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Python – Part 1/10

5-6 years back Java was said to be ever lasting. Everyone wanted a Java developer in their team. Looking at the current scenario, we can safely assume that Python is and will be one of the most used Programming language across multiple domains ranging from software development to web development and Data Science.

Talking particularly about Data Science, Python is blessed by a humongous community of Data Scientists who contribute a lot to the development and betterment of the language. Apart from the community, the libraries and packages which are regularly developed are making it easier for people to explore Data Science.

Python is not the only language which can be used for Data Science purpose. Few other languages are:-
1. R
2. SAS
3. JAVA
4. C

We will try to cover everything in Python so that you get fluent in at least one language and in the current era if you have to choose one language to better your career, then do give a shot to Python.

Python

At the time of writing this blog, two versions of Python are popular
Python 2.7
Python 3.*

Download
Start with downloading Anaconda
Once you have Anaconda in your system, execute it. It will take ~10 mins to get it done.

From the start itself, try to use Jupyter notebook for your Python programming. 

How to launch Jupyter Notebook?
Once you have installed Anaconda, you will get an Anaconda Navigator in your start menu or on your desktop.
Double click to open it.

This is how Anaconda Navigator will look like. Click on the Launch button below the Jupyter Notebook icon

Running your first Python program

Write the below simple code print(“The Data Monk”) and press Shift+Enter to run the line of code. The output will be shown just below the code.

2. print(“Hello”+” World”) – Plus(+) operator to add two strings

3. You can directly use a variable

4. There are three types of numeric types supported in Python:-
a. int
b. float
c. complex

Use the type() command to know the data type

5. Following are a few string-related functions, pay attention to the typecasting in the first print statement

The Data Monk services

We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now

  1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
    Link – The Data E-shop Page
  4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
    Link – The Data Monk Instagram page
  5. Mock Interviews/Career Guidance/Mentorship/Resume Making
    Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it


For any information related to courses or e-books, please send an email to [email protected]

About TheDataMonkGrand Master

I am the Co-Founder of The Data Monk. I have a total of 6+ years of analytics experience 3+ years at Mu Sigma 2 years at OYO 1 year and counting at The Data Monk I am an active trader and a logically sarcastic idiot :)

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