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153 results

Tech With Pro
AUTOMATE STUNNING šŸ‘Œ REPORTS from CSV with PYTHON & MATPLOTLIB šŸ‘Œ PYTHON 'DOCXTPL'  TUTORIAL šŸ‘

Automating Reports from CSV using Python libraries ('docxtpl', 'docx2pdf') and 'Matplotlib'. Python 'docxtpl' and 'docx2pdf'Ā ...

28:18
AUTOMATE STUNNING šŸ‘Œ REPORTS from CSV with PYTHON & MATPLOTLIB šŸ‘Œ PYTHON 'DOCXTPL' TUTORIAL šŸ‘

630 views

1 year ago

Tyler Caraza-Harter
CS 320 Oct 28 (Part 1) - Matplotlib Coordinate Systems

... one of these tools um let me give you an example of that maybe something that wouldn't be so easy to do in matplotlib um here iĀ ...

22:13
CS 320 Oct 28 (Part 1) - Matplotlib Coordinate Systems

399 views

5 years ago

Berkeley Institute for Data Science (BIDS)
How We Designed Matplotlib's New Default Colormap (and You Can Too)

BIDS Data Science Lecture Series | September 4, 2015 | 1:00-2:30 p.m. | 190 Doe Library, UC Berkeley Speaker: Nathaniel Smith,Ā ...

1:01:33
How We Designed Matplotlib's New Default Colormap (and You Can Too)

1,969 views

Streamed 10 years ago

Matthew Curinga (mxc)
Sequential, divergent, and categorical colormaps in python

This videos is for week 4 of Intro to Programming at Adelphi University 2024. We look at plotting US Census data for large cities inĀ ...

1:09:39
Sequential, divergent, and categorical colormaps in python

211 views

1 year ago

New Mexico EPSCoR
Python Fundamentals with Data Analysis and Visualization

Python is a high-level programming language that is leveraged in a wide range of disciplines and fields. This webinar trainingĀ ...

47:21
Python Fundamentals with Data Analysis and Visualization

142 views

4 years ago

Aalto Scientific Computing
2.3 Visualizaiton - Python for Scientific Computing 2023

Generating figures is part of the scientific process. This should not be manual, but ideally they should be automatically generatedĀ ...

46:58
2.3 Visualizaiton - Python for Scientific Computing 2023

143 views

2 years ago

NPTEL IIT Bombay
Tutorial 04 Part 01: Plotting In 1 D Using Python

Week 4: Tutorial 04 Part 01: Plotting In 1 D Using Python.

28:22
Tutorial 04 Part 01: Plotting In 1 D Using Python

1,269 views

4 years ago

Aaron J Newman
14  - Visualization with Seaborn

Seaborn is a great plotting package for Data Science in Python. It allows you to easily generate common kinds of plots that helpĀ ...

49:33
14 - Visualization with Seaborn

836 views

4 years ago

The Carpentries
Data Carpentry Foundations of Astronomical Data Science Onboarding 2022

Onboarding video for preparing Carpentries Instructors to teach the Data Carpentry Foundations of Astronomical Data ScienceĀ ...

32:02
Data Carpentry Foundations of Astronomical Data Science Onboarding 2022

405 views

4 years ago

Jeremy Howard
Lesson 4: Practical Deep Learning for Coders 2022

00:00:00 - Using Huggingface 00:03:24 - Finetuning pretrained model 00:05:14 - ULMFit 00:09:15 - Transformer 00:10:52 - ZeilerĀ ...

1:34:37
Lesson 4: Practical Deep Learning for Coders 2022

125,008 views

3 years ago

Aaron J Newman
21 - Heat Maps

Heat maps are a more condensed, information-rich, and efficient version of the peri-stimulus time histograms (PSTHs) we saw inĀ ...

35:48
21 - Heat Maps

731 views

4 years ago

Spoken-Tutorial IIT Bombay
Multiple plots - English

Multiple plots overlays linspace give one with very few points, more points show smoothness of the curve legend figure 1, figure2Ā ...

20:30
Multiple plots - English

4,245 views

11 years ago

Confreaks
RubyConf 2018 - RubyPlot - Creating a Plotting Library for Ruby by Pranav Garg

RubyConf 2018 - RubyPlot - Creating a Plotting Library for Ruby by Pranav Garg The talk introduces Rubyplot - the plotting libraryĀ ...

39:13
RubyConf 2018 - RubyPlot - Creating a Plotting Library for Ruby by Pranav Garg

941 views

7 years ago

NPTEL IIT Bombay
Tutorial 04 Part 02: Plotting In 2 D Using Python

Week 4: Tutorial 04 Part 02: Plotting In 2 D Using Python.

30:21
Tutorial 04 Part 02: Plotting In 2 D Using Python

864 views

4 years ago

pyOpenSci: open source for open science
Create Better, Better Data Science Projects: Don't Learn the Hard Way  | pyOpenSci

Want to write better, more impactful data science code? ā€ Eric Ma breaks down lessons learned from his degree and work inĀ ...

43:28
Create Better, Better Data Science Projects: Don't Learn the Hard Way | pyOpenSci

129 views

1 year ago

Tyler Caraza-Harter
CS 320 Oct 30 (Part 1) - Geopandas

... sequence of x y coordinates which is a little bit different than how we've done with map uh matplotlib right with matplotlib if i wasĀ ...

25:58
CS 320 Oct 30 (Part 1) - Geopandas

575 views

5 years ago

NPTEL IIT Bombay
Tutorial 04 Part 04: Hypothesis Tesing Using Python

Week 5: Tutorial 04 Part 04: Hypothesis Tesing Using Python.

29:15
Tutorial 04 Part 04: Hypothesis Tesing Using Python

738 views

4 years ago

Jeremy Howard
Lesson 5: Deep Learning 2018

NB: Please go to http://course.fast.ai to view this video since there is important updated information there. If you have questions,Ā ...

2:18:39
Lesson 5: Deep Learning 2018

63,455 views

8 years ago

Aaron J Newman
20 - Effects of Intensity on Spike Rate

This lesson expands on the optogenetic spike train data we worked with in the previous chapter. Now we have data recorded fromĀ ...

42:06
20 - Effects of Intensity on Spike Rate

564 views

4 years ago

Tyler Caraza-Harter
CS 320 Nov 2 (Part 1) - Shapely Venn Diagram

... towards my ultimate goal of making the venn diagram i need to somehow get these on a matplotlib area and so you can see i'veĀ ...

24:31
CS 320 Nov 2 (Part 1) - Shapely Venn Diagram

452 views

5 years ago