So here I was trying to store the values of a csv file 'employee_reviews.csv' into my employees table. I'm reading through the file, storing it as a string, then splitting the elements all the way down to a 2D list which is then looped through each row. I'm pretty sure there is a more simple way of doing this. When I run my code, I get an Error ->
cur.execute("INSERT INTO (id, company, location, dates, job_title, summary, pros, cons, advice_to_management, overall_ratings, work_balance_stars, culture_value_stars, career_opportunities_stars, comp_benefit_stars, senior_management_stars, helpful_count, link) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)",(int(row), row, row, row, row, row, row, row, row, int(row), row, row, row, row, row, int(row), row )) ValueError: invalid literal for int() with base 10: 'none'
import csv import MySQLdb
mydb = MySQL.connect(host=“host”,user=“user”,passwd=“passwd”,db=“Employee_Review”)
cur = mydb.cursor()
#cur.execute(“CREATE TABLE employees(id INT, company VARCHAR(20), location VARCHAR(40), dates DATE, job_title VARCHAR(20), summary VARCHAR(50), pros VARCHAR(1000), cons VARCHAR(1000), advice_to_management VARCHAR(50), overall_ratings INT, work_balance_stars VARCHAR(10), culture_value_stars VARCHAR(10), career_opportunities_stars VARCHAR(10), comp_benefit_stars VARCHAR(10), senior_management_stars VARCHAR(10), helpful_count INT, link VARCHAR(75) )”)
f = open(“employee_reviews.csv”,“r”)
fString = f.read()
fList = 
for line in fString.split(‘\n’):
for row in fList:
if row == fList:
continue #skip the first row for it contains the name of the columns
cur.execute(“INSERT INTO (id, company, location, dates, job_title, summary, pros, cons, advice_to_management, overall_ratings, work_balance_stars, culture_value_stars, career_opportunities_stars, comp_benefit_stars, senior_management_stars, helpful_count, link) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)”,(int(row), row, row, row, row, row, row, row, row, int(row), row, row, row, row, row, int(row), row ))
The csv file can be found here: https://inclass.kaggle.com/petersunga/google-amazon-facebook-employee-reviews/discussion
#python #mysql #sql
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
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
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
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
#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips
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