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To type something on your keyboard seems like a trivial daily task, right?
I believe that if you are serious about writing, programming, or even data science in general, it is very much on your interest to learn about touch-typing.
The short answer is: because it will make you think faster.
A study published in the Journal of Computer Assister Learning shows that the automaticity introduced by **_learning touch-typing improves mental flow _**by decreasing the amount of working-memory load required by certain intellectual activities.
Let’s start from the beginning.
When I first started doing research, I did not take typing speed very seriously. It seemed to me, on an intuitive level, that I could type quite fast and that my daily routine would naturally lead me to better typing performance.
Nope! Not the case at all.
Photo by NeONBRAND on Unsplash
A few months ago, I decided to test my performance at typing because I started feeling that I was making too many mistakes.
What I found was striking. Not only was I typing slowly, but I was also making so many errors that these were surely impacting my productivity without I ever realizing it.
So, upon my realization that I was a slow typist, I decided to use the typing-tutor tools available to learn how to type. After some quick online search, I settled on the following tools (not affiliated):
This tool is versatile (with a great free option) because it provides free samples of code to type on many programming-languages. The best part: the tool shows you which fingers to use on each character — effective online feedback.
10fastfingers
This is the general go-to tool for touch-typists. On the website, there are daily competitions where you can see your ranking. It is useful for a simple daily typing routine and to know where you stand in comparison to others.
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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
III Built-in data types in Python
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
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
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 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).
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 ’
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