3
2 Fundamentals of Python 13
3 Sequences 25
4 Other Data Structures 37
5 Execution Control 55
6 Functions 67
II: Data Science Libraries 83
7 NumPy 85
8 SciPy 103
9 Pandas 113
10 Visualization Libraries 135
11 Machine Learning Libraries 153
12 Natural Language Toolkit 159
III: Intermediate Python 171
13 Functional Programming 173
14 Object-Oriented Programming 187
15 Other Topics 201
A Answers to End-of-Chapter Questions 215
Index 221
I: Learning Python in a Notebook Environment 1
1 Introduction to Notebooks 3
2 Fundamentals of Python 13
3 Sequences 25
4 Other Data Structures 37
5 Execution Control 55
6 Functions 67
II: Data Science Libraries 83
7 NumPy 85
8 SciPy 103
9 Pandas 113
10 Visualization Libraries 135
11 Machine Learning Libraries 153
12 Natural Language Toolkit 159
III: Intermediate Python 171
13 Functional Programming 173
14 Object-Oriented Programming 187
15 Other Topics 201
A Answers to End-of-Chapter Questions 215
Index 221
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
python + business analytics; python for data science; python for mbas; python + data science minor; python + data science major; python + msba; python + bioinformatics; scientific python; python bootcamp; sklearn; python + pandas; python + functions; python + machine learning; python + statistics; python + prediction; python manual; python guide; python certification; python coding; introduction to python; learn python coding; how to code python
Preface xiii
I: Learning Python in a Notebook Environment 1
1 Introduction to Notebooks 3
2 Fundamentals of Python 13
3 Sequences 25
4 Other Data Structures 37
5 Execution Control 55
6 Functions 67
II: Data Science Libraries 83
7 NumPy 85
8 SciPy 103
9 Pandas 113
10 Visualization Libraries 135
11 Machine Learning Libraries 153
12 Natural Language Toolkit 159
III: Intermediate Python 171
13 Functional Programming 173
14 Object-Oriented Programming 187
15 Other Topics 201
A Answers to End-of-Chapter Questions 215
Index 221
I: Learning Python in a Notebook Environment 1
1 Introduction to Notebooks 3
2 Fundamentals of Python 13
3 Sequences 25
4 Other Data Structures 37
5 Execution Control 55
6 Functions 67
II: Data Science Libraries 83
7 NumPy 85
8 SciPy 103
9 Pandas 113
10 Visualization Libraries 135
11 Machine Learning Libraries 153
12 Natural Language Toolkit 159
III: Intermediate Python 171
13 Functional Programming 173
14 Object-Oriented Programming 187
15 Other Topics 201
A Answers to End-of-Chapter Questions 215
Index 221
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
python + business analytics; python for data science; python for mbas; python + data science minor; python + data science major; python + msba; python + bioinformatics; scientific python; python bootcamp; sklearn; python + pandas; python + functions; python + machine learning; python + statistics; python + prediction; python manual; python guide; python certification; python coding; introduction to python; learn python coding; how to code python