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Numpy Pandas in Python from Scratch (2022)
About Course
Learn how to use Python Numpy from scratch in Data processing and Data Analysis.
Categories
Development
Course Curriculum
01 – Introduction
001 Introduction
00:00
002 Environment Preparing for Python
00:00
003 Python2 VS Python3
00:00
004 Understanding Data Types in Python
00:00
02 – Python Refresher
01 Variables, Operators and Data Types in Python
00:00
002 String Functions in Python
00:00
003 Control Flow VS Loops
00:00
004 Data Structures in Python
00:00
005 Error Handling in Python
00:00
006 Functions in Python
00:00
007 Files and Modules in Python
00:00
03 – Object Oriented Programming (OOP) In Python
001 Creating Simple Class
00:00
002 Overviewing Constructor
00:00
03 Learning How to creating Dunder Methods
00:00
004 Learning about Inheritance
00:00
005 Knowing What is the Encapsulation
00:00
006 Learning also about Multiple Inheritance
00:00
007 Knowing What is the Overriding
00:00
008 Learning about Decorators
00:00
009 Learning How to use Build-in Decorators
00:00
04 – Project Color Choices Game
001 Project Walk through
00:00
002 Project Helpful Notes
00:00
003 Project Solution
00:00
05 – Project Hangman Game
001 Project Walk through
00:00
002 Project Helful Notes
00:00
003 Project Solution Part 1
00:00
004 Project Solution Part 2
00:00
06 – Numpy Python Library
001 1. Numpy Intro
00:00
002 2. Numpy.shape & Numpy.size
00:00
003 3. Creating Numpy nd arrays using Numpy functions
00:00
004 4. Numpy.unique( ) & Array slicing
00:00
005 5. Numpy Calculations and Operators
00:00
006 6. Numpy Aggregations
00:00
007 7. Numpy Reshape and Transposing
00:00
008 8. Numpy Comparing
00:00
009 9. Numpy Images processing
00:00
07 – Python Pandas Data Analysis & Visualization
001 Installing Jupyter Lab & Pandas
00:00
002 SQL PostgreSQL Down and install
00:00
003 Database Creation
00:00
004 Database Restore
00:00
005 Using Python Pandas Package to load PostgreSQL the Data Output file
00:00
006 Fetchmany and Fetchall
00:00
007 Querying Using Python Panadas
00:00
008 Pandas methods and functions
00:00
009 Visualizing Data
00:00
010 Pandas Data Analysis
00:00
011 Sampling Error
00:00
08 – Web Scraping & Data Analysis Using Python & SQL
01 How to Scrape a website in Python
00:00
02 Scrape a Table inside a Webpage using Pandas and LXML Python Modules!
00:00
003 Data Visualization of the Scraped Data
00:00
004 Save The Scraped Data to a Database
00:00
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Course Details
Level:
All Levels
Duration:
0
Enrolled:
2
Last Updated:
February 8, 2022
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