12 Useful NPM Tips and Tricks for More Productive JavaScript Coding

NPM, Node Package Manager, is the package manager for the JavaScript programming language. Any developer who is working with Javascript has used this wonderful CLI tool to install the dependencies for their project.

In this article, I will be sharing NPM tips and tricks that can boost your productivity and let you use NPM in a smarter and more efficient way.

  1. Initialize your package
  2. Install a package from other sources
  3. Clean install your package dependencies
  4. Use shortcuts to install packages
  5. NPM scripts
  6. Quickly navigate to package docs
  7. Removes duplicate packages
  8. Scan your application for vulnerabilities
  9. Check our environment
  10. Test your packages locally
  11. Check outdated packages
  12. List all the installed packages

#npm #node #javascript #web-development #developer

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12 Useful NPM Tips and Tricks for More Productive JavaScript Coding
Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

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

12 Useful NPM Tips and Tricks for More Productive JavaScript Coding

NPM, Node Package Manager, is the package manager for the JavaScript programming language. Any developer who is working with Javascript has used this wonderful CLI tool to install the dependencies for their project.

In this article, I will be sharing NPM tips and tricks that can boost your productivity and let you use NPM in a smarter and more efficient way.

  1. Initialize your package
  2. Install a package from other sources
  3. Clean install your package dependencies
  4. Use shortcuts to install packages
  5. NPM scripts
  6. Quickly navigate to package docs
  7. Removes duplicate packages
  8. Scan your application for vulnerabilities
  9. Check our environment
  10. Test your packages locally
  11. Check outdated packages
  12. List all the installed packages

#npm #node #javascript #web-development #developer

Giles  Goodwin

Giles Goodwin

1603857900

4 Ways You Can Get Rid of Dirty Side Effects for Cleaner Code in JavaScript

According to an analysis, a developer creates 70 bugs per 1000 lines of code on average. As a result, he spends 75% of his time on debugging. So sad!

Bugs are born in many ways. Creating side effects is one of them.

Some people say side effects are evil, some say they’re not.

I’m in the first group. Side effects should be considered evil. And we should aim for side effects free code.

Here are 4ways you can use to achieve the goal.

1. use strict;

Just add use strict; to the beginning of your files. This special string will turn your code validation on and prevent you from using variables without declaring them first.

#functional-programming #javascript-tips #clean-code #coding #javascript-development #javascript

Shany  Jenkins

Shany Jenkins

1614000180

5 Useful JavaScript Tips to Speed Up Your Coding

Introduction

JavaScript is one of the powerful programming languages in software development. You can do many things with it such as web apps, mobile apps, games, or even AI and machine learning. You just need to be good at it because every year new useful features are being released in ES versions. However, as a developer, you also need to be fast at writing code because you will have more other tasks that are important than just writing code.

In this article, we will discover some useful JavaScript tips or techniques to speed up your coding. Let’s get right into it.

1. Type conversion

In JavaScript, to convert a string to a number, we use the method parseInt() . But there is also an easy way to do that without using parseInt.

We can achieve the same result just by using the unary operator + at the beginning of the string.

Have a look at the examples below:

Normal way:

let age = "23";
console.log(typeof age); //string
console.log(typeof parseInt(age)); //number

Easy way:

let age = "23";
console.log(typeof age); //string
console.log(typeof +age); //number

You can also convert a number to a string just by concatenating the number with an empty string.

Here is an example:

let age = 19 + "";

console.log(typeof age); //string

As you can see, you can easily convert a number to a string with this technique.

#javascript #javascript-tips #coding