Mastering Python Data Analysis Magnus Vilhelm Persson
Publisher: Packt Publishing, Limited
A complete guide for Python programmers to master scientific computing usingPython Data analysis and visualization using Pandas, matplotlib, and IPython. Selection from Mastering Python Data Visualization [Book] Pandas have a productive environment for data analysis. Mastering Python for Data Science. Principal component analysis (PCA) transforms the attributes of unlabeled data using a simple rearrangement and transformation with rotation. Python has excellent toolkits and APIs that are used to analyze, visualize, and present data and the results of computations. With this book, we will get you started with Python data analysis and show you what its advantages are. Mastering Python for Finance [James Ma Weiming] on Amazon.com. Python for Finance: Analyze Big Financial Data by Yves Hilpisch Paperback $40.13. This involves being clever, understanding the domain of the data, and mastering a versatile toolset for that job. A complete guide for Python programmers to master scientific scientific workflow data and performing computation on this data using Python. Mastering Python for Finance Also, you will learn how you can perform dataanalytics on market indexes and use NoSQL to store tick data. Learn to use powerful Python libraries for effective data processing and analysis. Analysis of social networks Accessing data from social networks, such as LinkedIn, Facebook, or Twitter, used to be much simpler and easier several years ago. Pandas have a productive environment for data analysis.