Swift编程：儿童版iPhone应用开发入门

iphone
development
swift
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"Coding iPhone apps for kids - A playful introduction to Swift" 本书《Coding iPhone apps for kids》由Gloria Winquist和Matt McCarthy合著，旨在为儿童提供一个轻松有趣的方式，学习如何使用Swift语言开发iPhone应用程序。这本书适合初学者，特别是对编程感兴趣的年轻读者，通过阅读可以快速入门Swift开发。 Swift是苹果公司推出的一种强大且易学的编程语言，用于构建iOS、iPadOS、macOS、watchOS和tvOS的应用程序。本书将引导孩子们理解编程的基本概念，如变量、条件语句、循环和函数，并逐步介绍如何在Xcode环境下创建实际的iPhone应用。 书中包含了许多生动的插图，由Keiko Satoh主创，还有Max Burger的额外插图，这些视觉元素使学习过程更加吸引人，帮助孩子更好地理解和记忆编程概念。此外，专业开发人员Mark H. Granoff作为技术审阅者，确保了内容的准确性和实用性。 在本书中，读者将学习如何使用Swift语言的特性，比如Playgrounds，这是一个互动的学习工具，允许开发者实时看到代码的效果。此外，还会涉及用户界面设计、事件处理和数据存储等关键主题，这些都是构建iPhone应用所必需的技能。 读者将跟随书中的步骤，逐步构建自己的小应用，从而实现从理论到实践的转化。这种动手实践的方法不仅让学习过程更具趣味性，也有助于巩固所学知识。通过这种方式，孩子们不仅能掌握编程技能，还能培养解决问题和逻辑思维的能力。 《Coding iPhone apps for kids》是一本优秀的教育资源，它将复杂的编程概念转化为易于理解的互动体验，鼓励孩子们通过乐趣和探索来掌握Swift编程，为他们未来的科技之路打下坚实的基础。对于想要让孩子接触编程或已经对编程感兴趣的家长和教师，这是一本不可多得的参考书籍。

coding-for-kids

2021-05-08 上传
关于编码儿童和尖叫的胡萝卜 这是参考表，您可以在其中找到有关我的有关编码儿童和尖叫的胡萝卜（JSConf 2018）的更多信息。 它包括我的幻灯片，我的灵感来源，一个链接列表和本次演讲的建议。 滑梯 您可以在找到PDF格式的幻灯片。 文件包含通过Mac OSX应用程序显示的markdown格式的完整演示文稿 临时项目可在上或从下载 灵感 我读了很多书，以使我对整个编码儿童话题感到直言不讳。 内燃机 内燃机比较的想法来自 汽车修理工与编码器 来源是这篇文章，似乎由Jeff Atwood引用。 接触技术 我关于编码与技术的整体论文的灵感来自在精彩阅读 消费者与生产者 我读了Rushkoff的《编程或编程》和Marina Umaschi Bers的《在操场上编码》这两个书，他们都提到生产者与消费者的方法，这让我大开眼界，小时候整天都挂在智能手机前是怎么回事。 尖叫的胡萝卜 MakeyMake

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You need to design and implement a project with following functionalities: a) a function called ‘cal-area (double radius)’ to calculate area of a circle. b) a function called ‘cal-area (double side-len)’ to calculate area of a square. c) a main function to input two values for these two functions, and output which function is called and the area result. Requirement: setup a project in the coding software and create three files (a .h file, two .cpp files). Need to illustrate the design of your project and display the code.

2023-02-18 上传
我可以为你设计和实现一个项目，具有以下功能：a）一个名为“cal-area（double radius）”的函数，用于计算圆的面积。b）一个名为“cal-area（double side-len）”的函数，用于计算正方形的面积。c）一个主函数，...

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2023-06-01 上传
The Alibaba Java coding guidelines recommend using...Overall, using `WriteCommandAction` is a best practice for modifying documents in IntelliJ IDEA, as recommended by the Alibaba Java coding guidelines.

A = imread('krabi1.bmp','BMP'); %read in the image A_shrunk = imresize(A,0.2); % we’ll reduce the resolution, as otherwise the file size is too large imshow(A_shrunk) % displays the shrunken image Bs = reshape(A_shrunk,[388*518*3,1,1]); % resizes this image from a pixel array of three colours to a one-dimensional data stream C = de2bi(double(Bs)); % converts these values to binary representation % You can then resize this array to a linear, one-dimensional array. % this data stream C is then what you can communicate over your channel. % recover the image from the binary sequence BS_rec = uint8(bi2de(C)); % convert bits to pixel values. A_rec = reshape(BS_rec,[388,518,3]); % reshape back to a coloured pixel array. imshow(A_rec) % display the recovered image. Explore the pskmod and pskdemod commands in MATLAB. Use these to modulate and demodulate the binary sequence into a binary PSK signal. (Hint: the command should be something like D = pskmod(C,2). Display a part of this signal, and explain carefully how we have represented this signal in MATLAB, and how it differs from the analysis we performed in Part A. Transmit this signal through an AWGN channel using the awgn() function for a range of signal to noise ratios. Demodulate and comment on the effect of the noise on the image. A suitable range of signal to noise ratios is –0.5dB to 5 dB. The bit error rate refers to the fraction of bits that are received in error. This can also be interpreted as the probability that a bit is received in error. Calculate the bit error rate (BER) for the signal to noise ratios you used above. Comment on the correlation between BER and perceptual image quality. Now apply channel coding to the transmitted data sequence. Use encode(msg,7,4,’hamming’), encode(msg,15,7,’bch’), and convenc, following the example listed in the help window (recall, in MATLAB type “help convenc” to obtain the help information for that command. For each of these codes, study how the code can reduce the BER and improve image quality for each SNR you studied above.

2023-06-10 上传
for i = 1:length(snr) noisy_D = awgn(D, snr(i), 'measured'); rec_C = pskdemod(noisy_D, 2); ber(i) = biterr(C, rec_C) / length(C); end semilogy(snr, ber); ``` 8. 应用通道编码 使用`encode`函数对二...
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