Make Billions On The App Store - iPhone Dev Tools 101

•

5 likes•1,177 views

You might be motivated to get into iPhone development to make the next million dollar fart app, OR you might be like me and want to create great apps that you want to use. This is a hands-on introduction of the development tools used to build iPhone/iPad applications. I will cover Xcode, Interface Builder, iPhone Simulator, and Instruments, while building a small iPhone app demonstrating some of the capabilities of the platform. Prerequisites: some programming experience (not specifically Objective-C, I won't be focusing on syntactic sugar), and a desire to learn something new. Recommended: A Mac running the iPhone Xcode SDK will help if you want to follow along.

Technology

Make Billions on the
App Store
iPhone Development Tools 101
Podcamp Toronto 2010

Mark Pavlidis
mark@pavlidis.ca
http://twitter.com/mhp

Motivation

• >3 Billion downloads

• 25% Paid apps

Motivation

• >3 Billion downloads

• 25% Paid apps

• 50+ Million devices

Motivation

• >3 Billion downloads

• 25% Paid apps

• 50+ Million devices

• OR

Motivation

• >3 Billion downloads

• 25% Paid apps

• 50+ Million devices

• OR

• Build apps you want to use

RTFM

• Theres a doc for that!
• Help - Developer Documentation
• HIG (please please please)
• http://developer.apple.com/iphone/

Getting Started Books

Programming in Cocoa Programming For
Objective-C 2.0 Mac OS X
Stephen Kochan Aaron Hillegass

More Information

Mark Pavlidis
@mhp
mark@pavlidis.ca
http://spkr8.com/t/2114

Viewers also liked

Old Greece

clopypaste

Life Can Be Hard

clopypaste

Core Image

Mark Pavlidis

Normativas del iva

Universidad Dr. Rafael Belloso Chacín

WordCamp Lancaster - Choosing WordPress Themes and Plugins

ryanduff

This study aimed to quantitatively synthesize the literature on gender differences in mental rotation ability in order to characterize the typical magnitude of the differences and their variations across studies. Since a series of studies led by Lubinski and Benbow has reported a critical role of spatial ability as a predictor of successful performance and developing expertise in science, technology, engineering, and mathematics (STEM) disciplines (e.g., Wai, Lubinski, Benbow, 2009), the value of spatial ability seems to be refreshed in STEM education more than ever. Since the early stages of research on spatial ability (Carroll, 1993; Eliot, 1987; Harris, 1978), studies on mental rotation ability, one sub-type of spatial ability, tend to provide consistent evidence for gender differences favoring males (Linn & Petersen, 1985; Voyer, Voyer, & Bryden, 1995). While the trend seems evident, the magnitude of the effect varies across studies with different populations and settings. In addition, the causes of the observed gender differences in mental rotation ability are not clarified yet (Masters, 1998; Moè, 2009). However, the literature suggests that the observed gender differences in mental rotation ability can be explained by at least five distinguishable factors: biological, strategic, experiential, affective, and performance. Among those five factors, we focused on performance factors to understand whether gender differences observed in scores are true or are due to the artifacts of the testing conditions. Specifically, we focused on the gender difference in three-dimensional mental rotation ability measured by The Purdue Spatial Visualization Tests: Visualization of Rotations (PSVT:R) (Guay, 1976), which has been prevalently used in STEM education for more than three decades. Addressed research questions are as follows: (a) What is the typical effect size of gender differences in mental rotation ability measured by the PSVT:R?; (b) To what extent do effect sizes vary across studies?; and (c) How do effect sizes differ by the types of the test, length of the test, time limits, administration modes, education levels, and participants’ majors? Fifty-four effect sizes obtained from 35 out of 153 studies that utilized PSVT:R were included in the meta-analysis. This study revealed that the PSVT:R has a significant gender difference favoring males with the weighted average of Cohen’s d=0.63, indicating a relatively large gender difference in spatial ability scores. The chi-square test of homogeneity (Q statistics) (Hedges, & Olkin, 1985) of effect sizes rejected the null hypothesis, implying that true effect sizes do vary across studies. Thus, additional analyses investigating moderating effects with random-effects models were warranted. Based on the descriptive results, testing conditions and sample and study characteristics were used as possible moderators in a multilevel model for a meta-analysis. Through this analysis, conclusions were made for each research question and followed by the discussion including implications in practice and suggestions for future research.

Chartering Factors that may contribute to Gender Differences in Spatial Abili...

ADVANCE-Purdue

The goals of this research study are to better understand the choices women in chemistry make with regards to career, to identify rewards and obstacles associated with available career choices in chemistry, and to compare graduate students’ perceptions of careers with the descriptions of women in those careers. Ten women graduate students in chemistry from two different institutions participated in a series of three interviews with the researcher. These interviews examined their chosen career path, their perceptions of available career options, their values about work-personal life balance, and their experiences as women in a graduate chemistry program. Women faculty members were also interviewed and asked to reflect on their career choices and provide insight into their lifestyle as academic chemists. Ten faculty members were interviewed, six from three different research-intensive universities and four from three different primarily undergraduate teaching institutions. All interviews were transcribed verbatim and subsequently analyzed using the qualitative methods of thematic analysis and the constant comparative method (Miles & Huberman, 1994). Preliminary analysis shows that women graduate students have negative perceptions of the research professor lifestyle at large universities. They feel there is little to no balance between work and personal life. Careers at primarily undergraduate teaching schools, at government labs, and in industry were viewed much more favorably. These findings add a depth of understanding to the numerous studies showing women’s tendency to favor academic careers at teaching institutions over research institutions (see Bentley & Adamson, 2003; Kuck, Marzabadi, Nolan, & Buckner, 2004; Kulis, Sicotte, & Collins, 2002; Sears, 2003). Women faculty members at large research institutions report deciding on their careers fairly early on in their graduate studies. They pursued this path even though they recognized the challenges associated with this career. Their primary motivation for continuing in their career was the intellectual freedom they experienced, followed by being able to work with students and help them develop into independent researchers. In contrast, the faculty members from smaller teaching institutions felt rewarded and fulfilled by teaching and working with students, rather than through chemical research. They valued the flexibility of their schedules and the ownership they had over their teaching and the research they did with undergraduates. The findings from this study offer suggestions for future interventions with graduate students, as well as faculty recruitment at research-intensive institutions. Women graduate students felt that women faculty in their department were not positive role models with respect to balancing a career with a family. They also did not see or value the intellectual freedom associated with this career or the rewards of working as an advisor to graduate students. Candid conversations or mentoring relationships outside of the advisor-advisee dynamic could shed insight into what life is really like as a faculty member at these institutions. Hiring and benefits packages at research institutions could also be modified with the addition of family-friendly benefits and policies, including maternity leave, on-site childcare, flexible tenure clocks, and clear departmental expectations for work schedules, to appeal to more women.

Understanding Women's Career Choices in Chemistry. By Megan Grunert and Georg...

ADVANCE-Purdue

Productivity 101: Making a Easily Re-deployable Dev Environment with Subversion

ryanduff

Women have earned 40% of Ph.D.s in STEM disciplines in the U.S., yet their representation in academic STEM faculty and administrative positions has not wholly reflected this distribution (Hoffer, 2007; NSF, 2007): Women constitute on average only 20% of the faculty in fields related to science, technology, engineering and mathematics (NSF, 2000) a number which did not change proportionally to the degrees earned. In education fields in which the representation of women is traditionally much higher, an interesting conundrum exists: (1) Whereas men typically dominate technology fields, educational technology/instructional technology appears to be a field that has incorporated women more successfully than other STEM domains. (2) Technology education on the other side serves as a stark contrast as a K-12 oriented field that is noted for being male-dominated (Liedtke, 1995; Zuga, 1998). The fields of educational technology and technology education have arisen out of differing socio-historical and cultural contexts, which appear to have impacted the gender parity of each domain differently. This research study will explore the characteristics of graduate programs in Educational Technology/Instructional Technology as compared to Technology Education and explore the relationship of these characteristics to gender parity. Results of this study provide insight into strategies other fields might employ to increase participation of women. Through an evaluation of departmental characteristics such as highest degree offered and gender composition of faculty, we will present statistical data to demonstrate the gender parity/disparity in the academic domain in these two areas. Faculty gender composition can be a pivotal factor in a field’s ability to attract and retain a diverse student body due to role-model effect (Rask & Bailey, 2002). A content analysis of program descriptions and the prerequisite academic preparation and work experience to enter instructional technology versus technology education programs will be explored, as prerequisites (Klein, 2007) are another noted academic barrier to gender equity. This data will be contextualized in a historical analysis of the roots of these two similar, yet disparate, areas of study. While educational technology /instructional technology arose out of audio-visual education and school media, as well as programmed instruction, technology education arose out of the industrial arts tradition (Foster, 1994; O'Riley, 1996). Today, both fields are preoccupied with the concept of technological literacy and are dominated by the use of computer applications in a variety of contexts. As highly skilled educators are needed to model high level problem-solving and critical thinking skills through their use of technology, whether the field is technology education or educational technology, this analysis will offer insight into the cultural-historical perspectives that resulted in different gender parity, and recommend strategies for attracting women across technology-oriented domains.

Technology Education and Educational Technology – Two Fields, Very Different ...

ADVANCE-Purdue

Registros diarios, modelo 2

Universidad Dr. Rafael Belloso Chacín

Appdxs1 2

Universidad Dr. Rafael Belloso Chacín

Viewers also liked (11)

Old Greece

Life Can Be Hard

Core Image

Normativas del iva

WordCamp Lancaster - Choosing WordPress Themes and Plugins

Chartering Factors that may contribute to Gender Differences in Spatial Abili...

Understanding Women's Career Choices in Chemistry. By Megan Grunert and Georg...

Productivity 101: Making a Easily Re-deployable Dev Environment with Subversion

Technology Education and Educational Technology – Two Fields, Very Different ...

Registros diarios, modelo 2

Appdxs1 2

Recently uploaded

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Civil Lines Women Seeking Men

Delhi Call girls

What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

What Are The Drone Anti-jamming Systems Technology?

Antenna Manufacturer Coco

In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

Earley Information Science

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

Automating Google Workspace (GWS) & more with Apps Script

wesley chun

What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

HampshireHUG

Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

Enterprise Knowledge

Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

UK Journal

How to Troubleshoot Apps for the Modern Connected Worker

ThousandEyes

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Principled Technologies

CNv6 Instructor Chapter 6 Quality of Service

giselly40

08448380779 Call Girls In Greater Kailash - I Women Seeking Men

Delhi Call girls

Advantages of Hiring UIUX Design Service Providers for Your Business

Pixlogix Infotech

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Slack Application Development 101 Slides

praypatel2

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

Microsoft's Threat Matrix for Kubernetes helps organizations understand the attack surface a Kubernetes deployment introduces to their environments. This ensures that adequate detections and mitigations are in place. By covering over 40 different attacker techniques, defenders can learn about Kubernetes-specific mitigations and controls to deploy to their environments. In this session, we will explore the MS-TA9013 Host Path Mount technique, which is commonly used by attackers to perform privilege escalation in a Kubernetes cluster. Attendees will learn how attackers and defenders can: * Escape the container's host volume mount to gain persistence on an underlying node * Move laterally from the underlying node into the customer's cloud environment * Analyze Kubernetes audit logs to detect pods deployed with a hostPath mount * Deploy an admission controller that prevents new pods from using a hostPath mount

Breaking the Kubernetes Kill Chain: Host Path Mount

Puma Security, LLC

[2024]Digital Global Overview Report 2024 Meltwater.pdf

hans926745

Recently uploaded (20)

Exploring the Future Potential of AI-Enabled Smartphone Processors

Data Cloud, More than a CDP by Matt Robison

08448380779 Call Girls In Civil Lines Women Seeking Men

What Are The Drone Anti-jamming Systems Technology?

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

Axa Assurance Maroc - Insurer Innovation Award 2024

Automating Google Workspace (GWS) & more with Apps Script

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

How to Troubleshoot Apps for the Modern Connected Worker

Boost PC performance: How more available memory can improve productivity

CNv6 Instructor Chapter 6 Quality of Service

08448380779 Call Girls In Greater Kailash - I Women Seeking Men

Advantages of Hiring UIUX Design Service Providers for Your Business

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Slack Application Development 101 Slides

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Breaking the Kubernetes Kill Chain: Host Path Mount

[2024]Digital Global Overview Report 2024 Meltwater.pdf

Make Billions On The App Store - iPhone Dev Tools 101

1. Make Billions on the App Store iPhone Development Tools 101 Podcamp Toronto 2010 Mark Pavlidis mark@pavlidis.ca http://twitter.com/mhp

2. Motivation

3. Motivation • >3 Billion downloads

4. Motivation • >3 Billion downloads • 25% Paid apps

5. Motivation • >3 Billion downloads • 25% Paid apps • 50+ Million devices

6. Motivation • >3 Billion downloads • 25% Paid apps • 50+ Million devices • OR

7. Motivation • >3 Billion downloads • 25% Paid apps • 50+ Million devices • OR • Build apps you want to use

8. iPhone SDK

9. iPhone SDK

10. iPhone SDK

11. iPhone SDK

12. iPhone SDK

13. iPhone SDK

14. iPhone SDK

15. iPhone SDK

16. Demo Time

17. Demo Time One more thing

18. RTFM • Theres a doc for that! • Help - Developer Documentation • HIG (please please please) • http://developer.apple.com/iphone/

19. RTFM • Theres a doc for that! • Help - Developer Documentation • HIG (please please please) • http://developer.apple.com/iphone/

20. Getting Started Books Programming in Cocoa Programming For Objective-C 2.0 Mac OS X Stephen Kochan Aaron Hillegass

21. Show me your code already!

22. More Information Mark Pavlidis @mhp mark@pavlidis.ca http://spkr8.com/t/2114

Editor's Notes

Shout out to Mark and Andrea watching on the video stream Thoughts are with you Been dev&#x2019;ing for iphone since the sdk dropped Claims to fame: - Toronto Traffic, et.al.: first traffic cams app - Shortcovers/Kobo - Twitter client in alpha
So maybe you here of this little thing called the App Store [click] > 3B downloads [click] 25% of those are paid apps averaging $3 [click] on > 50 Million devices worldwide [click] OR YOU CAN BE LIKE ME [click] and drop out of school and build apps you want to use (sorry dr. down)
So maybe you here of this little thing called the App Store [click] > 3B downloads [click] 25% of those are paid apps averaging $3 [click] on > 50 Million devices worldwide [click] OR YOU CAN BE LIKE ME [click] and drop out of school and build apps you want to use (sorry dr. down)
So maybe you here of this little thing called the App Store [click] > 3B downloads [click] 25% of those are paid apps averaging $3 [click] on > 50 Million devices worldwide [click] OR YOU CAN BE LIKE ME [click] and drop out of school and build apps you want to use (sorry dr. down)
So maybe you here of this little thing called the App Store [click] > 3B downloads [click] 25% of those are paid apps averaging $3 [click] on > 50 Million devices worldwide [click] OR YOU CAN BE LIKE ME [click] and drop out of school and build apps you want to use (sorry dr. down)
So maybe you here of this little thing called the App Store [click] > 3B downloads [click] 25% of those are paid apps averaging $3 [click] on > 50 Million devices worldwide [click] OR YOU CAN BE LIKE ME [click] and drop out of school and build apps you want to use (sorry dr. down)
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data
Xcode Apple&#x2019;s IDE for building OS X, iPhone OS, Mac apps, iPhone Apps 3 SDK releases - Mac, iPhone, iPad app develpment (>2GB downloads) Interface Builder Prototyping and Implementation Tool - Graphically layout your interfaces - connect your interface to your code Iphone simulator Rapid prototyping and deployment iPhone API implementation on Intel hardware (not a hardware emulator) Instruments Performance analysis Tool Built with DTrace Object allocation, Memory management, file access, graphics - Versatile performance profiling - Powerful analysis - Fully understand the context of your data

Make Billions On The App Store - iPhone Dev Tools 101

Recommended

Recommended

More Related Content

Viewers also liked

Viewers also liked (11)

Recently uploaded

Recently uploaded (20)

Make Billions On The App Store - iPhone Dev Tools 101

Editor's Notes