11 Must Know Tips for excelling in Python Programming
Python Coding Essential Tips
Understanding the nuances of any coding language is not easy. It comes with lots and lots of experience. Here are the 10 must know python coding tips for you to know if you are starting out new or if you are preparing for your upcoming Python interviews.
It is extremely important to know the python versions. There has been a major debate on which version to use. Some say python 2 is better while others say python 3 is better. The final version of python 2, python 2.7 was
released in 2010 while python 3.0 came out in 2008. The latest release of python 3, python 3.6 was released in 2016. There are several packages like six that allow you to easily migrate from python 2 to 3 with very few
manipulations. Since all the new standard library improvements will now be available by default on python 3 only, it is better to use python 3 if you can do exactly what you want with python 3. Although python 3 is a consistent
language but it has some downsides too. It is very limited to third party modules and most major frameworks still run on python 2.
Following are the most used python libraries that you must know of before starting coding in python:
Pandas: pandas is an open source python library that provides easy to use data structures and data analysis tools. It also provides tools for loading data form different file formats and merging and joining of data. Pandas provides us the facility to aggregate and transform data using group by.
pip install pandas
import pandas as pd
Numpy: Numpy or numeric python is used for scientific computation in python. It provides tools for working with multidimensional array. Numpy also provides ways for indexing in arrays.
import numpy as np
BeautifulSoup: BeautifulSoup is a python library that is helpful in scraping data from HTML and XML files. It automatically converts incoming documents to Unicode and outgoing documents to UTF-8.
from bs4 import BeautifulSoup
for val in soup.find_all(‘a’):
matplotlib: matplotlib is a python library that is used to plot interactive graphs. Data visualization is necessary to identify useful pattern in data.
import matplotlib.pyplot asplt
For example –
b=list(map(lambda x: x*5, a))
For example –
a=[“using”, “enumerate”, “in”, “python”]
for counter, val in enumerate(a):
For example –
File_location=input(“Enter the file location”)
a=int(input(“Enter the value of a”))
for val in set(my_list):
1 : 4
2 : 3
3 : 2
4 : 1
for val in my_list:
for i in val:
new_list.append(i) //this is how you convert a list of list
for i in new_list:
start is the start index of the list
end is the last index of the list
8. Sorting- Sorting is a built-in function in python that allows you to arrange elements in an ordered manner. Python allows you to sort the list according to any element in the list.
my_list = [3, 6, 8, 2, 78, 1, 23, 45, 9]
[1, 2, 3, 6, 8, 9, 23, 45, 78]
a.sort(key=lambda x: x, reverse=True)
Python programming also allows you to use arithmetic functions in the following way:
res = [i*j for i,j in zip(x,y)]
Hope these tips will be helpful to you. Do you have any similar tips that you want to share? Please post and let us know.