- Main
- Computers - Organization and Data Processing
- Fast Python for Data Science (MEAP V8)
Fast Python for Data Science (MEAP V8)
Tiago Rodrigues AntaoHow much do you like this book?
What’s the quality of the file?
Download the book for quality assessment
What’s the quality of the downloaded files?
Chapters 1 to 5, 7 to 10 of 10
Lastest book name is:
Fast Python: High performance techniques for large datasets
Master these effective techniques to reduce costs and run times, handle huge datasets, and implement complex machine learning applications efficiently in Python. Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together. Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working.
Lastest book name is:
Fast Python: High performance techniques for large datasets
Master these effective techniques to reduce costs and run times, handle huge datasets, and implement complex machine learning applications efficiently in Python. Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together. Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working.
Categories:
Year:
2022
Edition:
MEAP Version 8
Publisher:
Manning Publications
Language:
english
Pages:
273
ISBN 10:
1617297933
ISBN 13:
9781617297939
File:
PDF, 23.41 MB
Your tags:
IPFS:
CID , CID Blake2b
english, 2022
The file will be sent to your email address. It may take up to 1-5 minutes before you receive it.
The file will be sent to you via the Telegram messenger. It may take up to 1-5 minutes before you receive it.
Note: Make sure you have linked your account to Z-Library Telegram bot.
The file will be sent to your Kindle account. It may take up to 1–5 minutes before you receive it.
Please note: you need to verify every book you want to send to your Kindle. Check your mailbox for the verification email from Amazon Kindle.
Conversion to is in progress
Conversion to is failed
Premium benefits
- Send to eReaders
- Increased download limit
- File converter
- More search results
- More benefits