Mastering Python Scientific Computing

A whole consultant for Python programmers to grasp medical computing utilizing Python APIs and tools

About This Book

  • The fundamentals of clinical computing to complex ideas related to parallel and big scale computation are all covered.
  • Most of the Python APIs and instruments utilized in clinical computing are mentioned in detail
  • The options are mentioned with compatible instance programs

Who This ebook Is For

If you're a Python programmer and need to get hold of clinical computing, this ebook is for you. The ebook expects you to have had publicity to numerous strategies of Python programming.

What you'll Learn

  • Fundamentals and parts of clinical computing
  • Scientific computing facts management
  • Performing numerical computing utilizing NumPy and SciPy
  • Concepts and programming for symbolic computing utilizing SymPy
  • Using the plotting library matplotlib for facts visualization
  • Data research and visualization utilizing Pandas, matplotlib, and IPython
  • Performing parallel and excessive functionality computing
  • Real-life case experiences and top practices of medical computing

In Detail

In state-of-the-art international, besides theoretical and experimental paintings, medical computing has turn into a massive a part of medical disciplines. Numerical calculations, simulations and laptop modeling at the present time shape nearly all of either experimental and theoretical papers. within the medical technique, replication and reproducibility are very important contributing elements. a whole and urban clinical end result might be reproducible and replicable. Python is appropriate for medical computing. a wide group of clients, lots of support and documentation, a wide number of medical libraries and environments, nice functionality, and sturdy help makes Python an exceptional selection for clinical computing.

At current Python is without doubt one of the most sensible offerings for constructing clinical workflow and the ebook goals latest Python builders to grasp this area utilizing Python. the most issues to benefit within the e-book are the idea that of medical workflow, handling clinical workflow facts and appearing computation in this facts utilizing Python.

The e-book discusses NumPy, SciPy, SymPy, matplotlib, Pandas and IPython with a number of instance programs.

Style and approach

This booklet follows a hands-on method of clarify the complicated strategies regarding medical computing. It info numerous APIs utilizing acceptable examples.

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Python Algorithms: Mastering Basic Algorithms in the Python Language

Python Algorithms, moment Edition explains the Python method of set of rules research and layout. Written through Magnus Lie Hetland, writer of Beginning Python, this publication is sharply thinking about classical algorithms, however it additionally offers a superior knowing of primary algorithmic problem-solving suggestions.

The publication offers with probably the most very important and not easy components of programming and laptop technology in a hugely readable demeanour. It covers either algorithmic idea and programming perform, demonstrating how conception is mirrored in actual Python courses. famous algorithms and information buildings which are outfitted into the Python language are defined, and the person is proven find out how to enforce and evaluation others.

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QGIS By Example

Leverage the facility of QGIS in real-world functions to turn into a robust consumer in cartography and GIS analysis

About This Book

  • Load and visualize spatial information, create spectacular maps and post them on-line, and successfully automate your paintings with assistance from QGIS processing framework
  • Learn approximately diversified GIS research via particular real-world examples
  • An example-based consultant to resolve most typical mapping and research initiatives utilizing real-world datasets

Who This e-book Is For

If you're a newbie or an intermediate GIS consumer, this e-book is for you. it really is excellent for practitioners, facts analysts, and alertness builders who've little or no or no familiarity with geospatial info and software.

What you'll Learn

  • Install QGIS and combine your information right into a spatial database to enhance information administration, speedup entry, and processing
  • Design appealing and informative print maps for a greater illustration of your information and research results
  • Publish your maps on the web with the QGIS Cloud hosting
  • Use the Heatmap plugin and hexagonal grids to discover sizzling areas through density analysis
  • Visualize your information in 3D and cost item visibility to discover the main scenic views
  • Perform suitability research to discover locations that meet your necessities and find out how to use spatial operations
  • Become extra efficient with the Processing framework through the use of types and scripts to automate repetitive and complicated tasks
  • Develop your individual Python plugin to increase QGIS's functionality

In Detail

QGIS is a number one hassle-free, cross-platform, open resource, laptop geographic info process (GIS). It presents many helpful functions and lines and their quantity is regularly transforming into. progressively more inner most clients and corporations select QGIS as their fundamental GIS software program since it is really easy to exploit, feature-rich, extensible, and has an immense and continually transforming into community.

This publication courses you from QGIS set up via information loading, and instruction to appearing commonest GIS analyses. you'll practice forms of GIS analyses together with density, visibility, and suitability research on useful, real-world facts. eventually, you are going to methods to develop into extra efficient and automate your daily paintings with the aid of the QGIS Processing framework and via constructing your personal Python plugins.

By the top of this e-book, you could have all of the invaluable wisdom approximately dealing with and reading spatial data.

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The Python Standard Library by Example

By Doug Hellmann

“Hellmann’s writing has turn into an quintessential source for me and so forth because it fills a severe hole in Python Documentation with examples.”

– Jesse Noller, Python middle Developer and PSF Board Member

Master the strong Python average Library via actual Code Examples

 

The Python commonplace Library includes enormous quantities of modules for interacting with the working process, interpreter, and Internet–all greatly confirmed and able to jump-start your program improvement. The Python commonplace Library by means of instance (2 quantity Set)  introduces almost each vital region of the Python 2.7 library via concise, stand-alone resource code/output examples, designed for simple studying and reuse.

 

Building on his well known Python Module of the Week blog sequence, writer and Python specialist Doug Hellmann makes a speciality of “showing” now not “telling.” He explains code habit via downloadable examples that totally exhibit every one feature.

 

You’ll locate functional code for operating with textual content, info forms, algorithms, math, dossier platforms, networking, the web, XML, electronic mail, cryptography, concurrency, runtime and language companies, and lots more and plenty extra. each one part absolutely covers one module, and hyperlinks to worthwhile extra assets, making this booklet an incredible instructional and reference. assurance includes

  • Manipulating textual content with string, textwrap, re, and difflib
  • Implementing facts constructions: collections, array, queue, struct, replica, and more
  • Reading, writing, and manipulating documents and directories
  • Regular expression development matching
  • Exchanging information and delivering for endurance Archiving and knowledge compression
  • Managing tactics and threads
  • Using program “building blocks”: parsing command-line recommendations, prompting for passwords, scheduling occasions, and logging
  • Testing, debugging, and compilation
  • Controlling runtime configuration
  • Using module and package deal utilities

If you’re new to Python, this publication will fast provide you with entry to an entire new international of performance. If you’ve labored with Python earlier than, you’ll realize new, robust strategies and higher how one can use the modules you’ve already tried.

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Real Python: An Introduction to Python Through Practical Examples

By Fletcher Heisler

An book to coach programming via hands-on, attention-grabbing examples which are priceless and fun!

Python is a smart programming language. It's loose, strong, more uncomplicated to learn than such a lot languages, and has extensions to be had to do virtually something you may think automatically.

But how do you certainly use it? There are hundreds assets in the market for studying Python, yet none of them are very useful or attention-grabbing - in its place, they cross over every one notion one after the other, by no means tying something jointly, yet spending lots of time misplaced in technical language, discussing the twenty alternative ways to complete each one simple task...

I are looking to write an booklet that at last supplies a concise creation to every thing you may really are looking to do with Python.

We'll commence with a brief yet thorough evaluation of the entire fundamentals, so that you don't even desire any previous event with programming. however the majority of the booklet may be spent increase instance code to unravel attention-grabbing real-world problems.

Python is amazing for automating repetitive projects that may in a different way take you hours - for example, fast collecting info from the internet, or renaming hundreds of thousands of records. the various issues that I'm making plans to cover:

Collecting info from webpages (web scraping)
Interacting with PDF records - analyzing facts, developing PDFs, enhancing pages, including passwords...
Interacting with Excel documents (less performance in OS X)
Calling different open air courses from inside Python
Files - read/write/modify, unzip, rename, circulation, etc.
Basic online game development
Interacting with SQL databases (internal and ODBC connections)
GUI (Graphical consumer Interface) layout - growing uncomplicated point-and-click courses that anybody can use
Any different themes that you simply, my backers, are so much in!
Update: via renowned call for, I'll be including net program development

All similar path fabrics downloadable at: http://www.psychotix.com/share/Real_Python.zip

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Python Programming Fundamentals (Undergraduate Topics in Computer Science)

By Kent D. Lee

This easy-to-follow and classroom-tested textbook publications the reader during the basics of programming with Python, an obtainable language which are realized incrementally. positive factors: incudes quite a few examples and perform workouts during the textual content, with extra workouts, suggestions and evaluation questions on the finish of every bankruptcy; highlights the styles which often look while writing courses, reinforcing the applying of those styles for problem-solving via perform routines; introduces using a debugger instrument to examine a software, permitting scholars to find for themselves how courses paintings and improve their knowing; provides the Tkinter framework for development graphical consumer interface functions and event-driven courses; offers educational video clips and extra info for college students, in addition to help fabrics for teachers, at an linked website.

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Python Algorithms: Mastering Basic Algorithms in the Python Language

Python Algorithms, moment Edition explains the Python method of set of rules research and layout. Written by way of Magnus Lie Hetland, writer of Beginning Python, this booklet is sharply fascinated about classical algorithms, however it additionally provides a superior figuring out of primary algorithmic problem-solving innovations.

The publication bargains with one of the most vital and difficult parts of programming and laptop technological know-how in a hugely readable demeanour. It covers either algorithmic conception and programming perform, demonstrating how conception is mirrored in actual Python courses. famous algorithms and information constructions which are outfitted into the Python language are defined, and the person is proven how one can enforce and evaluation others.

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Data Analysis with Open Source Tools

By Philipp K. Janert

Nowadays it sort of feels like everyone seems to be gathering info. yet all of that facts is simply uncooked details -- to make that info significant, it needs to be geared up, filtered, and analyzed. an individual can practice information research instruments and get effects, yet with out the appropriate method these effects will be lifeless.

Author Philipp Janert teaches you the way to think approximately information: tips on how to successfully strategy info research difficulties, and the way to extract all the to be had info out of your facts. Janert covers univariate info, information in a number of dimensions, time sequence information, graphical suggestions, info mining, computer studying, and lots of different subject matters. He additionally finds how seat-of-the-pants wisdom can lead you to the easiest strategy correct from the beginning, and the way to evaluate effects to figure out if they are meaningful.

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Gray Hat Python: Python Programming for Hackers and Reverse Engineers

By Justin Seitz

Python is speedy turning into the programming language of selection for hackers, opposite engineers, and software program testers simply because it is easy to write down speedy, and it has the low-level help and libraries that make hackers satisfied. yet previously, there was no actual guide on easy methods to use Python for a number of hacking initiatives. You needed to dig via discussion board posts and guy pages, forever tweaking your individual code to get every thing operating. now not anymore.

Gray Hat Python explains the suggestions in the back of hacking instruments and methods like debuggers, trojans, fuzzers, and emulators. yet writer Justin Seitz is going past conception, exhibiting you ways to harness current Python-based protection instruments - and the way to construct your personal whilst the pre-built ones will not reduce it.

You'll find out how to:

  • Automate tedious reversing and safeguard tasks
  • Design and application your personal debugger
  • Learn the way to fuzz home windows drivers and create strong fuzzers from scratch
  • Have enjoyable with code and library injection, gentle and difficult hooking innovations, and different software program trickery
  • Sniff safe site visitors out of an encrypted net browser session
  • Use PyDBG, Immunity Debugger, Sulley, IDAPython, PyEMU, and more

The world's most sensible hackers are utilizing Python to do their handiwork. can not you?

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Data Structures and Algorithms in Python

By Michael T. Goodrich

Based at the authors’ industry prime facts buildings books in Java and C++, this book deals a finished, definitive advent to information constructions in Python through authoritative authors. Data buildings and Algorithms in Python is the 1st authoritative object-oriented publication to be had for Python information buildings. Designed to supply a finished advent to facts constructions and algorithms, together with their layout, research, and implementation, the textual content will retain an analogous common constitution as Data buildings and Algorithms in Java and Data buildings and Algorithms in C++.

  • Begins through discussing Python’s conceptually easy syntax, which permits for a better concentrate on concepts.
  • Employs a constant object-oriented standpoint during the text.
  • Presents every one information constitution utilizing ADTs and their respective implementations and introduces vital layout styles as a method to arrange these implementations into sessions, tools, and objects.
  • Provides an intensive dialogue at the research and layout of basic info structures.
  • Includes many beneficial Python code examples, with resource code supplied at the website.
  • Uses illustrations to offer info constructions and algorithms, in addition to their research, in a transparent, visible manner.
  • Provides 1000's of workouts that advertise creativity, support readers the way to imagine like programmers, and strengthen very important concepts.
  • Contains many Python-code and pseudo-code fragments, and enormous quantities of routines, that are divided into approximately forty% reinforcement workouts, forty% creativity workouts, and 20% programming projects.

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