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Mastering Pycharm


Mastering Pycharm
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Mastering Pycharm


Mastering Pycharm
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Author : Quazi Nafiul Islam
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-10-23

Mastering Pycharm written by Quazi Nafiul Islam 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 2015-10-23 with Computers categories.


Use PyCharm with fluid efficiency to write idiomatic python code About This Book Understand how PyCharm works and how you can leverage its strength to develop applications quickly Master PyCharm's editor to get a fast workflow Full of examples and illustrations that focus on the practical aspects of using PyCharm Who This Book Is For If you know PyCharm but want to understand it better and leverage its more powerful but less obvious tool set, this is the book for you. Serving as a launch pad for those who want to master PyCharm and completely harness its best features, it would be helpful if you were familiar with some of Python's most prominent tools such as virtualenv and Python's popular docstring formats such as reStructuredText and EpyType. What You Will Learn Understand the internal workings of the IntelliJ Platform Leverage PyCharm's powerful search tools, and learn which ones are the best for you and your workflow Customize PyCharm's enhanced Python interpreter and its inbuilt terminal Develop web applications quickly and easily with different frameworks such as Flask and Django Understand how code completion works in PyCharm for Python and JavaScript In Detail PyCharm is addictive, with powerful and configurable code completion, superb editing tools, top-notch support, diverse plugins, and a vibrant ecosystem to boot. Learning how PyCharm works and maximising the synergy of its powerful tools will help you to rapidly develop applications. From leveraging the power of the editor to understanding PyCharm's internals, this book will give you a comprehensive view of PyCharm and allow you to make your own choices about which workflow and tools are best for you. You will start by getting comfortable with PyCharm and making it look exactly like you want. You can customize the tools and taskbars to suit individual developers' coding styles. You also learn how to assign keyboard shortcuts. You will master debugging by inserting breakpoints, collecting runtime data, and debugging from the console. You will understand how PyCharm works underneath and how plugins such as Codemap, Vim, Bitbucket, Assets compressor, markdown, bash file, shortcut translator, and .gitignore leverage the power of the IntelliJ platform. You will become comfortable using the VCS interface in PyCharm and see the benefits of using it for some simple tasks as well as some more complex tasks such as partial commits using changelists. You will take an in-depth look at the various tools in PyCharm, improving your workflow drastically. Finally, you will deploy powerful PyCharm tools for Django, Flask, GAE, and Pyramid Development, becoming well acquainted with PyCharm's toolset for web development with popular platforms. Packed with insider tricks, this book will help you boost productivity with PyCharm. Style and approach An easy-to-follow guide with plenty of examples and screenshots. Each topic starts off with the goal of enhancing or changing a part of PyCharm to make it suit your needs.



Mastering Pycharm


Mastering Pycharm
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Author : Naiful Islam
language : en
Publisher:
Release Date : 2015-10-30

Mastering Pycharm written by Naiful Islam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-30 with categories.




Mastering Saltstack


Mastering Saltstack
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Author : Joseph Hall
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-11-25

Mastering Saltstack written by Joseph Hall 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 2016-11-25 with Computers categories.


Take charge of SaltStack to automate and configure your enterprise-grade environments About This Book Automate tasks effectively and take charge of your infrastructure Effectively scale Salt to manage thousands of machines and tackle everyday problems Explore Salt's inner workings and advance your knowledge of it Who This Book Is For This book is ideal for IT professionals and ops engineers who already manage groups of servers, but would like to expand their knowledge and gain expertise with SaltStack. This book explains the advanced features and concepts of Salt. A basic knowledge of Salt is required in order to get to grips with advanced Salt features. What You Will Learn Automate tasks effectively, so that your infrastructure can run itself Start building more complex concepts Master user-level internals Build scaling strategies Explore monitoring strategies Learn how to troubleshoot Salt and its subcomponents Explore best practices for Salt In Detail SaltStack is a powerful configuration management and automation suite designed to manage servers and tens of thousands of nodes. This book showcases Salt as a very powerful automation framework. We will review the fundamental concepts to get you in the right frame of mind, and then explore Salt in much greater depth. You will explore Salt SSH as a powerful tool and take Salt Cloud to the next level. Next, you'll master using Salt services with ease in your infrastructure. You will discover methods and strategies to scale your infrastructure properly. You will also learn how to use Salt as a powerful monitoring tool. By the end of this book, you will have learned troubleshooting tips and best practices to make the entire process of using Salt pain-free and easy. Style and approach This book follows a step-by-step conversational tone. Topics are covered in detail through examples and a user-friendly approach.



Mastering Concurrency In Python


Mastering Concurrency In Python
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Author : Quan Nguyen
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-11-27

Mastering Concurrency In Python written by Quan Nguyen 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 2018-11-27 with Computers categories.


Immerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problems Key FeaturesExplore the core syntaxes, language features and modern patterns of concurrency in PythonUnderstand how to use concurrency to keep data consistent and applications responsiveUtilize application scaffolding to design highly-scalable programs Book Description Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming. Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world concurrency problems through examples. By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language What you will learnExplore the concepts of concurrency in programmingExplore the core syntax and features that enable concurrency in PythonUnderstand the correct way to implement concurrencyAbstract methods to keep the data consistent in your programAnalyze problems commonly faced in concurrent programmingUse application scaffolding to design highly-scalable programsWho this book is for This book is for developers who wish to build high-performance applications and learn about signle-core, multicore programming or distributed concurrency. Some experience with Python programming language is assumed.



Intelligent Data Engineering And Automated Learning Ideal 2020


Intelligent Data Engineering And Automated Learning Ideal 2020
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Author : Cesar Analide
language : en
Publisher: Springer Nature
Release Date : 2020-10-29

Intelligent Data Engineering And Automated Learning Ideal 2020 written by Cesar Analide and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-29 with Computers categories.


This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic.



Mastering Efficient Software Design Practices Master Scalable And High Performance Software Development Using Agile Devops Ci Cd Git Docker And Kubernetes


Mastering Efficient Software Design Practices Master Scalable And High Performance Software Development Using Agile Devops Ci Cd Git Docker And Kubernetes
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Author : Paulo Cardoso
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-04-29

Mastering Efficient Software Design Practices Master Scalable And High Performance Software Development Using Agile Devops Ci Cd Git Docker And Kubernetes written by Paulo Cardoso and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Computers categories.


Build Secure, Scalable, and Efficient Software with Modern Best Practices. Key Features● Master Agile, DevOps, CI/CD, and scalable software architectures● Ensure code quality, security, and high-performance computing● Apply real-world best practices with hands-on case studies Book DescriptionIn today’s fast-paced digital era, efficient software design is the key to building secure, scalable, and high-performing applications. Mastering Efficient Software Design Practices serves as a comprehensive guide for developers, engineers, and architects seeking to enhance their technical expertise and streamline software development workflows. This book covers essential principles, from foundational coding methodologies and version control with Git to Agile, DevOps, and Test-Driven Development (TDD). Readers will learn how to implement Continuous Integration and Continuous Delivery (CI/CD), improve code quality, enforce security best practices, and optimize performance. Real-world examples, case studies, and best practices ensure that theoretical concepts translate into practical skills. By the end of this book, readers will have a solid grasp of modern software development methodologies and the confidence to build robust, maintainable, and future-proof software solutions. Whether you're an aspiring developer or an experienced engineer, this book equips you with the tools and insights needed to thrive in today’s evolving tech landscape. Stay ahead of the curve—master these essential practices before you get left behind! What you will learn● Apply Agile, DevOps, and CI/CD to streamline software development.● Design secure, scalable, and maintainable software architectures.● Use Git, Docker, and Kubernetes for seamless team collaboration.● Write high-quality, testable code with automated testing strategies.● Optimize software performance and ensure scalability under load.● Leverage user-centered design and analytics for better UX decisions.



Artificial Intelligence For Industries Of The Future


Artificial Intelligence For Industries Of The Future
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Author : Mayank Kejriwal
language : en
Publisher: Springer Nature
Release Date : 2022-11-25

Artificial Intelligence For Industries Of The Future written by Mayank Kejriwal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-25 with Business & Economics categories.


This book provides a brief synthesis of the known implementations, opportunities and challenges at the intersection of artificial intelligence (AI) and modern industry beyond the big-four companies that traditionally consume and produce such advanced technology: Facebook, Amazon, Microsoft and Google. With this information, the author also makes some reasonable claims about the role of AI in future industries. The book draws on a broad range of material, including reports from consulting firms, published surveys, academic papers and books, and expert knowledge available to the author due to numerous collaborations in academia and industry on AI. It is rigorous rather than speculative, drawing on known findings and expert summaries, where available. This provides industry leaders and other interested stakeholders with an accessible review of contemporary perspectives on AI’s forward-looking role in industry as well as a clarifying guide on the major issues that companies are likely to face as they commence on this exciting path. Examines the likely role of AI in industries of the future, both known and unknown Presents use-cases of AI currently being explored across Big Tech, multi-national corporations and start-ups Explores the regulation of AI and its potential impacts on the workforce



Iot Enabled Energy Efficiency Assessment Of Renewable Energy Systems And Micro Grids In Smart Cities


Iot Enabled Energy Efficiency Assessment Of Renewable Energy Systems And Micro Grids In Smart Cities
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Author : Mustapha Hatti
language : en
Publisher: Springer Nature
Release Date : 2024-05-27

Iot Enabled Energy Efficiency Assessment Of Renewable Energy Systems And Micro Grids In Smart Cities written by Mustapha Hatti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-27 with Computers categories.


This book embarks on a transformative exploration of sustainable urban development, integrating Internet of Things (IoT) technologies in energy efficiency assessments of renewable energy systems and microgrids within smart cities. This work transcends conventional approaches, seamlessly blending theoretical insights with practical applications, and prioritizing real-time, IoT-enabled assessments for optimal energy utilization. Evolving the understanding of renewable energy systems and microgrids, the book distinguishes itself through its hands-on application of IoT technologies. It not only delves into theoretical aspects but also equips readers with actionable insights, guiding the implementation of IoT for informed decision-making in the dynamic landscape of smart city environments. From IoT sensor deployment strategies to data analytics techniques and practical considerations, the book's expansive scope offers a comprehensive roadmap for creating resilient and efficient energy ecosystems. Tailored for professionals, researchers, and policymakers in energy management, urban planning, and IoT technology, this resource speaks to a diverse audience. Whether the reader is an engineer aiming to optimize microgrid performance or a policymaker driving urban sustainability, the book provides indispensable insights. It serves as a compass, informing city planners on energy-efficient infrastructure, guiding researchers in developing impactful IoT applications, and assisting policymakers in formulating forward-thinking, eco-friendly regulations. In a world embracing smart technologies, this book emerges as an essential guide, steering stakeholders toward a future where the seamless integration of energy efficiency and IoT defines the landscape of truly smart and sustainable cities.



Scipy Recipes


Scipy Recipes
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Author : V Kishore Ayyadevara
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-12-20

Scipy Recipes written by V Kishore Ayyadevara 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 2017-12-20 with Computers categories.


Tackle the most sophisticated problems associated with scientific computing and data manipulation using SciPy Key Features Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib Effective recipes on advanced scientific computations, statistics, data wrangling, data visualization, and more A must-have book if you're looking to solve your data-related problems using SciPy, on-the-go Book Description With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease. This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide. What you will learn Get a solid foundation in scientific computing using Python Master common tasks related to SciPy and associated libraries such as NumPy, pandas, and matplotlib Perform mathematical operations such as linear algebra and work with the statistical and probability functions in SciPy Master advanced computing such as Discrete Fourier Transform and K-means with the SciPy Stack Implement data wrangling tasks efficiently using pandas Visualize your data through various graphs and charts using matplotlib Who this book is for Python developers, aspiring data scientists, and analysts who want to get started with scientific computing using Python will find this book an indispensable resource. If you want to learn how to manipulate and visualize your data using the SciPy Stack, this book will also help you. A basic understanding of Python programming is all you need to get started.



Grow With Python Programming From Basics To Advanced


Grow With Python Programming From Basics To Advanced
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Author : Mark Fliks
language : en
Publisher: John Nunez
Release Date : 2024-06-15

Grow With Python Programming From Basics To Advanced written by Mark Fliks and has been published by John Nunez this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-15 with Computers categories.


"Grow with Python Programming: From Basics to Advanced" by Mark Fliks is an extensive guide designed to take readers from the fundamentals of Python programming to more advanced topics. This book offers a comprehensive learning experience, combining clear explanations with hands-on examples to ensure a deep understanding of Python. Key Features: Structured Learning Path: The book is divided into three main sections: Basics, Intermediate, and Advanced, each building upon the previous one to ensure a smooth learning curve. Hands-On Approach: Each chapter includes practical examples and exercises, allowing readers to apply what they've learned immediately. Comprehensive Coverage: From basic syntax and data structures to advanced topics like decorators, generators, and concurrency, this book covers a wide range of Python programming aspects. User-Friendly: Clear, easy-to-follow instructions and a focus on readability make this book accessible to beginners while still providing valuable insights for experienced programmers. Contents Overview: Introduction to Python: History and features of Python Setting up the Python environment Writing and running your first Python script Basic Python Syntax: Variables and data types Basic operators Input and output functions Control Flow: Conditional statements Loops (for, while, nested) Break and continue statements Functions: Defining and calling functions Function arguments and return values Built-in functions Data Structures: Lists, tuples, dictionaries, sets Methods and operations for each data structure Intermediate Topics: Advanced data structures String manipulation Modules and packages File handling Error handling Object-Oriented Programming (OOP): Classes and objects Inheritance, polymorphism, encapsulation Advanced Topics: Decorators and generators Concurrency (multithreading, multiprocessing, asyncio) Working with databases Web development with Flask and Django Web scraping Data Science and Machine Learning: Introduction to data science Simple machine learning projects Why Choose This Book? Comprehensive Guide: It serves as an all-in-one resource for learning Python, from the basics to advanced topics. Practical Examples: Real-world examples and projects help solidify your understanding and provide a practical context. Clear Explanations: The author's straightforward writing style makes complex concepts easier to grasp. Learning Outcomes: By the end of this book, you will: Understand the core concepts of Python programming. Be able to write, debug, and optimize Python code. Have experience with advanced Python features and libraries. Be prepared to tackle real-world programming challenges and projects. Whether you are a beginner looking to start your programming journey or an experienced developer aiming to enhance your skills, "Grow with Python Programming: From Basics to Advanced" is an invaluable resource that will help you achieve your goals.