Mastering Large Datasets with Python, Video Edition by John Wolohan
Category: Tutorials
- views: 44
- date: 19 December 2024
- posted by: voska89
MP4 | Free Download Video: AVC 1920 x 1080 | Audio: AAC 44 Khz 2ch | Duration: 07:43:50 | 1.05 GB
Genre: eLearning | Language: English
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally influenced approach to Python coding. You'll explore methods and built-in Python tools that lend themselves to clarity and scalability, like the high-performing parallelism method, as well as distributed technologies that allow for high data throughput. The abundant hands-on exercises in this practical tutorial will lock in these essential skills for any large-scale data science project.
About the Technology
Programming techniques that work well on laptop-sized data can slow to a crawl—or fail altogether—when applied to massive files or distributed datasets. By mastering the powerful map and reduce paradigm, along with the Python-based tools that support it, you can write data-centric applications that scale efficiently without requiring codebase rewrites as your
Requirements
change.About the Book
Mastering Large Datasets with Python teaches you to write code that can handle datasets of any size. You'll start with laptop-sized datasets that teach you to parallelize data analysis by breaking large tasks into smaller ones that can run simultaneously. You'll then scale those same programs to industrial-sized datasets on a cluster of cloud servers. With the map and reduce paradigm firmly in place, you'll explore tools like Hadoop and PySpark to efficiently process massive distributed datasets, speed up decision-making with machine learning, and simplify your data storage with AWS S3.
What's Inside
An introduction to the map and reduce paradigm
Parallelization with the multiprocessing module and pathos framework
Hadoop and Spark for distributed computing
Running AWS jobs to process large datasets
https://www.oreilly.com/library/view/mastering-large-datasets/9781617296239AU/
DOWNLOAD LINK
Rapidgator
xdtei.Mastering.Large.Datasets.with.Python.Video.Edition.part2.rar.html
xdtei.Mastering.Large.Datasets.with.Python.Video.Edition.part1.rar.html
Fikper
xdtei.Mastering.Large.Datasets.with.Python.Video.Edition.part2.rar.html
xdtei.Mastering.Large.Datasets.with.Python.Video.Edition.part1.rar.html
No Password - Links are Interchangeable
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||