## Python Data Analytics: With Pandas, NumPy, and MatplotlibExplore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This revision is fully updated with new content on social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Second Edition is an invaluable reference with its examples of storing, accessing, and analyzing data.What You'll Learn- Understand the core concepts of data analysis and the Python ecosystem
- Go in depth with pandas for reading, writing, and processing data
- Use tools and techniques for data visualization and image analysis
- Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch
Who This Book Is ForExperienced Python developers who need to learn about Pythonic tools for data analysis |

### No interior do livro

Página 17

The main argument of this book is to develop all the concepts of data analysis by

treating them in terms of Python. The

used in scientific circles because of its large number of libraries that provide a ...

The main argument of this book is to develop all the concepts of data analysis by

treating them in terms of Python. The

**Python programming**language is widelyused in scientific circles because of its large number of libraries that provide a ...

Página 18

The

editors, libraries, notebooks, etc. This Python world has expanded greatly in

recent years, enriching and taking forms that developers who approach it for the

first time ...

The

**Python language**, and the world around it, is made by interpreters, tools,editors, libraries, notebooks, etc. This Python world has expanded greatly in

recent years, enriching and taking forms that developers who approach it for the

first time ...

Página 20

Once you write the code, you need an interpreter to run it. The interpreter is a

program that is installed on each machine that has the task of interpreting the

source ...

**Python**is an interpreted**programming language**, that is, it's pseudo-compiled.Once you write the code, you need an interpreter to run it. The interpreter is a

program that is installed on each machine that has the task of interpreting the

source ...

Página 21

Python is an open-source programming language. CPython, which is the

reference implementation of the

source. Additionally every module or library in the network is open source and

their code ...

Python is an open-source programming language. CPython, which is the

reference implementation of the

**Python language**, is completely free and opensource. Additionally every module or library in the network is open source and

their code ...

Página 354

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### Índice

1 | |

18 | |

49 | |

The pandas LibraryAn Introduction | 87 |

pandas Reading and Writing Data | 140 |

pandas in Depth Data Manipulation | 181 |

Data Visualization with matplotlib | 231 |

Machine Learning with scikitlearn | 313 |

An Example Meteorological Data | 409 |

Embedding the JavaScript D3 Library in the IPython Notebook | 444 |

Recognizing Handwritten Digits | 473 |

Textual Data Analysis with NLTK | 487 |

Image Analysis and Computer Vision with OpenCV | 507 |

Writing Mathematical Expressions with LaTeX | 536 |

Open Data Sources | 549 |

Index | 554 |

### Outras edições - Ver tudo

Python Data Analytics: With Pandas, NumPy, and Matplotlib Fabio Nelli Pré-visualização indisponível - 2018 |

Python Data Analytics: With Pandas, NumPy, and Matplotlib Fabio Nelli Pré-visualização indisponível - 2018 |

### Palavras e frases frequentes

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