Tyrique  Littel

Tyrique Littel

1597752000

Call for Code Daily: Grillo, and how your code can help

developer

The power of Call for Code® is in the global community that we have built around this major #TechforGood initiative. Whether it is the deployments that are underway across pivotal projects, developers leveraging the starter kits in the cloud, or ecosystem partners joining the fight, everyone has a story to tell. Call for Code Daily highlights all the amazing #TechforGood stories taking place around the world. Every day, you can count on us to share these stories with you. Check out the stories from the week of August 10th:

Coders from Colombia give people a lifeline in crisis

One of the first challenges of a severe weather event is often a loss of electricity and communication systems. Damaged infrastructure cannot be repaired until it is safe to do so, leaving people in the dark and out of reach for emergency response services. Finding a way to bring people online to send out distress signals could help locate injured people and save lives.

Grillo’s earthquake early-warning system is now a supported open source project

When you are in the strike zone of an impending earthquake, every second matters. Whether it is that extra second to round up your loved ones, stabilize your surroundings, or find a place of safety — time is the most valuable commodity. Meet Grillo, a crowd-sourced alarm system that can give people that valuable time before an earthquake hits.

Persistent Systems’ award-winning CALMH provides mental health resources to communities in crisis

The typical priority for governments during natural disasters is saving lives and removing people from danger. So it’s no surprise that emergency response focuses on physical safety and security. But the trauma of natural disasters also causes significant harm to mental health, leaving many survivors vulnerable to complex issues such as post-traumatic stress, depression and anxiety.

Jupyter notebooks help data scientists and policy makers analyze real-time COVID-19 data

Using developer-friendly Jupyter notebooks, the toolkits are designed as a way to kickstart in-depth analysis. For instance, a user could analyze county-level data in the US to find correlations between poverty levels and infection rates.

#iot #code daily #code

What is GEEK

Buddha Community

Call for Code Daily: Grillo, and how your code can help
Tyrique  Littel

Tyrique Littel

1597752000

Call for Code Daily: Grillo, and how your code can help

developer

The power of Call for Code® is in the global community that we have built around this major #TechforGood initiative. Whether it is the deployments that are underway across pivotal projects, developers leveraging the starter kits in the cloud, or ecosystem partners joining the fight, everyone has a story to tell. Call for Code Daily highlights all the amazing #TechforGood stories taking place around the world. Every day, you can count on us to share these stories with you. Check out the stories from the week of August 10th:

Coders from Colombia give people a lifeline in crisis

One of the first challenges of a severe weather event is often a loss of electricity and communication systems. Damaged infrastructure cannot be repaired until it is safe to do so, leaving people in the dark and out of reach for emergency response services. Finding a way to bring people online to send out distress signals could help locate injured people and save lives.

Grillo’s earthquake early-warning system is now a supported open source project

When you are in the strike zone of an impending earthquake, every second matters. Whether it is that extra second to round up your loved ones, stabilize your surroundings, or find a place of safety — time is the most valuable commodity. Meet Grillo, a crowd-sourced alarm system that can give people that valuable time before an earthquake hits.

Persistent Systems’ award-winning CALMH provides mental health resources to communities in crisis

The typical priority for governments during natural disasters is saving lives and removing people from danger. So it’s no surprise that emergency response focuses on physical safety and security. But the trauma of natural disasters also causes significant harm to mental health, leaving many survivors vulnerable to complex issues such as post-traumatic stress, depression and anxiety.

Jupyter notebooks help data scientists and policy makers analyze real-time COVID-19 data

Using developer-friendly Jupyter notebooks, the toolkits are designed as a way to kickstart in-depth analysis. For instance, a user could analyze county-level data in the US to find correlations between poverty levels and infection rates.

#iot #code daily #code

Ava Watson

Ava Watson

1600254169

Here Is How Coding Assignment Help Is The Next Big Thing!!

Everything today has become about coding. Like any other language, educators have been changing the pedagogic approach to include this in the curriculum irrespective of what the pupil follows afterwards. Students are also looking for avenues for guidance and coding assignment help.
With the unbridled inclusion of technology, coding has become inevitable and a necessary hazard. Schools have been looking for novel solutions for revamping the learning process and make coding more natural.
Now, the question is why learning coding has become so important? The answer is equally surprising and intriguing. Approximately, 70% of the jobs for coding are outside the domain of technology. So, it is complimenting every subject that could be pursued professionally. This is why everyone wants the best coding assignment help online in Australia.
Experts from a leading assignment writing service gave all the reasons in the world to learn to code. let us find these out!

Interesting facts about coding

  1. Ada Lovelace was an English mathematician who worked on the analytical engine of Charles Babbage in the 19th century. She was the first programmer.
  2. Coding assignment help is needed more now as all the professions need programmers.
  3. The first computer virus was coded in the year 1983 and the first video game in 1961.
  4. A loophole in code is known as a bug which is inspired by an interesting anecdote. Grace Hopper coined this term in the year 1947.
  5. The first programming language FORTRAN or FORmula TRANsalation was developed by IBM.
  6. Among 700 different programming languages, JavaScript is favored most.
  7. Every electrical device is coded to obtain functionality.
  8. The computer understands binary codes. It means that their code is written in One and Zero.
  9. Most of the programming languages follow a similar set of rules. Therefore, anyone who has mastered one can easily learn a new one.
  10. Learning to code in the formative years comes with a bundle of benefits like:-
    • Better cognitive development
    • Enhanced problem-solving
    • Quick computational skills
    • Sophisticated analytical approach
    • Enhanced creativity
    • Better inter-personal skills
    Experts providing coding assignment help have revealed that studies show that after one and a half decades, every second job in Australia will require coding as a necessary skill. Moreover, the gaming industry has surpassed the movie-making industry as a potential job-creating prospect for coders. To overcome any hurdle, you can always find coding assignment help online in Australia!!

#coding #coding assignment help #coding assignment #do my coding assignment #coding assignment help online

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

Tyrique  Littel

Tyrique Littel

1604016000

Embold Is Like Autocorrect For Code, Says Vishal Rai, Founder & CEO

In our digital world, software is king. In a world so heavily dependent on software, poor code quality can result in grave consequence, from billions of dollars in lost revenue, to even fatal accidents. Here’s where Embold comes in—a static code analysis product aimed at empowering developers to do their best work.

Embold is a general-purpose static code analyser that has been designed for developers to analyse and improve their code by identifying issues across four dimensions, including design and duplication. We, at Analytics India Magazine, spoke to founder and CEO, Vishal Rai, to understand how Embold can detect anti-patterns in code for seamless integration.

Embold started a decade ago, with the vision of creating a product that can revolutionise the way developers write and design code. According to Vishal Rai, the idea was to develop a tool for software engineers and developers to write code faster and of better quality. And, after a time of extensive research and development, Vishal Rai, along with his partner Sudarshan Bhide launched their product in 2018.


Play

“We have noticed an interesting trend — as teams started becoming bigger, the issues in software started increasing as well and it was very frustrating when you were on programs which weren’t achieving their stated goals because of poor quality,” said Rai. “And that’s where we saw the opportunity of helping companies to write the product as great as Google or Apple and decided to reinvent software analytics.”

Embold — Empowering Developers to Reach Their Highest Potential

Developers always undergo immense pressure of building their products faster at the best quality possible, and such pressure can lead to compromised code quality. This impact of one line of code or one weak link can create significant issues and can massively affect the entire company. And that is why Rai believes that developers need support in being more productive. With Embold, Vishal and Sudharshan brought in a technology that can help developers be more efficient in their work and make the process of software development easy. Explaining the technology, Rai compared it with “autocorrect for code.” He said, “If you look at the legacy tools, they were built for the waterfall model, aka linear-sequential life cycle model, where one release took six months which gave enough time to test the tools. But in the current time, everything is fast, and thus developers require tools that can help them work fast and give them feedback that can be easily implemented in their workflow.” And that’s where Embold’s platform fits into the workflow that helps them find problems and maintain their code.  As a matter of fact, Rai acknowledges that there have been many great tools, already in the market, but all of them have been created for great engineers. However, today, not every engineer is necessarily as experienced as others, and in such cases, it is imperative to make tools that are easy to use and help developers analyse their software. “Embold has been built for the future, the technologies that we have ingrained have neural networks, state-of-the-art in-memory databases and analysers that are far more evolved than legacy tools,” said Rai. “Embold has been created to enable people who aren’t as skilled to write better codes. Not only it fills the skills gap but also brings the new age developers closer to the best developers on the planet.”


#featured #bugs and errors in code #embold a autocorrect for code #embold find bugs and errors in code #embold for developers #embold help developers #embold maintains code quality #embold revolutionise writing code #static code analyser

Samanta  Moore

Samanta Moore

1621137960

Guidelines for Java Code Reviews

Get a jump-start on your next code review session with this list.

Having another pair of eyes scan your code is always useful and helps you spot mistakes before you break production. You need not be an expert to review someone’s code. Some experience with the programming language and a review checklist should help you get started. We’ve put together a list of things you should keep in mind when you’re reviewing Java code. Read on!

1. Follow Java Code Conventions

2. Replace Imperative Code With Lambdas and Streams

3. Beware of the NullPointerException

4. Directly Assigning References From Client Code to a Field

5. Handle Exceptions With Care

#java #code quality #java tutorial #code analysis #code reviews #code review tips #code analysis tools #java tutorial for beginners #java code review