Python Data Analytics : With Pandas, NumPy, and Matplotlib

Explore 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 For Experienced Python developers who need to learn about Pythonic tools for data analysis "Explore 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', is an invaluable reference with its examples of storing, accessing, and analyzing data."--Page 4 of cover Front Matter ....Pages i-xix An Introduction to Data Analysis (Fabio Nelli)....Pages 1-17 Introduction to the Python World (Fabio Nelli)....Pages 19-48 The NumPy Library (Fabio Nelli)....Pages 49-85 The pandas Library—An Introduction (Fabio Nelli)....Pages 87-139 pandas: Reading and Writing Data (Fabio Nelli)....Pages 141-180 pandas in Depth: Data Manipulation (Fabio Nelli)....Pages 181-229 Data Visualization with matplotlib (Fabio Nelli)....Pages 231-312 Machine Learning with scikit-learn (Fabio Nelli)....Pages 313-347 Deep Learning with TensorFlow (Fabio Nelli)....Pages 349-407 An Example— Meteorological Data (Fabio Nelli)....Pages 409-443 Embedding the JavaScript D3 Library in the IPython Notebook (Fabio Nelli)....Pages 445-471 Recognizing Handwritten Digits (Fabio Nelli)....Pages 473-486 Textual Data Analysis with NLTK (Fabio Nelli)....Pages 487-506 Image Analysis and Computer Vision with OpenCV (Fabio Nelli)....Pages 507-535 Back Matter ....Pages 537-569