Brennan  Veum

Brennan Veum

1625245320

Types of Programmers I Have Met, Their Strengths and Weaknesses

During these years working in the IT field, I went through companies where IT was not the main medium. These were companies whose software was complex and robust, companies that manufactured software, consulting companies that worked with the client, and, finally, companies of the typical startup.

In practically all of them, I found four profiles of programmers. Of course, the mere act of classifying can be flawed, as it is not uncommon for there to be intersections between sets. Characteristics of one type of programmer may also be present in another.

However, sorting can help identify which types of people are best recommended for which types of tasks, which points of improvement, and which paths are most natural in career advancement. So, with the exception, let’s play with putting developers in the infamous boxes.

#javascript

What is GEEK

Buddha Community

Types of Programmers I Have Met, Their Strengths and Weaknesses
Arvel  Parker

Arvel Parker

1593156510

Basic Data Types in Python | Python Web Development For Beginners

At the end of 2019, Python is one of the fastest-growing programming languages. More than 10% of developers have opted for Python development.

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.

Table of Contents  hide

I Mutable objects

II Immutable objects

III Built-in data types in Python

Mutable objects

The Size and declared value and its sequence of the object can able to be modified called mutable objects.

Mutable Data Types are list, dict, set, byte array

Immutable objects

The Size and declared value and its sequence of the object can able to be modified.

Immutable data types are int, float, complex, String, tuples, bytes, and frozen sets.

id() and type() is used to know the Identity and data type of the object

a**=25+**85j

type**(a)**

output**:<class’complex’>**

b**={1:10,2:“Pinky”****}**

id**(b)**

output**:**238989244168

Built-in data types in Python

a**=str(“Hello python world”)****#str**

b**=int(18)****#int**

c**=float(20482.5)****#float**

d**=complex(5+85j)****#complex**

e**=list((“python”,“fast”,“growing”,“in”,2018))****#list**

f**=tuple((“python”,“easy”,“learning”))****#tuple**

g**=range(10)****#range**

h**=dict(name=“Vidu”,age=36)****#dict**

i**=set((“python”,“fast”,“growing”,“in”,2018))****#set**

j**=frozenset((“python”,“fast”,“growing”,“in”,2018))****#frozenset**

k**=bool(18)****#bool**

l**=bytes(8)****#bytes**

m**=bytearray(8)****#bytearray**

n**=memoryview(bytes(18))****#memoryview**

Numbers (int,Float,Complex)

Numbers are stored in numeric Types. when a number is assigned to a variable, Python creates Number objects.

#signed interger

age**=**18

print**(age)**

Output**:**18

Python supports 3 types of numeric data.

int (signed integers like 20, 2, 225, etc.)

float (float is used to store floating-point numbers like 9.8, 3.1444, 89.52, etc.)

complex (complex numbers like 8.94j, 4.0 + 7.3j, etc.)

A complex number contains an ordered pair, i.e., a + ib where a and b denote the real and imaginary parts respectively).

String

The string can be represented as the sequence of characters in the quotation marks. In python, to define strings we can use single, double, or triple quotes.

# String Handling

‘Hello Python’

#single (') Quoted String

“Hello Python”

# Double (") Quoted String

“”“Hello Python”“”

‘’‘Hello Python’‘’

# triple (‘’') (“”") Quoted String

In python, string handling is a straightforward task, and python provides various built-in functions and operators for representing strings.

The operator “+” is used to concatenate strings and “*” is used to repeat the string.

“Hello”+“python”

output**:****‘Hello python’**

"python "*****2

'Output : Python python ’

#python web development #data types in python #list of all python data types #python data types #python datatypes #python types #python variable type

Abigail betty

Abigail betty

1623200400

Rich Programmer vs Poor Programmer

Ex-Google TechLead on the difference between rich programmers and poor programmers.
📺 The video in this post was made by TechLead
The origin of the article: https://www.youtube.com/watch?v=JBrX8b7ydeQ
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
(There is no limit to the amount of credit you can earn through referrals)
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#bitcoin #blockchain #rich programmer #poor programmer #rich programmer vs poor programmer

Abigail betty

Abigail betty

1623265200

How I Type REALLY Fast... (170+ Words Per Minute, ex-Google programmer)

Ex-Google TechLead on the art of typing fast.
📺 The video in this post was made by TechLead
The origin of the article: https://www.youtube.com/watch?v=sw_wIKdJoNI
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
(There is no limit to the amount of credit you can earn through referrals)
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#bitcoin #blockchain #how i type really fast #170+ words per minute, ex-google programmer #ex-google programmer

Brennan  Veum

Brennan Veum

1625245320

Types of Programmers I Have Met, Their Strengths and Weaknesses

During these years working in the IT field, I went through companies where IT was not the main medium. These were companies whose software was complex and robust, companies that manufactured software, consulting companies that worked with the client, and, finally, companies of the typical startup.

In practically all of them, I found four profiles of programmers. Of course, the mere act of classifying can be flawed, as it is not uncommon for there to be intersections between sets. Characteristics of one type of programmer may also be present in another.

However, sorting can help identify which types of people are best recommended for which types of tasks, which points of improvement, and which paths are most natural in career advancement. So, with the exception, let’s play with putting developers in the infamous boxes.

#javascript

Ray  Patel

Ray Patel

1623121920

Python typing and validation with mypy and pydantic.

Python is a dynamically typed programming language, which means the types are only checked at runtime and a variable is allowed to change its type over its lifetime, whereas a statically typed language like Java checks the types at compile-time, and a variable is not allowed to change its type over its lifetime. On the other hand, Python is a strongly typed language because the types cannot be automatically converted at runtime. For example, you cannot have an addition calculation on integer 1 and string "2", while in a weakly typed language such as JavaScript such calculation is allowed.

Even though dynamic typing can make it faster to write Python code in the development stage, it is also very easy to introduce bugs and errors which can only be identified at runtime. Besides, with no type definitions, the code can be more difficult to read and maintain. For example, you need to read through a function to get to know what type of data would be returned by it. However, with type hints or type annotations, the return type of a function can be known immediately. Once a program is developed, you would rarely need to rewrite or redesign it. However, it is much more common that you or your colleagues need to read or maintain it after some time. Therefore, making the code easier to read would be very important, especially if you work in a team where people have to review each other’s code.

Typing has become more and more important in Python and the type hint standards introduced in PEP484 make it possible and easy to add type annotations to your Python code. After type hints have been added to a Python file, the mypy library can be used to do static type checking before it is run. Besides, pydantic, a data validation library using Python type annotations, can enforce type hints at runtime and provide user-friendly errors when data is invalid.

#python #mypy #pydantic #typing #type-hints #python typing and validation with mypy and pydantic.