Syntax object.__rrshift__(self, other) The Python __rrshift__() method implements the reverse bitwise right-shift operation with reflected, swapped operands. So, when you call x >> y, Python attempts to call x.__rshift__(y). If the method is not implemented, Python attempts to call y.__rrshift__(x) on the right operand and if this isn’t implemented either, it raises a TypeError. The … Read more
Syntax object.__rlshift__(self, other) The Python __rlshift__() method implements the reverse bitwise left-shift operation with reflected, swapped operands. So, when you call x << y, Python attempts to call x.__lshift__(y). If the method is not implemented, Python attempts to call y.__rlshift__(x) on the right operand and if this isn’t implemented either, it raises a TypeError. The … Read more
In this tutorial, we will learn how to read in HTML tables using the read_html() function and how to turn these tables into Pandas data frames to analyze them. Furthermore, we will see how to render Pandas data frames as HTML tables applying the to_html() function. As you go through the article, you can also … Read more
Part 5 in the Working with Excel series focuses on formulas. Background After completing Part 4 of this series, you should be comfortable using Python and openpyxl to: add worksheets rename worksheets reorder worksheets delete Worksheets The j-greats.xlsx file should exist on your system. If you do not have this particular file, click here … Read more
Company Tags: Google, Adobe, Amazon, Apple, Bloomberg, Facebook, Oracle, Microsoft, Tesla Problem Statement Given an integer array nums, return all the triplets [nums[i], nums[j], nums[k]] such that i != j, i != k, and j != k, and nums[i] + nums[j] + nums[k] == 0. Note: that the solution set must not contain duplicate triplets. … Read more
Syntax object.__rpow__(self, other) The Python __rpow__() method implements the reverse exponentiation operation that is exponentiation with reflected, swapped operands. So, when you call x ** y, Python attempts to call x.__pow__(y). Only if the method is not implemented on the left operand, Python attempts to call __rpow__ on the right operand and if this isn’t … Read more
Part 4 in the Working with Excel series focuses on Worksheet(s) manipulation. Background After completing Part 3 of this series, you should be comfortable using Python and openpyxl to: append row(s), modify data, insert column(s), delete row(s) and column(s) The j-greats.xlsx file should exist on your system. If you do not have this particular … Read more
Syntax object.__rdivmod__(self, other) The Python __rdivmod__() method implements the divmod() built-in function with reflected, swapped operands. So, when you call divmod(x, y), Python attempts to call x.__divmod__(y). If the method is not implemented, Python attempts to call __rdivmod__ on the right operand. Only if this isn’t implemented either, it raises a TypeError. We call this … Read more
Syntax object.__rmod__(self, other) The Python __rmod__() method implements the reverse modulo operation with reflected, swapped operands. So, when you call x % y, Python attempts to call x.__mod__(y). If the method is not implemented, Python attempts to call __rmod__ on the right operand and if this isn’t implemented either, it raises a TypeError. We call … Read more
How to really find clients on freelancing platforms such as Upwork, Fiverr, or Topcoder? Massive action! This article shows you a simple and statistically sound way of increasing your odds of finding new clients as a freelancer. I recently read the “10x” book by Grant Cardone. In his book, he invented the concept of taking … Read more
Syntax object.__rfloordiv__(self, other) The Python __rfloordiv__() method implements the reverse floor (integer) division operation with reflected, swapped operands. So, when you call x // y, Python attempts to call x.__floordiv__(y). If the method is not implemented, Python attempts to call __rfloordiv__ on the right operand and if this isn’t implemented either, it raises a TypeError. … Read more
Building on the skill(s) you learned earlier, Part 3 centers around manipulating the data. This skill is another must-have if you are interested in pursuing a career as a Data Scientist. Background After completing Part 2 of this series, you should be comfortable using Python to: access a single row/column value, access a range of … Read more