New PDF release: Python Data Analysis

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By Ivan Idris

Learn tips to follow robust info research ideas with well known open resource Python modules

About This Book

  • Learn how to define, manage, and research information utilizing Python
  • Perform complex, excessive functionality linear algebra and mathematical calculations with fresh and effective Python code
  • An easy-to-follow consultant with life like examples which are usually utilized in real-world facts research projects

Who This publication Is For

This e-book is for programmers, scientists, and engineers who've wisdom of the Python language and understand the fundamentals of information technological know-how. it really is should you desire to examine diversified info research tools utilizing Python and its libraries. This e-book includes all of the easy materials you want to develop into knowledgeable facts analyst.

What you are going to Learn

  • Install open resource Python modules on quite a few platforms
  • Get to understand concerning the basics of NumPy together with arrays
  • Manipulate info with pandas
  • Retrieve, procedure, shop, and visualize data
  • Understand sign processing and time-series information analysis
  • Work with relational and NoSQL databases
  • Discover extra approximately info modeling and desktop learning
  • Get to grips with interoperability and cloud computing

In Detail

Python is a multi-paradigm programming language like minded for either object-oriented program improvement in addition to sensible layout styles. Python has turn into the language of selection for information scientists for information research, visualization, and desktop studying. it's going to offer you pace and advertise excessive productivity.

This e-book will educate newcomers approximately info research with Python within the broadest experience attainable, masking every thing from information retrieval, cleansing, manipulation, visualization, and garage to complicated research and modeling. It makes a speciality of a plethora of open resource Python modules corresponding to NumPy, SciPy, matplotlib, pandas, IPython, Cython, scikit-learn, and NLTK. In later chapters, the publication covers issues akin to information visualization, sign processing, and time-series research, databases, predictive analytics and computing device studying. This booklet will flip you into an ace information analyst in no time.

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Python Data Analysis by Ivan Idris

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