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This course includes:

  • 1 hour on-demand video
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Development Data Science Python

Python Pandas Library Full Tutorial

Pandas Library
Rating: 2.9 out of 52.9 (168 ratings)
19,228 students
Created by Diptam Paul
Last updated 4/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • pandas library

Course content

3 sections • 32 lectures • 1h 14m total length

  • Preview01:13
  • Preview02:52
  • Preview03:14
  • Creating a CSV File
    01:38
  • Read CSV
    03:51
  • Head, Tail & Describe
    01:40
  • Indexing
    03:23

  • Creating DF using Numpy
    02:52
  • Data Type
    02:03
  • Getting Index and Column
    00:53
  • DF to Numpy
    01:03
  • Transpose of DataFrame
    00:43
  • Sorting
    01:50
  • Is Dataframe combination of Series
    01:18
  • loc in Pandas
    03:35
  • What if you mistake a column name
    02:29
  • Deleting Rows or Columns
    01:19
  • Print Certain Amount of Rows and Columns
    02:04
  • Print with Conditions
    01:05
  • Print with Multiple Conditions
    01:49
  • ILOC
    03:09
  • Replace
    02:12
  • Reset Index
    02:20
  • IsNull( )
    01:37
  • DropNA
    03:25
  • Drop Duplicates
    03:01

  • Preview04:06
  • For Loops
    02:18
  • Adding a New Column
    01:18
  • String Contains and REGEX
    03:56
  • Conditional Changes
    01:59
  • Chunksize
    03:46

Requirements

  • numpy arrays
  • python

Description

pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. In this course, you'll learn a lot about this library. Basic knowledge of Numpy is required, as we will perform some tasks using NumPy.

[Note: In this course, we used Jupyter Notebook to write all the codings. in case if you don't have Jupyter Notebook or you don't how to use Jupyter Notebook, you can simply run these codes in any IDE, or even in Python Default IDLE.]

Who this course is for:

  • Beginner in Python
  • Who wants to learn Pandas Library

Instructor

Diptam Paul
Computer Science Engineer
Diptam Paul
  • 4.0 Instructor Rating
  • 1,086 Reviews
  • 71,406 Students
  • 10 Courses

I'm a computer science student, love to teach what I know. Sharing knowledge is the best thing in this world.

I've knowledge of Web Development and Designing, and on machine learning, Data Science and AI. I'll make courses on these topics so that everyone can understand these topics in an easy way.

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