August  Larson

August Larson

1624421400

How to Speed Up Your Day-To-Day Work in Python

Use all the computing power available to you

In my day-to-day data work, I routinely find myself running a lot of for loops. These can take minutes to complete, which isn’t necessarily a long time, but looping is embarrassingly parallelizable. We can do better.

In this article, I will discuss how to make more efficient use of your time when working in Python. Whether you work on a laptop or a high-performance computer (HPC), you can speed up your workflow by taking full advantage of all the computing power available to you. This can be achieved with the Dask and Dask-jobqueue libraries. This post will discuss how to create and use a dask cluster on your local computer and an HPC.

Dask is a Python library for parallel computing and dask-jobqueue lets you interact with job schedulers, such as Slurm, from a Jupyter Notebook. Dask makes simple things are easier and complex things are possible and itsnumpy and pandas-like API makes writing code familiar to Pythonic data practitioners.

Table of contents

#software-development #python #programming #how to speed up your day-to-day work in python #speed up your day-to-day work #speed up

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How to Speed Up Your Day-To-Day Work in Python
August  Larson

August Larson

1624421400

How to Speed Up Your Day-To-Day Work in Python

Use all the computing power available to you

In my day-to-day data work, I routinely find myself running a lot of for loops. These can take minutes to complete, which isn’t necessarily a long time, but looping is embarrassingly parallelizable. We can do better.

In this article, I will discuss how to make more efficient use of your time when working in Python. Whether you work on a laptop or a high-performance computer (HPC), you can speed up your workflow by taking full advantage of all the computing power available to you. This can be achieved with the Dask and Dask-jobqueue libraries. This post will discuss how to create and use a dask cluster on your local computer and an HPC.

Dask is a Python library for parallel computing and dask-jobqueue lets you interact with job schedulers, such as Slurm, from a Jupyter Notebook. Dask makes simple things are easier and complex things are possible and itsnumpy and pandas-like API makes writing code familiar to Pythonic data practitioners.

Table of contents

#software-development #python #programming #how to speed up your day-to-day work in python #speed up your day-to-day work #speed up

Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

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

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#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

Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

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

Art  Lind

Art Lind

1602968400

Python Tricks Every Developer Should Know

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.

Let’s get started

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

Art  Lind

Art Lind

1602666000

How to Remove all Duplicate Files on your Drive via Python

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.

Intro

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