With an all-new design that looks great on macOS Big Sur, Xcode 12 has customizable font sizes for the navigator, streamlined code completion, and new document tabs. Xcode 12 builds Universal apps by default to support Mac with Apple Silicon, often without changing a single line of code.
- For invoking various Catalina utilities from within Code::Blocks. Extract the Catalina files from the appropriate archive for your platform – i.e. Either codeblockswin32.zip (which when unzipped will create a Windows folder) or codeblocksLinux.tgz (which when uncompressed will create a Linux folder). Step 2 – install Code::Blocks Catalina does not include a copy of Code::Blocks itself.
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Code Blocks is a free and cross platform IDE for C, C and Fortran. You can install Code Blocks in any version of macOS like macOS 10.15 (aka macOS Catalina) or macOS 11.0 (aka macOS Big Sur). Due to lack of Mac developers, Code Blocks version.
Designed for macOS Big Sur.
Xcode 12 looks great on macOS Big Sur, with a navigator sidebar that goes to the top of the window and clear new toolbar buttons. The navigator defaults to a larger font that’s easier to read, while giving you multiple size choices. New document tabs make it easy to create a working set of files within your workspace.
Document tabs.
The new tab model lets you open a new tab with a double-click, or track the selected file as you click around the navigator. You can re-arrange the document tabs to create a working set of files for your current task, and configure how content is shown within each tab. The navigator tracks the open files within your tabs using strong selection.
Navigator font sizes.
The navigator now tracks the system setting for “Sidebar icon size” used in Finder and Mail. You can also choose a unique font size just for Xcode within Preferences, including the traditional dense information presentation, and up to large fonts and icon targets.
Code completion streamlined.
A new completion UI presents only the information you need, taking up less screen space as you type. And completions are presented much faster, so you can keep coding at maximum speed.
Redesigned organizer.
An all-new design groups all critical information about each of your apps together in one place. Choose any app from any of your teams, then quickly navigate to inspect crash logs, energy reports, and performance metrics, such as battery consumption and launch time of your apps when used by customers.
SwiftUI
SwiftUI offers new features, improved performance, and the power to do even more, all while maintaining a stable API that makes it easy to bring your existing SwiftUI code forward into Xcode 12. A brand new life cycle management API for apps built with SwiftUI lets you write your entire app in SwiftUI and share even more code across all Apple platforms. And a new widget platform built on SwiftUI lets you build widgets that work great on iPad, iPhone, and Mac. Your SwiftUI views can now be shared with other developers, and appear as first-class controls in the Xcode library. And your existing SwiftUI code continues to work, while providing faster performance, better diagnostics, and access to new controls.
Universal app ready.
Xcode 12 is built as a Universal app that runs 100% natively on Intel-based CPUs and Apple Silicon for great performance and a snappy interface.* It also includes a unified macOS SDK that includes all the frameworks, compilers, debuggers, and other tools you need to build apps that run natively on Apple Silicon and the Intel x86_64 CPU.
Updated automatically
When you open your project in Xcode 12, your app is automatically updated to produce release builds and archives as Universal apps. When you build your app, Xcode produces one binary “slice” for Apple Silicon and one for the Intel x86_64 CPU, then wraps them together as a single app bundle to share or submit to the Mac App Store. You can test this at any time by selecting “Any Mac” as the target in the toolbar.
Test multiple architectures.
On the new Mac with Apple Silicon, you can run and debug apps running on either the native architecture or on Intel virtualization by selecting “My Mac (Rosetta)” in the toolbar.
Multiplatform template
New multiplatform app templates set up new projects to easily share code among iOS, iPadOS, and macOS using SwiftUI and the new lifecycle APIs. The project structure encourages sharing code across all platforms, while creating special custom experiences for each platform where it makes sense for your app.
Improved auto-indentation
Swift code is auto-formatted as you type to make common Swift code patterns look much better, including special support for the “guard” command.
StoreKit testing
New tools in Xcode let you create StoreKit files that describe the various subscription and in-app purchase products your app can offer, and create test scenarios to make sure everything works great for your customers — all locally testable on your Mac.
Get started.
Download Xcode 12 and use these resources to build apps for all Apple platforms.
Posted on October 12, 2019 by Paul
Updated 8 May 2020
In this tutorial, I will show you how to compile from source and install the current stable version of GCC on your macOS computer. The instructions from this tutorial were tested on Catalina (macOS 10.15).
Clang, the default compiler for macOS, supports only C, C++, Objective-C and Objective-C++. If you are interested in a modern Fortran compiler, e.g. you will need gfortran that comes with GCC. Another reason to have the latest stable version of GCC on your macOS is that it provides you with an alternative C and C++ compiler. Testing your code with two different compilers is always a good idea.
Building GCC 10 from sources could take some time, in my case it took about two hours on a MacBook Air with a 16GB of RAM.
In order to compile GCC from sources you will need a working C++ compiler. In the remaining of this article I will assume that you have installed the Command Line Tools for Xcode. At the time of this writing Apple’s Command Line Tools maps the gcc and g++ to clang and clang++. If you don’t have the Command Line Tools installed, open a Terminal and write:
which will guide you through the installation process.
Let’s start by creating a working folder:
Next, we can download and extract the latest stable version of GCC:
GCC 10 depends on a couple of other libraries (GSL, GMP, MPFR and ISL) that can be downloaded with:
the above four prerequisites will be built during the GCC build.
We are ready to compile GCC now. Be prepared that this could take some time … Since I’m interested only in the C, C++ and Fortran compilers, this is the configure command I’ve used on my machine:
The above command instructs the configure app to add a prefix to all the resulting executable programs, so for example if you want to invoke GCC 10.1.0 you will write gcc-10.1, the gcc command will invoke Apple’s version of clang.
If you are interested in building more compilers available in the GCC collection modify the –enable-languages configure option.
And now, the final touches:
Grab a coffee, maybe a book, and wait … this should take approximately, depending on your computer configuration, an hour … or more … and about 4.15GB of your disk space for the build folder.
Macos Catalina Download
Install the compiled gcc in /usr/local/gcc-10.1.0:
Now, you can keep the new compiler completely isolated from your Apple’s gcc compiler and, when you need to use it, just modify your path by writing in Terminal:
If you want to avoid writing the above command each time you open a Terminal, save the above command in the file .zshrc from your Home folder, e.g:
You should be able to invoke any of the newly built compilers C, C++, Fortran …, invoking g++ is as simple as writing in your Terminal:
Remember to erase the working folder from your HOME if you want to recover some space:
Next, I’ll show you how to check if the compiler was properly installed by compiling and running a few examples. GCC 10 uses by default the C++14 standard and C11 for the C coders, you should be able to compile any valid C++14 code directly. In your favorite text editor, copy and save this test program (I’ll assume you will save the file in your Home directory):
Compiling and running the above lambda example:
We could also compile a C++ code that uses threads:
Next, we present a simple C++ code that uses regular expressions to check if the input read from stdin is a floating point number:
If you are a Fortran programmer, you can use some of the Fortran 2008 features like doconcurrent with gfortran-10.1:
The above code can be compiled with (assuming you’ve saved it as tst_concurrent_do.f90):
If you are interested in learning more about the new C++11/C++14 syntax I would recommend reading The C++ Programming Language by Bjarne Stroustrup.
or, Professional C++ by M. Gregoire, N. A. Solter, S. J. Kleper 2nd edition:
If you need to brush your Fortran knowledge a good book is Modern Fortran Explained by M. Metcalf, J. Reid and M. Cohen: