Fake app for mac. Simple To-Do App Software Library For. Fake app 1.0 for Mac can be downloaded from our software library for free. The unique ID for this apps bundle is org.destroyfx.FakeApp. This Mac download was checked by our antivirus and was rated as virus free. The following version: 1.0 is the most frequently downloaded one by the program. Download the latest version of Xcode on your Mac free from the App Store. To download the latest version of Xcode. Open the App Store app on your Mac (by default it’s in the Dock). In the search field in the top-right corner, type Xcode and press the Return key. The Xcode app shows up as the first search result. Click Get and then click.
It's pretty easy to understand. Unfortunately, the app is gone now, but I decided to create a UI that was just as easy to understand. What I cherished. The important thing during the making was to make a safe app. ToDo list is literally a to-do list, but it is used by various users, and sometimes it is seen by others. Microsoft To Do. To Do gives you focus, from work to play.
Jump Right In
Start Developing iOS Apps (Swift) is the perfect starting point for learning to create apps that run on iPhone and iPad. View this set of incremental lessons as a guided introduction to building your first app—including the tools, major concepts, and best practices that will ease your path.
Each lesson contains a tutorial and the conceptual information you need to complete it. The lessons build on each other, walking you through a step-by-step process of creating a simple, real-world iOS app.
As you make your way through the lessons and build the app, you’ll learn about concepts in iOS app development, gain a deeper understanding of the Swift programming language, and familiarize yourself with the many valuable features of Xcode, Apple’s integrated development environment (IDE).
Prerequisites
In these lessons, it is assumed that you are familiar with the Swift programming language. You do not need to be a Swift master to complete the lessons, but you will get more out of the lessons if you can comfortably read and understand Swift code.
If you are not yet comfortable with Swift, complete the Learn to Code exercises in the Swift Playgrounds app. Alternatively, you can work through A Swift Tour from The Swift Programming Language (Swift 3). Both give you a solid foundation in the Swift programming language.
About the Lessons
In these lessons, you’ll be building a simple meal-tracking app called FoodTracker. This app shows a list of meals, including a meal name, rating, and photo. A user can add, remove, or edit a meal. To add a new meal or edit an existing one, users navigate to a different screen where they can specify a name, rating, and photo for a particular meal.
The lessons are each accompanied by an Xcode project file that shows an example of how your code and interface should look at the end of the lesson. After you go through a lesson, you can download the project and check your work against it.
If you need to refer to the concepts you’ve learned throughout the lessons, use the glossary to refresh your memory. Glossary terms are linked throughout the lessons.
Get the Tools
To develop iOS apps using the latest technologies described in these lessons, you need a Mac computer (macOS 10.11.5 or later) running the latest version of Xcode. Xcode includes all the features you need to design, develop, and debug an app. Xcode also contains the iOS SDK, which extends Xcode to include the tools, compilers, and frameworks you need specifically for iOS development.
Download the latest version of Xcode on your Mac free from the App Store.
To download the latest version of Xcode
Important
The lessons were written using Xcode 8.1, iOS SDK 10, and Swift 3. Try to use these versions while working on the tutorials. If you are using a different version, your screen may look different than what is shown in the screenshots. You may also need to make changes to your code to get it to compile.
Let’s get started!
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As you start to build more complex applications with PyQt5 you'll likely come across issues keeping widgets in sync with your data.
Data stored in widgets (e.g. a simple
QListWidget ) is not readily available to manipulate from Python — changes require you to get an item, get the data, and then set it back. The default solution to this is to keep an external data representation in Python, and then either duplicate updates to the both the data and the widget, or simply rewrite the whole widget from the data. This can get ugly quickly, and results in a lot of boilerplate just for fiddling the data.
Thankfully Qt has a solution for this — ModelViews. ModelViews are a powerful alternative to the standard display widgets, which use a regular model interface to interact with data sources — from simple data structures to external databases. This isolates your data, allowing it to be kept in any structure you like, while the view takes care of presentation and updates.
This tutorial introduces the key aspects of Qt's ModelView architecture and uses it to build simple desktop Todo application in PyQt5.
Model View Controller
Model–View–Controller (MVC) is an architectural pattern used for developing user interfaces which divides an application into three interconnected parts. This separates the internal representation of data from how information is presented to and accepted from the user.
The MVC design pattern decouples three major components —
It Qt land the distinction between the View & Controller gets a little murky. Qt accepts input events from the user (via the OS) and delegates these to the widgets (Controller) to handle. However, widgets also handle presentation of the current state to the user, putting them squarely in the View. Rather than agonize over where to draw the line, in Qt-speak the View and Controller are instead merged together creating a Model/ViewController architecture — called 'Model View' for simplicity sake.
Importantly, the distinction between the data and how it is presented is preserved.
The Model View
The Model acts as the interface between the data store and the ViewController. The Model holds the data (or a reference to it) and presents this data through a standardised API which Views then consume and present to the user. Multiple Views can share the same data, presenting it in completely different ways.
You can use any 'data store' for your model, including for example a standard Python list or dictionary, or a database (via e.g. SQLAlchemy) — it's entirely up to you.
The two parts are essentially responsible for —
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There is an in-depth discussion of the Qt architecture in the documentation.
A simple Model View — a Todo List
To demonstrate how to use the ModelViews in practise, we'll put together a very simple implementation of a desktop Todo List. https://cleverstorm835.weebly.com/mac-remove-photos-app.html. This will consist of a
QListView for the list of items, a QLineEdit to enter new items, and a set of buttons to add, delete, or mark items as done.
The UI
The simple UI was laid out using Qt Creator and saved as
mainwindow.ui . The .ui file and all the other parts can be downloaded below.
Designing a Simple Todo app in Qt Creator
The running app is shown below.
The running Todo GUI (nothing works yet)
The widgets available in the interface were given the IDs shown in the table below.
We'll use these identifiers to hook up the application logic later.
The Model
We define our custom model by subclassing from a base implementation, allowing us to focus on the parts unique to our model. Qt provides a number of different model bases, including lists, trees and tables (ideal for spreadsheets).
For this example we are displaying the result to a
QListView . The matching base model for this is QAbstractListModel . The outline definition for our model is shown below.
The
.todos variable is our data store and the two methods rowcount() and data() are standard Model methods we must implement for a list model. Create a document on mac. We'll go through these in turn below.
.todos list
The data store for our model is
.todos , a simple Python list in which we'll store a tuple of values in the format [(bool, str), (bool, str), (bool, str)] where bool is the done state of a given entry, and str is the text of the todo.
We initialise
self.todo to an empty list on startup, unless a list is passed in via the todos keyword argument.
self.todos = todos or [] will set self.todos to the provided todos value if it is truthy (i.e. anything other than an empty list, the boolean False or None the default value), otherwise it will be set to the empty list [] .
To create an instance of this model we can simply do —
python
Or to pass in an existing list —
.rowcount()
The
.rowcount() method is called by the view to get the number of rows in the current data. This is required for the view to know the maximum index it can request from the data store (row count-1 ). Since we're using a Python list as our data store, the return value for this is simply the len() of the list.
.data()
This is the core of your model, which handles requests for data from the view and returns the appropriate result. It receives two parameters
index and role.
index is the position/coordinates of the data which the view is requesting, accessible by two methods .row() and .column() which give the position in each dimension.
For our
QListView the column is always 0 and can be ignored, but you would need to use this for 2D data in a spreadsheet view.
role is a flag indicating the type of data the view is requesting. This is because the .data() method actually has more responsibility than just the core data. It also handles requests for style information, tooltips, status bars, etc. — basically anything that could be informed by the data itself.
The naming of
Qt.DisplayRole is a bit weird, but this indicates that the view is asking us 'please give me data for display'. There are other roles which the data can receive for styling requests or requesting data in 'edit-ready' format.
For a full list of available roles that you can receive see the Qt ItemDataRole documentation. Our todo list will only be using
Qt.DisplayRole and Qt.DecorationRole .
Basic implementation
Below is the basic stub application needed to load the UI and display it. We'll add our model code and application logic to this base.
python
We define our
TodoModel as before, and initialise the MainWindow object. In the __init__ for the MainWindow we create an instance of our todo model and set this model on the todo_view . Save this file as todo.py and run it with —
While there isn't much to see yet, the
QListView and our model are actually working — if you add some default data you'll see it appear in the list.
python
QListView showing hard-coded todo item
You can keep adding items manually like this and they will show up in order in the
QListView . Next we'll make it possible to add items from within the application.
First create a new method on the
MainWindow named add . This is our callback which will take care of adding the current text from the input as a new todo. Connect this method to the addButton.pressed signal at the end of the __init__ block.
In the
add block notice the line self.model.layoutChanged.emit() . Here we're emitting a model signal .layoutChanged to let the view know that the shape of the data has been altered. This triggers a refresh of the entirety of the view. If you omit this line, the todo will still be added but the QListView won't update.
If just the data is altered, but the number of rows/columns are unaffected you can use the
.dataChanged() signal instead. This also defines an altered region in the data using a top-left and bottom-right location to avoid redrawing the entire view.
Hooking up the other actions
We can now connect the rest of the button's signals and add helper functions for performing the delete and complete operations. We add the button signals to the
__init__ block as before.
python
Best Todo App Windows 10
Then define a new
delete method as follows —
Microsoft Todo Mac App
We use
self.todoView.selectedIndexes to get the indexes (actually a list of a single item, as we're in single-selection mode) and then use the .row() as an index into our list of todos on our model. We delete the indexed item using Python's del operator, and then trigger a layoutChanged signal because the shape of the data has been modified.
Finally, we clear the active selection since the item it relates to may now out of bounds (if you had selected the last item).
You could try make this smarter, and select the last item in the list instead
The
complete method looks like this —
python
This uses the same indexing as for delete, but this time we fetch the item from the model
.todos list and then replace the status with True .
We have to do this fetch-and-replace, as our data is stored as Python tuples which cannot be modified.
The key difference here vs. standard Qt widgets is that we make changes directly to our data, and simply need to notify Qt that some change has occurred — updating the widget state is handled automatically.
Using Qt.DecorationRole
If you run the application now you should find that adding and deleting both work, but while completing items is working, there is no indication of it in the view. We need to update our model to provide the view with an indicator to display when an item is complete. The updated model is shown below.
We're using a tick icon
tick.png to indicate completed items, which we load into a QImage object named tick . In the model we've implemented a handler for the Qt.DecorationRole which returns the tick icon for rows who's status is True (for complete).
The icon I'm using is taken from the Fugue set by p.yusukekamiyamane
Instead of an icon you can also return a color, e.g.
QtGui.QColor('green') which will be drawn as solid square.
Running the app you should now be able to mark items as complete.
Todos Marked Complete
A persistent data store
Our todo app works nicely, but it has one fatal flaw — it forgets your todos as soon as you close the application While thinking you have nothing to do when you do may help to contribute to short-term feelings of Zen, long term it's probably a bad idea.
The solution is to implement some sort of persistent data store. The simplest approach is a simple file store, where we load items from a JSON or Pickle file at startup, and write back on changes.
To do this we define two new methods on our
MainWindow class — load and save . These load data from a JSON file name data.json (if it exists, ignoring the error if it doesn't) to self.model.todos and write the current self.model.todos out to the same file, respectively.
python
To persist the changes to the data we need to add the
.save() handler to the end of any method that modifies the data, and the .load() handler to the __init__ block after the model has been created.
The final code looks like this —
If the data in your application has the potential to get large or more complex, you may prefer to use an actual database to store it. In this case the model will wrap the interface to the database and query it directly for data to display. Mac settings open app at login. I'll cover how to do this in an upcoming tutorial.
For another interesting example of a
QListView see this example media player application. It uses the Qt built-in QMediaPlaylist as the datastore, with the contents displayed to a QListView .
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