Fast music your improvement abilities to construct strong Odoo enterprise applications
About This Book
- Leverage the robust and quick improvement Odoo framework to construct the fitting app to your company needs
- Learn to take advantage of versions, perspectives, and company common sense to gather strong company purposes effectively
- Get up and working with Odoo and combine it with exterior information and functions utilizing this easy-to-follow guide
Who This ebook Is For
This booklet is meant for builders who have to speedy turn into effective with Odoo. you're anticipated to have adventure constructing enterprise purposes, in addition to an knowing of MVC software layout and information of the Python programming language.
What you'll Learn
- Set up a improvement atmosphere and deal with your Odoo cases and databases
- Develop from a distant notebook comparable to home windows utilizing Odoo
- Create your first Odoo program and get familiar with the improvement workflow
- Build module extensions and comprehend the inheritance mechanisms
- Use XML and CSV facts records and exterior IDs to load and export information on your company applications
- Structure the appliance facts version utilizing Odoo's item Relation Mapping (ORM) capabilities
- Design potent person interfaces utilizing varieties, lists, and kanban views
- Integrate Odoo with different platforms utilizing the exterior API
- Deploy Odoo and your corporation software for creation use
Odoo is a strong and fast-growing company program platform. starting with constructing the improvement setting, this e-book will then consultant you thru a realistic trip to construct feature-rich enterprise applications.
With the purpose of jumpstarting your Odoo skillability point, from no particular wisdom to program improvement readiness, you may be set at the course of constructing your first Odoo software. Then, you are going to stream directly to issues resembling types and perspectives and realizing and utilizing server APIs so as to add company good judgment, in an effort to lay a fantastic starting place for complex topics.
The booklet concludes with a consultant to Odoo interplay and the way to take advantage of the Odoo API from different courses, all of with a purpose to assist you successfully combine functions with different exterior systems.
Ask any Python aficionado and you may listen that Python programmers have all of it: a sublime object-oriented language with readable and maintainable syntax, that enables for simple integration with parts in C, C++, Java, or C#, and an immense choice of precoded regular library and third-party extension modules. in addition, Python is simple to benefit, but robust sufficient to tackle the main formidable programming demanding situations. yet what Python programmers used to lack is a concise and transparent reference source, with the ideal degree of steering in how most sensible to take advantage of Python's nice energy. Python in a Nutshell fills this need.
Python in a Nutshell, moment variation covers greater than the language itself; it additionally bargains with the main usually used components of the normal library, and the preferred and critical 3rd social gathering extensions. Revised and multiplied for Python 2.5, this e-book now includes the gory information of Python's new subprocess module and breaking information approximately Microsoft's new IronPython undertaking. Our "Nutshell" layout suits Python completely through providing the highlights of an important modules and features in its typical library, which conceal over ninety% of your useful programming wishes. This booklet includes:
- A fast moving instructional at the syntax of the Python language
- An rationalization of object-oriented programming in Python
- Coverage of iterators, turbines, exceptions, modules, programs, strings, and usual expressions
- A fast reference for
Quick recommendations to advanced numerical difficulties in physics, utilized arithmetic, and technology with SciPy
About This Book
- Use varied modules and exercises from the SciPy library speedy and efficiently
- Create vectors and matrices and easy methods to practice regular mathematical operations among them or at the respective array in a sensible form
- A step by step educational that might aid clients resolve research-based difficulties from a number of parts of technological know-how utilizing Scipy
Who This ebook Is For
This ebook objectives programmers and scientists who've easy Python wisdom and who're willing to accomplish medical and numerical computations with SciPy.
What you are going to Learn
- Get to understand some great benefits of utilizing the combo of Python, NumPy, SciPy, and matplotlib as a programming atmosphere for medical purposes
- Create and control an item array utilized by SciPy
- Use SciPy with huge matrices to compute eigenvalues and eigenvectors
- Focus on building, acquisition, caliber development, compression, and have extraction of signals
- Make use of SciPy to assemble, manage, study, and interpret info, with examples taken from information and clustering
- Acquire the ability of making a triangulation of issues, convex hulls, Voronoi diagrams, and lots of related applications
- Find out ways in which SciPy can be utilized with different languages reminiscent of C/C++, Fortran, and MATLAB/Octave
SciPy is an open resource Python library used to accomplish medical computing. The SciPy (Scientific Python) package deal extends the performance of NumPy with a considerable number of valuable algorithms.
The ebook begins with a quick description of the SciPy libraries, through a bankruptcy that could be a enjoyable and fast moving primer on array construction, manipulation, and problem-solving. additionally, you will easy methods to use SciPy in linear algebra, including subject matters corresponding to computation of eigenvalues and eigenvectors. in addition, the publication relies on fascinating topics similar to definition and manipulation of services, computation of derivatives, integration, interpolation, and regression. additionally, you will the way to use SciPy in sign processing and the way functions of SciPy can be utilized to assemble, manage, research, and interpret data.
By the tip of the ebook, you might have quick, exact, and easy-to-code suggestions for numerical and clinical computing applications.
By Noah Gift
Python is a perfect language for fixing difficulties, in particular in Linux and Unix networks. With this pragmatic publication, directors can overview quite a few initiatives that regularly take place within the administration of those structures, and learn the way Python offers a extra effective and no more painful method to deal with them.
each one bankruptcy in Python for Unix and Linux method Administration offers a specific administrative factor, akin to concurrency or info backup, and provides Python ideas via hands-on examples. when you end this booklet, it is easy to advance your individual set of command-line utilities with Python to take on quite a lot of difficulties. realize how this language may also help you:
- Read textual content records and extract information
- Run initiatives simultaneously utilizing the threading and forking options
- Get details from one procedure to a different utilizing community facilities
- Create clickable GUIs to address huge and complicated utilities
- Monitor huge clusters of machines through interacting with SNMP programmatically
- Master the IPython Interactive Python shell to switch or increase Bash, Korn, or Z-Shell
- Integrate Cloud Computing into your infrastructure, and discover ways to write a Google App Engine Application
- Solve specified information backup demanding situations with personalized scripts
- Interact with MySQL, SQLite, Oracle, Postgres, Django ORM, and SQLAlchemy
With this e-book, you are going to the right way to package deal and install your Python purposes and libraries, and write code that runs both good on a number of Unix systems. you are going to additionally know about numerous Python-related applied sciences that might make your existence a lot easier.
Harness the facility of Python to investigate info and create insightful predictive models
About This Book
- Learn information mining in useful phrases, utilizing a wide selection of libraries and techniques
- Learn how to define, manage, and examine info utilizing Python
- Step-by-step directions on growing real-world purposes of information mining techniques
Who This ebook Is For
If you're a programmer who desires to start with information mining, then this booklet is for you.
What you are going to Learn
- Apply facts mining innovations to real-world problems
- Predict the end result of activities suits in keeping with prior results
- Determine the writer of a record in accordance with their writing style
- Use APIs to obtain datasets from social media and different on-line services
- Find and extract solid good points from tricky datasets
- Create versions that resolve real-world problems
- Design and enhance facts mining purposes utilizing numerous datasets
- Set up reproducible experiments and generate strong results
- Recommend video clips, on-line celebrities, and information articles according to own preferences
- Compute on giant information, together with real-time information from the Internet
The subsequent step within the info age is to achieve insights from the deluge of information coming our means. info mining presents a manner of discovering this perception, and Python is likely one of the most well liked languages for info mining, supplying either strength and suppleness in analysis.
This publication teaches you to layout and improve information mining purposes utilizing quite a few datasets, beginning with simple type and affinity research. subsequent, we flow directly to extra advanced facts forms together with textual content, photos, and graphs. In each bankruptcy, we create types that resolve real-world problems.
There is a wealthy and sundry set of libraries to be had in Python for info mining. This e-book covers a multitude, together with the IPython pc, pandas, scikit-learn and NLTK.
Each bankruptcy of this publication introduces you to new algorithms and methods. via the tip of the ebook, you'll achieve a wide perception into utilizing Python for facts mining, with an outstanding wisdom and knowing of the algorithms and implementations.
By Gennadiy Zlobin
Written for intermediate Python programmers, this wonderful instructional might help streamline your paintings by utilizing layout styles. you are going to examine via instance and transparent causes to extend your information and accelerate your output.
- Explore the Model-View-Controller trend and tips on how to construct a URL shortening service
- All layout styles use a real-world instance that may be transformed and utilized on your software
- No pointless idea! The publication involves in basic terms the basic wisdom it's worthwhile to know
Design trend is a widely known method of remedy a few particular difficulties which every software program developer comes throughout in the course of his paintings. layout styles trap higher-level constructs that often look in courses. in case you understand how to enforce the layout development in a single language, regularly it is possible for you to to port and use it in one other object-oriented programming language.
The selection of implementation language impacts using layout styles. clearly, a few languages are extra acceptable for sure initiatives than others. each one language has its personal set of strengths and weaknesses. during this booklet, we introduce a few of the larger identified layout styles in Python. you'll research while and the way to exploit the layout styles, and enforce a real-world instance that you could run and consider by way of yourself.
You will commence with probably the most renowned software program structure styles that is the version- View-Controller trend. then you definitely will circulation directly to know about creational layout styles that are Singleton and manufacturing facility, and structural styles that are Facade and Proxy. ultimately, the booklet additionally explains 3 behavioural styles that are Command, Observer, and Template.
What you'll examine from this book
- Create various implementations of an identical set of rules with the least modifications
- Implement the publisher-subscriber pattern
- Create an item whilst just one example of it truly is needed
- Create an easy interface utilizing the Facade layout pattern
- Increase the performance whereas leaving the interface unchanged
This publication takes a tutorial-based and hassle-free method of masking Python layout styles. Its concise presentation signifies that in a quick house of time, you'll get a superb creation to varied layout patterns.
Who this booklet is written for
If you're an intermediate point Python consumer, this booklet is for you. past wisdom of Python programming is vital. a few wisdom of UML is usually required to appreciate the UML diagrams that are used to explain a few layout patterns.
By Steven Lott
- Implement universal practical programming layout styles and strategies in Python
- Learn the best way to make a choice from significant and practical methods in line with expressiveness, readability, and performance
- Apply sensible Python to universal Exploratory facts research (EDA) programming problems
Python’s easy-to-learn and extensible skills supply a few practical programming positive factors that you can deliver into your workflow, specially within the realm of knowledge science.
If you’re a Python developer who desires to detect tips to take the facility of practical programming and produce it into your individual courses then this publication is vital for you, no matter if you recognize subsequent to not anything in regards to the paradigm. beginning with a normal evaluation of sensible recommendations you’ll discover universal practical gains resembling first class and higher-order services, natural services and extra, and the way those are complete in Python to provide you the center foundations you’ll construct upon. After that, you’ll realize universal useful optimizations for Python to assist your apps achieve even greater speeds. you will additionally discover information coaching innovations and information exploration intensive, besides studying how the Python typical library matches the useful programming version. eventually, to replenish your trip into the realm of functionality Python you’ll at examine the PyMonad venture and a few higher examples to place every thing into perspective.
With useful Python Programming through your aspect you’ll comprehend the middle ideas of functionality Python, its impression at the programming workflow, and the way to enforce it in Python, supplying you with the power to take your functions to an excellent better level.
What you are going to learn
- Use Python's generator services and generator expressions to paintings with collections in a non-strict (or lazy) manner
- Utilize Python library modules together with itertools, functools, multiprocessing, and concurrent.futures for effective useful programs
- Use Python strings with object-oriented suffix notation and prefix notation
- Avoid stateful sessions by means of using households of tuples
- Design and enforce decorators to create composite functions
- Use features like max(), min(), map(), filter(), and sorted()
- Write complicated higher-order functions
About the Author
Steven F. Lott has been programming because the 70s, whilst pcs have been huge, pricey, and infrequent. As a freelance software program developer and architect, he has labored on enormous quantities of initiatives, from very small to huge. he is been utilizing Python to resolve enterprise difficulties for over 10 years.
Table of Contents
- Introducing practical Programming
- Introducing a few useful Features
- Functions, Iterators, and Generators
- Working with Collections
- Higher-order Functions
- Recursions and Reductions
- Additional Tuple Techniques
- The Itertools Module
- More Itertools Techniques
- The Functools Module
- Decorator layout Techniques
- The Multiprocessing and Threading Modules
- Conditional Expressions and the Operator Module
- The Pymonad Library
- A sensible method of internet Services
- Optimizations and Improvements
By Mark Lutz
Google and YouTube use Python simply because it truly is hugely adaptable, effortless to take care of, and allows speedy improvement. that will write top of the range, effective code that is simply built-in with different languages and instruments, this hands-on booklet may also help you be effective with Python speedy -- even if you are new to programming or simply new to Python. it is an easy-to-follow self-paced educational, in keeping with writer and Python professional Mark Lutz's well known education path.
Each bankruptcy features a stand-alone lesson on a key portion of the language, and contains a particular attempt Your wisdom part with useful routines and quizzes, so that you can perform new talents and try out your realizing as you move. you will find plenty of annotated examples and illustrations that can assist you start with Python 3.0.
Learn approximately Python's significant integrated item forms, equivalent to numbers, lists, and dictionariesCreate and approach items utilizing Python statements, and study Python's normal syntax modelStructure and reuse code utilizing features, Python's uncomplicated procedural toolLearn approximately Python modules: programs of statements, capabilities, and different instruments, equipped into higher componentsDiscover Python's object-oriented programming software for structuring codeLearn concerning the exception-handling version, and improvement instruments for writing greater programsExplore complicated Python instruments together with decorators, descriptors, metaclasses, and Unicode processing
You Will Learn Python!
Zed Shaw has perfected the world's top process for studying Python. persist with it and you'll succeed-just just like the millions of newcomers Zed has taught up to now! You convey the self-discipline, dedication, and patience; the writer offers every little thing else.
In Learn Python the not easy manner, 3rd Edition, you will study Python through operating via fifty two brilliantly crafted routines. learn them. variety their code precisely. (No copying and pasting!) repair your errors. Watch the courses run. As you do, you are going to learn the way software program works; what stable courses appear like; easy methods to learn, write, and view code; and the way to discover and attach your blunders utilizing tips expert programmers use. most significantly, you are going to study the subsequent, that you have to commence writing first-class Python software program of your own:
Installing a whole Python environment
Organizing and writing code
Strings and text
Interacting with users
Working with files
Looping and logic
Data buildings utilizing lists and dictionaries
Inheritance and composition
Modules, sessions, and objects
Basic video game development
Basic net development
It'll be challenging in the beginning. yet quickly, you are going to simply get it-and that may consider nice!
This instructional will gift you for each minute you place into it. quickly, you are going to comprehend one of many world's strongest, well known programming languages. you can be a Python programmer.
Watch Zed, too! The accompanying DVD comprises five+ hours of passionate, robust instructing: a whole Python video course!
Python, a robust and versatile basic objective programming language is growing to be in acceptance as extra humans develop into attracted to programming utilizing open resource languages. "Python Power!: the excellent consultant" indicates readers the right way to use Python to run websites, write GUI interfaces, keep an eye on number-crunching code, strategy huge XML information units, construct attempt suites for C or Java code, and masses extra. Technical themes are defined sincerely and concisely and end-of-chapter tasks motivate the reader to software all alone. a close desk of contents and a whole, well-organized index make this booklet an excellent reference software. All code utilized in the booklet can be on hand for obtain at the spouse site.