- Basic Programming On Mac
- Basic Programming Language For Mac
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- Programming Language For Mac And Pc Windows 10
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Like the “Apple’s native browser Safari can easily connect to an iOS simulator thus allowing you the benefit of testing these apps on tan iPhone and iPad like interface.” for web based apps Chrome can also do this on windows and mac and I’m sure he meant iOS Device not simulator if you want a simulator just use the browser capabilities they wont have any extra delay then. App developers for iOS and iPadOS rely on the Swift programming language. Swift Playgrounds is available on the Mac and as an iPad app.Designed to teach kids how to program in Swift, it is a free download from Apple and does not require any prior coding knowledge. Objective-Basic is a powerful BASIC programming language for Mac, which is simply intuitive and fast easy to learn. It is related to Visual Basic and Objective-C. It is an easy-usable, object. SwiftForth brings the fast, powerful, ANS Forth programming language to Windows, Linux, and macOS. No need for an external compiler, assembler, or linker. Easy access to all system functions and dynamic libraries. Includes SWOOP™, a powerful object-oriented Forth programming system.
Who isn’t searching for the best laptops for running python? Laptops come in all forms. There are some better suited for quick web browsing and others for a mish-mash of writing documents, listening to music, and gaming. Then, there are laptops which are ideal for programming. Finding the best for python programming can be very important and not as difficult to do as you might believe.
Python is a vastly popular programming language and is widely used throughout the world. It’s easy to see why python is among the most used programs of today. It can understand the English language, which allows it to carry out simple commands with minimal fuss and effort. Python comes with a fully-integrated interpreter and that makes it more versatile. Also, it’s able to execute programs effectively. Python is used across a variety of platforms and systems worldwide, as well as with software applications.
Even if you’re a beginner, python is incredibly easy to grasp. Investing in a good laptop is crucial, especially if you specialize in computer programming or web development. Finding the very best laptop takes time because there are many options to consider. So, which are the best laptops for programming and gaming and what should you consider before buying?
Your Purpose for Using Python Programming
Finding the best laptops for coding and programming can be tricky because everyone wants and needs something different. What you require in the best laptop for programming is very different from what another needs and that will impact the type of laptop you buy. So, ask yourself why you are using python. Are you interested in web development? If so, pythonprogramming will be necessary. If you can answer the question, you take one giant step towards understanding the type of laptop you need.
How Much Power Does the Computer Offer?
Power is a necessity for a programming laptop. When it comes to choosing laptops for programmers you have to consider how much power the laptops has to offer. Is it strong enough to cope with your graphics card? Is it able to handle programming and gaming? Remember, gaming laptops can also be used for programming because they carry a lot of power and have more memory capabilities. You want to invest in a powerful machine; that has to be among the top priorities to investigate when buying a laptop.
Python is, in fact, available on a variety of operating systems, including Windows, Linux, and Mac OS. However, if you prefer one operating system to another, like Windows for example, then you know which type of laptops to look for. You can narrow which laptops you look for simply by knowing the type of operating system you want to work with. Despite what you might believe, an operating system can impact your decision. Some operating systems are limited to the laptops they’re available with so that will help buyers too.
Newcomers to python won’t think about the CPU and that’s a major mistake. You always have to consider the type of processor (CPU) the computer has. While the majority of laptops available today can be used for programming, it’ll all depend on the type of CPU available. Even the best budget laptop can be used for programming, as long as it has a good processor. Ideally, you want to invest in a laptop with a strong CPU, especially if you’re into advanced programming. You have to think very carefully about your programming CPU before you buy any new machine.
RAM is the memory of the computer. When you buy a laptop computer, no matter your budget, you have to consider the size of the memory available. If you’re going to use the laptop for computer programming, then you want more memory, at least 8GB of it. However, you probably require considerably more. In the end, the more memory you have, the more tasks you can undertake so that’s something to think about when buying the best laptop. It’ll talk about memory, but take particular notice of the RAM size too.
The Graphics Card
A dedicated graphics card can be used with python and it’s an essential part of the laptop. While you may not think a graphics card is a necessity, really can be, depending on what you plan to do on the laptop. They can be used for python programming, as well as, gaming, so you need to ensure that’s available. A graphics card can also be used with gaming laptops.
Storage Type and Capacity
HDD’s are often standard features on a laptop, but for programming, a SSD might be more suited. SSD’s are favored over HDD for programming because they’re faster and make things run faster as well. Also, they improve the overall programming experience and that’s a huge advantage.
Memory is a necessity. As said previously, you want a lot of memory within the hard drive of the computer, with the ability to extend if necessary. Programming uses up a lot of space so it’s crucial to have lots of GB’s available. Whether you want the best budget laptop or invest in an expensive machine, you have to consider computers with a high storage capacity.
The Portability of the Laptop
Few people think about how portable the laptop is, but it’s essential. There are lots of laptops available and some are better suited for a home environment. If you’re going to be running python with the laptop, you want to ensure it’s portable because you’ll be carrying it around. You’ll be going from the office to your home and back again; so it’s essential for the laptop to be light and easy to carry around.
The Display Features
HD displays tend to be more useful for programmers. They offer good graphics and are highly recommended. You want to be able to adjust the brightness of the screen as and when required and that’s why you have to invest in a quality laptop. You’re going to be spending hours staring at the computer screen so it’s essential to have a quality machine.
The Size of the Machine
Typically, it’s recommended for programmers to opt for a 12 or 13-inch screen size, but they can be any size you want them to be. Laptops for programmers can be as big as you want, just as long as they’re comfortable to use and view.
Battery Life and Keyboard
Laptop for programmers should have decent battery life available. It might not be overly important if you plan to use it as home since you can plug up and charge when you need to, but, outdoors is different. If you’re using it while traveling or going to and from work, you need to seriously consider the battery life.
You don’t often think about the keyboard with a python programming laptop, but it’s essential. You’re going to require a good and sturdy keyboard since you’re typing all day. If the keyboard is too stiff, it’ll cost time when typing and use up more energy too. Laptops for programming require good keyboards.
Acer Aspire E15 E5-576G-5762
Acer is a big name within the computing industry and this laptop offers great value for money. It’s ideal for python programming and comes with a reasonable budget too. The CPU is Intel Core i5 and offers speeds of 1.6 GHz. Acer Aspire E15 is able to handle programming software easily and comes with 8GB of RAM and 256GB of SSD memory. It also has a NVIDIA GEFORCE MX150 GPU. Since it has a NVIDIA GEFORCE GPU, it’s a strong contender for being one of the best laptops. Also, it has a backlit keyboard and a 15.6-inch HD display.
Acer Predator Helios 300
The Acer Predator laptop is sturdy, strong, and very impressive. It comes with an Intel Core i7 processor and the CPU is one of the fastest available anywhere today. The Predator Helios has 16GB of RAM which is amazing and 256GB of SSD. It has NVIDIA GEFORCE GTX 1060 too. This laptop is suitable for programming, gaming, and coding. The 17.3-inch display is impressive and comes with a backlit keyboard also.
The Lenovo Think Pad T480S
The Lenovo is a major name in the computing world and remains a firm favorite among programmers. The Think Pad T480S is truly a great laptop for programming and offers great performance for all users. The keyboard is light but strong and is excellent for fast typing and the laptop comes with an Intel Core i7 8550U CPU. Lenovo offers 16GB of RAM and 512GB of SSD, which is very impressive. However, the laptop looks good and offers great features; it’s also portable with a battery life of 13 hours.
The Dell XPS 15 7590
Dell is a major player in the industry. The XPS 15 comes with an Intel Core i7 family programming CPU and looks sleek and very appealing. There is 1TB of SSD – that’s massive – and 16GB of RAM; it doesn’t get any better! However, this is an excellent choice for programming software because the boot-ups are fast and ideal for programming, gaming, and for coding. There is also a 4K, 15.6-inch display screen too. Computer programming doesn’t get any easier with this laptop!
Which Laptop Is Best for Gaming and Programming?
- HP Envy 13-inch Laptop
- Dell XP Infinity Edge Laptop
- Asus K501UW-AB78 15.6-inch Gaming Laptop
- Lenovo 20KH002Rus Think Pad
- Dell Latitude E7470 Business Ultra Book
These are among the top rated laptops for gaming and programming; however, the above are only a select few available. The Asus VivoBook is another great laptop to consider. It’s an all-purpose machine which means it’s suitable for a range of everyday tasks as well as coding and programming. There is quality available with the Asus VivoBook S14, so that’s another one to consider. Finding the best for programming is a lot easier when you know what’s available.
For web development, New Mac Book, Asus Zen Book, Mac Book Pro, and Lenovo Think Pad Edge E580 are options to consider.
Find the Best
Laptops for programming vary considerably; however, finding the best for python programming isn’t a difficult task. You can find one that’s ideally suited to your budget and requirements. Shop wisely and find the best programming laptop for you.
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Everything application developers need is found in this development system for Windows, Linux, and macOS. Access to native system functions is easy. The Forth programming language is the high-performance foundation of this full-featured, interactive development environment.
On This Page
- Forth Implementation Features
- Programming Tools
- Debugging Tools
- Libraries, Functions, Callbacks, and Threads
- IDE for Windows Programming
- SwiftForth Programming Language References
SwiftForth brings the fast, powerful, ANS Forth programming language to Windows, Linux, and macOS.
- No need for an external compiler, assembler, or linker.
- Easy access to all system functions and dynamic libraries.
- Includes SWOOP™, a powerful object-oriented Forth programming system.
- Command window provides interactive development environment.
- Simple linking to the programmer’s editor of your choice.
- Advanced debugging features include built-in cross reference, source browser, and disassembler/decompiler.
- Powerful rule-based optimizing compiler.
After installation, the full SwiftForth documentation (all in PDF format; requires Adobe Reader) will be located in the SwiftForth/doc directory. The documentation consists of:
- SwiftForth Reference Manual
- ANS Forth Standard
- Forth Programmer’s Handbook
Complete source code
The fully licensed version of SwiftForth includes complete source, including the kernel, Interactive Development Environment (IDE), and all features.
SwiftForth also includes the cross compiler, which compiles the kernel, so you can customize the kernel to your needs.
These are the OS-specific requirements for SwiftForth:
- GUI IDE for Windows: Windows 7 or later
- Command-line IDE for macOS: Mac OS X 10.6 through macOS 10.14 (requires 32-bit library support)
- Command-line IDE for Linux: Linux 2.6 kernel with 32-bit library support
SwiftForth requires an i386-compatible CPU. If you’re looking for something for your Beaglebone, Raspberry Pi, or other embedded ARM Linux board, check out SwiftX-ARM for Linux targets.
Forth Implementation Features
SwiftForth is designed to produce optimal performance. This section describes the implementation of the Forth virtual machine, and will be of interest to experienced Forth programmers.
SwiftForth is a 32-bit, subroutine-threaded Forth system running as user application under Windows, Linux, and macOS.
Subroutine threading is an implementation strategy in which references in a colon definition are compiled as subroutine calls. SwiftForth substitutes direct code in place of subroutine calls wherever possible for efficiency.
Colon and code definitions do not have a code field distinct from the content of the definition itself; data structures typically have a code field consisting of a call to the code for that data type. At the end of a colon definition, the conventional EXIT is replaced by a subroutine return (or by tail recursion).
The nature of a subroutine-threaded implementation lends itself to inline code expansion. SwiftForth takes advantage of this by having a header flag that indicates if a word is to be compiled inline or called. The compiler will automatically inline a definition whose INLINE field is set. Many of the kernel-level CODE words are marked to be inlined.
SwiftForth’s CPU register usage
|EBX||top of stack|
|ESI||user area pointer|
|EDI||executable base address|
|EBP||data stack pointer|
|ESP||return stack pointer|
All other CPU registers are available for use without saving and restoring.
SwiftForth runs in a single, contiguous, flat 32-bit address space. SwiftForth is position independent, which means it can run wherever the host OS has loaded it without having to keep track of where that is.
By being position independent, SwiftForth simplifies and speeds up interactions with the host environment. This feature is a natural consequence of subroutine threading, because i386 call instructions use relative addresses. Forth execution tokens are relative to the start of the run-time memory space, but they are used only internally and do not need conversion. All data objects that return addresses return full absolute addresses that can be passed to the host OS, if desired, without conversion.
The SwiftForth dictionary can accommodate word names up to 254 characters in length. Wordlists are multithreaded via a hashing mechanism to speed up the dictionary search process. Wordlists in SwiftForth may have any number of threads; the default number of threads is 31.
SwiftForth was implemented for ANS Forth compliance, and includes a copy of the Hayes compliance test suite. The Core, Core Extensions, Blocks, Double Number, Exception, Facility, File Access, Floating Point, Memory Allocation, Programming Tools, Search Order, and String wordsets are complete except for words marked obsolescent. A Local Variables wordset is provided that is compliant except for argument order.
Text and block-file support
The interpreter will handle both text and block files.
For text files, the system provides for linking to an arbitrary external editor. LOCATE is fully supported for both text and block files, displaying a portion of source in the command window with an option to switch to an external editor. The normal LIST method is used for block files.
Assembler and disassembler
A postfix assembler and disassembler are supplied. The assembler supports the required set of Intel-defined operations and addressing modes. Except for the ordering of arguments, it is essentially identical to Intel notation. Structured conditionals (IF, THEN, etc.) are implemented.
The disassembler can decompile high-level Forth words as well as CODE definitions.
SwiftForth provides a local variables implementation that is compatible with ANS Forth. Local variables in SwiftForth are instantiated on the return stack.
SwiftForth includes good support for floating-point math. Use of the hardware FP stack is optional (e.g., use it for optimum speed when you don’t require more than about six or seven floating-point values on the stack at a time).
SwiftForth includes the ANS Forth floating-point wordset, plus high-level words for trig, log and exponential functions, and words for defining and displaying matrices. Input and display formats are configurable.
SwiftForth also includes the entire Forth Scientific Library, with the required compatibility layer. Information about the contents of this library may be found at https://www.taygeta.com/fsl/scilib.html.
SwiftForth includes a powerful rule-based optimizing compiler.
Basic Programming On Mac
As noted previously, SwiftForth uses inlined code and tail recursion to increase efficiency. More extensive optimization is provided by a powerful rule-based optimizer that can optimize hundreds of common high-level phrases. This optimizer is normally enabled, but can be disabled for debugging or comparison purposes.
For example, consider the definition of DIGIT, which converts a small binary number to a printable character:
With the optimizer disabled, the following code is generated (displayed here using the SwiftForth disassembler):
With the optimizer enabled, the benefits are obvious:
Command-line editing and history
When you type in the command window, SwiftForth will wait to process what you’ve typed until you press the Enter key. Before pressing Enter, you may backspace or use the left- and right-arrow keys to edit your command line. The up- and down-arrow keys page through a buffer of previous command lines.
Basic Programming Language For Mac
The SwiftForth command-line processor also implements tab completion. Pressing the Tab key after typing a few characters repeatedly completes the line from matching patterns in the command history buffer.
Integrated source browsing
You view the source for any word in the current search order by typing LOCATE <name>. This displays the line in the source on which the word appears, with several lines after it as well as the file in which the source is located and the line numbers of the lines displayed. Here’s an example:
Link to your favorite source editor
You may invoke your linked editor — for the word whose source was most recently displayed by LOCATE word — by typing EDIT. The editor will be launched and open with the correct source line selected.
Alternatively, you can type EDIT <name> to open the editor positioned at the line with the definition of name.
SwiftForth provides a cross-reference tool that enables you to find all references to a word. To find all the places a word is used, type:
This displays the first line of the definition of name, followed by each line of source code in which name is referenced in the currently loaded code. If there are multiple definitions with the same name, WHERE will list each definition and the references to it separately. The shortcut:
does the same thing. This command is not the same as a source search; it is based on the code that is loaded right now. This means you will be spared any instances of name in files you aren’t using and can see redifinitions and their respective references.
Disassembler and decompiler
SwiftForth includes a disassembler that can be used to generate human-readable source code from compiled definitions. This is useful as a cross check, whenever a new definition fails to work as expected, and also shows the results of SwiftForth’s optimizing compiler. By disassembling a definition, you can see exactly what instructions were generated by the compiler.
The single command SEE <name> disassembles the code generated for name.
For example, the definition of TIMER is:
It disassembles as follows:
The left column shows the memory location being disassembled. This is followed by the instruction (or data) at that location. Note that the disassembler attempts to match named locations in memory with their addresses. The right column shows the actual bytes in memory.
A simple single-step debugger allows you to step through code compiled from a source file. Here is a simple example:
Assuming this source has been compiled, you may type 4 DEBUG 5X to enter the single-step debug loop.
At each step, the source line is displayed with the next word to be stepped through highlighted. After this, the current data stack is displayed (in the familiar .S format) along with a prompt for the next step:
- Nest executes the next word, nesting if it is a call.
- Step executes the next word, with no nesting.
- Return executes to the end of the current (nested) definition without stopping.
- Finish executes to the end of the top-level definition without stopping.
SWOOP: Object-Oriented Forth Programming
SwiftForth includes a powerful object-oriented Forth programming package called SWOOP. SWOOP provides the essential features of object-oriented programming.
- Encapsulation: combining data and methods into a single package that responds to messages.
- Information hiding: the ability of an object to possess data and methods not accessible outside its class.
- Inheritance: the ability to define a new class based on a previously defined (parent) class. The new class automatically possesses all members of the parent; it may add to or replace these members, or define behaviors for deferred members.
- Polymorphism: the ability of different sub-classes of a class to respond to the same message in different ways. For example, adding a pair of scalars is different from adding a pair of vectors.
SwiftForth’s support of object-oriented programming is extensive and powerful. The following brief introductory information is excerpted from the SwiftForth Reference Manual.
POINT (defined below) is a simple class we shall use as a primary building-block example for SWOOP. It demonstrates two of the four basic class member types: data and colon. The word following CLASS is the name of the class; all definitions between CLASS and END-CLASS belong to it. These definitions are referred to as the members of the class. When a class name is executed, it leaves its handle (xt) on the stack. The constructor words are the primary consumers of this handle.
The class definition itself does not allocate any instance storage; it only records how much storage is required for each instance of the class. VARIABLE reserves a cell of space and associates it with a member name.
The colon members SHOW and DOT are like normal Forth colon definitions, but are only valid in the execution context of an object of type POINT. X and Y also behave exactly like normal VARIABLEs in the Forth programming language.
There are five kinds of members:
- Data members include all data definitions. Available data-member defining words include CREATE (normally followed by data compiled with , or C,), BUFFER: (an array whose length is specified in address units), VARIABLE, CVARIABLE (single char), or CONSTANTs.
- Colon members are definitions that may act on or use data members.
- Other previously defined objects, available within this object.
- Deferred members are colon-like definitions with default behaviors that can be referenced while defining the class, but which may have substitute behaviors defined by sub-classes defined later. These allow for polymorphism and late binding.
- Messages are unnamed responses to arbitrary numeric message values.
Objects may be static or dynamic. Both early and late binding are supported. Instance data and methods are implemented in a manner that is very efficient in the context of a Forth development environment.
Libraries, Functions, Callbacks, and Threads
Because SwiftForth was designed from the outset as a hosted system, great care has been given to make the interface to system and library functions as clean and easy to use as possible, given the inherent complexity of the OS environment.
Easy access to system functions via dynamic libraries
System functions in Windows, Linux, and macOSare provided to an application program via the dynamic library mechanism. SwiftForth supports a simple library function import mechanism that is based on the C function prototype.
Before referencing a function in a library, you must first open the library:
Any function in a library may be made available as a Forth word:
…where name is the (case-sensitive) published function name, params represents the list of paramters passed to the library function and the (optional) result is the returned value. Parameters are provided on the stack in the order described in the function prototype, so it’s easy to reference the function from a Forth program.
Both C-prototype and Pascal-prototype library functions may be called; SwiftForth passes the parameter stack to the external functions automatically. Functions with identical names from different libraries may be invoked without name collision via an alias mechanism. Lists of currently attached libraries and their imported functions may be displayed in the debug window at any time.
Here is an example of the import of the Windows global memory allocation function from Kernel32.dll:
This is the import of the Linux heap memory allocation function from libc:
The macOS version is nearly identical to the Linux one:
A callback is an entry point into your program. It is provided for the OS to call in certain circumstances to pass messages or signals to your program.
A callback is much like an interrupt in other programming environments, in that the code that responds to it is not executing as a sequential part of your application. In SwiftForth, callbacks are handled by a transient “task” with its own stacks and user area; it exists only for the duration of the callback function. Callbacks may execute any reentrant SwiftForth words, but may not directly communicate with the running program other than by storing data where the program may find it.
You may define a callback with any number of parameters, using the form:
Programming On Mac
…where xt is the execution token of the routine to respond to the callback, and n is the number of parameters passed to the callback.
A callback must always return a single integer result, which is used as the return value from the callback function. The defining word CB: wraps the execution of the xt with the necessary code to construct and discard the transient task environment in which the callback runs. Executing name returns the address to pass to the OS (e.g., as a message or signal handler).
Multitasking with threads
SwiftForth provides a simple facility for defining and activating tasks which are themselves threads within the SwiftForth program. A thread is similar to the background task of other Forth implementations in that it is given its own Forth stacks and user area and is executing code from within SwiftForth’s dictionary space.
IDE for Windows Programming
System messages are handled via a compiled switch mechanism, which can be easily extended to include any new messages that need to be handled. For example, this is the code to extend the standard existing Windows message handler SFMESSAGES to include keystroke events:
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Dialog boxes are supported via a simple dialog compiler, which parallels the Microsoft resource compiler. SwiftForth’s console debugging tool can be used to trace the execution of Windows dialog box code.
Making DLLs and exporting functions
In SwiftForth, it is a simple matter to create Windows DLLs with exported functions. A DLL made from SwiftForth contains the entire system. Any program capable of calling DLL-based functions may import the exported functions.
SwiftForth includes optional DDE client services, including a simple set of user words for sending or requesting data:
TELL sends a string to an item on the server and ASK gets an item from the server. For example:
Menu definition and execution
SwiftForth provides a simple means of defining menus and relating menu items to Forth words. The mechanism provides for context-sensitive item execution by the user, and is easily extensible by simply defining a Forth name that directly corresponds to the menu text. For example, the “Hello World” demo in the figure shown here includes File and About menus, defined by:
Behaviors may be attached using extensible switch structures. The menu items MI_EXIT and MI_ABOUT defined in the above popups may be assigned behaviors like this:
The code following the RUN: is an unnamed definition attached to the respective menu item. A named word that is already defined may also be attached by replacing RUN: with RUNS <name>.
Windows exceptions, which are caught by the standard exception filter, are trapped, logged, and generate a simple Forth THROW which the user can capture and handle. Errors during callbacks are also caught and handled.
SwiftForth Programming Language References
Windows API Reference
This portion of the MSDN Library contains essential resources for developing with Win32. Use the Search box to quickly find details for specific Win32 API calls.
Intel® 64 and IA-32 Architectures
Software Developer’s Manuals
Programming Language For Mac And Pc Windows 10
Intel® 64 and IA-32 Architectures Software Developer’s Manuals describe the architecture and programming environment of the Intel® 64 and IA-32 processors.