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  Browse All Reviews > Software (D) > Programming Languages (D.3) > Language Classifications (D.3.2) > Python (D.3.2...)  
  1-10 of 91 Reviews about "Python (D.3.2...)": Date Reviewed
  Foundational Python for data science
Behrman K., Addison-Wesley Professional, Boston, MA, 2021. 256 pp.  Type: Book (978-1-366243-59-1)

The collection of books on data science is becoming so large that it is itself an interesting subject for data science analysis [1,2]. This is amply justified by the galloping success of data science among students, researchers, and practitioners ...

Apr 20 2023
  Practical explainable AI using Python: artificial intelligence model explanations using Python-based libraries, extensions, and frameworks
Mishra P., Apress, New York, NY, 2022. 364 pp.  Type: Book (978-1-484271-57-5)

In recent years, the overwhelming successes provided by artificial intelligence (AI) and machine learning (ML) methods have been stunning. All computer scientists know about very efficient picture tagging with convolutional neural networks (CNNs) ...

Apr 17 2023
  Mathematical logic through Python
Gonczarowski Y., Nisan N., Cambridge University Press, Cambridge, UK, 2022. 284 pp.  Type: Book (1108949479)

Mathematical logic through Python, by Gonczarowski and Nisan, provides a Python implementation of logical concepts and mathematical proofs. It aims at covering major topics for a typical undergraduate course in mathematical logic....

Apr 11 2023
  Dive into algorithms: a Python adventure for the intrepid beginner
Tuckfield B., No Starch Press, San Francisco, CA, 2021. 248 pp.  Type: Book (978-1-718500-68-6), Reviews: (2 of 2)

While writing this review, I faced a troubling problem: how to get my crying four-month-old to sleep. This is the kind of problem humans should be able to solve, right? (Considering the endless nights that I have spent awake, this might not be the...

Apr 10 2023
  Pandas for everyone: Python data analysis (2nd ed.)
Chen D., Pearson, Hoboken, NJ, 2023. 512 pp.  Type: Book (0137891156)

Pandas (the name comes from the term “panel data”) is an open-source Python library for manipulating large datasets. Tasks include data cleansing, analysis, and visualization. Pandas extends Python with two new data types: Series and D...

Apr 7 2023
   Foundations of deep reinforcement learning: theory and practice in Python
Graesser L., Loon Keng W., Pearson, Boston, MA, 2019. 416 pp.  Type: Book (978-0-135172-38-4)

Even for specialists well acquainted with more classical topics in machine learning, for example, plain supervised or unsupervised tasks (regression, classification, clustering, and the like), reinforcement learning (RL) can be quite c...

Jul 13 2022
  Data science solutions with Python: fast and scalable models using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn
Nokeri T., Apress, New York, NY, 2021. 136 pp.  Type: Book (978-1-484277-61-4)

This book elaborates on different models of data science. It includes a brief description of theory, which is supported by program/code listings....

Jun 29 2022
   Dive into algorithms: a Python adventure for the intrepid beginner
Tuckfield B., No Starch Press, San Francisco, CA, 2021. 248 pp.  Type: Book (978-1-718500-68-6), Reviews: (1 of 2)

Algorithms--their concepts, theory, and methods--are not limitedto computer science. My recipe for making chili for dinner is analgorithm, as are my lesson plans for my courses, and the Internal Revenue Service (IRS) ...

May 2 2022
  Python Distilled
Beazley D., Addison-Wesley Professional, Boston, MA, 2021. 352 pp.  Type: Book (978-0-134173-27-6)

Python has been around for more than two decades. It was introduced in the early 1990s as a simple programming language and by 2000, we had Python 2. Ever since 2008, however, Python 3 has been the more popular and powerful language. N...

Mar 25 2022
   Introduction to machine learning in the cloud with python: concepts and practices
Gupta P., Sehgal N., Springer International Publishing, New York, NY, 2021. 303 pp.  Type: Book (978-3-030712-69-3)

Cloud computing vendors, such as Amazon, IBM, Google, Oracle, Microsoft, and others, not only provide storage and compute resources for applications, but data analytics services as well. These platforms support various dataset exploration and mode...

Feb 24 2022
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