#PyQt Tutorial for Beginners | Explore Tumblr posts and blogs

sujalphython · 6 months ago

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Learn about For best python institute in Rohini.

Python: A Versatile Programming Language

Python is one of the most popular and versatile programming languages in the world today. From web development to data analysis, machine learning, and automation, Python has gained a reputation for being user-friendly and powerful. In this blog, we'll explore why Python has become a go-to language for developers, data scientists, and even non-programmers looking to automate tasks or build applications.

Why Python?

Exploring

1. Simple and Readable Syntax

One of the key reasons Python has become so widely adopted is its clean and readable syntax. Unlike many other programming languages that can be dense and hard to understand, Python’s syntax is straightforward and closely resembles the English language. This makes it an excellent language for beginners to learn, as it allows them to focus on solving problems rather than battling complex syntax rules.

For example, compare the process of printing "Hello, World!" in Python with other languages:

Python:pythonCopy codeprint("Hello, World!")

Java:javaCopy codepublic class HelloWorld { public static void main(String[] args) { System.out.println("Hello, World!"); } }

As you can see, Python's one-liner code is far simpler than Java’s verbose structure, which includes class definitions and other boilerplate code.

2. Extensive Libraries and Frameworks

Python boasts a large collection of libraries and frameworks that simplify development. Libraries are pre-written code that provide reusable functions, and frameworks are larger structures that offer a more complete solution to common development problems.

Some of the most popular Python libraries and frameworks include:

NumPy and Pandas for data manipulation and analysis

Matplotlib and Seaborn for data visualization

Flask and Django for web development

TensorFlow and PyTorch for machine learning

Requests for making HTTP requests

These tools have been designed to integrate easily with Python, saving developers time by providing solutions to common problems without the need to reinvent the wheel.

3. Cross-Platform Compatibility

Python is cross-platform, which means that Python programs can run on Windows, macOS, and Linux without modification. This makes Python an ideal choice for developers working in diverse environments or aiming to create software that runs on multiple platforms.

Additionally, Python can be used to build both desktop applications (using frameworks like Tkinter or PyQt) and web applications (using Flask, Django, or FastAPI), making it a truly versatile language.

4. Community Support

Another reason for Python's success is its active and vibrant community. Whether you’re a beginner or an experienced developer, there is a vast wealth of tutorials, documentation, forums, and support networks available to help you when you’re stuck. Popular platforms like Stack Overflow, GitHub, and Reddit host countless Python-related discussions and resources.

The Python community also regularly contributes to the language's growth and development. With regular updates and improvements, the Python Software Foundation (PSF) ensures that Python evolves to meet the needs of modern developers.

5. Ideal for Automation and Scripting

Python’s simplicity also makes it an ideal choice for automating repetitive tasks and writing scripts. Many developers use Python to automate simple tasks like renaming files, scraping data from websites, or even managing system operations.

For example, you can use Python’s os module to automate file management tasks, or you can write a Python script to scrape data from a website using the popular BeautifulSoup library.

Python in the Real World

Python is used by a wide variety of organizations and industries. Some of the biggest names in tech, including Google, Facebook, and Netflix, rely on Python for various aspects of their software development. It’s also extensively used in fields like finance, healthcare, and scientific research, with researchers using Python for data analysis, simulations, and machine learning models.

Even in the world of Artificial Intelligence (AI), Python dominates. Libraries like TensorFlow, Keras, and PyTorch have made it easier than ever for developers to create sophisticated AI models and deep learning systems.

Conclusion

In conclusion, Python’s simplicity, versatility, and large ecosystem make it an excellent choice for both beginners and experienced developers alike. Its wide array of libraries, frameworks, and cross-platform capabilities ensure that Python will continue to be a dominant force in the programming world for many years to come. Whether you’re interested in web development, data science, or automation, learning Python is a valuable skill that can open doors to numerous career opportunities.

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mitcenter · 1 year ago

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What is Python Used for? Understanding its Benefits

Among the many programming languages accessible, Python stands out as a versatile and effective tool. Loved by developers, data scientists, educators, and hobbyists alike, Python has become one of the most popular programming languages in the world. But what is Python used for, and what are its benefits? Let's delve into the myriad applications and advantages of Python.

Understanding Python's Versatility

Python's versatility is one of its defining features. It's a high-level, interpreted language that emphasizes readability and simplicity, making it accessible for beginners while remaining robust enough for advanced users. Its versatility shines through in various domains:

Web Development: Python offers numerous frameworks like Django and Flask, which simplify web development tasks. These frameworks provide tools for handling everything from routing and authentication to interacting with databases, enabling developers to create dynamic and scalable web applications efficiently.

Data Science and Machine Learning: Python has been the preferred language for data science and machine learning projects in recent years. For data processing, analysis, visualization, and the building of machine learning models, libraries such as NumPy, Pandas, Matplotlib, and scikit-learn offer powerful tools.

Scripting and Automation: Python's concise syntax and extensive standard library make it ideal for scripting and automation tasks. From simple scripts to automate repetitive tasks to complex automation systems, Python's versatility makes it well-suited for a wide range of automation needs.

Scientific Computing: Python's capabilities extend to scientific computing applications. Libraries like SciPy and SymPy provide functionalities for scientific computations, mathematical modeling, and symbolic mathematics, making Python a favorite among scientists and researchers.

Game Development: While not as prominent as some other languages in the game development realm, Python, with libraries like Pygame, offers a platform for creating games and interactive applications. Its ease of use and rapid development capabilities make it attractive for game prototyping and smaller-scale projects.

Desktop GUI Applications: With libraries like Tkinter, PyQt, and Kivy, Python can be used to develop desktop GUI applications. These libraries provide tools for creating intuitive user interfaces, making Python a viable option for developing desktop software.

Benefits of Python

Python's popularity is not just a result of its versatility; it also offers numerous benefits that contribute to its widespread adoption:

Simplicity and Readability: Python's syntax is designed to be simple and readable, making it easy to learn and understand, even for those with little programming experience. This simplicity reduces development time and facilitates collaboration among team members.

Large and Active Community: Python boasts a vast and active community of developers, educators, and enthusiasts who contribute to its growth and development. This community provides a wealth of resources, including documentation, tutorials, libraries, and forums, making it easier for users to find support and solutions to their problems.

Rich Ecosystem of Libraries: Python's extensive standard library and rich ecosystem of third-party libraries provide solutions for virtually any programming task. Whether you're working on web development, data science, machine learning, or any other domain, chances are there's a library available to streamline your workflow and enhance your productivity.

Cross-Platform Compatibility: Python is a cross-platform language, meaning that programs developed in it can execute without change on a variety of operating systems. This cross-platform compatibility simplifies the deployment process and ensures consistency across different environments.

Scalability and Performance: While Python may not be as fast as some lower-level languages like C or C++, its performance is often sufficient for most applications. Additionally, Python's scalability allows developers to build systems that can handle increased workload and user traffic without significant performance degradation.

Open Source and Free: Python is open source and freely available, meaning anyone can use, modify, and distribute it without cost. This accessibility lowers the barrier to entry for aspiring developers and encourages collaboration and innovation within the community.

Conclusion

In conclusion, Python's versatility, simplicity, and rich ecosystem of libraries make it a powerhouse in the world of programming. From web development and data science to automation and scientific computing, Python finds applications in diverse domains, catering to the needs of developers across industries. Its benefits, including simplicity, community support, and cross-platform compatibility, further solidify its position as a preferred choice for programmers worldwide. Whether you're a seasoned developer or just starting your coding journey, Python offers a robust and rewarding programming experience.

#What is Python Used for

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iamcodegeek · 5 years ago

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PyQt Tutorial for Beginners: Python GUI Designer ☞ https://morioh.com/p/7a49c44112c6 #Python #PyQt #GUI #Designer #Morioh

#python #python tutorial #python language #python full course #python course #learn python #learn python programming #python tutorial for beginners

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atomicangelcreation · 4 years ago

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Download Python Tools For Visual Studio Mac

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Python Tools For Visual Studio Mac

Download Python Tools For Visual Studio Mac Download

Download Python Tools For Visual Studio Mac Install

Python is a popular programming language that is reliable, flexible, easy to learn, free to use on all operating systems, and supported by both a strong developer community and many free libraries. Python supports all manners of development, including web applications, web services, desktop apps, scripting, and scientific computing, and is used by many universities, scientists, casual developers, and professional developers alike. You can learn more about the language on python.org and Python for Beginners.

Python support is presently available only on Visual Studio for Windows; on Mac and Linux, Python support is available through Visual Studio Code. Download and run the latest Visual Studio installer for Windows (Python support is present in release 15.2 and later). Nov 11, 2020 5) Visual Studio Code. Visual Studio Code (VS Code) is an open-source environment developed by Microsoft. It is one of the best Python IDE for Windows that can be used for Python development. Visual Studio Code is based on Electron which is a framework to deploy Node JS applications for the computer running on the Blink browser engine. Macos 10.14 macos 10.15 macos 10.13 xamarin editor debugger project solution xaml fixed in: visual studio 2019 for mac version 8.0 performance crash android ios visual studio ide Setup fixed in: visual studio 2019 for mac version 8.1 fixed in: visual studio 2019 for mac version 8.3 fixed in: visual studio 2019 for mac version 8.2 macos 10.16. Oct 08, 2018 Python Tools for Visual Studio Mac migrated from uservoice Python uservoice votes 230 uservoice supporters 230 visual studio for mac Feedback Bot reported Oct 08, 2018 at 07:37 PM.

Visual Studio is a powerful Python IDE on Windows. Visual Studio provides open-source support for the Python language through the Python Development and Data Science workloads (Visual Studio 2017 and later) and the free Python Tools for Visual Studio extension (Visual Studio 2015 and earlier).

Python is not presently supported in Visual Studio for Mac, but is available on Mac and Linux through Visual Studio Code (see questions and answers).

To get started:

Follow the installation instructions to set up the Python workload.

Familiarize yourself with the Python capabilities of Visual Studio through the sections in this article.

Go through one or more of the Quickstarts to create a project. If you're unsure, start with Create a web app with Flask.

Go through one or more of the Quickstarts to create a project. If you're unsure, start with Quickstart: Open and run Python code in a folder or Create a web app with Flask.

Follow the Work with Python in Visual Studio tutorial for a full end-to-end experience.

Note

Visual Studio supports Python version 2.7, as well as version 3.5 through 3.7. While it is possible to use Visual Studio to edit code written in other versions of Python, those versions are not officially supported and features such as IntelliSense and debugging might not work. Python version 3.8 support is still under development, specific details about support can be seen in this tracking issue on GitHub.

Support for multiple interpreters

Visual Studio's Python Environments window (shown below in a wide, expanded view) gives you a single place to manage all of your global Python environments, conda environments, and virtual environments. Visual Studio automatically detects installations of Python in standard locations, and allows you to configure custom installations. With each environment, you can easily manage packages, open an interactive window for that environment, and access environment folders.

Use the Open interactive window command to run Python interactively within the context of Visual Studio. Use the Open in PowerShell command to open a separate command window in the folder of the selected environment. From that command window you can run any python script.

For more information:

Rich editing, IntelliSense, and code comprehension

Visual Studio provides a first-class Python editor, including syntax coloring, auto-complete across all your code and libraries, code formatting, signature help, refactoring, linting, and type hints. Visual Studio also provides unique features like class view, Go to Definition, Find All References, and code snippets. Direct integration with the Interactive window helps you quickly develop Python code that's already saved in a file.

For more information:

Docs: Edit Python code

Docs: Format code

Docs: Refactor code

Docs: Use a linter

General Visual Studio feature docs: Features of the code editor

Interactive window

For every Python environment known to Visual Studio, you can easily open the same interactive (REPL) environment for a Python interpreter directly within Visual Studio, rather than using a separate command prompt. You can easily switch between environments as well. (To open a separate command prompt, select your desired environment in the Python Environments window, then select the Open in PowerShell command as explained earlier under Support for multiple interpreters.)

Visual Studio also provides tight integration between the Python code editor and the Interactive window. The Ctrl+Enter keyboard shortcut conveniently sends the current line of code (or code block) in the editor to the Interactive window, then moves to the next line (or block). Ctrl+Enter lets you easily step through code without having to run the debugger. You can also send selected code to the Interactive window with the same keystroke, and easily paste code from the Interactive window into the editor. Together, these capabilities allow you to work out details for a segment of code in the Interactive window and easily save the results in a file in the editor.

Visual Studio also supports IPython/Jupyter in the REPL, including inline plots, .NET, and Windows Presentation Foundation (WPF).

For more information:

Project system, and project and item templates

Note

Visual Studio 2019 supports opening a folder containing Python code and running that code without creating Visual Studio project and solution files. For more information, see Quickstart: Open and run Python code in a folder. There are, however, benefits to using a project file, as explained in this section. Microsoft wireless multimedia keyboard 1.1 driver windows 10.

Visual Studio helps you manage the complexity of a project as it grows over time. A Visual Studio project is much more than a folder structure: it includes an understanding of how different files are used and how they relate to each other. Visual Studio helps you distinguish app code, test code, web pages, JavaScript, build scripts, and so on, which then enable file-appropriate features. A Visual Studio solution, moreover, helps you manage multiple related projects, such as a Python project and a C++ extension project.

Project and item templates automate the process of setting up different types of projects and files, saving you valuable time and relieving you from managing intricate and error-prone details. Visual Studio provides templates for web, Azure, data science, console, and other types of projects, along with templates for files like Python classes, unit tests, Azure web configuration, HTML, and even Django apps.

For more information:

Docs: Manage Python projects

Docs: Item templates reference

Docs: Python project templates

Docs: Work with C++ and Python

General Visual Studio feature docs: Project and item templates

General Visual Studio feature docs: Solutions and projects in Visual Studio

Full-featured debugging

One of Visual Studio's strengths is its powerful debugger. For Python in particular, Visual Studio includes Python/C++ mixed-mode debugging, remote debugging on Linux, debugging within the Interactive window, and debugging Python unit tests.

In Visual Studio 2019, you can run and debug code without having a Visual Studio project file. See Quickstart: Open and run Python code in a folder for an example.

For more information:

Docs: Debug Python

Docs: Python/C++ mixed-mode debugging

Docs: Remote debugging on Linux

General Visual Studio feature docs: Feature tour of the Visual Studio Debugger

Profiling tools with comprehensive reporting

Profiling explores how time is being spent within your application. Visual Studio supports profiling with CPython-based interpreters and includes the ability to compare performance between different profiling runs.

For more information:

Docs: Python profiling tools

General Visual Studio feature docs: Profiling Feature Tour. (Not all Visual Studio profiling features are available for Python).

Unit testing tools

Discover, run, and manage tests in Visual Studio Test Explorer, and easily debug unit tests.

For more information:

Docs: Unit testing tools for Python

General Visual Studio feature docs: Unit test your code.

Azure SDK for Python

The Azure libraries for Python simplify consuming Azure services from Windows, Mac OS X, and Linux apps. You can use them to create and manage Azure resources, as well as to connect to Azure services.

For more information, see Azure SDK for Python and Azure libraries for Python.

Questions and answers

Q. Is Python support available with Visual Studio for Mac?

A. Not at this time, but you can up vote the request on Developer Community. The Visual Studio for Mac documentation identifies the current types of development that it does support. In the meantime, Visual Studio Code on Windows, Mac, and Linux works well with Python through available extensions.

Q. What can I use to build UI with Python?

A. The main offering in this area is the Qt Project, with bindings for Python known as PySide (the official binding) (also see PySide downloads) and PyQt. At present, Python support in Visual Studio does not include any specific tools for UI development.

Q. Can a Python project produce a stand-alone executable?

A. Python is generally an interpreted language, with which code is run on demand in a suitable Python-capable environment such as Visual Studio and web servers. Visual Studio itself does not at present provide the means to create a stand-alone executable, which essentially means a program with an embedded Python interpreter. However, the Python community supplied different means to create executables as described on StackOverflow. CPython also supports being embedded within a native application, as described on the blog post, Using CPython's embeddable zip file.

Feature support

Python features can be installed in the following editions of Visual Studio as described in the installation guide:

Visual Studio 2017 (all editions)

Visual Studio 2015 (all editions)

Visual Studio 2013 Community Edition

Visual Studio 2013 Express for Web, Update 2 or higher

Visual Studio 2013 Express for Desktop, Update 2 or higher

Visual Studio 2013 (Pro edition or higher)

Visual Studio 2012 (Pro edition or higher)

Visual Studio 2010 SP1 (Pro edition or higher; .NET 4.5 required)

Visual Studio 2015 and earlier are available at visualstudio.microsoft.com/vs/older-downloads/.

Important

Python Tools For Visual Studio Mac

Features are fully supported and maintained for only the latest version of Visual Studio. Features are available in older versions but are not actively maintained.

Python support2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+Manage multiple interpreters✔✔✔✔✔✔✔✔Auto-detect popular interpreters✔✔✔✔✔✔✔✔Add custom interpreters✔✔✔✔✔✔✔✔Virtual Environments✔✔✔✔✔✔✔✔Pip/Easy Install✔✔✔✔✔✔✔✔

Project system2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+New project from existing code✔✔✔✔✔✔✔✔Show all files✔✔✔✔✔✔✔✔Source control✔✔✔✔✔✔✔✔Git integration✔✔✔✔✔✔✔1✗

Editing2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+Syntax highlighting✔✔✔✔✔✔✔✔Auto-complete✔✔✔✔✔✔✔✔Signature help✔✔✔✔✔✔✔✔Quick info✔✔✔✔✔✔✔✔Object browser/class view✔✔✔✔✔✔✔✔Navigation bar✔✔✔✔✔✔✔✔Go to Definition✔✔✔✔✔✔✔✔Navigate to✔✔✔✔✔✔✔✔Find All References✔✔✔✔✔✔✔✔Auto indentation✔✔✔✔✔✔✔✔Code formatting✔✔✔✔✔✔✔✔Refactor - rename✔✔✔✔✔✔✔✔Refactor - extract method✔✔✔✔✔✔✔✔Refactor - add/remove import✔✔✔✔✔✔✔✔PyLint✔✔✔✔✔✔✔✔

Interactive window2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+Interactive window✔✔✔✔✔✔✔✔IPython with inline graphs✔✔✔✔✔✔✔✔

Desktop2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+Console/Windows application✔✔✔✔✔✔✔✔IronPython WPF (with XAML designer)✔✔✔✔✔✔✔✔IronPython Windows Forms✔✔✔✔✔✔✔✔

Web2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+Django web project✔✔✔✗✔✔✔✔Bottle web project✔✔✔✗✔✔✔✔Flask web project✔✔✔✗✔✔✔✔Generic web project✔✔✔✗✔✔✔✔

Azure2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+Deploy to web site✔✔✔✗✔✔✔✔2Deploy to web role✔✔✔✗✔4✔4✔3✗Deploy to worker role???✗✔4✔4✔3✗Run in Azure emulator???✗✔4✔4✔3✗Remote debugging✔✔✔✗✔6✔8✔8✗Attach Server Explorer✔✔✔✗✔7✔7✗✗

Django templates2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+Debugging✔✔✔✗✔✔✔✔Auto-complete✔✔✔✗✔5✔5✔✔Auto-complete for CSS and JavaScript✔✔✔✗✔5✔5✗✗

Debugging2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+Debugging✔✔✔✔✔✔✔✔Debugging without a project✔✔✔✔✔✔✔✔Debugging - attach to editing✔✔✔✔✗✔✔✔Mixed-mode debugging✔✔✔✔✔✔✔✗Remote debugging (Windows, Mac OS X, Linux)✔✔✔✔✗✔✔✔Debug Interactive window✔✔✔✔✔✔✔✔

Profiling2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+Profiling✔✔✔✗✗✔✔✔

Download Python Tools For Visual Studio Mac Download

Download Python Tools For Visual Studio Mac Install

Test2017+20152013 Comm2013 Desktop2013 Web2013 Pro+2012 Pro+2010 SP1 Pro+Test explorer✔✔✔✔✔✔✔✗Run test✔✔✔✔✔✔✔✗Debug test✔✔✔✔✔✔✔✗

Git support for Visual Studio 2012 is available in the Visual Studio Tools for Git extension, available on the Visual Studio Marketplace.

Deployment to Azure Web Site requires Azure SDK for .NET 2.1 - Visual Studio 2010 SP1. Later versions don't support Visual Studio 2010.

Support for Azure Web Role and Worker Role requires Azure SDK for .NET 2.3 - VS 2012 or later.

Support for Azure Web Role and Worker Role requires Azure SDK for .NET 2.3 - VS 2013 or later.

Django template editor in Visual Studio 2013 has some known issues that are resolved by installing Update 2.

Requires Windows 8 or later. Visual Studio 2013 Express for Web doesn't have the Attach to Process dialog, but Azure Web Site remote debugging is still possible using the Attach Debugger (Python) command in Server Explorer. Remote debugging requires Azure SDK for .NET 2.3 - Visual Studio 2013 or later.

Requires Windows 8 or later. Attach Debugger (Python) command in Server Explorer requires Azure SDK for .NET 2.3 - Visual Studio 2013 or later.

Requires Windows 8 or later.

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iamprogrammerz · 5 years ago

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PyQt Tutorial for Beginners: Python GUI Designer ☞ https://morioh.com/p/7a49c44112c6 #Python #PyQt #GUI #Designer #Morioh

#python #python tutorial #python language #python full course #python course #learn python #learn python programming #python tutorial for beginners

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iamaprogrammerz · 5 years ago

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PyQt Tutorial for Beginners: Python GUI Designer ☞ https://morioh.com/p/7a49c44112c6 #Python #PyQt #GUI #Designer #Morioh

#python #python tutorial #python language #python full course #python course #learn python #learn python programming #python tutorial for beginners

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iamacoder · 5 years ago

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PyQt Tutorial for Beginners: Python GUI Designer ☞ https://morioh.com/p/7a49c44112c6 #Python #PyQt #GUI #Designer #Morioh

#python #python tutorial #python language #python full course #python course #learn python #learn python programming #python tutorial for beginners

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thinkcodez · 5 years ago

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PyQt Tutorial for Beginners: Python GUI Designer ☞ https://morioh.com/p/7a49c44112c6 #Python #PyQt #GUI #Designer #Morioh

#python #python tutorial #python language #python full course #python course #learn python #learn python programming #python tutorial for beginners

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deepak-blog · 6 years ago

Link

It’s a wrapper for QT framework developed by river bank computing ltd. It is a set of both v2 and v3 of the QT application framework. It has one of the most popular and powerful GUI (graphical user interface) library. QT developed itself as a part of the QT project.

#Introduction_to_PYQT #Required_Platform #PYQT4_Components

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udemy-gift-coupon-blog · 6 years ago

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Build Library Management System | Python & PyQt5 ##Coursera ##UdemyOnlineTraining #Build #library #Management #PyQt5 #Python #System Build Library Management System | Python & PyQt5 In this course you'll learn how to build a Library System with PyQt5 and Python! PyQt5 is one of the best frameworks for developing desktop applications that looks awesome In this course I'll be developing on a my Mac machine, but you should be able to follow along if you're on a Windows or Linux. I'll show you how to download and install Python and PyQt5 You'll be able to build Desktop Applications and simple business Applications when you're finished with this course. we will build a library system with: adding new books adding books categories adding books Author adding books Publisher adding day to day operations for rent or retrieving books Generate Excel reports from our data Adding new users with user login and editing user data WHAT DO YOU NEED TO TAKE THIS COURSE? You don't need any tools or special skills to take this course. I'll show you how to download and install everything you'll need for free (PyQt, Python, and the Pycharm). DO I NEED TO KNOW PYTHON TO TAKE THIS COURSE? simple python basics! it's a good idea to learn Python if you want to use PyQt5. But you don't have to know advanced Python to take this course. I'll walk you through everything you need to know. Building desktop applications with PyQt5 is very easy , and the course will make it very fun What you’ll learn Installing Python Installing PyQt5 Installing MySQL Server Design nice desktop applications with QtDesigner Styling desktop applications with CSS Design a database using mysql workbench Connecting to mysql database with python inserting , selecting , updating , deleting database data from our app Adding project themes and change between them easly Adding new users Updating user data Login at startup Are there any course requirements or prerequisites? simple python skills is needed Who this course is for: This course is aimed towards absolute beginners who want to learn how to build desktop applications with PyQt5 and Python 👉 Activate Udemy Coupon 👈 Free Tutorials Udemy Review Real Discount Udemy Free Courses Udemy Coupon Udemy Francais Coupon Udemy gratuit Coursera and Edx ELearningFree Course Free Online Training Udemy Udemy Free Coupons Udemy Free Discount Coupons Udemy Online Course Udemy Online Training 100% FREE Udemy Discount Coupons https://www.couponudemy.com/blog/build-library-management-system-python-pyqt5/

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paradisetechsoftsolutions · 5 years ago

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Computer Vision Libraries & Edge detection tutorial for beginners

It is a set of numerical data. Computer vision libraries mainly focus on the images and the video data or the filters that you use. It simplifies and manipulates the whole data of the image. The images and filters of Snapchat and Instagram comply with this function as well. They both are major computer vision applications.

Furthermore, the computer vision libraries often used as the correction in the pictures and other robotics. It is quite distinct from image processing because image processing is the major process of creating images from the extinct ideas or background. In this vision there comes its one of the well-known exaggerated term Open CV. The other computer vision libraries and the computer vision applications mentioned in the below section.

First, Install python in your system. Below we explained to you how one can install these packages in Linux Operating System.

For installing python, open your terminal and enter the following command:

sudo apt install python3-pip python3-dev

Open CV

This term persists for the Open Source Computer Vision library and invented by Intel in 1999. Basically, it's written in C/C++ but commonly getting used in Python programming language for the computer vision libraries as well. Open CV- Python is the python API of open-CV.

It was built to provide the main structure to the computer vision libraries, programs, and applications. It supports many of the computer languages or terms naming, Python, Java, C/C++ and so on that come up under Open CV. It manages accurately with such computer visions. Open CV is an open-source initiative all are welcome to make the contributions to this library. New modules are added to this Open CV- python library.

New modules are added to this Open CV- python library. The way in which the Open CV works is that developers will check your pull requests, they give you the valuable feedback and it will be merged into the Open CV library. Here the truth is that learning the Open CV is quite challenging, whether you're interested in learning the process of how to apply the face recognition into the videos. Building a deep learning pipeline for the image classification found as interesting, but isn't hard as it used to be.

The way in which the Open CV works is that developers will check your pull requests, they give you the valuable feedback and it will be merged into the Open CV library. Here the truth is that learning the Open CV is quite challenging, whether you're interested in learning the process of how to apply the face recognition into the videos. Building a deep learning pipeline for the image classification found as interesting, but isn't hard as it used to be.

How to Install?

pip install OpenCV-python

Matplotlib

Matplotlib is a way that plotting the beautiful and attractive diagram and graphs. In other words, it's a plotting library in the Python programming language. Matplotlib uses an attractive and embedded plot in the Python programming language. It is an amazing visualization in Python programming language for 2D plots arrays. It takes care of all your data, visualization, and secures everything in the Python programming language.

It is used along with NumPy to render an environment that is an effective open-source alternative for MatLab. And you know what, it can also be used with graphics toolkits like PyQt and wxPython. Matplotlib holds a module named pyplot which usually makes the things easy for plotting graphs, styles in the Python programming language.

If we talk about the process of learning the Matplotlib it can be difficult sometimes. Matplotlib comes with a myriad range of plots in this Python Programming Language. That probably makes the process quite difficult for the new apprentices or the learners. But it's interesting to learn once you get the whole criteria you will do that with the ease.

How to Install?

pip install matplotlib

NumPy

NumPy is an essential module for python programming language. NumPy enriches the programming language Python and the other languages as well. The functions related to the mathematical performs much faster than the others.

It provides a high-level and multidimensional array object or the container of generic data. NumPy subsumes many related arrays and that can be created in many ways. It is the fundamental aspect of the scientific-computing in Python.

NumPy serves a significant nucleus or the core characteristic of an engineer’s toolkit for neural networks and associated machine learning programs. The arrays in NumPy can be created with various data types such as tuples, and lists. Such arrays can be used as the square brackets and can be initialized by using the nested python lists.

NumPy is wholly based on the two earlier python modules dealing with such NumPy distinct arrays. Besides such arrays, the module supplies a comprehensive library of high-level mathematical functions to operate on these patterns and arrays.

How to Install?

pip install NumPy

Pandas

Pandas is an open-source that subsumes in the python library with BSD- licensed. It provides high performance and easy-to-use data structures. Pandas is the popular python package for the data science and allows you to perform the data manipulation in python programming languages. Basically, it was built on the top of the NumPy.

Do you know why pandas can be used? Because Pandas provides useful, powerful and easy-to-use data structures, as well as the means to quickly perform operations on these structures. But if you have any experience coding in Python programming language, then you should stay away from learning about pandas until you do. As we have learned that it is popular in python but a bit hard to learn on the other side. It is the major library written in the Python Programming language.

How to Install?

pip install pandas

TensorFlow

'TensorFlow' the high-level library is mainly being used with machine learning right now, as it actually stands to have used in other fields since really it is just a massive array manipulation library. It is the basic and high-level term in the Python programming language.

It was developed by the Google team for the internal usage of the wide internet. It has a common and convenient tool 'TensorMode' which provides the functions to debug and optimize several programs.

How to Install?

pip install TensorFlow

In conclusion to that, we at ParadiseTechsoft mentioned many libraries introduced in the Python programming language. Each and every considered library has to be used and written in this wide programming language. We understood that each library in Python is not made only for developers, it can be used by the beginners as well. For the beginners, it scopes at high extent. Try out and learn this language with the before-mentioned coding procedures and the major commands of installing such libraries.

References https://medium.com/@cath.h858/an-introduction-to-opencv-ccc25fd6f310

https://www.opencv-srf.com/p/introduction.html

https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_setup/py_intro/py_intro.html#intro

https://dzone.com/articles/introduction-to-computer-vision-with-opencv-and-py

https://www.objc.io/issues/21-camera-and-photos/face-recognition-with-opencv/

#edge detection tutorial for beginners #Computer Vision Libraries #how to install tensorflow

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rstforum-blog · 5 years ago

Text

What are the Best Resources to Take Python Training in Pune?

“Python training in Pune: A dream epicenter”

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