Buzztowns Blog

Buzztowns Blog

1604318264

An Introduction to Competitive Programming|Online Coding Classes

It’s also known as sport programming. It is highly supported by lots of multinational companies, such as Google and Facebook. There are several organizations that host programming competitions regularly.

#programming competitions #competitive programming

What is GEEK

Buddha Community

An Introduction to Competitive Programming|Online Coding Classes

Yashi Tyagi

1617449307

CA Classes - Best CA Classes Online

Chartered Accountancy course requires mental focus & discipline, coaching for CA Foundation, CA Inter and CA Finals are omnipresent, and some of the best faculty’s classes have moved online, in this blog, we are going to give the best way to find online videos lectures, various online websites provide the CA lectures, Smartnstudy one of the best site to CA preparation, here all faculty’s video lecture available.

check here : ca classes

#ca classes online #ca classes in delhi #ca classes app #ca pendrive classes #ca google drive classes #best ca classes online

13 Free/Low-Cost Sites to Supercharge Your Programming Self-Education

Noonies 2020 award nominee

johnnythecoder has been nominated for the Hacker Noon Contributor of the Year - LEARNING award!

** Add your vote**

Although we still talk about programming as a standalone career, the dominance of technology in our lives makes it clear that coding is much more than a career path. In my opinion, computer science is more than a college major or a high-paid job; it’s a skill, essential for thriving in a modern-day economy.

Whether you work in healthcare, marketing, business, or other fields, you will see more coding and have to deal with a growing number of technologies throughout your entire life.

Now that we live in a tech-driven world, asking “Should I learn to program” is almost synonymous with “Should I learn to speak, read, or count?”

The short answer is: yes.

How to start your journey in coding? The good news is there are plenty of resources to support you all the way through. To save you the trouble of looking them up and choosing the right ones, I created my list of learning platforms that offer well-rounded programming education and help you stay competitive on the job market.

Here are 12+ useful educational resources every coding student should check out.

1. Codegym

#learning-to-code #learn-to-code #coding #programming #programming-languages #free-programming-sites #self-improvement #learn-to-code-free-online

Buzztowns Blog

Buzztowns Blog

1604318264

An Introduction to Competitive Programming|Online Coding Classes

It’s also known as sport programming. It is highly supported by lots of multinational companies, such as Google and Facebook. There are several organizations that host programming competitions regularly.

#programming competitions #competitive programming

Wiley  Mayer

Wiley Mayer

1603897200

What Is Code Golfing And Biggest Such Tournaments


Code Golf is a game that is designed to let programmers show off their excellency in codes by solving problems in the least number of characters. The word “Golf” in code golfing refers to the popular game golf where two players compete with each other, and the one with the fewest club strokes wins.

Similar to the golf game, code golf is a competition where the winner achieves the specifications in the fewest keystrokes. It is basically a kind of recreational computer programming competition where the participants compete to achieve the shortest possible source code that implements a certain algorithm.

Code Golfing can be said as a classic playground for programmers where the main attempt is to solve a problem with the least number of characters. It is written in Go language, licensed under MIT and is available on GitHub.


Code Golf is free and supports various programming languages including Python, Haskell, JavaScript, Julia, Perl, Rust, Swift, Ruby and more. Currently, it provides a number of games including 12 days of Christmas, Abundant numbers, Fizz Buzz, 99 Bottles of Beer, Diamonds, Evil Numbers and much more. If you are playing for the first time, it has been suggested to start with a simple game, such as Fizz Buzz.

How Code Golfing Works

Below here, we listed general tips of Code Golf that are implemented in popular languages like

Python and others.

  1. Conditional Statement:

Original- if a<b:return a

else:return b

**Code Golf- **return(b,a)[a<b]

  1. AND Operators

Original- if a > 1 and b > 1 and 3 > a and 5 > b: foo()

Code Golf- if 3 > a > 1 < b < 5: foo()

  1. Multiple Statements

Original- while foo(a):

print a;a*=2

**Code Golf- *while foo(a):print a;a=2

  1. Replacing Append

**Original- **A.append(B)

**Code Golf- **A+=B,

  1. Ceil Value of a Real Number

**Original- **from math import ceil

n = 3/2

print(ceil(n))

Code Golf- n = 3/2

print(-(-n//1))

SEE ALSO

How Does The Score Work?

The score of your solution is the count of the Unicode characters in your source code. This means both “A” (U+0041 Latin Capital Letter A) and “” (U+1F609 Winking Face) cost the same despite the 1:4 ratio in byte count in UTF-8.

For each hole, the shortest solution is awarded 1,000 points, with the points decreasing in uniform decrements per rank. Your overall score is simply the sum of your points in each hole. Also, the execution time is limited to 5 seconds.


#developers corner #code golf #code golfing #coding #coding competition #programming #programming platforms

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