Packt.Fast.Numerical.Computing.with.Python-XQZT

Section
Appz
Group
XQZT
Size
618,49 MB
Files
15
Date
2020-03-18

NFO

Another exquisit release

Packt.Fast.Numerical.Computing.with.Python-XQZT

     Title: Fast Numerical Computing with Python
 Publisher: Packt
      Size: 619M (648534956 B)
     Files: 13F
      Date: 03/18/2020

  Course #: 9781789804041
      Type: N/A
 Published: 18 Mar 2020
  Modified: N/A
       URL: www.packtpub.com/data/fast-numerical-computing-with-python-video
    Author: N/A
  Duration: 3 hours 17 minutes
     Skill: N/A
 Exer/Code: [X]

Installation:
Unpack that shit, run that shit

Description:
Performing numerical computations using conventional Python
methods is inefficient as complex calculations can take their toll
on your system's performance. However, NumPy, the core library for
scientific computing in Python, helps keep computations fast and
lets your system perform efficiently.
This course adopts a
step-by-step approach where you learn through live examples. You
will learn numerical computations by performing them! Gain the
skills you need to become a better Python developer or data
scientist. Beginning with NumPy's arrays and functions, you'll
master linear algebra concepts, perform vector and matrix math
operations, and use NumPy in Python (using quick and easy
techniques) to derive numerical results faster and far more
easily than with any other tool. You will understand and
practice data processing and predictive modeling throughout the
course.
By the end of this course, you will have developed a
strong foundation in solving numerical computational problems with
NumPy. You will also have a really good knowledge of Python and
will be ready to advance your career as a Python developer or data
scientist.
 All the code and supporting files for this course are
available at

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