1587112920

The Python asinh function is one of the Python Math function, which calculates the Trigonometric Hyperbolic Arc Sine for the specified expression or number. The Python asinh function also called the inverse of hyperbolic sine.

Note: math.asinh() method accepts only numbers, if we provide anything else except the number, it returns error TypeError – “TypeError: a float is required”.

```
math.asinh(x)
```

`x`

– is the number whose hyperbolic arc sine to be calculated.

- It returns the hyperbolic arc sine value of the number in the float datatype.

If the number argument is the positive or negative number, the asinh() function returns the hyperbolic arcsine value. If it is not the number, the asinh() functions return TypeError.

```
x = 1.5
# function call
print(math.asinh(x))
```

**Output:**

```
1.1947632172871094
```

Write a program to show the working of the asinh() method in Python.

```
import math
a1 = 3.5
b1 = 1
c1 = 7
d1 = 5.3
print("Value for parameter ", a1, " is ", math.asinh(a1))
print("Value for parameter ", b1, " is ", math.asinh(b1))
print("Value for parameter ", c1, " is ", math.asinh(c1))
print("Value for parameter ", d1, " is ", math.asinh(d1))
```

**Output:**

```
Value for parameter 3.5 is 1.9657204716496515
Value for parameter 1 is 0.8813735870195429
Value for parameter 7 is 2.644120761058629
Value for parameter 5.3 is 2.3696374478085054
```

In this example, we have seen that bypassing the valid parameter which is different for different examples, we get the desired asinh() method solution, which is the hyperbolic sine value of the parameter.

Write the program to pass a value out of range from the asinh() Function and display the output.

```
import math
q = "H"
print(math.asinh(q))
```

**Output:**

```
TypeError: must be real number, not str
```

In this example, we’ve seen that by passing a parameter which is not of number type, the Function throws an error.

In the asinh() function, we are going to find Hyperbolic ArcSine values of different data types like Python list and tuple to display the output.

```
import math
Tup = (21, 11, 30, -40, 50)
Lis = [-25, 35, -42.5, -55.85, 25.84]
print("Python Hyperbolic ArcSine of Positive Number = %.2f" % math.asinh(21))
print("Python Hyperbolic ArcSine of Negative Number = %.2f" % math.asinh(-11))
print("Python Hyperbolic ArcSine of Tuple Item = %.2f" % math.asinh(Tup[3]))
print("Python Hyperbolic ArcSine of List Item = %.2f" % math.asinh(Lis[2]))
print("Python Hyperbolic ArcSine of Multiple Numbers = %.2f" %
math.asinh(22 + 49 - 27))
print("Python Hyperbolic Arc Sine of String Value = ", math.asinh('Morioh'))
```

**Output**

```
python3 app.py
Python Hyperbolic ArcSine of Positive Number = 3.74
Python Hyperbolic ArcSine of Negative Number = -3.09
Python Hyperbolic ArcSine of Tuple Item = -4.38
Python Hyperbolic ArcSine of List Item = -4.44
Python Hyperbolic ArcSine of Multiple Numbers = 4.48
Traceback (most recent call last):
File "app.py", line 15, in <module>
print("Python Hyperbolic Arc Sine of String Value = ", math.asinh('Morioh'))
TypeError: must be real number, not str
```

First, we used the asinh() Function directly on both the Positive integer and negative integer.

The following statements find the hyperbolic arcsine of the corresponding values.

Next, we used the asinh() function on Tuple and List items. If you observe the above screenshot, the asinh() function is working correctly on them.

Thanks for reading !

#python

1619518440

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

…

#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

1619510796

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

**Lambda function in python**: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

**Syntax: x = lambda arguments : expression**

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

1597751700

Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc…

You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like * init, call, str* etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).

Now there are a number of such special methods, which you might have come across too, in Python. We will just be taking an example of a few of them to understand how they work and how we can use them.

```
class AnyClass:
def __init__():
print("Init called on its own")
obj = AnyClass()
```

The first example is _**init**, _and as the name suggests, it is used for initializing objects. Init method is called on its own, ie. whenever an object is created for the class, the **init** method is called on its own.

The output of the above code will be given below. Note how we did not call the init method and it got invoked as we created an object for class AnyClass.

```
Init called on its own
```

Let’s move to some other example, * add* gives us the ability to access the built in syntax feature of the character +. Let’s see how,

```
class AnyClass:
def __init__(self, var):
self.some_var = var
def __add__(self, other_obj):
print("Calling the add method")
return self.some_var + other_obj.some_var
obj1 = AnyClass(5)
obj2 = AnyClass(6)
obj1 + obj2
```

#python3 #python #python-programming #python-web-development #python-tutorials #python-top-story #python-tips #learn-python

1602968400

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more *readable* and *efficient* way like a pro.

**Swapping value in Python**

Instead of creating a **temporary** variable to hold the value of the one while **swapping**, you can do this instead

```
>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName
>>> print(FirstName, LastName)
('Jordan', 'kalebu')
```

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development

1602666000

Today you’re going to learn how to use **Python programming** in a way that can ultimately save a lot of space on your *drive* by removing all the duplicates.

In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can *tedious*.

**Heres a solution**

Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.

**But How do we do it?**

If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?

The answer is hashing, with *hashing* can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.

There’s a variety of **hashing algorithms** out there such as

- md5
- sha1
- sha224, sha256, sha384 and sha512

#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips