ورود به حساب

نام کاربری گذرواژه

گذرواژه را فراموش کردید؟ کلیک کنید

حساب کاربری ندارید؟ ساخت حساب

ساخت حساب کاربری

نام نام کاربری ایمیل شماره موبایل گذرواژه

برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید


09117307688
09117179751

در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید

دسترسی نامحدود

برای کاربرانی که ثبت نام کرده اند

ضمانت بازگشت وجه

درصورت عدم همخوانی توضیحات با کتاب

پشتیبانی

از ساعت 7 صبح تا 10 شب

دانلود کتاب Hands-On Application Development with PyCharm: Build applications like a pro with the ultimate python development tool

دانلود کتاب توسعه برنامه کاربردی با PyCharm: برنامه های کاربردی را مانند یک حرفه ای با ابزار نهایی توسعه پایتون بسازید

Hands-On Application Development with PyCharm: Build applications like a pro with the ultimate python development tool

مشخصات کتاب

Hands-On Application Development with PyCharm: Build applications like a pro with the ultimate python development tool

ویرایش: [2 ed.] 
نویسندگان: ,   
سری:  
ISBN (شابک) : 9781837632350 
ناشر: Packt 
سال نشر: 20232 
تعداد صفحات: 652 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 60 Mb 

قیمت کتاب (تومان) : 39,000



ثبت امتیاز به این کتاب

میانگین امتیاز به این کتاب :
       تعداد امتیاز دهندگان : 1


در صورت تبدیل فایل کتاب Hands-On Application Development with PyCharm: Build applications like a pro with the ultimate python development tool به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.

توجه داشته باشید کتاب توسعه برنامه کاربردی با PyCharm: برنامه های کاربردی را مانند یک حرفه ای با ابزار نهایی توسعه پایتون بسازید نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.


توضیحاتی درمورد کتاب به خارجی



فهرست مطالب

Cover
Title Page
Copyright and Credits
Contributors
Table of Contents
Preface
Part 1: The Basics of PyCharm
Introduction to PyCharm – the Most Popular IDE for Python
	Technical requirements
	The continued success of Python
	The philosophy of IDEs
	PyCharm as a Python IDE
		Intelligent coding assistance
		Streamlined programming tools
		Web development options
		Scientific computing support
		Understanding the Professional, Community, and Educational editions
	Summary
	Questions
	Further reading
Installing and Configuring PyCharm
	Technical requirements
	Downloading PyCharm the traditional way
	JetBrains Toolbox
		Installing Toolbox in Windows
		Installing Toolbox in macOS
		Installing PyCharm with Toolbox
		Launching PyCharm using Toolbox
		Installing an alternate version or uninstalling
		Updating PyCharm using Toolbox
	Launching and registering PyCharm
	Setting up PyCharm
		Appearance and behavior
	Working with projects
		Creating a new project
		Running a PyCharm project
	Cloning this book’s code from GitHub
		Setting up your GitHub account
		Cloning the book’s repository
	Summary
	Questions
	Further reading
Part 2: Improving Your Productivity
Customizing Interpreters and Virtual Environments
	Technical requirements
	Virtual environments
		Creating a virtual environment by hand
	Creating a project in PyCharm (revisited)
	Using an existing virtual environment
	Changing the interpreter for a project
	Activating virtualenv
		Using the integrated terminal
		Working with the REPL in the console window
	Working with third-party package libraries
		Adding third-party libraries in PyCharm
		Removing third-party libraries in PyCharm
		Using a requirements.txt file
		The new Python Packages window
	Professional features important to virtual environments
	Importing projects into PyCharm
		Importing a project cloned from a repository
		Dealing with invalid interpreters
	Working with run configurations
	PyCharm’s project files
	Summary
	Questions
	Further reading
Editing and Formatting with Ease in PyCharm
	Technical requirements
	Code analysis, inspection, and suggestion
		It duzunt assewm yew cna spel
		It understands your code
		Postfix code completion
		Hippie completion
		Indexing
		Power Save Mode
	Customizing code completion
		Match case
		Sorting suggestions alphabetically
		Machine learning assisted completions
		Showing the documentation popup in [...] ms
		Parameter info
	Code analysis and automated fixes
		Problem detection
		Syntax errors
		Duplicated code
		PEP-8 problems
		Dead code
		Method signature mismatches
		The road to good code is paved with PyCharm’s intentions
	Refactoring
		What is refactoring?
		Refactoring tools in PyCharm
	Documentation
		Working with docstrings
	Summary
	Questions
	Further reading
Version Control with Git in PyCharm
	Technical requirements
	Version control and Git essentials
	Setting up Git on your computer
		Setting your default username and email address
		Generating an SSH key
		Adding your SSH key to your GitHub account
	Setting up a repository manually
		Master versus main branches in GitHub
		Manually initializing the repository
		Working with remotes
		Adding a remote on GitHub
		The first push
		Making, committing, and pushing a change
	Working with Git in the IDE
	Version control in PyCharm
	Creating a new project from scratch using VCS tooling in PyCharm
		Initializing the local Git repository
		Adding a remote on GitHub
		Adding project files
		Adding a .gitignore file
		Pulling and pushing
		Branching and merging
		Creating a branch
		Switching between branches
		Merging
		Viewing the branch diagram
	Diffs and conflict resolution
		Viewing diffs
	Summary
	Questions
	Further reading
Seamless Testing, Debugging, and Profiling
	Technical requirements
	Testing, testing, 1-2-3
	Unit testing in Python using PyCharm
		Choosing a test library
		Adding a bank account class
		Testing the bank account class
		Running the tests
		Fixing the failing tests
		Testing the fault paths
		Generating tests automatically
		Generating the transaction test
	Working with PyCharm’s debugger
		Using the debugger to find and fix our test problem
	Checking test coverage
		Test coverage output
	Profiling performance
		Profiling in PyCharm
		Comparing performance versus the built-in sum() function
		Viewing the call graph
		Navigating using the performance profile
		Performance cProfile snapshots
	Summary
	Questions
	Further reading
Part 3: Web Development in PyCharm
Web Development with JavaScript, HTML, and CSS
	Technical requirements
	Introduction to HTML, JavaScript, and CSS
	Writing code with HTML
		Creating HTML in PyCharm
		Creating an empty project
		Previewing web pages
		Reloading the browser view on save
		Using the PyCharm HTML preview
		Configuring the available browsers
		Navigating structure code with the structure window
	Adding the CSS
		Using color selectors
	Adding JavaScript
		Adding some JavaScript code
		Adding the elements to the HTML file
		Debugging client-side JavaScript
		Working with Emmet templating
	HTML project types in PyCharm Professional
		HTML 5 Boilerplate
		Previewing and editing graphics with external tools
		Uploading your site to a server
		Creating a Bootstrap project
	Working with modern JavaScript and NodeJS
		Creating a NodeJS project
		Creating a React project
		Other frontend frameworks
	Summary
	Questions
Building a Dynamic Web Application with Flask
	Technical requirements
	Web basics – client-server architecture
	Exploring the request-response mechanism in HTTP – how clients and servers communicate
	What is Flask?
		Request-response handling and routing with Werkzeug
		Templating with Jinja2
	A note on naming files and folders
	Creating a Flask application in PyCharm Professional
	Creating a dynamic web application
		Setting up the static parts
		Running the Flask app
		Let’s make it look a little better
		Adding some CSS
		Making the page dynamic
		Editor enhancements for working with Flask and Jinja2
	Summary
	Further reading
Creating a RESTful API with FastAPI
	Technical requirements
	There is no REST in a wicked stateless world
	Creating a FastAPI project in PyCharm Professional
	Running the FastAPI project
	Working with PyCharm’s HTTP Requests
		Examining the details of the return
		We just generated a new run configuration
		Using Before launch actions in run configurations
		Working with HTTP Request environments
	Let’s get CRUDdier and then get testier!
		Getting testier
		Creating the tests
	Editing and debugging a full stack app by attaching projects
		Creating a React app in a separate project
		Attaching the project to your FastAPI project we created earlier
	Summary
	Questions
	Further reading
More Full Stack Frameworks – Django and Pyramid
	Technical requirements
	What’s all this fuss about Django?
		Django framework components
	Creating a Django project
	Structure of a Django project
		Initial configuration
		Running the Django project
	Creating Django models
	Performing migrations using manage.py
	The Django admin interface
		Creating a superuser and logging in
		Adding the Author and Book models to the admin interface
	Creating Django views
		What’s with the weird Python icon in the template gutter?
		Run it!
	Building Pyramid applications with PyCharm
		Creating a Pyramid project
	Summary
	Questions
	Further reading
Understanding Database Management in PyCharm
	Technical requirements
	Relational databases in a nutshell
	Structured Query Language
		The two halves of SQL
		Relationships
		More relational structures
		Database terminology uses simple English plurals
	Database tooling in PyCharm
	Setting up a MySQL database server with Docker
		Installing and running the MySQL container
		Stopping and starting the container
	Connecting to data sources using PyCharm
		Creating a new database
		Setting the SQL dialect (this is crucial)
		Grouping and color coding data sources
	Database design and manipulation
		Creating a table
		Altering existing structures
		Generating scripts
	Querying the data source using SQL
		Ad hoc queries
		Generating SQL statements
		Running the query
		Exporting query results
		Working with SQL files
	Summary
	Further reading
Part 4: Data Science with PyCharm
Turning On Scientific Mode
	Technical requirements
	Creating a scientific project in PyCharm
	Additional configuration for science projects in PyCharm
		Markdown plugins
		Adding images
		Installing the CSV plugin
		Installing the cell mode plugin
	Installing packages
		Backfill your requirements.txt file
	Adding some sciency code
	Toggling scientific mode
	Understanding the advanced features of PyCharm’s scientific projects
		The documentation viewer
		Using code cells in PyCharm
		Using PyCharm code cells
		The cell mode plugin
	Summary
	Questions
Dynamic Data Viewing with SciView and Jupyter
	Technical requirements
	Data viewing made easy with PyCharm’s SciView panel
	Viewing and working with plots
		Heatmaps and correlational data
	Viewing and working with data
		Filtering in the Data tab
	Understanding IPython and magic commands
		Installing and setting up IPython
		Introducing IPython magic commands
	Leveraging Jupyter notebooks
	Understanding Jupyter basics
	The idea of iterative development
	Jupyter notebooks in PyCharm
		Creating a notebook and adding our code
		Documenting with Markdown and LaTeX
		Adding our plots
		Executing the cells
		Odds and ends
	Summary
	Questions
Building a Data Pipeline in PyCharm
	Technical requirements
	Working with datasets
	Starting with a question
		Archived user data
		Tappy data
	Data collection
		Downloading from an external source
		Manually collecting/web scraping
		Collecting data via third parties
		Database exports
	Version control for datasets
		Using Git Large File Support
	Data cleansing and preprocessing
		A toxic data example peripherally involving ninjas
		Exploratory analysis in PyCharm
		Data cleansing
		Exploring the second dataset
		Refactoring for scale
	Data analysis and insights
		Starting the notebook and reading in our processed data
	Using charts and graphs
	Machine learning-based insights
	Scripts versus notebooks in data science
	Summary
	Questions
	Further reading
Part 5: Plugins and Conclusion
More Possibilities with Plugins
	Technical requirements
	Bundled plugins and JetBrains Marketplace
		The plugins window
		Bundled plugins
		JetBrains Marketplace
		Making your own plugins
		Requiring plugins for your projects
		Useful miscellaneous plugins
	Code with me (and never be lonely again)
	Remote development
		Configuring remote development in PyCharm
		Creating a remote project
		Let’s try that again
		Creating a virtual environment on the remote
		Other considerations
	Working with Docker
		The bundled Docker plugin
		Create the project
		Add a Docker run configuration
	Summary
Your Next Steps with PyCharm
	Miscellaneous topics in PyCharm
		Remote virtual environments
		Working with HashiCorp Vagrant
		Tracking your time
		TODO list
		Macros
		Notifications
	New features in 2023.2
		Black integration
		GitLab integration
		Run anywhere
		AI Assistant
		Jupyter Notebook support for Polars
	Summary and closing remarks
	Further reading
Index
Other Books You May Enjoy




نظرات کاربران