Python Pro Tip: Want to use R/Java/C or Any Language in Python?

Python Pro Tip: Want to use R/Java/C or Any Language in Python?


Python provides a basic and simple way to handle such requirements where we have to switch to and fro between multiple languages

Python is great. Really great.

But the field is getting/will get language agnostic with time. And a lot of great work is being done in many other languages.

While I still treat Python as a primary language, I never hesitate to move to a different language if it gets the work done.

The fact is that every language has evolved in such a way that it has built its stronghold in certain areas. For example, Some people may find it easier to use R for regression, or Plot in R using ggplot(Though I sincerely feel Python has come a long way in the visualization department.)

Sometimes it is because a particular library is written in Java/C and someone hasn’t yet ported it to Python.

But is there a better way to handle this constant nuisance?

I like Python because I understand it well now. It is easy for me to do so many things in Python as compared to doing it in R or Java or Scala.

Why do I have to code my data preparation steps in R if I just want to use the Linear Regression package in R?

Or why do I have to learn to create charts in Java if I only want to use the Stacknet package?

Now Python and R have many wrappers. How can I use R in Python or How I can use Python in R? rpy2 and reticulate

These packages are all well and good, and they may solve some problems.*** But they don’t address the generic problem. Every time I want to switch from one language to another I need to learn a whole new package/library. Not scalable at all.***

In this series of posts named Python Shorts, I will explain some simple constructs provided by Python, some essential tips and some use cases I come up with regularly in my Data Science work.

This post is about utilizing a particular package/library from another language, while not leaving the comfort of coding in our primary language.

The Problem Statement

I will start with a problem statement to explain this. Let’s say I had to create a graph using R, but I wanted to prepare my data in Python.

It is a generic problem any data scientist can potentially face. Do something in one language and then move to another language to do some other thing.

Can I do this without leaving my Jupyter notebook? Or my Python Script?

The Solution

Here is how I could accomplish this. It might seem hacky to some but I love hacks.

import pandas as pd
data = preprocess(data)
os.system("Rscript create_visualization.R")

The <strong><em>os.system</em></strong> command provides me with a way to access my shell using Python. And the shell is a potent tool at your disposal. You can run almost any language on the shell.

The corresponding Rscript that will run in python would look something like:


I can then maybe load the png file and show it in my Jupyter notebook using something like a markdown hack.

![alt text](plot.png "Title")

For R users, who don’t want to leave the comfort of R, R also has a systemcommand analogous to os.system that you can use to run Python code in R.


<strong><em>os.system</em></strong>*** in Python provides us a way to do each and everything in Python by letting us call shell commands from Python.***

I have used it in plenty of my projects where I have used this concept to send e-mails using Mutt. Or to run some Java program or to fiddle around.

It seems like a hacky way, but it works and is generalized enough that you don’t have to learn a new library anytime you want to do something with any other language and get it integrated with Python.

Python GUI Programming Projects using Tkinter and Python 3

Python GUI Programming Projects using Tkinter and Python 3

Python GUI Programming Projects using Tkinter and Python 3

Learn Hands-On Python Programming By Creating Projects, GUIs and Graphics

Python is a dynamic modern object -oriented programming language
It is easy to learn and can be used to do a lot of things both big and small
Python is what is referred to as a high level language
Python is used in the industry for things like embedded software, web development, desktop applications, and even mobile apps!
SQL-Lite allows your applications to become even more powerful by storing, retrieving, and filtering through large data sets easily
If you want to learn to code, Python GUIs are the best way to start!

I designed this programming course to be easily understood by absolute beginners and young people. We start with basic Python programming concepts. Reinforce the same by developing Project and GUIs.

Why Python?

The Python coding language integrates well with other platforms – and runs on virtually all modern devices. If you’re new to coding, you can easily learn the basics in this fast and powerful coding environment. If you have experience with other computer languages, you’ll find Python simple and straightforward. This OSI-approved open-source language allows free use and distribution – even commercial distribution.

When and how do I start a career as a Python programmer?

In an independent third party survey, it has been revealed that the Python programming language is currently the most popular language for data scientists worldwide. This claim is substantiated by the Institute of Electrical and Electronic Engineers, which tracks programming languages by popularity. According to them, Python is the second most popular programming language this year for development on the web after Java.

Python Job Profiles
Software Engineer
Research Analyst
Data Analyst
Data Scientist
Software Developer
Python Salary

The median total pay for Python jobs in California, United States is $74,410, for a professional with one year of experience
Below are graphs depicting average Python salary by city
The first chart depicts average salary for a Python professional with one year of experience and the second chart depicts the average salaries by years of experience
Who Uses Python?

This course gives you a solid set of skills in one of today’s top programming languages. Today’s biggest companies (and smartest startups) use Python, including Google, Facebook, Instagram, Amazon, IBM, and NASA. Python is increasingly being used for scientific computations and data analysis
Take this course today and learn the skills you need to rub shoulders with today’s tech industry giants. Have fun, create and control intriguing and interactive Python GUIs, and enjoy a bright future! Best of Luck
Who is the target audience?

Anyone who wants to learn to code
For Complete Programming Beginners
For People New to Python
This course was designed for students with little to no programming experience
People interested in building Projects
Anyone looking to start with Python GUI development
Basic knowledge
Access to a computer
Download Python (FREE)
Should have an interest in programming
Interest in learning Python programming
Install Python 3.6 on your computer
What will you learn
Build Python Graphical User Interfaces(GUI) with Tkinter
Be able to use the in-built Python modules for their own projects
Use programming fundamentals to build a calculator
Use advanced Python concepts to code
Build Your GUI in Python programming
Use programming fundamentals to build a Project
Signup Login & Registration Programs
Job Interview Preparation Questions
& Much More

Guide to Python Programming Language

Guide to Python Programming Language

Guide to Python Programming Language

The course will lead you from beginning level to advance in Python Programming Language. You do not need any prior knowledge on Python or any programming language or even programming to join the course and become an expert on the topic.

The course is begin continuously developing by adding lectures regularly.

Please see the Promo and free sample video to get to know more.

Hope you will enjoy it.

Basic knowledge
An Enthusiast Mind
A Computer
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Internet Connection
What will you learn
Will Be Expert On Python Programming Language
Build Application On Python Programming Language

Python Programming Tutorials For Beginners

Python Programming Tutorials For Beginners

Python Programming Tutorials For Beginners

Hello and welcome to brand new series of wiredwiki. In this series i will teach you guys all you need to know about python. This series is designed for beginners but that doesn't means that i will not talk about the advanced stuff as well.

As you may all know by now that my approach of teaching is very simple and straightforward.In this series i will be talking about the all the things you need to know to jump start you python programming skills. This series is designed for noobs who are totally new to programming, so if you don't know any thing about

programming than this is the way to go guys Here is the links to all the videos that i will upload in this whole series.

In this video i will talk about all the basic introduction you need to know about python, which python version to choose, how to install python, how to get around with the interface, how to code your first program. Than we will talk about operators, expressions, numbers, strings, boo leans, lists, dictionaries, tuples and than inputs in python. With

Lots of exercises and more fun stuff, let's get started.

Download free Exercise files.


Who is the target audience?

First time Python programmers
Students and Teachers
IT pros who want to learn to code
Aspiring data scientists who want to add Python to their tool arsenal
Basic knowledge
Students should be comfortable working in the PC or Mac operating system
What will you learn
know basic programming concept and skill
build 6 text-based application using python
be able to learn other programming languages
be able to build sophisticated system using python in the future

To know more: