Dylan  Hahn

Dylan Hahn

1630795200

How to Easily Design and Code, Article Card Component in Adobe XD

In this two-part tutorial, I’ll show you how to easily design and code, these clean, minimal, article card components in Adobe XD.

#adobexd 

What is GEEK

Buddha Community

How to Easily Design and Code, Article Card Component in Adobe XD

Adobe XD plugin for Flutter with CodePen Tutorial

Recently Adobe XD releases a new version of the plugin that you can use to export designs directly into flutter widgets or screens. Yes, you read it right, now you can make and export your favorite design in Adobe XD and export all the design in the widget form or as a full-screen design, this can save you a lot of time required in designing.

What we will do?
I will make a simple design of a dialogue box with a card design with text over it as shown below. After you complete this exercise you can experiment with the UI. You can make your own components or import UI kits available with the Adobe XD.

#developers #flutter #adobe xd design export to flutter #adobe xd flutter code #adobe xd flutter code generator - plugin #adobe xd flutter plugin #adobe xd flutter plugin tutorial #adobe xd plugins #adobe xd to flutter #adobe xd tutorial #codepen for flutter.

Landscapes Website Design | Nature Landscapes Website Designer

Most landscapers think of their website as an online brochure. In reality of consumers have admitted to judging a company’s credibility based on their web design, making your website a virtual sales rep capable of generating massive amounts of leads and sales. If your website isn’t actively increasing leads and new landscaping contracts, it may be time for a redesign.

DataIT Solutions specializes in landscape website designing that are not only beautiful but also rank well in search engine results and convert your visitors into customers. We’ve specialized in the landscaping industry for over 10 years, and we look at your business from an owner’s perspective.

Why use our Landscapes for your landscape design?

  • Superior experience
  • Friendly personal service
  • Choice of design layout
  • Budget sensitive designs
  • Impartial product choice and advice
  • Planting and lighting designs

Want to talk about your website?
If you are a gardener or have a gardening company please do not hesitate to contact us for a quote.
Need help with your website?
Get in touch

#nature landscapes website design #landscapes website design #website design #website designing #website designer #designer

Tyrique  Littel

Tyrique Littel

1604008800

Static Code Analysis: What It Is? How to Use It?

Static code analysis refers to the technique of approximating the runtime behavior of a program. In other words, it is the process of predicting the output of a program without actually executing it.

Lately, however, the term “Static Code Analysis” is more commonly used to refer to one of the applications of this technique rather than the technique itself — program comprehension — understanding the program and detecting issues in it (anything from syntax errors to type mismatches, performance hogs likely bugs, security loopholes, etc.). This is the usage we’d be referring to throughout this post.

“The refinement of techniques for the prompt discovery of error serves as well as any other as a hallmark of what we mean by science.”

  • J. Robert Oppenheimer

Outline

We cover a lot of ground in this post. The aim is to build an understanding of static code analysis and to equip you with the basic theory, and the right tools so that you can write analyzers on your own.

We start our journey with laying down the essential parts of the pipeline which a compiler follows to understand what a piece of code does. We learn where to tap points in this pipeline to plug in our analyzers and extract meaningful information. In the latter half, we get our feet wet, and write four such static analyzers, completely from scratch, in Python.

Note that although the ideas here are discussed in light of Python, static code analyzers across all programming languages are carved out along similar lines. We chose Python because of the availability of an easy to use ast module, and wide adoption of the language itself.

How does it all work?

Before a computer can finally “understand” and execute a piece of code, it goes through a series of complicated transformations:

static analysis workflow

As you can see in the diagram (go ahead, zoom it!), the static analyzers feed on the output of these stages. To be able to better understand the static analysis techniques, let’s look at each of these steps in some more detail:

Scanning

The first thing that a compiler does when trying to understand a piece of code is to break it down into smaller chunks, also known as tokens. Tokens are akin to what words are in a language.

A token might consist of either a single character, like (, or literals (like integers, strings, e.g., 7Bob, etc.), or reserved keywords of that language (e.g, def in Python). Characters which do not contribute towards the semantics of a program, like trailing whitespace, comments, etc. are often discarded by the scanner.

Python provides the tokenize module in its standard library to let you play around with tokens:

Python

1

import io

2

import tokenize

3

4

code = b"color = input('Enter your favourite color: ')"

5

6

for token in tokenize.tokenize(io.BytesIO(code).readline):

7

    print(token)

Python

1

TokenInfo(type=62 (ENCODING),  string='utf-8')

2

TokenInfo(type=1  (NAME),      string='color')

3

TokenInfo(type=54 (OP),        string='=')

4

TokenInfo(type=1  (NAME),      string='input')

5

TokenInfo(type=54 (OP),        string='(')

6

TokenInfo(type=3  (STRING),    string="'Enter your favourite color: '")

7

TokenInfo(type=54 (OP),        string=')')

8

TokenInfo(type=4  (NEWLINE),   string='')

9

TokenInfo(type=0  (ENDMARKER), string='')

(Note that for the sake of readability, I’ve omitted a few columns from the result above — metadata like starting index, ending index, a copy of the line on which a token occurs, etc.)

#code quality #code review #static analysis #static code analysis #code analysis #static analysis tools #code review tips #static code analyzer #static code analysis tool #static analyzer

Loma  Baumbach

Loma Baumbach

1599707640

Critical Adobe Flaws Allow Attackers to Run JavaScript in Browsers

Adobe has released fixes addressing five critical flaws in its popular Experience Manager content-management solution for building websites, mobile apps and forms. The cross-site scripting (XSS) flaws could allow attackers to execute JavaScript in targets’ browsers.

Including Adobe Experience Manager, Adobe fixed 18 flaws as part of its regularly scheduled September updates. It also addressed flaws in Adobe Framemaker, its document-processor designed for writing and editing large or complex documents; and InDesign, its desktop publishing and typesetting software application.

“The impact of any exploitation of these vulnerabilities, no matter their criticality, could open any organization up to the release of private information, easy lateral movement through a network, or the hijacking of critical information all due to the heavy use of these tools in marketing and its unfettered access to critical information,” said Richard Melick, senior technical product manager at Automox, in an email. “It is important to patch these vulnerabilities as soon as possible.”

Threatpost Webinar Promo Bug Bounty

Click to Register

Adobe patched 11 bugs overall in its Experience Manager; five of those are rated critical severity, and the rest are “important” severity. The critical flaws are all XSS glitches (CVE-2020-9732, CVE-2020-9742, CVE-2020-9741, CVE-2020-9740 and CVE-2020-9734).

“Successful exploitation of these vulnerabilities could result in arbitrary JavaScript execution in the browser,” according to Adobe.

The five important-severity flaws include an issue allowing for execution with unnecessary privileges, leading to sensitive information disclosure (CVE-2020-9733), four cross site scripting flaws (CVE-2020-9735, CVE-2020-9736, CVE-2020-9737, CVE-2020-9738) and an HTML injection glitch (CVE-2020-9743) allowing arbitrary HTML injection in the browser.

Below is a list of affected product solutions; fixes are available in version 6.5.6.0 and version 6.4.8.2 (as well as AEM Forms Service Pack 6 for AEM forms add-on users).

adobe experience manager

The update for Adobe Experience Manager received a “priority 2,” meaning it resolves flaws in a product that has “historically been at elevated risk” – but for which there is no known exploits.

“Based on previous experience, we do not anticipate exploits are imminent. As a best practice, Adobe recommends administrators install the update soon (for example, within 30 days),” according to Adobe.

#vulnerabilities #web security #adobe #adobe bug #adobe experience manager #adobe framemaker #adobe indesign #adobe patch #browser attack #critical flaw #cross site scripting #html injection flaw #information disclosure #javascript #patch tuesday #xss

Juned Ghanchi

1621315250

Designing Mobile Apps using the latest UI Design Principles

The mobile technology world is growing at the speed of light, and the apps have become an integral part of our daily life. We can now see an influx of technology with tools that can help create mobile apps. All of them are becoming more accessible and hence people are getting on their first app making journeys. Since the mobile app industry is getting bigger and better than ever, businesses from all corners of the world are trying to develop mobile apps for their operations and marketing. Designing a mobile app for businesses is the first step, though. Company owners are in charge of the basic look and feel of the designed product. With a brilliant mobile app design, one can establish a relationship between app and user very well.

Read Blog Here: https://www.indianappdevelopers.com/blog/designing-mobile-apps-using-latest-ui-design-principles/

#designing mobile apps #ui design principles #mobile ui design #mobile app design #ui design #app design