Python for Probability, Statistics, and Machine Learning by José Unpingco

By José Unpingco

This ebook covers the most important rules that hyperlink likelihood, records, and desktop studying illustrated utilizing Python modules in those parts. the whole textual content, together with all of the figures and numerical effects, is reproducible utilizing the Python codes and their linked Jupyter/IPython notebooks, that are supplied as supplementary downloads. the writer develops key intuitions in computer studying through operating significant examples utilizing a number of analytical equipment and Python codes, thereby connecting theoretical strategies to concrete implementations. sleek Python modules like Pandas, Sympy, and Scikit-learn are utilized to simulate and visualize very important laptop studying recommendations just like the bias/variance trade-off, cross-validation, and regularization. Many summary mathematical principles, akin to convergence in chance idea, are constructed and illustrated with numerical examples. This publication is acceptable for an individual with an undergraduate-level publicity to chance, data, or computer studying and with rudimentary wisdom of Python programming.

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Think Python by Allen B. Downey

By Allen B. Downey

So one can how you can application, operating with Python is a wonderful solution to commence. This hands-on advisor takes you thru the language one step at a time, starting with simple programming thoughts earlier than relocating directly to services, recursion, info constructions, and object-oriented design.

Through routines in each one bankruptcy, you’ll attempt programming suggestions as you examine them. Think Python is perfect for college kids on the highschool or university point, in addition to self-learners, home-schooled scholars, and execs who have to examine programming basics.
* commence with the fundamentals, together with language syntax and semantics
* Get a transparent definition of every programming notion
* examine values, variables, statements, capabilities, and information constructions in a logical development
* notice how you can paintings with records and databases
* comprehend items, equipment, and object-oriented programming
* Use debugging strategies to mend syntax, runtime, and semantic blunders
* discover interface layout, facts constructions, and GUI-based courses via case reviews

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Beginning Python Games Development: With Pygame by Will McGugan, Harrison Kinsley

By Will McGugan, Harrison Kinsley

Beginning Python video games improvement, moment Edition teaches you ways to create compelling video games utilizing Python and the PyGame video games improvement library. it is going to train you ways to create visuals, do occasion dealing with, create 3D video games, upload media parts, and combine OpenGL into your Python game.

In this replace to the 1st ever ebook to hide the preferred open resource PyGame video games improvement library, you are going to stand to realize beneficial technical insights and keep on with in addition to the production of a real-world, freely downloadable online game. Written via veterans and Python specialists Will McGugan and Harrison Kinsley, this can be a entire, sensible creation to video games improvement in Python. you can even capitalize upon a variety of assistance and methods the authors have accrued over their careers growing video games for a few of the world's biggest video game developers.

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Pro Python (2nd Edition) by Marty Alchin, J. Burton Browning

By Marty Alchin, J. Burton Browning

You’ve discovered the fundamentals of Python, yet how do you are taking your abilities to the following level? no matter if you recognize sufficient to be effective, there are many beneficial properties that could take you to the following point in Python. seasoned Python, moment version explores thoughts and lines regularly left to experimentation, permitting you to be much more effective and creative.

In addition to natural code issues, professional Python develops your programming suggestions and methods, with the intention to assist in making you a greater Python programmer. This ebook will enhance not just your code but additionally your realizing and interplay with the numerous verified Python communities.

This ebook takes your Python wisdom and coding abilities to the subsequent point. It exhibits you the way to write down fresh, leading edge code that would be revered by means of your friends. With this e-book, make your code do extra with introspection and meta-programming. And examine and later use the nuts and bolts of an software, tier-by-tier as a fancy case examine alongside the way.

For additional info, together with a hyperlink to the resource code referenced within the publication, please stopover at http://propython.com/.

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Python Programming for Biology: Bioinformatics and Beyond by Tim J. Stevens, Wayne Boucher

By Tim J. Stevens, Wayne Boucher

Do you've gotten a organic query that may be without problems replied by means of computational strategies, yet little event in programming? do you need to profit extra concerning the center options utilized in computational biology and bioinformatics? Written in an obtainable type, this advisor offers a origin for either novices to desktop programming and people attracted to studying extra approximately computational biology. The chapters advisor the reader via: a whole novices' direction to programming in Python, with an advent to computing jargon; descriptions of center bioinformatics equipment with operating Python examples; clinical computing options, together with photograph research, information and laptop studying. This e-book additionally features as a language reference written in effortless English, masking the most typical Python language parts and a word list of computing and organic phrases. This identify will train undergraduates, postgraduates and execs operating within the lifestyles sciences the best way to software with Python, a strong, versatile and easy-to-use language.

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Spark for Python Developers by Amit Nandi

By Amit Nandi

Key Features

  • Set up real-time streaming and batch information extensive infrastructure utilizing Spark and Python
  • Deliver insightful visualizations in an internet app utilizing Spark (PySpark)
  • Inject stay facts utilizing Spark Streaming with real-time events

Book Description

Looking for a cluster computing process that gives high-level APIs? Apache Spark is your answer―an open resource, quickly, and normal goal cluster computing method. Spark's multi-stage reminiscence primitives offer functionality as much as a hundred occasions swifter than Hadoop, and it's also well-suited for computing device studying algorithms.

Are you a Python developer vulnerable to paintings with Spark engine? if that is so, this e-book might be your spouse as you create data-intensive app utilizing Spark as a processing engine, Python visualization libraries, and net frameworks corresponding to Flask.

To start with, you are going to examine the best technique to set up the Python improvement setting powered through Spark, Blaze, and Bookeh. you'll then tips to connect to facts shops corresponding to MySQL, MongoDB, Cassandra, and Hadoop.

You'll extend your abilities all through, getting familiarized with some of the facts assets (Github, Twitter, Meetup, and Blogs), their facts constructions, and recommendations to successfully take on complexities. you will discover datasets utilizing iPython workstation and should realize how one can optimize the knowledge types and pipeline. ultimately, you will get to understand the best way to create education datasets and educate the computing device studying models.

By the tip of the e-book, you might have created a real-time and insightful development tracker data-intensive app with Spark.

What you'll learn

  • Create a Python improvement surroundings powered via Spark (PySpark), Blaze, and Bookeh
  • Build a real-time development tracker info extensive app
  • Visualize the developments and insights won from information utilizing Bookeh
  • Generate insights from facts utilizing computer studying via Spark MLLIB
  • Juggle with information utilizing Blaze
  • Create education information units and teach the computer studying models
  • Test the desktop studying versions on try out datasets
  • Deploy the laptop studying algorithms and types and scale it for real-time events

About the Author

Amit Nandi studied physics on the loose college of Brussels in Belgium, the place he did his study on laptop generated holograms. laptop generated holograms are the main elements of an optical computing device, that is powered by means of photons operating on the velocity of sunshine. He then labored with the collage Cray supercomputer, sending batch jobs of courses written in Fortran. This gave him a flavor for computing, which saved becoming. He has labored greatly on huge enterprise reengineering tasks, utilizing SAP because the major enabler. He targeted for the final 15 years on start-ups within the info house, pioneering new parts of the data expertise panorama. he's at the moment targeting large-scale data-intensive purposes as an company architect, info engineer, and software program developer. He is aware and speaks seven human languages. even though Python is his machine language of selection, he goals that allows you to write fluently in seven computing device languages too.

Table of Contents

  1. Setting Up a Spark digital Environment
  2. Building Batch and Streaming Apps with Spark
  3. Juggling facts with Spark
  4. Learning from info utilizing Spark
  5. Streaming dwell information with Spark
  6. Visualizing Insights and Trends

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Learning IPython for Interactive Computing and Data by Cyrille Rossant

By Cyrille Rossant

You already use Python as a scripting language, yet do you know it's also more and more used for clinical computing and knowledge research? Interactive programming is vital in such exploratory initiatives and IPython is the best device for that. as soon as you’ve learnt it, you won’t be capable to reside with out it.

"Learning IPython for Interactive Computing and information Visualization" is a pragmatic, hands-on, example-driven instructional to significantly increase your productiveness in the course of interactive Python classes, and indicates you the way to successfully use IPython for interactive computing and information analysis.

This publication covers all features of IPython, from the hugely strong interactive Python console to the numerical and visualization positive factors which are typically linked to IPython.

You will learn the way IPython allows you to practice effective vectorized computations, via examples protecting numerical simulations with NumPy, information research with Pandas, and visualization with Matplotlib. additionally, you will notice how IPython may be very easily used to optimize your code utilizing parallel computing and dynamic compilation in C with Cython.

"Learning IPython for Interactive Computing and knowledge Visualization" will let you optimize your productiveness in interactive Python sessions.

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