# Blog

## All you ‘really’ need to know | Python Notebook | Advanced – Pandas

It’s pretty obvious to summon the fact that you wouldn’t have clicked on this article if you have no understanding of the basics and intermediate level concepts of Python. You have? Then it is fair enough to go ahead with this article. You are confused with some basic stuffs, or perhaps forgot about it? IContinue reading All you ‘really’ need to know | Python Notebook | Advanced – Pandas

## Why are basics important?

Explains why basics are important using a simple example.

## Time series EDA

Tutorial on Time Series EDA. Contains time plot, seasonal plots and correlogram plots (ACF) for in-time problem with reusable R code.

## A Not-so-Quick-but-Conceptual guide to Python | Notebook | Intermediate — Part 2

Let me be honest. This notebook took me a lot more time than I excepted because I want my audience to understand the concepts of the some of the topics mentioned below in as granular level as possible, yet not making the notebook lengthy. As promised, this is the part 2 of Python Intermediate ofContinue reading A Not-so-Quick-but-Conceptual guide to Python | Notebook | Intermediate — Part 2

## Multicollinear analysis

Tutorial on Multicollinearity which is the third part of EDA. Plot of Correlation matrix and network for in-time problem with reusable code.

## A Not-so-Quick-but-Conceptual guide to Python — Notebook | Intermediate | Part 1

Hi. As mentioned in my previous article, I am now sharing the intermediate part of the Python Tutorial series. I decided to split this part up into 2. Part 1 covers:1. Data Types [list, tuple, dictionary, set, frozenset]2. Conditional statements and loops [if-elif-else, for, while, break, continue]3. File IO [read, write, append, close]4. Exception HandlingContinue reading A Not-so-Quick-but-Conceptual guide to Python — Notebook | Intermediate | Part 1

## Multivariate Analysis

Tutorial on Multivariate analysis which is the second part of EDA. Explained using in-time problem with reusable R code.

## Handling Google maps location data

Getting traffic, vehicle used, location and journey time from Google Maps. Integrating these factors for in-time problem.

## Get started with Python | Notebook for Beginner’s level

Hi there. My name is Tamoghna Saha, Harsha’s roomie. For my bio, you can take a look at my LinkedIn profile or my GitHub account. He told me to take up the initiative of writing articles on data science on his website. I am not a ‘writing’ kind of a guy but decided to giveContinue reading Get started with Python | Notebook for Beginner’s level