Mastering PyCharm

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Publisher : Packt Publishing Ltd
ISBN 13 : 1783551321
Total Pages : 232 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Mastering PyCharm by : Quazi Nafiul Islam

Download or read book Mastering PyCharm written by Quazi Nafiul Islam and published by Packt Publishing Ltd. This book was released on 2015-10-23 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Hands-On Application Development with PyCharm

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1789342864
Total Pages : 475 pages
Book Rating : 4.64/5 ( download)

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Book Synopsis Hands-On Application Development with PyCharm by : Quan Nguyen

Download or read book Hands-On Application Development with PyCharm written by Quan Nguyen and published by Packt Publishing Ltd. This book was released on 2019-09-27 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: A definitive guide to PyCharm to help you build business-oriented Python applications ranging from modern web development to data science Key FeaturesLearn basic to advanced PyCharm concepts to improve efficiency of your Python projectsWork through practical examples that focus on efficient application development with PyCharmExplore advanced features in PyCharm such as code automation, version control, and GUI debuggingBook Description JetBrain’s PyCharm is the most popular Integrated Development Environment (IDE) used by the Python community thanks to its numerous features that facilitate faster, more accurate, and more productive programming practices. However, the abundance of options and customizations can make PyCharm seem quite intimidating. Hands-on Application Development with PyCharm starts with PyCharm’s installation and configuration process, and systematically takes you through a number of its powerful features that can greatly improve your productivity. You’ll explore code automation, version control, graphical debugging/testing, management of virtual environments, and much more. Finally, you’ll delve into specific PyCharm features that support web development and data science, two of the fastest growing applications in Python programming. These include the integration of the Django framework as well as the extensive support for IPython and Jupyter Notebook. By the end of this PyCharm book, you will have gained extensive knowledge of the tool and be able to implement its features and make the most of its support for your projects. What you will learnExplore PyCharm functionalities and what makes it stand out from other Python IDEsSet up, configure, and customize your Python projects in PyCharmUnderstand how PyCharm integrates with Django for web developmentDiscover PyCharm's capabilities in database management and data visualizationPerform code automation, GUI testing, and version control in PyCharmIntegrate interactive Python tools such as Jupyter Notebooks for building virtual environmentsWho this book is for If you’re a beginner or an expert Python user looking to improve your productivity using one of the best Python IDEs, this book is for you. Basic knowledge of Python programming language is expected.

Effective PyCharm

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Author :
Publisher : Independently Published
ISBN 13 : 9781095212530
Total Pages : 221 pages
Book Rating : 4.32/5 ( download)

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Book Synopsis Effective PyCharm by : Michael Kennedy

Download or read book Effective PyCharm written by Michael Kennedy and published by Independently Published. This book was released on 2019-04-19 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hello and welcome to Effective PyCharm. In this book, we're going to look at all the different features of one of the very best environments for interacting and creating Python code, PyCharm. PyCharm is an IDE (integrated development environment) and this book will teach you how you can make the most of this super powerful editor.The first thing we are going to talk about is why do we want to use an IDE in the first place? What value does a relatively heavyweight application like PyCharm bring and why would we want to use it? There are many features that make PyCharm valuable. However, let's begin by talking about the various types of editors we can use and what the trade-offs are there.We're going to start by focusing on creating new projects and working with all the files in them. You'll see there's a bunch of configuration switcheswe can set to be more effective. Then we're going to jump right intowhat I would say is the star of the show--the editor.If you're writing code, you need an editor. You will be writing a lot of code. This includes typing new text and manipulating existing text. The editor has to be awesome and aid you in these tasks. We're going to focus on all the cool features that the PyCharm editor offers. We'll see that source control in particular, Git and Subversion are deeply integrated into PyCharm. There are all sorts of powerful things we can do beyond git, including actual GitHub integration. We are going to focus on source control and the features right inside the IDE.PyCharm is great at *refactoring*. Refactoring code is changing our code to restructure it in a different way, to use a slightly different algorithm, while not actually changing the behavior of the code. There are many powerful techniques in PyCharm that you can use to do this. Because it understands all of your files at once, it can safely refactor. It will even refactor doc strings and other items that could be overlooked without a deep understanding of code structures.There is powerful database tooling in PyCharm. You can interact with most databases including SQLite, MySQL, and Postgres. You can edit the data, edit the schemes, run queries and more. Because PyCharm has a deep understanding of your code, there is even integration between your database schema and the Python text editor. Note that PyCharm has a free version and a professional version. The database features are only available in the professional version.PyCharm is excellent at building web applications using libraries like Django, Pyramid, or Flask. It also has a full JavaScript editor and environment so you can use TypeScript or CoffeeScript. We'll look into both server-side and client-side features.PyCharm has a great visual debugger, and we are going to look at all the different features of it. You can use it to debug and understand your application. It has powerful breakpoint operations and data visualization that typically editors don't have.Profiling is a common task if you want to understand how your code is running. If your application is slow and you want it to go faster, you shouldn't guess where it is slow. PyCharm makes it easy to look at the code determine what it fast and slow, rather than relying on our intuition which may be flawed. PyCharm has some tremendous built-in visual types of tools for us to fundamentally understand the performance of our app.PyCharm has built-in test runners for pytest, unittest, and a number of Python testing frameworks. If you are doing any unit testing or integration testing, PyCharm will come to your aid. For example, one feature you can turn on is auto test execution. If you are changing certain parts of your code, PyCharm will automatically re-run the tests. There are a couple of additional tools that don't really land in any of the above categories. There is a chapter with the additional tools at the end.

Mastering Ansible

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Author :
Publisher : Ghada Atef
ISBN 13 :
Total Pages : 108 pages
Book Rating : 4./5 ( download)

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Book Synopsis Mastering Ansible by : Ghada Atef

Download or read book Mastering Ansible written by Ghada Atef and published by Ghada Atef. This book was released on 2024-03-01 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Ansible and Automate Your IT Infrastructure! Conquer IT Infrastructure Challenges with Ansible, the powerful automation tool for configuration management and deployment. This comprehensive guide equips you with the skills to: - Automate repetitive tasks and streamline your workflow (say goodbye to manual configurations!). - Ensure consistent configurations across your entire infrastructure (no more inconsistencies or errors!). - Deploy applications quickly and reliably (get those applications up and running faster!). Whether you're a system administrator, developer, or DevOps engineer, this book is your one-stop shop for mastering Ansible. Learn in-depth: - Installation & Configuration (get Ansible up and running smoothly) - Writing & Organizing Playbooks (define your infrastructure as code) - Ansible Modules, Plugins & Roles (leverage pre-built functionality for complex tasks) - Variables, Templates & Conditionals (make your playbooks dynamic and adaptable) - Dynamic Inventory Management (manage large and diverse IT environments) - Security & Troubleshooting (keep your automation secure and efficient) Master Every Step: - Step-by-step guidance through each Ansible topic (learn at your own pace). - Clear explanations and code examples (understand the concepts and see them in action). - Real-world scenarios for practical application (learn by doing!). - Best practices to optimize your automation (write efficient and maintainable playbooks). Take control of your IT infrastructure, become an Ansible expert, and boost your automation efficiency today! Keywords: Ansible, Configuration Management, IT Automation, Infrastructure Automation, DevOps, System Administration, Application Deployment

Mastering OpenCV 4 with Python

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Publisher : Packt Publishing Ltd
ISBN 13 : 1789349753
Total Pages : 517 pages
Book Rating : 4.57/5 ( download)

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Book Synopsis Mastering OpenCV 4 with Python by : Alberto Fernández Villán

Download or read book Mastering OpenCV 4 with Python written by Alberto Fernández Villán and published by Packt Publishing Ltd. This book was released on 2019-03-29 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. Key FeaturesDevelop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4) and PythonApply machine learning and deep learning techniques with TensorFlow and KerasDiscover the modern design patterns you should avoid when developing efficient computer vision applicationsBook Description OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. In this book, you'll get started by setting up OpenCV and delving into the key concepts of computer vision. You'll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You'll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you'll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book, you'll be able to develop advanced computer vision applications to meet your customers' demands. What you will learnHandle files and images, and explore various image processing techniquesExplore image transformations, including translation, resizing, and croppingGain insights into building histogramsBrush up on contour detection, filtering, and drawingWork with Augmented Reality to build marker-based and markerless applicationsWork with the main machine learning algorithms in OpenCVExplore the deep learning Python libraries and OpenCV deep learning capabilitiesCreate computer vision and deep learning web applicationsWho this book is for This book is designed for computer vision developers, engineers, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.

RHCE EX294 Mastery: Six Practice Exams for Exam Success (2024 Edition)

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Author :
Publisher : Ghada Atef
ISBN 13 :
Total Pages : 500 pages
Book Rating : 4./5 ( download)

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Book Synopsis RHCE EX294 Mastery: Six Practice Exams for Exam Success (2024 Edition) by : Ghada Atef

Download or read book RHCE EX294 Mastery: Six Practice Exams for Exam Success (2024 Edition) written by Ghada Atef and published by Ghada Atef. This book was released on 2024-06-25 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the RHCE EX294 Exam with Ghada Atef’s Comprehensive Guide Unlock your potential and ace the Red Hat Certified Engineer EX294 exam with “RHCE EX294 Mastery: Six Practice Exams for Exam Success (2024 Edition).” Authored by Ghada Atef, a seasoned RHCSA and RHCE professional, this book offers six meticulously crafted practice exams that cover all RHCE EX294 topics. Each exam is accompanied by detailed explanations, ensuring you understand the concepts and are fully prepared for the real test. Ideal for both beginners and experienced professionals, this guide is your ultimate resource for mastering Ansible automation and achieving RHCE certification.

Mastering Python for Networking and Security

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Publisher : Packt Publishing Ltd
ISBN 13 : 1788990706
Total Pages : 415 pages
Book Rating : 4.07/5 ( download)

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Book Synopsis Mastering Python for Networking and Security by : José Ortega

Download or read book Mastering Python for Networking and Security written by José Ortega and published by Packt Publishing Ltd. This book was released on 2018-09-28 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Python scripting to build a network and perform security operations Key Features Learn to handle cyber attacks with modern Python scripting Discover various Python libraries for building and securing your network Understand Python packages and libraries to secure your network infrastructure Book DescriptionIt’s becoming more and more apparent that security is a critical aspect of IT infrastructure. A data breach is a major security incident, usually carried out by just hacking a simple network line. Increasing your network’s security helps step up your defenses against cyber attacks. Meanwhile, Python is being used for increasingly advanced tasks, with the latest update introducing many new packages. This book focuses on leveraging these updated packages to build a secure network with the help of Python scripting. This book covers topics from building a network to the different procedures you need to follow to secure it. You’ll first be introduced to different packages and libraries, before moving on to different ways to build a network with the help of Python scripting. Later, you will learn how to check a network’s vulnerability using Python security scripting, and understand how to check vulnerabilities in your network. As you progress through the chapters, you will also learn how to achieve endpoint protection by leveraging Python packages along with writing forensic scripts. By the end of this book, you will be able to get the most out of the Python language to build secure and robust networks that are resilient to attacks.What you will learn Develop Python scripts for automating security and pentesting tasks Discover the Python standard library s main modules used for performing security-related tasks Automate analytical tasks and the extraction of information from servers Explore processes for detecting and exploiting vulnerabilities in servers Use network software for Python programming Perform server scripting and port scanning with Python Identify vulnerabilities in web applications with Python Use Python to extract metadata and forensics Who this book is for This book is ideal for network engineers, system administrators, or any security professional looking at tackling networking and security challenges. Programmers with some prior experience in Python will get the most out of this book. Some basic understanding of general programming structures and Python is required.

Mastering Python Data Visualization

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1783988339
Total Pages : 372 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Mastering Python Data Visualization by : Kirthi Raman

Download or read book Mastering Python Data Visualization written by Kirthi Raman and published by Packt Publishing Ltd. This book was released on 2015-10-27 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generate effective results in a variety of visually appealing charts using the plotting packages in Python About This Book Explore various tools and their strengths while building meaningful representations that can make it easier to understand data Packed with computational methods and algorithms in diverse fields of science Written in an easy-to-follow categorical style, this book discusses some niche techniques that will make your code easier to work with and reuse Who This Book Is For If you are a Python developer who performs data visualization and wants to develop existing knowledge about Python to build analytical results and produce some amazing visual display, then this book is for you. A basic knowledge level and understanding of Python libraries is assumed. What You Will Learn Gather, cleanse, access, and map data to a visual framework Recognize which visualization method is applicable and learn best practices for data visualization Get acquainted with reader-driven narratives and author-driven narratives and the principles of perception Understand why Python is an effective tool to be used for numerical computation much like MATLAB, and explore some interesting data structures that come with it Explore with various visualization choices how Python can be very useful in computation in the field of finance and statistics Get to know why Python is the second choice after Java, and is used frequently in the field of machine learning Compare Python with other visualization approaches using Julia and a JavaScript-based framework such as D3.js Discover how Python can be used in conjunction with NoSQL such as Hive to produce results efficiently in a distributed environment In Detail Python has a handful of open source libraries for numerical computations involving optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an important role in the research into diverse domains including economics, finance, biological sciences, social science, health care, and many more. The variety of tools and approaches available within Python community is stunning, and can bolster and enhance visual story experiences. This book offers practical guidance to help you on the journey to effective data visualization. Commencing with a chapter on the data framework, which explains the transformation of data into information and eventually knowledge, this book subsequently covers the complete visualization process using the most popular Python libraries with working examples. You will learn the usage of Numpy, Scipy, IPython, MatPlotLib, Pandas, Patsy, and Scikit-Learn with a focus on generating results that can be visualized in many different ways. Further chapters are aimed at not only showing advanced techniques such as interactive plotting; numerical, graphical linear, and non-linear regression; clustering and classification, but also in helping you understand the aesthetics and best practices of data visualization. The book concludes with interesting examples such as social networks, directed graph examples in real-life, data structures appropriate for these problems, and network analysis. By the end of this book, you will be able to effectively solve a broad set of data analysis problems. Style and approach The approach of this book is not step by step, but rather categorical. The categories are based on fields such as bioinformatics, statistical and machine learning, financial computation, and linear algebra. This approach is beneficial for the community in many different fields of work and also helps you learn how one approach can make sense across many fields

LPIC-1 101-500 V5 Exam Prep: Master Linux Admin with 6 Practice Tests

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Author :
Publisher : Ghada Atef
ISBN 13 :
Total Pages : 362 pages
Book Rating : 4./5 ( download)

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Book Synopsis LPIC-1 101-500 V5 Exam Prep: Master Linux Admin with 6 Practice Tests by : Ghada Atef

Download or read book LPIC-1 101-500 V5 Exam Prep: Master Linux Admin with 6 Practice Tests written by Ghada Atef and published by Ghada Atef. This book was released on 2024-03-01 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ace the LPIC-1 101-500 Exam on Your First Try! Master essential Linux administration skills and become a certified LPIC-1 professional with this comprehensive exam guide. Dominate the LPIC-1 101-500 V5 exam with: Six full-length practice tests, modeled after the real exam, to assess your mastery of key Linux concepts like user management, file systems, networking, and security. Detailed answer explanations that go beyond memorization, providing a deep understanding of the concepts behind each question. In-depth coverage of all exam objectives, ensuring you're prepared for every aspect of the LPIC-1 certification, including both conceptual knowledge and practical skills. Whether you're a seasoned IT professional looking to validate your Linux expertise or just beginning your Linux journey, this book is your ultimate resource for LPIC-1 exam success. Gain the confidence and knowledge to excel in Linux administration! Order your copy and start practicing today! Keywords: LPIC-1, Linux Administration, Certification Guide, Practice Exams, 101-500 V5, CompTIA (if applicable), Linux Essentials, IT Certification

Intelligent Data Engineering and Automated Learning – IDEAL 2020

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Author :
Publisher : Springer Nature
ISBN 13 : 3030623629
Total Pages : 424 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2020 by : Cesar Analide

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2020 written by Cesar Analide and published by Springer Nature. This book was released on 2020-10-29 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.