26 Tips and Tricks to Write Faster, Better-Optimized TypeScript Code

Optimize your TypeScript code using modern techniques, tips, and tricks

I always used to prefer something like a newspaper which give enough information in a shorter span of time. Here, I create tips for day to day Frontend development.

You might be doing angular development for a long time but sometimes you might be not updated with the newest features which can solve your issues without doing or writing some extra codes. This can cover some frequently asked Angular topics in interviews.

Here I am coming with a new series to cover some tips which helped me in my day-to-day coding.

• How to convert an array of objects to object with key-value pairs?
• How to Exclude property from type interface?
• How to import JSON file in TypeScript?
• How to convert a string to a number in TypeScript?
• Is there a way to check for both null and undefined in TypeScript?
• How to Enforce the type of the indexed members of a Typescript object?
• How can I create an object based on an interface file definition in TypeScript?
• How to remove whitespace from a string in typescript?
• How to ignore typescript errors with @ts-ignore?
• Is there a way to define a type for an array with unique items in typescript?
• How to read response headers from API response in TypeScript?
• How can I check whether an optional parameter was provided?
• How to restrict type with no properties from accepting strings or arrays?
• How to use Map in TypeScript?
• How to initialize Map from an array of key-value pairs?
• How to create an instance from the interface?
• How can I cast custom type to primitive type?
• How to add if else condition in the Observable?
• How to use a generic parameter as an object key?
• How to cast a JSON object to a TypeScript class?
• How to load external scripts dynamically in TypeScript?
• How to concatenate two or more string literal types to a single string literal type in TypeScript?
• How to make one string by combining string and number in Typescript?
• How to dynamically assign properties to an object in TypeScript?
• How to get the names of enum entries in TypeScript?
• How to write get and set in TypeScript?

#angular #react #typescript #web-development #javascript

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Buddha Community

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

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:

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., 7, Bob, 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

26 Tips and Tricks to Write Faster, Better-Optimized TypeScript Code

Optimize your TypeScript code using modern techniques, tips, and tricks

I always used to prefer something like a newspaper which give enough information in a shorter span of time. Here, I create tips for day to day Frontend development.

You might be doing angular development for a long time but sometimes you might be not updated with the newest features which can solve your issues without doing or writing some extra codes. This can cover some frequently asked Angular topics in interviews.

Here I am coming with a new series to cover some tips which helped me in my day-to-day coding.

• How to convert an array of objects to object with key-value pairs?
• How to Exclude property from type interface?
• How to import JSON file in TypeScript?
• How to convert a string to a number in TypeScript?
• Is there a way to check for both null and undefined in TypeScript?
• How to Enforce the type of the indexed members of a Typescript object?
• How can I create an object based on an interface file definition in TypeScript?
• How to remove whitespace from a string in typescript?
• How to ignore typescript errors with @ts-ignore?
• Is there a way to define a type for an array with unique items in typescript?
• How to read response headers from API response in TypeScript?
• How can I check whether an optional parameter was provided?
• How to restrict type with no properties from accepting strings or arrays?
• How to use Map in TypeScript?
• How to initialize Map from an array of key-value pairs?
• How to create an instance from the interface?
• How can I cast custom type to primitive type?
• How to add if else condition in the Observable?
• How to use a generic parameter as an object key?
• How to cast a JSON object to a TypeScript class?
• How to load external scripts dynamically in TypeScript?
• How to concatenate two or more string literal types to a single string literal type in TypeScript?
• How to make one string by combining string and number in Typescript?
• How to dynamically assign properties to an object in TypeScript?
• How to get the names of enum entries in TypeScript?
• How to write get and set in TypeScript?

#angular #react #typescript #web-development #javascript

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

Make Your Python Code Faster

I’m sure you heard a lot of people complaining that Python is so slow. I see people compare Python to C in the context of performance only, but they don’t compare in the context of fast development.

It is a dynamically-typed language meaning its variable types are not predefined, although, this is a double-edged sword as being dynamically-typed is what makes Python such an elegant language. So Python is a slower language to run, but faster to type.

Let’s look at some minor tips that could have a major impact on your overall code performance in the long run.

#optimization #slow #tips #coding #python #make your python code faster