Category: Python

Download E-books Numerical Python: A Practical Techniques Approach for Industry PDF

By Robert Johansson

Numerical Python by Robert Johansson exhibits you the way to leverage the numerical and mathematical modules in Python and its normal Library in addition to well known open resource numerical Python programs like NumPy, FiPy, matplotlib and extra to numerically compute strategies and mathematically version functions in a couple of parts like vast information, cloud computing, monetary engineering, company administration and more.

After analyzing and utilizing this ebook, you will get a few takeaway case examine examples of purposes that may be present in components like company administration, vast data/cloud computing, monetary engineering (i.e., techniques buying and selling funding alternatives), or even games.

Up until eventually very lately, Python was once normally considered as only a net scripting language. good, computational scientists and engineers have lately stumbled on the pliability and tool of Python to do extra. huge info analytics and cloud computing programmers are seeing Python's colossal use. monetary engineers also are now utilising Python of their paintings. Python appears to be like evolving as a language which could even rival C++, Fortran, and Pascal/Delphi for numerical and mathematical computations.

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Download E-books Maya Python for Games and Film: A Complete Reference for Maya Python and the Maya Python API PDF

By Adam Mechtley

Maya Python for video games and Film is the 1st publication to concentration solely on tips to enforce Python with Maya. Written via relied on experts within the box, this in-depth consultant can help you grasp Maya Python, no matter if you are a pro technical artist seeking to make the transition from MEL to Python or an aspiring artist now not desirous to scramble for information.

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Download E-books Effective Python: 59 Specific Ways to Write Better Python (Effective Software Development Series) PDF

By Brett Slatkin

It is easy to begin writing code with Python: that is why the language is so immensely renowned. although, Python has distinct strengths, charms, and expressivity that may be tough to understand first and foremost -- in addition to hidden pitfalls which can simply journey you up if you happen to are not conscious of them. Effective Python may also help you harness the total strength of Python to jot down enormously powerful, effective, maintainable, and well-performing code. using the concise, scenario-driven type pioneered in Scott Meyers's best-selling Effective C++, Brett Slatkin brings jointly fifty nine Python most sensible practices, assistance, shortcuts, and practical code examples from professional programmers.

Through reasonable examples, Slatkin uncovers little-known Python quirks, intricacies, and idioms that powerfully influence code habit and function. you are going to pick out the best and potent strategy to accomplish key projects whilst a number of ideas exist, and the way to write down code that is more uncomplicated to appreciate, retain, and improve.

Drawing on his deep figuring out of Python's functions, Slatkin deals useful suggestion for every significant zone of improvement with either Python 3.x and Python 2.x. assurance includes:

  • Algorithms
  • Objects
  • Concurrency
  • Collaboration
  • Built-in modules
  • Production techniques
  • And more

each one part includes particular, actionable instructions equipped into goods, every one with rigorously worded recommendation supported by way of unique technical arguments and illuminating examples. utilizing Effective Python, you could systematically increase all of the Python code you write: no longer via blindly following ideas or mimicking incomprehensible idioms, yet by means of gaining a deep realizing of the technical the reason why they make experience.

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Download E-books Data Structures and Algorithms in Python PDF

By Michael T. Goodrich

Based at the authors’ industry best information constructions books in Java and C++, this book deals a accomplished, definitive advent to facts buildings in Python by means of authoritative authors. Data constructions and Algorithms in Python is the 1st authoritative object-oriented booklet on hand for Python info buildings. Designed to supply a accomplished creation to information buildings and algorithms, together with their layout, research, and implementation, the textual content will preserve an identical common constitution as Data constructions and Algorithms in Java and Data constructions and Algorithms in C++.

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

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Download E-books Two Scoops of Django: Best Practices For Django 1.5 PDF

By Daniel Greenfeld


The 3rd variation, Scoops of Django: most sensible Practices For Django 1.8 is out there! Revised and extended to 532 pages, it is a entire new e-book filled with new fabric. Please examine it earlier than paying for this edition!

Two Scoops of Django: top Practices For Django 1.5 is brim-full of fabric to help you along with your Django projects.

We'll introduce you to varied assistance, tips, styles, code snippets, and methods that we have picked up over the years.

We have positioned millions of hours into writing and revising its three hundred+ pages of concise, example-packed text.

What is every body asserting approximately Scoops of Django?

  • “A unmarried read-through of 2 Scoops of Django gave me such a lot of lightbulbs and information; I needed to return for a moment helping.” -- Lynn Root, crimson Hat engineer and PyLadies ambassador.
  • Ha ha, I realized anything within the first bankruptcy. Awesome. -- Zed Shaw, writer of research Python the demanding Way.
  • Two Scoops may still offer a few nutrition for idea and usable suggestions for anyone utilizing Django regularly. -- Malcolm Tredinnick, Django center Contributor
  • Make yes you might have your favourite venture subsequent to you whereas analyzing. you may be doing a little rewriting. -- Bryan Veloso, GitHubber, PyCon PH Keynote Speaker
  • If i'll time commute, first thing i might do will be provide my more youthful self a duplicate of this e-book, and make him learn it. -- Randall Degges, Passionate Python Hacker
  • You understand these classes you examine while tasks blow up on your face? This ebook includes numerous tasks worthy of such lessons. -- Lennart Regebro, writer of "Porting to Python 3"
  • This ebook should still end up to be an awesome source for any new-to-Django developer that alternatives it up. -- Kenneth Love, writer of "Getting began with Django"
  • No subject what your ability point is, Scoops has reliable counsel for everyone. -- Jeff Triplett, Developer at Revsys
  • This is the ebook i needed had existed and that i can have learn while i began studying Django. -- Barry Morrison, Linux platforms engineer and Django developer
  • Two Scoops of Django is by means of some distance the easiest Django ebook i have read. -- Ben Beecher on Twitter
  • Are there any negatives? good convinced. just one: I want i have learn it earlier! -- Branko Vukelic

Table of Contents

  • Chapter 1: Coding Conventions
  • Chapter 2: The optimum Django setting Setup
  • Chapter three: tips on how to Lay Out Django Projects
  • Chapter four: basics of Django App Design
  • Chapter five: Settings and requisites Files
  • Chapter 6: Database/Model top Practices
  • Chapter 7: Function-and Class-Based Views
  • Chapter eight: most sensible Practices for sophistication established Views
  • Chapter nine: universal styles for Forms
  • Chapter 10: extra issues to grasp approximately Forms
  • Chapter eleven: development relaxation APIs in Django
  • Chapter 12: Templates: top Practices
  • Chapter thirteen: Template Tags and Filters
  • Chapter 14: Tradeoffs of changing center Components
  • Chapter 15: operating With the Django Admin
  • Chapter sixteen: facing the consumer Model
  • Chapter 17: Django's mystery Sauce: Third-Party Packages
  • Chapter 18: trying out bankruptcy of Doom!
  • Chapter 19: Documentation: Be Obsessed
  • Chapter 20: discovering and lowering Bottlenecks
  • Chapter 21: safety top Practices
  • Chapter 22: Logging: information and Tools
  • Chapter 23: indications: Use circumstances and Avoidance Techniques
  • Chapter 24: What approximately these Random Utilities?
  • Chapter 25: Deploying Django Projects
  • Chapter 26: the best way to unlock your personal Django Packages
  • Chapter 27: ultimate Thoughts
  • Appendix A: applications pointed out during this Book
  • Appendix B: Troubleshooting

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Download E-books Python 3 Object-Oriented Programming - Second Edition PDF

By Dusty Phillips

Unleash the facility of Python three objects

About This Book

  • Stop writing scripts and begin architecting programs
  • Learn the newest Python syntax and libraries
  • A functional, hands-on instructional that teaches you all approximately summary layout styles and the way to enforce them in Python 3

Who This publication Is For

If you are new to object-oriented programming innovations, or when you have uncomplicated Python talents and want to benefit extensive how and while to properly observe object-oriented programming in Python to layout software program, this can be the ebook for you.

What you'll Learn

  • Implement gadgets in Python by means of developing sessions and defining methods
  • Separate comparable gadgets right into a taxonomy of sessions and describe the houses and behaviors of these items through the category interface
  • Extend category performance utilizing inheritance
  • Understand whilst to exploit object-oriented good points, and extra importantly whilst to not use them
  • Discover what layout styles are and why they're diversified in Python
  • Uncover the simplicity of unit trying out and why it is so very important in Python
  • Grasp universal concurrency innovations and pitfalls in Python 3
  • Exploit object-oriented programming in key Python applied sciences corresponding to Kivy and Django.
  • Object-oriented programming simultaneously with asyncio

In Detail

Python three is extra flexible and more straightforward to take advantage of than ever. It runs on all significant systems in a major array of use instances. Coding in Python minimizes improvement time and raises productiveness compared to different languages. fresh, maintainable code is straightforward to either learn and write utilizing Python's transparent, concise syntax.

Object-oriented programming is a well-liked layout paradigm during which info and behaviors are encapsulated in any such approach that they are often manipulated jointly. Many sleek programming languages make the most of the strong suggestions in the back of object-oriented programming and Python is not any exception.

Starting with a close research of object-oriented research and layout, you are going to use the Python programming language to obviously take hold of key ideas from the object-oriented paradigm. This publication totally explains periods, information encapsulation, inheritance, polymorphism, abstraction, and exceptions with an emphasis on in the event you can use every one precept to increase well-designed software.

You'll get an in-depth research of many universal object-oriented layout styles which are improved to Python's certain type. This e-book won't simply train Python syntax, yet also will construct your self assurance in tips to program.

You also will methods to create maintainable functions via learning larger point layout styles. Following this, you will research the complexities of string and dossier manipulation, and the way Python distinguishes among binary and textual information. now not one, yet very robust computerized checking out structures may be brought within the e-book. when you detect the enjoyment of unit trying out and simply how effortless it may be, you are going to learn better point libraries comparable to database connectors and GUI toolkits and find out how they uniquely observe object-oriented rules. you will find out how those rules will let you make larger use of key participants of the Python eco-system akin to Django and Kivy.

This new version contains all of the issues that made Python three Object-oriented Programming an speedy Packt vintage. it is also filled with up-to-date content material to mirror contemporary alterations within the middle Python library and covers smooth third-party applications that weren't to be had at the Python three platform whilst the publication used to be first published.

Style and approach

Throughout the publication you'll examine key object-oriented programming ideas proven by way of finished case reports within the context of a bigger project.

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Download E-books Designing Machine Learning Systems with Python PDF

Design effective computing device studying platforms that provide you with extra exact results

About This Book

  • Gain an figuring out of the computing device studying layout process
  • Optimize desktop studying structures for more advantageous accuracy
  • Understand universal programming instruments and strategies for desktop learning
  • Develop innovations and techniques for facing quite a lot of facts from quite a few sources
  • Build versions to resolve specified tasks

Who This booklet Is For

This e-book is for facts scientists, scientists, or simply the curious. To get the main out of this booklet, it is very important be aware of a few linear algebra and a few Python, and feature a uncomplicated wisdom of laptop studying concepts.

What you are going to Learn

  • Gain an figuring out of the computer studying layout process
  • Optimize the mistake functionality of your computer studying system
  • Understand the typical programming styles utilized in computer learning
  • Discover optimizing suggestions to help you get the main out of your data
  • Find out how one can layout versions uniquely suited for your task

In Detail

Machine studying is among the quickest transforming into traits in sleek computing. It has purposes in quite a lot of fields, together with economics, the traditional sciences, internet improvement, and company modeling. so one can harness the ability of those structures, it really is crucial that the practitioner develops a pretty good figuring out of the underlying layout principles.

There are many explanation why desktop studying versions would possibly not supply exact effects. by means of those platforms from a layout standpoint, we achieve a deeper figuring out of the underlying algorithms and the optimisational tools which are on hand. This ebook provide you with an outstanding starting place within the desktop studying layout method, and provide help to construct customised laptop studying versions to resolve distinct difficulties. you'll already find out about, or have labored with, a number of the off-the-shelf computer studying types for fixing universal difficulties corresponding to unsolicited mail detection or motion picture category, yet to start fixing extra advanced difficulties, you will need to adapt those types in your personal particular wishes. This ebook provides you with this knowing and more.

Style and approach

This easy-to-follow, step by step advisor covers crucial computer studying versions and strategies from a layout perspective.

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Download E-books Kivy: Interactive Applications in Python PDF

For Python builders this is often the clearest advisor to the interactive international of Kivi, perfect for assembly smooth expectancies of drugs and smartphones. From construction a UI to controlling advanced multi-touch occasions, it is all the following.


  • Use Kivy to enforce apps and video games in Python that run on a number of platforms
  • Discover tips on how to construct a person Interface (UI) in the course of the Kivy Language
  • Glue the UI parts with the common sense of the functions via occasions and the strong Kivy properties
  • Detect gestures, create animations, and agenda initiatives
  • Control multi-touch occasions with the intention to increase the consumer adventure (UX)

In Detail

Mobiles and capsules have introduced with them a dramatic swap within the application of purposes. Compatibility has turn into crucial, and this has elevated the type of interplay that clients count on: gestures, multi-touches, animations, and magic pens. Kivy is an open resource Python answer that covers those industry wishes with an easy-to-learn and swift improvement strategy. Kivy is turning out to be quickly and gaining realization in its place to the confirmed constructing platforms.

Kivy: Interactive functions in Python quick introduces you to the Kivy improvement method. you'll research a few examples of the way to take advantage of a number of the Kivy elements, in addition to know the way to combine and mix them into mammoth initiatives. This booklet serves as a reference consultant and is prepared in this sort of approach that when comprehensive, you might have already accomplished your first project.

You will begin by way of studying the Kivy Language for development consumer Interfaces (UI) and vector figures. We then continue to the makes use of of Kivy occasions and houses to connect the UI with the appliance logic.

You then pass directly to construct a whole person Interface (UI) ranging from a hand-made comic strip. in addition, you'll move directly to know how to exploit the canvas and drawing directions to create sorts of geometrical figures. ultimately, you may be brought to a massive set of interactive and soft positive factors: differences (scale, rotate, and translate), gestures, animations, scheduling initiatives, and multi-touch elements.

Kivy: Interactive functions in Python expands your wisdom via introducing quite a few parts that enhance the consumer adventure (UX). in the direction of the tip of the booklet, you can be convinced to make use of Kivy parts and techniques to begin any software or video game you may have in mind.

What you are going to examine from this book

  • Build a consumer Interface (UI) utilizing the Kivy Language
  • Understand and change the order of execution of the drawing instructions
  • Use the strong Kivy houses to maintain the UI consistently up to date with the final person interactions
  • Bind and unbind Kivy occasions to regulate widgets (UI components), touches, the mouse and keyboard, animations, and clock
  • Scale, rotate, and translate widgets
  • Control and turn among diversified screens
  • Develop and use your personal unmarried gestures
  • Create animations and mix them to deliver widgets to life
  • Add forms of translations to the animations
  • Comprehend the most options to regulate the multi-touch events
  • Schedule unmarried or repetitive initiatives comparable to animations


Kivy: Interactive functions in Python is an easy-to-follow booklet that would consultant you into the realm of Kivy.

Who this e-book is written for

This publication is geared toward Python builders who're accustomed to Python and feature a very good realizing of options like inheritance, periods, and situations. No prior event of Kivy is needed, even though a few wisdom of occasion dealing with, scheduling, and consumer interfaces, ordinarily, could develop your learning.

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Download E-books Python Pocket Reference (Pocket Reference (O'Reilly)) PDF

By Mark Lutz

Updated for either Python 3.4 and 2.7, this useful pocket advisor is the precise on-the-job quickly reference. You’ll locate concise, need-to-know details on Python varieties and statements, particular strategy names, integrated capabilities and exceptions, known normal library modules, and different well-liked Python instruments. The convenient index permits you to pinpoint precisely what you need.

Written via Mark Lutz—widely famous because the world’s prime Python trainer—Python Pocket Reference is a perfect better half to O’Reilly’s vintage Python tutorials, studying Python and Programming Python, additionally written through Mark.

This 5th variation covers:

  • Built-in item forms, together with numbers, lists, dictionaries, and more
  • Statements and syntax for developing and processing objects
  • Functions and modules for structuring and reusing code
  • Python’s object-oriented programming tools
  • Built-in features, exceptions, and attributes
  • Special operator overloading methods
  • Widely used ordinary library modules and extensions
  • Command-line thoughts and improvement tools
  • Python idioms and hints
  • The Python SQL Database API

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Download E-books Python Data Analysis PDF

By Ivan Idris

Learn tips to practice strong info research thoughts with renowned open resource Python modules

About This Book

  • Learn how to define, control, and examine information utilizing Python
  • Perform complex, excessive functionality linear algebra and mathematical calculations with fresh and effective Python code
  • An easy-to-follow advisor with sensible examples which are often utilized in real-world facts research projects

Who This e-book Is For

This e-book is for programmers, scientists, and engineers who've wisdom of the Python language and be aware of the fundamentals of knowledge technology. it really is when you desire to examine diversified information research equipment utilizing Python and its libraries. This ebook comprises all of the easy materials you must develop into knowledgeable info analyst.

What you are going to Learn

  • Install open resource Python modules on quite a few platforms
  • Get to understand in regards to the basics of NumPy together with arrays
  • Manipulate facts with pandas
  • Retrieve, approach, shop, and visualize data
  • Understand sign processing and time-series information analysis
  • Work with relational and NoSQL databases
  • Discover extra approximately info modeling and computing device learning
  • Get to grips with interoperability and cloud computing

In Detail

Python is a multi-paradigm programming language like minded for either object-oriented program improvement in addition to sensible layout styles. Python has turn into the language of selection for facts scientists for info research, visualization, and computer studying. it is going to offer you speed and advertise excessive productivity.

This booklet will educate newcomers approximately information research with Python within the broadest experience attainable, masking every little thing from information retrieval, cleansing, manipulation, visualization, and garage to advanced research and modeling. It specializes in a plethora of open resource Python modules similar to NumPy, SciPy, matplotlib, pandas, IPython, Cython, scikit-learn, and NLTK. In later chapters, the ebook covers subject matters akin to info visualization, sign processing, and time-series research, databases, predictive analytics and computing device studying. This e-book will flip you into an ace information analyst in no time.

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