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  Browse All Reviews > Software (D) > Programming Languages (D.3) > Language Classifications (D.3.2) > Python (D.3.2...)  
 
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  1-10 of 125 Reviews about "Python (D.3.2...)": Date Reviewed
  Natural language processing recipes: unlocking text data with machine learning and deep learning using Python
Kulkarni A., Shivananda A.,  Apress, New York, NY, 2019. 260 pp. Type: Book (978-1-484242-66-7)

Python--30 years in the making and named after the hilariously funny Monty Python’s Flying Circus--has become the preferred language for natural language processing (NLP) for a number of reasons: it is easier to program than...

Nov 26 2021
  Mining imperfect data: with examples in R and Python (2nd ed.)
Pearson R.,  SIAM, Philadelphia, PA, 2020. 184 pp. Type: Book (978-1-611976-26-7)

Data analysis--including both data mining and machine learning--has made a lot of progress in the past decade. Both the R and Python programming languages have been used to analyze data. The Achilles’ heel in this task is the handl...

Nov 19 2021
   Practical natural language processing with Python: with case studies from industries using text data at scale
Sri M.,  Apress, New York, NY, 2021. 272 pp. Type: Book (978-1-484262-45-0)

Understanding spoken and written communication can be difficult, even for humans. Creating linguistic processes and algorithms for computers is extremely challenging. Natural language processing (NLP) technology is more common than most people rea...

Nov 9 2021
  Learning scientific programming with Python (2nd ed.)
Hill C.,  Cambridge University Press, Cambridge, UK, 2020. 570 pp. Type: Book (978-1-108745-91-8)

The author is a scientist, and this text is for science and engineering students who want to learn Python. It covers Python well using many science-based examples. While the book does not explain the science, it does include the appropriate formul...

Nov 2 2021
  Quantum machine learning with Python: using Cirq from Google Research and IBM Qiskit
Pattanayak S.,  Apress, New York, NY, 2021. 384 pp. Type: Book (978-1-484265-21-5)

Machine learning has proved to be very successful in computer science, with applications to many areas in human life. Quantum computing is a marvelous new computation model with applications to some very hard problems. This book is at the crossroa...

Oct 28 2021
  A beginners guide to Python 3 programming
Hunt J.,  Springer International Publishing, New York, NY, 2019. 433 pp. Type: Book (978-3-030202-89-7)

This comprehensive, well-written book covers the programming language Python in great depth--likely more than the “beginner” suggested in the title needs. Indeed, novice programmers who work their way through the entire book (37 c...

Aug 5 2021
   Natural language processing with Python and spaCy: a practical introduction
Vasiliev Y.,  No Starch Press, San Francisco, CA, 2020. 192 pp. Type: Book (978-1-718500-52-5)

Having had three Amazon Alexa units in my house for years, I’ve always wondered how my utterances are interpreted and understood by a machine, and how a machine talks back to me and carries out my commands without error (almost!). This book ...

Mar 18 2021
  Python for probability, statistics, and machine learning (2nd ed.)
Unpingco J.,  Springer International Publishing, New York, NY, 2019. 384 pp. Type: Book (978-3-030185-44-2)

The aim of this book is to offer programmers a tutorial on how to use Python libraries, like NumPy, Matplotlib, Pandas, SciPy, and SymPy, to perform probability evaluations and statistical analyses as the foundations for studying machine learning....

Oct 15 2020
  Pro Python 3: features and tools for professional development (3rd ed.)
Browning J., Alchin M.,  Apress, New York, NY, 2019. 480 pp. Type: Book (978-1-484243-84-8)

This is an excellent book aimed at intermediate-level programmers already familiar with basic Python. The book aims to take these programmers to the next level by encouraging good habits and by examining various features and aspects of Python, suc...

Feb 26 2020
  Personal finance with Python: using pandas, Requests, and Recurrent
Humber M.,  Apress, New York, NY, 2018. 117 pp. Type: Book (978-1-484238-01-1), Reviews: (2 of 2)

I could start this review by trying to define as accurately as possible the book’s audience. Is it for Python programmers eager to apply their knowledge to personal finance applications? Or is it for people involved, one way or another, in t...

Sep 27 2019
 
 
 
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