- Python Workout / Practices of a Python Pro / Classic Computer Science Problems in Python - Nov 13, 2019.
Whether you’re a beginner or an expert, there’s always new ways you can improve your Python coding. Save 40% off this trio of Manning Python books today! Just enter the code nlpropython40 at checkout when you buy from manning.com.
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- Math for Programmers.. - Oct 9, 2019.
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.
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- Learn Quantum Computing with Python and Q#, Get Programming with Python, Data Science with Python and Dask - Sep 4, 2019.
Save 40% on Get Programming with Python, Data Science with Python and Dask, and Learn Quantum Computing with Python and Q# with code nlpython40.
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- Math for Programmers - Aug 19, 2019.
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.
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- Exploring Python Basics. - Jul 29, 2019.
This free ebook is a great resource for data science beginners, providing a good introduction into Python, coding with Raspberry Pi, and using Python to building predictive models.
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- Python Users Come From All Sorts of Backgrounds - Jun 18, 2019.
Python users come from all sorts of backgrounds, but computer science skills make the difference between a Python apprentice and a Python master. Save 50% off Classic Computer Science Problems in Python today, using the code kdcsprob50 when you buy from manning.com.
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Math for Programmers. - Jun 7, 2019.
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.
Tags: Book, Manning, Mathematics, Programming
- Books on Graph-Powered Machine Learning, Graph Databases, Deep Learning for Search – 50% off - May 9, 2019.
These 3 books will help you make the most from graph-powered databases. For a limited time, get 50% off any of them with the code kdngraph.
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- Math for Programmers - Apr 11, 2019.
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.
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- LiveVideo Courses on AI, Big Data, Machine Learning – only $25 through March 31 - Mar 11, 2019.
All Manning live video courses, includes courses on AI, Big Data, Deep Learning, Machine Learning, Reinforcement Learning, and more - are on sale until March 31 - only twenty five dollars.
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- Exploring Python Basics - Jan 31, 2019.
This free eBook is a great resource for any beginner, providing a good introduction into Python, a look at the basics of learning a programming language and explores modelling and predictions.
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- Math for Programmers - Jan 15, 2019.
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.
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- Manning Countdown to 2019 – Big Deals on AI, Data Science, Machine Learning books and videos - Dec 28, 2018.
Introducing the Manning countdown to 2019, where each day you’ll be able to get a different one day deal on some of their biggest books and video courses.
Tags: Book, Deep Learning, ebook, Manning, Python
- Exploring the Data Jungle Free eBook - Dec 18, 2018.
This free eBook by Brian Godsey will provide you with real-world examples in Python, R, and other languages suitable for data science.
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- The Quick Python Book - Dec 5, 2018.
Written for programmers new to Python, this latest edition includes new exercises throughout. It covers features common to other languages concisely, while introducing Python's comprehensive standard functions library and unique features in detail.
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- Graph-Powered Machine Learning - Dec 3, 2018.
This book from Manning Publications is a wonderful introduction to graphs for machine learning enthusiasts, as well as a great entrée into machine learning for graph experts.
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- Free ebook: Exploring Data with Python - Nov 29, 2018.
This free eBook starts building your foundation in data science processes with practical Python tips and techniques for working and aspiring data scientists.
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