Python 3 Data Processing with Pandas and Plotly

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Ashwin Pajankar • 85,000+ Students Worldwide

12:58:37

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01 - Introduction

001 Objectives, Prerequisites, and Audience Profile.mp4

03:41

002 Topics Overview.mp4

03:06

003 Please do leave your feedback.mp4

00:59

004 Scientific Python Ecosystem.mp4

06:16

005 05-URLs-of-projects-in-Scientific-Python-Ecosystem.pdf

005 Important Projects in Scientific Python Ecosystem.html

02 - Python 3 on Windows

001 Install Python 3 on Windows.mp4

07:48

002 02-Verifying-Installation-on-Windows.pdf

002 Verify Python installation and environment.mp4

04:50

03 - Python 3 on Raspberry Pi

001 What is Raspberry Pi.mp4

05:55

002 01-Raspberry-Pi-Setup-URLs-and-Commands.pdf

002 Raspberry Pi OS Setup.mp4

27:11

003 Remote Desktop with VNC.mp4

12:30

004 Install IDLE3 on Raspberry Pi Raspbian.mp4

02:50

005 Python 3 on Raspberry Pi.mp4

07:01

006 05-Additional-Remote-Connection-Software-and-X11.pdf

006 Additional Software for Remote Connection.mp4

14:38

04 - Python 3 Basics

001 Hello World on Windows.mp4

03:04

002 Hello World on Raspberry Pi.mp4

05:07

003 Python 3 Interpreter Mode vs Script Mode.mp4

09:06

004 IDLE.mp4

12:27

005 Raspberry Pi vs PC.mp4

05:51

05 - PyPI and pip

001 Python Package Index and pip.mp4

05:28

002 pip on Windows.mp4

04:40

003 pip3 on Raspberry Pi.mp4

08:36

06 - Install NumPy and Matplotlib

001 Install NumPy and Matplotlib on Windows.mp4

04:05

002 02-Installing-NumPy-and-Matplotlib-on-Raspberry-Pi.pdf

002 Install NumPy and Matplotlib on Raspberry Pi.mp4

06:21

07 - Jupyter Notebook

001 Jupyter and IPython.mp4

12:48

002 Jupyter Installation on Windows.mp4

06:31

003 Jupyter Installation on Raspberry Pi.mp4

06:36

004 Install PuTTY.mp4

04:01

005 Connect to the remote Jupyter Notebook.mp4

07:59

006 A brief tour of Jupyter.mp4

22:02

007 07-Jupyter-Installation-and-Remote-Connection.pdf

007 List of commands used in this section.html

08 - Getting started with NumPy

001 Introduction to NumPy.mp4

04:53

002 Ndarrays, Indexing, and Slicing.mp4

20:55

003 Ndarray Properties.mp4

06:59

004 NumPy constants.mp4

02:51

005 04-NumPy-Datatypes.pdf

005 NumPy Datatypes.html

09 - Creation of Arrays and Matplotlib

001 Ones and Zeroes.mp4

08:23

002 Matrices.mp4

04:59

003 What is Matplotlib.mp4

03:53

004 Numerical ranges and visualizations.mp4

15:54

10 - Random Sampling

001 Random Sampling.mp4

04:58

11 - Array Manipulation

001 Array Manipulation.mp4

27:41

12 - Bitwise Operations

001 Bitwise Operations.mp4

03:35

13 - Statistical Functions

001 Statistical Functions.mp4

05:17

14 - Plotting in detail

001 Single Line Plots.mp4

08:52

002 Multiline Plots.mp4

06:32

003 Grid, Axes, and Labels.mp4

16:24

004 Colors, Lines, and Markers.mp4

07:27

15 - Installing SciPy and Pandas

001 Introduction to SciPy.mp4

01:55

002 Install SciPy on Windows.mp4

01:53

003 Install SciPy on Raspberry Pi.mp4

02:09

004 What is Pandas.mp4

01:52

005 Install Pandas on Windows.mp4

01:36

006 Install Pandas on Raspberry Pi.mp4

01:42

16 - Matrices and Linear Algebra

001 Dot Products.mp4

07:07

002 Vector Dot Products.mp4

03:13

003 Inner Product.mp4

02:11

004 QR Decomposition.mp4

02:04

005 Determinant Solving and Linear Equations.mp4

05:47

006 Linear Algebra with SciPy.mp4

12:35

17 - Data Acquisition with Python, NumPy, and Matplotlib

001 Plain Text File.mp4

09:25

002 CSV.mp4

06:08

003 Handle Excel File.mp4

17:52

004 NumPy file format.mp4

04:46

005 CSV File reading with NumPy.mp4

04:33

006 Matplotlib Cbook.mp4

02:32

18 - Python 3 and MySQL

001 01-MySQL-Installation-Resources.pdf

001 MySQL installation on Windows.mp4

27:14

002 02-CODE-Getting-Started-with-MySQL.pdf

002 Getting started with MySQL.mp4

22:27

003 Install SQL Developer on Windows.mp4

07:21

003 URLs-for-software-downloads.pdf

004 Connect MySQL with SQL Developer.mp4

07:10

005 Exploring MySQL workbench.mp4

15:13

006 pymysql installation on Windows.mp4

03:50

007 Connect to MySQL with Python 3.mp4

13:20

008 Execute DDL.mp4

10:16

009 INSERT.mp4

08:42

010 SELECT.mp4

08:25

011 UPDATE.mp4

05:29

012 DELETE.mp4

03:49

013 DROP.mp4

05:06

19 - Series and Dataframes in Pandas

001 Series.mp4

14:29

002 Dataframes.mp4

16:50

20 - Data Acquisition with Pandas

001 Read CSV.mp4

05:22

002 Read Excel.mp4

03:06

003 Read JSON.mp4

05:21

004 Pickles.mp4

03:24

005 Pandas and Web.mp4

12:49

006 Read SQL.mp4

03:54

007 Clipboard.mp4

04:46

21 - Visualization with Plotly

001 Installation and Density Plots.mp4

10:13

002 Error bar.mp4

08:50

003 Box Plots.mp4

08:33

004 Histograms.mp4

05:30

005 Distplot.mp4

09:08

006 More Histograms.mp4

04:02

007 Bullet Charts.mp4

03:42

008 Tabular Visualization.mp4

02:00

009 Facets and Trellis.mp4

13:22

010 Histogram Contour.mp4

02:23

22 - Plotly and Matplotlib

001 Getting Started.mp4

04:18

002 Set Background.mp4

03:53

003 Line and scatter.mp4

07:46

004 Bubble Chart.mp4

04:04

005 Filled area plots.mp4

05:16

23 - Scientific Visualization and Statistics

001 Quiver Plots.mp4

09:47

002 Statistics.mp4

07:07

24 - Downloadable Contents

001 Code Bundle.html

001 Code-Bundle.zip

25 - BONUS SECTION

001 BONUS Lecture.html

001 Bonus-Lecture.pdf

Description

Learn NumPy, Matplotlib, Jupyter, Pandas, Plotly, and SciPy in a single course

What You'll Learn?

Understand the Scientific Python Ecosystem
Understand Data Science, Pandas, and Plotly
Learn basics of NumPy Fundamentals
Learn Advanced Data Visualization
Learn Data Acquisition Techniques
Linear Algebra and Matrices

Who is this for?

Data Science Professionals: Data Scientists and Data Engineers

AI and Machine Learning Professionals

Scientists, Mathematicians, Physicists, and Engineers

Python Developers and Programmers

Managers and Business Professionals

Anyone who wants to learn

What You Need to Know?

Windows PC / Raspberry Pi with Internet Connection

Zeal and enthusiasm to learn new things

a burning desire to take your career to the next level

Basic Programming and Python Programming Basics

basic mathematics knowledge will be greatly appreciated

More details

Description
Become a Master in Data Acquisition, Visualization, and Processing with Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level Data Science professional can earn minimum $100000 (that's five zeros after 1) in today's economy.
This is theÂ most comprehensive, yet straight-forward course for the Data Science with Python 3 on Udemy!Â Whether you have never worked with Data Science before, already know basics of Python, or want to learn the advanced features of Pandas and plotly, this course is for you! In this course we willÂ teach you Data Science and Time Series with Python 3, Jupyter, NumPy, Pandas, Matplotlib, and Plotly .
(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)
WithÂ over 105 lecturesÂ and more than 12.5 hours of video this comprehensive course leaves no stone unturned in teaching you Data Science with Python 3, Pandas, and Time Series Analysis!
This course will teach you Data Science and Time Series in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!
We will start by helping you get Python3, NumPy, matplotlib, Jupyter, Pandas, and Plotly installed on your Windows computer and Raspberry Pi.
We cover a wide variety of topics, including:
Basics of Scientific Python Ecosystem
Basics of Pandas
Basics of NumPy and Matplotlib
Installation of Python 3 on Windows
Setting up Raspberry Pi
Tour of Python 3 environment on Raspberry Pi
Jupyter installation and basics
NumPy Ndarrays
Array Creation Routines
Basic Visualization with Matplotlib
Ndarray Manipulation
Random Array Generation
Bitwise Operations
Statistical Functions
Basics of Matplotlib
Installation of SciPy and Pandas
Linear Algebra with NumPy and SciPy
Data Acquisition with Python 3
MySQLÂ and Python 3
Data Acquisition with Pandas
Dataframes and Series in Pandas
Visualization with Plotly
Advanced Matplotlib Visualizations
Data Processing
You will get lifetime access to over 105 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures!Â
So what are you waiting for? Learn Data Science and Time Series with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!
Who this course is for:
Data Science Professionals: Data Scientists and Data Engineers
AI and Machine Learning Professionals
Scientists, Mathematicians, Physicists, and Engineers
Python Developers and Programmers
Managers and Business Professionals
Anyone who wants to learn

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Ashwin Pajankar is a Science Popularizer, a Programmer, a Maker, and an Author. He has a Master of Technology in Computer Science and Engineering from International Institute of Information Technology Hyderabad (IIIT-H). Ashwin has published more than a dozen of books on Python Programming, Test Automation, Raspberry Pi, Computer Vision, Arduino, and Supercomputing with reputed global publishers like Packt, Apress, Leanpub, and BPB. He has reviewed five books on Data Mining, Machine Learning, Python 3 Programming, and Raspberry Pi for Packt. He has also reviewed a video course on Raspberry Pi for Packt.He has earned many professional certifications in the areas of development, administration, and testing from Oracle, IBM, Informatica, Teradata, and ISTQB.He has more than twenty five years of experience in STEM (Science, Technology, Engineering, and Mathematics), Programming, and Innovation. He started tinkering with electronics, home computers, programming, and science experiments at the tender age of 8. He began his programming journey with BASIC and Assembly Language of 8085 and x86 family. He has over a decade of work experience in a few big brands like Cisco Systems and Cognizant in technical roles. He also has worked in a couple of startups in technical leadership roles.Ashwin has trained thousands of professionals on the topics like Python Programming, Test Automation, Innovation, and IoT.He is committed to the vision of bringing Science and Technology education to masses. He has won several awards at university and workplaces for social initiatives and community service.

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