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Why, ones like the "agreement between Activision Blizzard and Sony," that places "restrictions on the ability of Activision Blizzard to place COD titles on Game Pass for a number of years". It was apparently these kinds of agreements that Xbox's Phil Spencer had in mind opens in new tab when he spoke to Sony bosses in January and confirmed Microsoft's "intent to honor all existing agreements upon acquisition of Activision Blizzard".

Unfortunately, the footnote ends there, so there's not much in the way of detail about what these restrictions are or how long they'd remain in effect in a potential post-acquisition world.

Given COD's continued non-appearance on Game Pass, you've got to imagine the restrictions are fairly significant if they're not an outright block on COD coming to the service. Either way, the simple fact that Microsoft is apparently willing to maintain any restrictions on its own ability to put first-party games on Game Pass is rather remarkable, given that making Game Pass more appealing is one of the reasons for its acquisition spree.

The irony of Sony making deals like this one while fretting about COD's future on PlayStation probably isn't lost on Microsoft's lawyers, which is no doubt part of why they brought it up to the CMA.

While it's absolutely reasonable to worry about a world in which more and more properties are concentrated in the hands of singular, giant megacorps, it does look a bit odd if you're complaining about losing access to games while stopping them from joining competing services.

We'll find out if the CMA agrees when it completes its in-depth, "Phase 2" investigation opens in new tab into the Activision Blizzard acquisition, which is some way off yet. For now, we'll have to content ourselves with poring over these kinds of corporate submissions for more interesting tidbits like this one.

Sharing financial data across providers can enable a customer individual or business to have real-time access to multiple bank accounts across multiple institutions all in one platform, saving time and helping consumers get a more accurate picture of their own finances before taking on debt, providing a more reliable indication than most lending guidelines currently do. Companies can also create carefully refined marketing profiles and therefore, finely tune their services to the specific need.

Open Banking platforms like Klarna Kosma also provide a unique opportunity for businesses to overlay additional tools that add real value for users and deepen their customer relationships. The increased transparency brought about by Open Banking brings a vast array of additional benefits, such as helping fraud detection companies better monitor customer accounts and identify problems much earlier. The list of new value-add solutions continues to grow. The speed of business has never been faster than it is today.

For small business owners, time is at a premium as they are wearing multiple hats every day. Macroeconomic challenges like inflation and supply chain issues are making successful money and cash flow management even more challenging. This presents a tremendous opportunity that innovation in fintech can solve by speeding up money movement, increasing access to capital, and making it easier to manage business operations in a central place.

Fintech offers innovative products and services where outdated practices and processes offer limited options. For example, fintech is enabling increased access to capital for business owners from diverse and varying backgrounds by leveraging alternative data to evaluate creditworthiness and risk models. This can positively impact all types of business owners, but especially those underserved by traditional financial service models.

When we look across the Intuit QuickBooks platform and the overall fintech ecosystem, we see a variety of innovations fueled by AI and data science that are helping small businesses succeed.

By efficiently embedding and connecting financial services like banking, payments, and lending to help small businesses, we can reinvent how SMBs get paid and enable greater access to the vital funds they need at critical points in their journey. Overall, we see fintech as empowering people who have been left behind by antiquated financial systems, giving them real-time insights, tips, and tools they need to turn their financial dreams into a reality.

Innovations in payments and financial technologies have helped transform daily life for millions of people. People who are unbanked often rely on more expensive alternative financial products AFPs such as payday loans, money orders, and other expensive credit facilities that typically charge higher fees and interest rates, making it more likely that people have to dip into their savings to stay afloat. A few examples include:. Mobile wallets - The unbanked may not have traditional bank accounts but can have verified mobile wallet accounts for shopping and bill payments.

Their mobile wallet identity can be used to open a virtual bank account for secure and convenient online banking. Minimal to no-fee banking services - Fintech companies typically have much lower acquisition and operating costs than traditional financial institutions.

They are then able to pass on these savings in the form of no-fee or no-minimum-balance products to their customers. This enables immigrants and other populations that may be underbanked to move up the credit lifecycle to get additional forms of credit such as auto, home and education loans, etc.

Entrepreneurs from every background, in every part of the world, should be empowered to start and scale global businesses. Most businesses still face daunting challenges with very basic matters. These are still very manually intensive processes, and they are barriers to entrepreneurship in the form of paperwork, PDFs, faxes, and forms. Stripe is working to solve these rather mundane and boring challenges, almost always with an application programming interface that simplifies complex processes into a few clicks.

Stripe powers nearly half a million businesses in rural America. The internet economy is just beginning to make a real difference for businesses of all sizes in all kinds of places. We are excited about this future.

The way we make decisions on credit should be fair and inclusive and done in a way that takes into account a greater picture of a person.

Lenders can better serve their borrowers with more data and better math. Zest AI has successfully built a compliant, consistent, and equitable AI-automated underwriting technology that lenders can utilize to help make their credit decisions.

While artificial intelligence AI systems have been a tool historically used by sophisticated investors to maximize their returns, newer and more advanced AI systems will be the key innovation to democratize access to financial systems in the future. D espite privacy, ethics, and bias issues that remain to be resolved with AI systems, the good news is that as large r datasets become progressively easier to interconnect, AI and related natural language processing NLP technology innovations are increasingly able to equalize access.

T he even better news is that this democratization is taking multiple forms. AI can be used to provide risk assessments necessary to bank those under-served or denied access. AI systems can also retrieve troves of data not used in traditional credit reports, including personal cash flow, payment applications usage, on-time utility payments, and other data buried within large datasets, to create fair and more accurate risk assessments essential to obtain credit and other financial services.

By expanding credit availability to historically underserved communities, AI enables them to gain credit and build wealth. Additionally, personalized portfolio management will become available to more people with the implementation and advancement of AI.

Sophisticated financial advice and routine oversight, typically reserved for traditional investors, will allow individuals, including marginalized and low-income people, to maximize the value of their financial portfolios. Moreover, when coupled with NLP technologies, even greater democratization can result as inexperienced investors can interact with AI systems in plain English, while providing an easier interface to financial markets than existing execution tools.

Open finance technology enables millions of people to use the apps and services that they rely on to manage their financial lives — from overdraft protection, to money management, investing for retirement, or building credit. More than 8 in 10 Americans are now using digital finance tools powered by open finance. This is because consumers see something they like or want — a new choice, more options, or lower costs.

What is open finance? At its core, it is about putting consumers in control of their own data and allowing them to use it to get a better deal. When people can easily switch to another company and bring their financial history with them, that presents real competition to legacy services and forces everyone to improve, with positive results for consumers. For example, we see the impact this is having on large players being forced to drop overdraft fees or to compete to deliver products consumers want.

We see the benefits of open finance first hand at Plaid, as we support thousands of companies, from the biggest fintechs, to startups, to large and small banks.

All are building products that depend on one thing - consumers' ability to securely share their data to use different services. Open finance has supported more inclusive, competitive financial systems for consumers and small businesses in the U. and across the globe — and there is room to do much more. As an example, the National Consumer Law Consumer recently put out a new report that looked at consumers providing access to their bank account data so their rent payments could inform their mortgage underwriting and help build credit.

This is part of the promise of open finance. At Plaid, we believe a consumer should have a right to their own data, and agency over that data, no matter where it sits. This will be essential to securing benefits of open finance for consumers for many years to come. As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Donna Goodison dgoodison is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald.

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services. Both prongs of that are important. But cost-cutting is a reality for many customers given the worldwide economic turmoil, and AWS has seen an increase in customers looking to control their cloud spending.

By the way, they should be doing that all the time. The motivation's just a little bit higher in the current economic situation. This interview has been edited and condensed for clarity. Besides the sheer growth of AWS, what do you think has changed the most while you were at Tableau? Were you surprised by anything? The number of customers who are now deeply deployed on AWS, deployed in the cloud, in a way that's fundamental to their business and fundamental to their success surprised me.

There was a time years ago where there were not that many enterprise CEOs who were well-versed in the cloud. It's not just about deploying technology. The conversation that I most end up having with CEOs is about organizational transformation. It is about how they can put data at the center of their decision-making in a way that most organizations have never actually done in their history. And it's about using the cloud to innovate more quickly and to drive speed into their organizations.

Those are cultural characteristics, not technology characteristics, and those have organizational implications about how they organize and what teams they need to have. It turns out that while the technology is sophisticated, deploying the technology is arguably the lesser challenge compared with how do you mold and shape the organization to best take advantage of all the benefits that the cloud is providing. How has your experience at Tableau affected AWS and how you think about putting your stamp on AWS?

I, personally, have just spent almost five years deeply immersed in the world of data and analytics and business intelligence, and hopefully I learned something during that time about those topics. I'm able to bring back a real insider's view, if you will, about where that world is heading — data, analytics, databases, machine learning, and how all those things come together, and how you really need to view what's happening with data as an end-to-end story.

It's not about having a point solution for a database or an analytic service, it's really about understanding the flow of data from when it comes into your organization all the way through the other end, where people are collaborating and sharing and making decisions based on that data. AWS has tremendous resources devoted in all these areas. Can you talk about the intersection of data and machine learning and how you see that playing out in the next couple of years? What we're seeing is three areas really coming together: You've got databases, analytics capabilities, and machine learning, and it's sort of like a Venn diagram with a partial overlap of those three circles.

There are areas of each which are arguably still independent from each other, but there's a very large and a very powerful intersection of the three — to the point where we've actually organized inside of AWS around that and have a single leader for all of those areas to really help bring those together. There's so much data in the world, and the amount of it continues to explode.

We were saying that five years ago, and it's even more true today. The rate of growth is only accelerating. It's a huge opportunity and a huge problem. A lot of people are drowning in their data and don't know how to use it to make decisions. Other organizations have figured out how to use these very powerful technologies to really gain insights rapidly from their data.

What we're really trying to do is to look at that end-to-end journey of data and to build really compelling, powerful capabilities and services at each stop in that data journey and then…knit all that together with strong concepts like governance. By putting good governance in place about who has access to what data and where you want to be careful within those guardrails that you set up, you can then set people free to be creative and to explore all the data that's available to them.

AWS has more than services now. Have you hit the peak for that or can you sustain that growth? We're not done building yet, and I don't know when we ever will be. We continue to both release new services because customers need them and they ask us for them and, at the same time, we've put tremendous effort into adding new capabilities inside of the existing services that we've already built.

We don't just build a service and move on. Inside of each of our services — you can pick any example — we're just adding new capabilities all the time. One of our focuses now is to make sure that we're really helping customers to connect and integrate between our different services. So those kinds of capabilities — both building new services, deepening our feature set within existing services, and integrating across our services — are all really important areas that we'll continue to invest in.

Do customers still want those fundamental building blocks and to piece them together themselves, or do they just want AWS to take care of all that? There's no one-size-fits-all solution to what customers want.

It is interesting, and I will say somewhat surprising to me, how much basic capabilities, such as price performance of compute, are still absolutely vital to our customers. But it's absolutely vital. Part of that is because of the size of datasets and because of the machine learning capabilities which are now being created.

They require vast amounts of compute, but nobody will be able to do that compute unless we keep dramatically improving the price performance. We also absolutely have more and more customers who want to interact with AWS at a higher level of abstraction…more at the application layer or broader solutions, and we're putting a lot of energy, a lot of resources, into a number of higher-level solutions.

One of the biggest of those … is Amazon Connect, which is our contact center solution. In minutes or hours or days, you can be up and running with a contact center in the cloud. At the beginning of the pandemic, Barclays … sent all their agents home. In something like 10 days, they got 6, agents up and running on Amazon Connect so they could continue servicing their end customers with customer service. We've built a lot of sophisticated capabilities that are machine learning-based inside of Connect.

We can do call transcription, so that supervisors can help with training agents and services that extract meaning and themes out of those calls.

We don't talk about the primitive capabilities that power that, we just talk about the capabilities to transcribe calls and to extract meaning from the calls. It's really important that we provide solutions for customers at all levels of the stack. Given the economic challenges that customers are facing, how is AWS ensuring that enterprises are getting better returns on their cloud investments?

Now's the time to lean into the cloud more than ever, precisely because of the uncertainty. We saw it during the pandemic in early , and we're seeing it again now, which is, the benefits of the cloud only magnify in times of uncertainty.

For example, the one thing which many companies do in challenging economic times is to cut capital expense. For most companies, the cloud represents operating expense, not capital expense. You're not buying servers, you're basically paying per unit of time or unit of storage. That provides tremendous flexibility for many companies who just don't have the CapEx in their budgets to still be able to get important, innovation-driving projects done.

Another huge benefit of the cloud is the flexibility that it provides — the elasticity, the ability to dramatically raise or dramatically shrink the amount of resources that are consumed.

自定义博客皮肤 VIP专享. 最后的最后由本人水平所限，难免有错误以及不足之处， 屏幕前的靓仔靓女们 如有发现，恳请指出！你轻轻地点了个赞，那将在我的心里世界增添一颗明亮而耀眼的星！. Hook就是在这些流程任意环节插入自己的代码，让浏览器先执行自己的代码 然后再执行原本网站的hook在以下流程中可以做的事情：hook在以下流程中可以做的事情上下文:表示一个环境（js上下文就是v8引擎，浏览器是不同的页签就是不同的上下文，js中的eval还是在一个上下文。只是虚拟机、）作用域:控制变量所生效的位置。作用域是更小的一个级别 处于上下文中结果如下：解释器是如何处理这段代码：首先解释器知道var xuhss在内存中声明了一个全局变量数组保存了xuhss，以后用的话，就到这个数组中找。如果数. php请求里面获取的c第三个参数是js的crc版本数据校验值 是从get. Ws和Wss的区别相当于http和https的区别，如果你想写一个聊天页面，需要频繁请求后台接口 还需要设置间隔时间（每隔1s发送一个请求） 才能拿到后台服务器的数据，因为http是轮询方式，只有请求完成后，才能拿到结果，只有客户端能发请求，所以说 要轮询。缺点就是占用服务器的性能？更好的方案就是websocket，它是浏览器实现的。浏览器在底层升级http协议，从http协议升级到websocket只需要添加几个头部信息就可以完成升级。.

HTML5 的 canvas 元素使用 JavaScript 在网页上绘制图像。画布是一个矩形区域，您可以控制其每一像素。就是位图操作，可以理解为一个画图工具。可以任意对每个像素点进行任意操作之前讲解有一种断点类型叫做 事件监听断点，里面可以对canvas进行监听CanvasCreate canvas context 创建事件都选创建事件断点后，再刷页面断在这个地方：这里的代码用了流程平坦化打乱了最后的最后。. 将你的预期值和实际值进行比较，如果不一样，就是这种debugger 只能通过浏览器调用的堆栈区分出正确的逻辑。通过将editbreakpoint设置为false 可以禁用这个调试。通过hook方式，将运行的函数设为空就可以跳过debugger了。最好的方式就是不要被识别出来调试，可以通过下hook解决。非虚拟机的方式不会跳转 到一个vm的页面。在eval里面运行debugger. 我们的目的为了让js代码运行起来。可以不需要解密，将代码扣出来运行就可以。任何一个js类型的变量结果 加上一个字符串 ，只会变成字符串。所以这个调试起来很麻烦 只能单步调试 还是用解密工具解密。通过这种特性 可以组合成各种各样的加密方式。这个的原理就是将各种字符串加起来。2个值通过 运算会变成0或者1.

js默认 支持Unicode的。所以支持所有的国家语种。有没有哪些国家的和O很像但不是O,和0很像但不是0,和p很像但不是p所以可以用这个相近的符号进行代码混淆。. 能修改输出js运行当中的一些变量的值能下断点批量监听一些变量值当渲染时，样式发生改变，会触发DOM断点它一般在 用户触发了某个事件 时，段下来。执行的比较考前，距离加密函数比较远。所以无法根据栈去快速定位。它的优点时定位的比较准。清空Dom断点最后的最后由本人水平所限，难免有错误以及不足之处， 屏幕前的靓仔靓女们 如有发现，恳请指出！你轻轻地点了个赞，那将在我的心里世界增添一颗明亮而耀眼的星！.

通过本地运行js代码那 实现脱离浏览器后 能够实现和浏览器上运行加密js的效果。网站上完全都是JavaScript实现的加密，我们的目的要知道加密的整个过程，并且实现这个加密的过程，拿到和浏览器一样的加密的结果。得到加密的结果之后就可以跳过浏览器，本地直接给服务器发送加密数据，从而直接获取服务器响应的结果。. 页面中有很多事件，比如说鼠标按下，滚动条滑动。最后的最后由本人水平所限，难免有错误以及不足之处， 屏幕前的靓仔靓女们 如有发现，恳请指出！你轻轻地点了个赞，那将在我的心里世界增添一颗明亮而耀眼的星！.

日常的web自动化过程中，我们常常用python selenium库来操纵Chrome浏览器实现网页的自动化。这其中有个比较头疼的问题：Chrome的更新频率非常频繁，与之对应的Chromedriver版本也必须相应更新。如果两者版本的主版本号相差超过1，selenium则会报异常. 如何在实体手机上，保证手机能够正常运行uiautomator2，并安装ATX-agent。以小米手机为例子，首先打开 设置-更多设置-开启开发者模式。如果初始化完成后，发现手机并没有安装ATXagent应用。说明设备未认证（unauthorized），此时，当你看到这个，就说明手机安装成功了环境。需要记得，将 USB安装 勾选上。.

TA创建的收藏夹 TA关注的收藏夹. RGB颜色，例如： AFAFAF. 预览 取消 提交. 上一步 保存. 博客 资源 收藏 关注. 只看原创 排序： 按最后发布时间 按访问量 RSS订阅. 原创 Python量化交易实战教程汇总 B站配套视频教程观看设计适合自己并能适应市场的交易策略，才是量化交易的灵魂课程亲手带你设计并实现两种交易策略，快速培养你的策略思维能力择时策略：通过这个策略学会如何利用均线，创建择时策略，优化股票买入卖出的时间点。选股策略：掌握选股策略的核心逻辑，并基于收益率创建动量选股策略，并验证其有效性。手把手带你打造一个易扩展、更安全、效率更高的量化交易系统第三方平台大而全，不易扩展，效率还差，信息安全也是大问题，打造自己的交易平台才是更优解所有文章目录Python量化交易实战双均线策略股 原创 Js逆向教程AST Babel插件最简单修改值示例 最后的最后由本人水平所限，难免有错误以及不足之处， 屏幕前的靓仔靓女们 如有发现，恳请指出！你轻轻地点了个赞，那将在我的心里世界增添一颗明亮而耀眼的星！ 原创 Js逆向教程vscode无环境联调 最后的最后由本人水平所限，难免有错误以及不足之处， 屏幕前的靓仔靓女们 如有发现，恳请指出！你轻轻地点了个赞，那将在我的心里世界增添一颗明亮而耀眼的星！ 原创 Js逆向教程Hook基础 Hook就是在这些流程任意环节插入自己的代码，让浏览器先执行自己的代码 然后再执行原本网站的hook在以下流程中可以做的事情：hook在以下流程中可以做的事情上下文:表示一个环境（js上下文就是v8引擎，浏览器是不同的页签就是不同的上下文，js中的eval还是在一个上下文。只是虚拟机、）作用域:控制变量所生效的位置。作用域是更小的一个级别 处于上下文中结果如下：解释器是如何处理这段代码：首先解释器知道var xuhss在内存中声明了一个全局变量数组保存了xuhss，以后用的话，就到这个数组中找。如果数 php请求 原创 Js逆向教程websocket介绍 Ws和Wss的区别相当于http和https的区别，如果你想写一个聊天页面，需要频繁请求后台接口 还需要设置间隔时间（每隔1s发送一个请求） 才能拿到后台服务器的数据，因为http是轮询方式，只有请求完成后，才能拿到结果，只有客户端能发请求，所以说 要轮询。缺点就是占用服务器的性能？更好的方案就是websocket，它是浏览器实现的。浏览器在底层升级http协议，从http协议升级到websocket只需要添加几个头部信息就可以完成升级。 1.

原创 Js逆向教程极验滑块 实现加密算法的逻辑 还是和上节课一样，针对这个网址。 原创 Js逆向教程极验滑块 找到w加密位置 最后的最后由本人水平所限，难免有错误以及不足之处， 屏幕前的靓仔靓女们 如有发现，恳请指出！你轻轻地点了个赞，那将在我的心里世界增添一颗明亮而耀眼的星！ 原创 Js逆向教程滑块流程 极验 HTML5 的 canvas 元素使用 JavaScript 在网页上绘制图像。画布是一个矩形区域，您可以控制其每一像素。就是位图操作，可以理解为一个画图工具。可以任意对每个像素点进行任意操作之前讲解有一种断点类型叫做 事件监听断点，里面可以对canvas进行监听CanvasCreate canvas context 创建事件都选创建事件断点后，再刷页面断在这个地方：这里的代码用了流程平坦化打乱了最后的最后。 原创 Js逆向教程反调试 将你的预期值和实际值进行比较，如果不一样，就是这种debugger 只能通过浏览器调用的堆栈区分出正确的逻辑。通过将editbreakpoint设置为false 可以禁用这个调试。通过hook方式，将运行的函数设为空就可以跳过debugger了。最好的方式就是不要被识别出来调试，可以通过下hook解决。非虚拟机的方式不会跳转 到一个vm的页面。在eval里面运行debugger.

原创 Js逆向教程FuckJs 我们的目的为了让js代码运行起来。可以不需要解密，将代码扣出来运行就可以。任何一个js类型的变量结果 加上一个字符串 ，只会变成字符串。所以这个调试起来很麻烦 只能单步调试 还是用解密工具解密。通过这种特性 可以组合成各种各样的加密方式。这个的原理就是将各种字符串加起来。2个值通过 运算会变成0或者1. jsfuck有对应的解密工具及。我们这里只是讲解js的混淆机制。可以看到只有这3种字符。 原创 Js逆向教程常见混淆AA和JJ js默认 支持Unicode的。所以支持所有的国家语种。有没有哪些国家的和O很像但不是O,和0很像但不是0,和p很像但不是p所以可以用这个相近的符号进行代码混淆。 原创 Js逆向教程常见代码混淆 最后的最后由本人水平所限，难免有错误以及不足之处， 屏幕前的靓仔靓女们 如有发现，恳请指出！你轻轻地点了个赞，那将在我的心里世界增添一颗明亮而耀眼的星！ 原创 Js逆向教程常见的加密方式 最后的最后由本人水平所限，难免有错误以及不足之处， 屏幕前的靓仔靓女们 如有发现，恳请指出！你轻轻地点了个赞，那将在我的心里世界增添一颗明亮而耀眼的星！ 原创 Js逆向教程跟值技巧 一般不会出现在jquery成熟的第3仓库里面。jquery是封装好的成熟的第3仓库，一般不会去修改它。因为如果jquery版本提升了，还要去改jquery。 原创 Js逆向教程方法栈 最后的最后由本人水平所限，难免有错误以及不足之处， 屏幕前的靓仔靓女们 如有发现，恳请指出！你轻轻地点了个赞，那将在我的心里世界增添一颗明亮而耀眼的星！ 原创 Js逆向教程js逆向断点的种类及介绍 能修改输出js运行当中的一些变量的值能下断点批量监听一些变量值当渲染时，样式发生改变，会触发DOM断点它一般在 用户触发了某个事件 时，段下来。执行的比较考前，距离加密函数比较远。所以无法根据栈去快速定位。它的优点时定位的比较准。清空Dom断点最后的最后由本人水平所限，难免有错误以及不足之处， 屏幕前的靓仔靓女们 如有发现，恳请指出！你轻轻地点了个赞，那将在我的心里世界增添一颗明亮而耀眼的星！ 原创 Js逆向教程明确js逆向的目标 通过本地运行js代码那 实现脱离浏览器后 能够实现和浏览器上运行加密js的效果。网站上完全都是JavaScript实现的加密，我们的目的要知道加密的整个过程，并且实现这个加密的过程，拿到和浏览器一样的加密的结果。得到加密的结果之后就可以跳过浏览器，本地直接给服务器发送加密数据，从而直接获取服务器响应的结果。 原创 Js逆向教程浏览器调试工具-Application页面 本地网站应用缓存页面。 原创 Js逆向教程浏览器调试工具-Source面板 切换到source面板，对于source面板，需要打开搜索面板才能发挥出完整的功能。 原创 Js逆向教程浏览器调试工具-Network面板 最后的最后由本人水平所限，难免有错误以及不足之处， 屏幕前的靓仔靓女们 如有发现，恳请指出！你轻轻地点了个赞，那将在我的心里世界增添一颗明亮而耀眼的星！ 原创 Js逆向教程浏览器调试工具-可视化的Elements 页面中有很多事件，比如说鼠标按下，滚动条滑动。最后的最后由本人水平所限，难免有错误以及不足之处， 屏幕前的靓仔靓女们 如有发现，恳请指出！你轻轻地点了个赞，那将在我的心里世界增添一颗明亮而耀眼的星！ 原创 python一招自动搞定Chromedriver爬虫驱动的更新 日常的web自动化过程中，我们常常用python selenium库来操纵Chrome浏览器实现网页的自动化。这其中有个比较头疼的问题：Chrome的更新频率非常频繁，与之对应的Chromedriver版本也必须相应更新。如果两者版本的主版本号相差超过1，selenium则会报异常.

那有没有好的办法解决这个问题呢？方法当然有，首先我们需要知道哪里可以下载到不同版本的文件。这里推荐两个网站，国内首选淘宝的镜像仓库：数据更新会比谷歌官方稍慢；可供下载的版本有时不全； 原创 如何安装MockingBird-AI拟声: 5秒内克隆您的声音并生成任意语音内容 作者：虚坏叔叔早餐店不会开到晚上，想吃的人早就来了！😄。 原创 Quasar — 免费开源的Windows远程管理工具 适用于Windows的免费开源远程控制管理工具Quasar是一种用C＃编码的快速轻量级远程管理工具。可用于管理工作到员工监控等。Quasar提供高稳定性和易用的用户界面，是您理想的远程控制管理解决方案。 原创 AutoJs4. 原创 将你的 Python 脚本转换为命令行程序 哈喽，大家好，今天给大家介绍一下，如何通过Python自动整理文件。 原创 如何通过Python自动整理文件？ 哈喽，大家好，今天给大家介绍一下，如何通过Python自动整理文件。 原创 如何用python自动化微信小程序 本文介绍了整个微信小程序的自动化过程。我已经将全部源码上传到后台上，关注文章底部公众号后回复「kja」即可获得。你的肯定是我最大的鼓励和支持。 2.

原创 如何在实体手机上，保证手机能够正常运行uiautomator2，并安装ATX-agent 如何在实体手机上，保证手机能够正常运行uiautomator2，并安装ATX-agent。以小米手机为例子，首先打开 设置-更多设置-开启开发者模式。如果初始化完成后，发现手机并没有安装ATXagent应用。说明设备未认证（unauthorized），此时，当你看到这个，就说明手机安装成功了环境。需要记得，将 USB安装 勾选上。 原创 address localhost is already in use（端口被占用）Windows系统问题解决 在学习编程的过程中，我们或许会遇到端口被占用的情况，因而导致程序启动不了。这种情况只需要找到占用端口的进程，然后在中关闭改进程即可解决问题。后面补加的图。 原创 mitmproxy的介绍以及配置过程中的问题 提示：以下是本篇文章正文内容，下面案例可供参考。 FinalShell 中文安装包 FinalShell 一款可以替代XShell 的ssh 客户端软件，不仅是 ssh 客户端软件，还是功能强大的开发及运维的工具。可以满足我们的工作需求 主要特性:.

net版本问题: 检查是否安装. reres chrome插件v1. app自动化课程的简介和介绍 app自动化课程的简介和介绍. windows 生成RSA公钥和私钥openssl. exe工具 1、打开 openssl. 多线程解决mfc对话框未响应、卡死问题 多线程解决mfc对话框未响应、卡死问题. 爆款少儿青少年scratch编程第4课：狮子钻火圈 可以直接运行。A53课程制作 爆款爆款少儿青少年scratch编程是包括教程制作完整课程，里面包括教学步骤，教学视频，教学素材，教学课件pdf，教学课件word，课程源码。课程内容大致如下所示：资源:. 爆款少儿青少年scratch编程第5课：熊熊吃什么 可以直接运行。A53课程制作 爆款爆款少儿青少年scratch编程是包括教程制作完整课程，里面包括教学步骤，教学视频，教学素材，教学课件pdf，教学课件word，课程源码。课程内容大致如下所示：资源:. 爆款少儿青少年scratch编程第18课：7的倍数（下） 可以直接运行。A53课程制作 爆款爆款少儿青少年scratch编程是包括教程制作完整课程，里面包括教学步骤，教学视频，教学素材，教学课件pdf，教学课件word，课程源码。课程内容大致如下所示：资源:.

爆款少儿青少年scratch编程第24课：阶段实战测试 可以直接运行。A53课程制作 爆款爆款少儿青少年scratch编程是包括教程制作完整课程，里面包括教学步骤，教学视频，教学素材，教学课件pdf，教学课件word，课程源码。课程内容大致如下所示：资源:. 爆款少儿青少年scratch编程第15课：寿司回家（上） 可以直接运行。A53课程制作 爆款爆款少儿青少年scratch编程是包括教程制作完整课程，里面包括教学步骤，教学视频，教学素材，教学课件pdf，教学课件word，课程源码。课程内容大致如下所示：资源:. 爆款少儿青少年scratch编程第11课：钓鱼大作战 可以直接运行。A53课程制作 爆款爆款少儿青少年scratch编程是包括教程制作完整课程，里面包括教学步骤，教学视频，教学素材，教学课件pdf，教学课件word，课程源码。课程内容大致如下所示：资源:.

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