The try block lets you test a block of code for errors.
The except block lets you handle the error.
The else block lets you execute code when there is no error.
The finally block lets you execute code, regardless of the result of the try- and except blocks.
When an error occurs, or exception as we call it, Python will normally stop and generate an error message.
These exceptions can be handled using the try statement: Continue reading Python Try Except
PIP is a package manager for Python packages, or modules if you like.
Note: If you have Python version 3.4 or later, PIP is included by default.
A package contains all the files you need for a module.
Modules are Python code libraries you can include in your project.
Navigate your command line to the location of Python’s script directory, and type the following:
Check PIP version:
C:\Users\Your Name\AppData\Local\Programs\Python\Python36-32\Scripts>pip --version
A RegEx, or Regular Expression, is a sequence of characters that forms a search pattern.
RegEx can be used to check if a string contains the specified search pattern.
Python has a built-in package called re, which can be used to work with Regular Expressions.
Import the re module:
import re
JSON is a syntax for storing and exchanging data.
JSON is text, written with JavaScript object notation.
Python has a built-in package called json, which can be used to work with JSON data.
Import the json module:
import json
Python has a set of built-in math functions, including an extensive math module, that allows you to perform mathematical tasks on numbers.
The min() and max() functions can be used to find the lowest or highest value in an iterable:
x = min(5, 10, 25)
y = max(5, 10, 25)
print(x)
print(y)
The abs() function returns the absolute (positive) value of the specified number: Continue reading Python Math
A date in Python is not a data type of its own, but we can import a module named datetime to work with dates as date objects.
Import the datetime module and display the current date:
import datetime x = datetime.datetime.now() print(x)
Consider a module to be the same as a code library.
A file containing a set of functions you want to include in your application.
To create a module just save the code you want in a file with the file extension .py:
Save this code in a file named mymodule.py
def greeting(name):
print("Hello, " + name)
Now we can use the module we just created, by using the import statement: Continue reading Python Modules
A variable is only available from inside the region it is created. This is called scope.
A variable created inside a function belongs to the local scope of that function, and can only be used inside that function.
A variable created inside a function is available inside that function:
def myfunc():
x = 300
print(x)
myfunc()
As explained in the example above, the variable x is not available outside the function, but it is available for any function inside the function: Continue reading Python Scope
The word “polymorphism” means “many forms”, and in programming it refers to methods/functions/operators with the same name that can be executed on many objects or classes.
An iterator is an object that contains a countable number of values.
An iterator is an object that can be iterated upon, meaning that you can traverse through all the values.
Technically, in Python, an iterator is an object which implements the iterator protocol, which consist of the methods __iter__() and __next__().