Python Pandas Tutorial 2 | Dataframe Basics | Great Programming | CSV file.

Veröffentlicht am: 31 Juli 2020
auf dem Kanal: Great Programming
64
11

This pandas tutorial covers basics on dataframe. DataFrame is a main object of pandas. It is used to represent tabular data (with rows and columns). This tutorial will go over,
1) What is dataframe?
2) Create dataframe from csv file and python dictionary
3) Dealing with rows and columns
4) Operations: mean, max, std, describe

Agenda:-
Topics that are covered in this Python Pandas Video:
0:15 What is Dataframe?
2:02 Import pandas in jupyter notebook
3:34 Create dataframe using python dictionary
5:15 Use head() method
5:52 Use tail() method
6:10 Use shape method
8:12 Use info() method
8:39 Use describe()Method

To download csv and code for all tutorials: go to https://github.com/codebasics/py, click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file

Pandas Tuorial Link:-    • Python Pandas Introduction | Data Ana...  
Numpy Tutorial Link:-    • Python NumPy | NumPy Array | Python T...  
Calculator Link:-    • How to Create a Simple Calculator Pro...  
Dictionary Link:-    • Python for Beginners_2 | Python Dicti...  
Biginners Python Link:-    • Python for Beginners | Python  Exampl...  

Python download Links:-
Install Python:- https://www.python.org/downloads/
Python Pycharm:- https://www.jetbrains.com/pycharm/dow...
Anaconda installation:- https://www.anaconda.com/products/ind...
Google colab:- https://colab.research.google.com/not...

Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source licence.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain..


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