Category: Python

Web Scraping with Python Collecting Data from the Modern Web Book image 01
August 3rd, 2015 by admin

Web Scraping with Python: Collecting Data from the Modern Web Book
Book Title:

Web Scraping with Python: Collecting Data from the Modern Web

by: O’Reilly Media

Product rating: 4.5 with 6 reviews


Learn web scraping and crawling techniques to access unlimited data from any web source in any format. With this practical guide, you’ll learn how to use Python scripts and web APIs to gather and process data from thousands—or even millions—of web pages at once.

Ideal for programmers, security professionals, and web administrators familiar with Python, this book not only teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing. Code samples are available to help you understand the concepts in practice.

  • Learn how to parse complicated HTML pages
  • Traverse multiple pages and sites
  • Get a general overview of APIs and how they work
  • Learn several methods for storing the data you scrape
  • Download, read, and extract data from documents
  • Use tools and techniques to clean badly formatted data
  • Read and write natural languages
  • Crawl through forms and logins
  • Understand how to scrape JavaScript
  • Learn image processing and text recognition

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Python for Data Science For Dummies (For Dummies (Computers)) Book image 1
June 7th, 2015 by admin

Python for Data Science For Dummies (For Dummies (Computers)) Book
Book Title:

Python for Data Science For Dummies (For Dummies (Computers))

by: For Dummies

Product rating: 5.0 with 2 reviews


Unleash the power of Python for your data analysis projects with For Dummies!

Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns. You’ll get familiar with the Python development environment, manipulate data, design compelling visualizations, and solve scientific computing challenges as you work your way through this user-friendly guide.

  • Covers the fundamentals of Python data analysis programming and statistics to help you build a solid foundation in data science concepts like probability, random distributions, hypothesis testing, and regression models
  • Explains objects, functions, modules, and libraries and their role in data analysis
  • Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib

Whether you’re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data overload and doing interesting things with the oodles of information you uncover.

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