Python Power
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Python Power
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Author : Matthew A. Telles
language : en
Publisher: Course Technology PTR
Release Date : 2008
Python Power written by Matthew A. Telles and has been published by Course Technology PTR this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
A guide to the Python computer language covers such topics as data types, control flow, functions and modules, exception handling, the GUI library, and input and output functionality.
The Power Of Python
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Author : Rachel Keranen
language : en
Publisher: Cavendish Square Publishing, LLC
Release Date : 2017-12-15
The Power Of Python written by Rachel Keranen and has been published by Cavendish Square Publishing, LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-15 with Juvenile Nonfiction categories.
Though Python takes its name from the comical British television series Monty Python's Flying Circus, the coding language is seriously powerful. Guido van Rossum, the programmer who wrote Python, was motivated to create a coding language that is intuitive and easy to understand. This book traces how van Rossum achieved his goal and how both novice programmers and experts use Python to create apps like Instagram and Pinterest and to achieve other objectives.
Extending Power Bi With Python And R
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Author : Luca Zavarella
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-11-26
Extending Power Bi With Python And R written by Luca Zavarella and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-26 with Computers categories.
Perform more advanced analysis and manipulation of your data beyond what Power BI can do to unlock valuable insights using Python and R Key FeaturesGet the most out of Python and R with Power BI by implementing non-trivial codeLeverage the toolset of Python and R chunks to inject scripts into your Power BI dashboardsImplement new techniques for ingesting, enriching, and visualizing data with Python and R in Power BIBook Description Python and R allow you to extend Power BI capabilities to simplify ingestion and transformation activities, enhance dashboards, and highlight insights. With this book, you'll be able to make your artifacts far more interesting and rich in insights using analytical languages. You'll start by learning how to configure your Power BI environment to use your Python and R scripts. The book then explores data ingestion and data transformation extensions, and advances to focus on data augmentation and data visualization. You'll understand how to import data from external sources and transform them using complex algorithms. The book helps you implement personal data de-identification methods such as pseudonymization, anonymization, and masking in Power BI. You'll be able to call external APIs to enrich your data much more quickly using Python programming and R programming. Later, you'll learn advanced Python and R techniques to perform in-depth analysis and extract valuable information using statistics and machine learning. You'll also understand the main statistical features of datasets by plotting multiple visual graphs in the process of creating a machine learning model. By the end of this book, you'll be able to enrich your Power BI data models and visualizations using complex algorithms in Python and R. What you will learnDiscover best practices for using Python and R in Power BI productsUse Python and R to perform complex data manipulations in Power BIApply data anonymization and data pseudonymization in Power BILog data and load large datasets in Power BI using Python and REnrich your Power BI dashboards using external APIs and machine learning modelsExtract insights from your data using linear optimization and other algorithmsHandle outliers and missing values for multivariate and time-series dataCreate any visualization, as complex as you want, using R scriptsWho this book is for This book is for business analysts, business intelligence professionals, and data scientists who already use Microsoft Power BI and want to add more value to their analysis using Python and R. Working knowledge of Power BI is required to make the most of this book. Basic knowledge of Python and R will also be helpful.
Python Based Power System Automation In Pss E
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Author : MUHAMMAD USMAN KHALID
language : en
Publisher: Lulu.com
Release Date : 2014-08-13
Python Based Power System Automation In Pss E written by MUHAMMAD USMAN KHALID and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-13 with Automation categories.
Systems involving minimal contributions from person are more desired these days. This trend leads to introduction of automation in the processes. One such system is power system, Engineers have to design power system considering all the load and generation variations, all types of faults and outages possible that can damage power system and are harm to its reliability. All this work seemed tedious, but with the advent of time several great power system simulators were introduced that made all these analyses easy and fast. One is Power System Simulator for Engineers (PSS/E), which helps in system studies and gives responses quite real. But yet running different analyses for the purpose of routine checkof large power systems can take many hours and it needs expertise in the software as well. So there is a need of much more simpler method to perform all these analysis. Luckily, PSS/E provides one such method. It involves developing some module/routine for every analysis through Python or Fortran.
Python In 24 Hours
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Author : StoryBuddiesPlay
language : en
Publisher: StoryBuddiesPlay
Release Date : 2024-05-03
Python In 24 Hours written by StoryBuddiesPlay and has been published by StoryBuddiesPlay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-03 with Computers categories.
Unleash the Power of Python: A Comprehensive Guide for Beginners This comprehensive guide is your gateway to mastering Python programming, a versatile and in-demand language that empowers you to build dynamic applications, analyze data, and automate tasks. Whether you're a complete beginner or seeking to solidify your foundational knowledge, this roadmap equips you with the essential skills to excel in the Python world. Master Python Step-by-Step: Dive into the core building blocks: Grasp the fundamental syntax, data types, variables, operators, and control flow statements that form the backbone of Python programming. Conquer Data Structures: Explore the power of lists, tuples, and dictionaries, essential tools for organizing and manipulating collections of data efficiently. Harness the Potential of Functions: Learn to define, call, and utilize functions to structure your code effectively, promoting modularity and reusability. Interact with Users Seamlessly: Master user input and output techniques to create interactive programs that gather user information and present results clearly. Make Decisions with Conditional Statements: Understand the power of if, else, and elif statements to control the flow of your programs based on specific conditions. This guide is more than just a collection of lessons. It's a structured learning journey that: Provides clear explanations and practical examples to solidify your understanding. Offers step-by-step exercises to reinforce your learning and build confidence. Equips you with the fundamental skills to tackle more complex Python projects. By embarking on this journey, you'll gain the ability to: Create Python scripts for various applications, from data analysis to web scraping. Automate repetitive tasks, saving time and effort. Build interactive programs that engage users. Lay a strong foundation for further exploration of advanced Python concepts. Ready to unlock the potential of Python? Start your journey today!
Simulating Nonlinear Circuits With Python Power Electronics
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Author : Shivkumar V. Iyer
language : en
Publisher: Springer
Release Date : 2018-01-25
Simulating Nonlinear Circuits With Python Power Electronics written by Shivkumar V. Iyer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-25 with Technology & Engineering categories.
This book provides readers with an in-depth discussion of circuit simulation, combining basic electrical engineering circuit theory with Python programming. It fills an information gap by describing the development of Python Power Electronics, an open-source software for simulating circuits, and demonstrating its use in a sample circuit. Unlike typical books on circuit theory that describe how circuits can be solved mathematically, followed by examples of simulating circuits using specific, commercial software, this book has a different approach and focus. The author begins by describing every aspect of the open-source software, in the context of non-linear power electronic circuits, as a foundation for aspiring or practicing engineers to embark on further development of open source software for different purposes. By demonstrating explicitly the operation of the software through algorithms, this book brings together the fields of electrical engineering and software technology.
Modeling And Python Simulation Of Magnetics For Power Electronics Applications
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Author : Shivkumar V. Iyer
language : en
Publisher: Springer Nature
Release Date : 2022-06-20
Modeling And Python Simulation Of Magnetics For Power Electronics Applications written by Shivkumar V. Iyer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-20 with Technology & Engineering categories.
This book describes the role of magnetism in electrical engineering, starting from the most basic laws of physics, converted into simulation models such that electrical engineering students can learn by example and practice. The author demystifies a topic that many electrical engineers take for granted, providing readers the tools to be able to understand how any magnetic component works. He describes magnetic components like inductors and transformers in simple understandable language. Mathematical equations related to the basic laws of physics are described in detail along with the physical significance of the equations. Every application is supported by a simulation. All simulations are performed using free and open source software based on Python making the material in this book universally accessible.
Functional Python Programming
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Author : Steven F. Lott
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-04-13
Functional Python Programming written by Steven F. Lott and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-13 with Computers categories.
Create succinct and expressive implementations with functional programming in Python Key Features Learn how to choose between imperative and functional approaches based on expressiveness, clarity, and performance Get familiar with complex concepts such as monads, concurrency, and immutability Apply functional Python to common Exploratory Data Analysis (EDA) programming problems Book Description If you’re a Python developer who wants to discover how to take the power of functional programming (FP) and bring it into your own programs, then this book is essential for you, even if you know next to nothing about the paradigm. Starting with a general overview of functional concepts, you’ll explore common functional features such as first-class and higher-order functions, pure functions, and more. You’ll see how these are accomplished in Python 3.6 to give you the core foundations you’ll build upon. After that, you’ll discover common functional optimizations for Python to help your apps reach even higher speeds. You’ll learn FP concepts such as lazy evaluation using Python’s generator functions and expressions. Moving forward, you’ll learn to design and implement decorators to create composite functions. You'll also explore data preparation techniques and data exploration in depth, and see how the Python standard library fits the functional programming model. Finally, to top off your journey into the world of functional Python, you’ll at look at the PyMonad project and some larger examples to put everything into perspective. What you will learn Use Python's generator functions and generator expressions to work with collections in a non-strict (or lazy) manner Utilize Python library modules including itertools, functools, multiprocessing, and concurrent features to ensure efficient functional programs Use Python strings with object-oriented suffix notation and prefix notation Avoid stateful classes with families of tuples Design and implement decorators to create composite functions Use functions such as max(), min(), map(), filter(), and sorted() Write higher-order functions Who this book is for This book is for Python developers who would like to perform Functional programming with Python. Python Programming knowledge is assumed.
Mathematical Programming For Power Systems Operation
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Author : Alejandro Garcés
language : en
Publisher: John Wiley & Sons
Release Date : 2021-12-01
Mathematical Programming For Power Systems Operation written by Alejandro Garcés and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-01 with Science categories.
Explore the theoretical foundations and real-world power system applications of convex programming In Mathematical Programming for Power System Operation with Applications in Python, Professor Alejandro Garces delivers a comprehensive overview of power system operations models with a focus on convex optimization models and their implementation in Python. Divided into two parts, the book begins with a theoretical analysis of convex optimization models before moving on to related applications in power systems operations. The author eschews concepts of topology and functional analysis found in more mathematically oriented books in favor of a more natural approach. Using this perspective, he presents recent applications of convex optimization in power system operations problems. Mathematical Programming for Power System Operation with Applications in Python uses Python and CVXPY as tools to solve power system optimization problems and includes models that can be solved with the presented framework. The book also includes: A thorough introduction to power system operation, including economic and environmental dispatch, optimal power flow, and hosting capacity Comprehensive explorations of the mathematical background of power system operation, including quadratic forms and norms and the basic theory of optimization Practical discussions of convex functions and convex sets, including affine and linear spaces, politopes, balls, and ellipsoids In-depth examinations of convex optimization, including global optimums, and first and second order conditions Perfect for undergraduate students with some knowledge in power systems analysis, generation, or distribution, Mathematical Programming for Power System Operation with Applications in Python is also an ideal resource for graduate students and engineers practicing in the area of power system optimization.
Python For Excel
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Author : Felix Zumstein
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-03-04
Python For Excel written by Felix Zumstein and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-04 with Business & Economics categories.
While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started. Use Python without extensive programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Use Python as a single tool to replace VBA, Power Query, and Power Pivot