Practical Data Science with Python 3: Synthesizing Actionable Insights from Data

Practical Data Science with Python 3: Synthesizing Actionable Insights from Data

English | PDF,EPUB | 2019 | 468 Pages | ISBN : 1484248589 | 23.76 MB

Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Along the way, you will be introduced to many popular open-source frameworks, like, SciPy, scikitlearn, Numba, Apache Spark, etc. The book is structured around examples, so you will grasp core concepts via case studies and Python 3 code.
As data science projects gets continuously larger and more complex, software engineering knowledge and experience is crucial to produce evolvable solutions. You'll see how to create maintainable software for data science and how to document data engineering practices.
This book is a good starting point for people who want to gain practical skills to perform data science. All the code will be available in the form of IPython notebooks and Python 3 programs, which allow you to reproduce all analyses from the book and customize them for your own purpose. You'll also benefit from advanced topics like Machine Learning, Recommender Systems, and Security in Data Science.
Practical Data Science with Python will empower you analyze data, formulate proper questions, and produce actionable insights, three core stages in most data science endeavors.
What You'll Learn

Play the role of a data scientist when completing increasingly challenging exercises using Python 3
Work work with proven data science techniques/technologies
Review scalable software engineering practices to ramp up data analysis abilities in the realm of Big Data
Apply theory of probability, statistical inference, and algebra to understand the data science practices
Who This Book Is For
Anyone who would like to embark into the realm of data science using Python 3.

Download:

http://longfiles.com/ksa2ekx6unon/Practical_Data_Science_with_Python_3_Synthesizing_Actionable_Insights_from_Data.rar.html

[Fast Download] Practical Data Science with Python 3: Synthesizing Actionable Insights from Data


Related eBooks:
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
Emotional Design in Human-Robot Interaction: Theory, Methods and Applications
Nonlinear Expectations and Stochastic Calculus under Uncertainty: with Robust CLT and G-Brownian Mot
Blow-Up in Nonlinear Equations of Mathematical Physics : Theory and Methods
Robotic Building
Proof!: How the World Became Geometrical
A Dictionary of Real Numbers
Introduction to Symplectic Dirac Operators (Lecture Notes in Mathematics) by Katharina Habermann
Forecasting with Univariate Box - Jenkins Models: Concepts and Cases
Peter Bank, Fabrice Baudoin - Paris-Princeton Lectures on Mathematical Finance 2002
Multiphase Flow Handbook
The Perfect Bet: How Science and Math Are Taking the Luck Out of Gambling
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.