| Tetiana Ivanova - How to become a Data Scientist in 6 months a hacker’s approach to career planning - YouTube |
NAME |
DURATION |
148303 |
None |
2016 |
| Introduction Into Pandas: Python Tutorial - YouTube |
NAME |
DURATION |
46102 |
None |
2017 |
| James Powell - So you want to be a Python expert? - YouTube |
NAME |
DURATION |
28251 |
None |
2017 |
| Introduction To Data Analytics With Pandas - YouTube |
NAME |
DURATION |
25365 |
None |
2017 |
| Jake VanderPlas The Python Visualization Landscape PyCon 2017 - YouTube |
NAME |
DURATION |
20900 |
None |
2017 |
| NumPy Beginner |
SciPy 2016 Tutorial |
Alexandre Chabot LeClerc - YouTube |
NAME |
DURATION |
55887 |
| Machine Learning Part 1 |
SciPy 2016 Tutorial |
Andreas Mueller & Sebastian Raschka - YouTube |
NAME |
DURATION |
47254 |
| Transforming Code into Beautiful, Idiomatic Python - YouTube |
NAME |
DURATION |
340221 |
None |
2013 |
| Modern Dictionaries by Raymond Hettinger - YouTube |
NAME |
DURATION |
44225 |
None |
2016 |
| Brandon Rhodes - Pandas From The Ground Up - PyCon 2015 - YouTube |
NAME |
DURATION |
90778 |
None |
2015 |
| Raymond Hettinger, Keynote on Concurrency, PyBay 2017 - YouTube |
NAME |
DURATION |
14601 |
None |
2017 |
| Pandas for Data Analysis |
SciPy 2017 Tutorial |
Daniel Chen - YouTube |
NAME |
DURATION |
13319 |
| Sofia Heisler No More Sad Pandas Optimizing Pandas Code for Speed and Efficiency PyCon 2017 - YouTube |
NAME |
DURATION |
12155 |
None |
2017 |
| The Fun of Reinvention (Screencast) - YouTube |
NAME |
DURATION |
10785 |
None |
2017 |
| JupyterLab: Building Blocks for Interactive Computing |
SciPy 2016 |
Brian Granger - YouTube |
NAME |
DURATION |
27539 |
| Computational Statistics |
SciPy 2017 Tutorial |
Allen Downey - YouTube |
NAME |
DURATION |
9846 |
| Aileen Nielsen - Time Series Analysis - PyCon 2017 - YouTube |
NAME |
DURATION |
8850 |
None |
2017 |
| Machine Learning for Time Series Data in Python |
SciPy 2016 |
Brett Naul - YouTube |
NAME |
DURATION |
23902 |
| A Visual Guide To Pandas - YouTube |
NAME |
DURATION |
48544 |
None |
2015 |
| Machine Learning with Scikit Learn |
SciPy 2015 Tutorial |
Andreas Mueller & Kyle Kastner Part I - YouTube |
NAME |
DURATION |
48164 |
| Analyzing and Manipulating Data with Pandas Beginner |
SciPy 2016 Tutorial |
Jonathan Rocher - YouTube |
NAME |
DURATION |
22300 |
| Machine Learning with scikit learn Part One |
SciPy 2017 Tutorial |
Andreas Mueller & Alexandre Gram - YouTube |
NAME |
DURATION |
7689 |
| Introduction to Numerical Computing with NumPy |
SciPy 2017 Tutorial |
Dillon Niederhut - YouTube |
NAME |
DURATION |
7542 |
| Matthew Rocklin Dask A Pythonic Distributed Data Science Framework PyCon 2017 - YouTube |
NAME |
DURATION |
7397 |
None |
2017 |
| Raymond Hettinger, “Being a Core Developer in Python”, PyBay2016 - YouTube |
NAME |
DURATION |
19010 |
None |
2016 |
| Super Advanced Python - YouTube |
NAME |
DURATION |
142720 |
None |
2013 |
| Christopher Fonnesbeck - Introduction to Statistical Modeling with Python - PyCon 2017 - YouTube |
NAME |
DURATION |
6885 |
None |
2017 |
| Fully Convolutional Networks for Image Segmentation |
SciPy 2017 |
Daniil Pakhomov - YouTube |
NAME |
DURATION |
6774 |
| Chloe Mawer, Jonathan Whitmore - Exploratory data analysis in python - PyCon 2017 - YouTube |
NAME |
DURATION |
6779 |
None |
2017 |
| Learning TensorFlow - YouTube |
NAME |
DURATION |
17685 |
None |
2016 |
| JupyterHub: Deploying Jupyter Notebooks for students and researchers - YouTube |
NAME |
DURATION |
17091 |
None |
2016 |
| Jeffrey Yau |
Applied Time Series Econometrics in Python and R - YouTube |
NAME |
DURATION |
16843 |
None |
| Christopher Roach |
Visualizing Geographic Data With Python - YouTube |
NAME |
DURATION |
13912 |
None |
| The Other Async (Threads + Async = ❤️) - YouTube |
NAME |
DURATION |
5029 |
None |
2017 |
| Numba - Tell Those C++ Bullies to Get Lost |
SciPy 2017 Tutorial |
Gil Forsyth & Lorena Barba - YouTube |
NAME |
DURATION |
4702 |
| Deploying Interactive Jupyter Dashboards for Visualizing Hundreds of Millions of Datapoints, in 30 L - YouTube |
NAME |
DURATION |
4684 |
None |
2017 |
| Builtin Superheroes (Screencast) - YouTube |
NAME |
DURATION |
12263 |
None |
2016 |
| Sebastian Raschka |
Learning scikit learn - An Introduction to Machine Learning in Python - YouTube |
NAME |
DURATION |
11857 |
None |
| Anatomy of Matplotlib |
SciPy 2017 Tutorial |
Ben Root - YouTube |
NAME |
DURATION |
4307 |
| Alex Rubinsteyn: Python Libraries for Deep Learning with Sequences - YouTube |
NAME |
DURATION |
22558 |
None |
2015 |
| Python’s Class Development Toolkit - YouTube |
NAME |
DURATION |
79744 |
None |
2013 |
| Daniel Chen |
Introduction to Pandas - YouTube |
NAME |
DURATION |
9925 |
None |
| Divya Sardana |
Building Recommender Systems Using Python - YouTube |
NAME |
DURATION |
9803 |
None |
| Stephen Simmons |
Pandas from the Inside - YouTube |
NAME |
DURATION |
9334 |
None |
| Curious Course on Coroutines and Concurrency - YouTube |
NAME |
DURATION |
9215 |
None |
2016 |
| Data Science is Software |
SciPy 2016 Tutorial |
Peter Bull & Isaac Slavitt - YouTube |
NAME |
DURATION |
8960 |
| Joel Grus: Learning Data Science Using Functional Python - YouTube |
NAME |
DURATION |
18160 |
None |
2015 |
| Anatomy of matplotlib |
SciPy 2015 Tutorial |
Benjamin Root and Joe Kington - YouTube |
NAME |
DURATION |
17845 |
| Using Jupyter notebooks to develop and share interactive data displays - YouTube |
NAME |
DURATION |
8108 |
None |
2016 |
| Jake VanderPlas: Machine Learning with Scikit Learn - YouTube |
NAME |
DURATION |
15813 |
None |
2015 |
| Stephen Simmons - Pandas from the Inside / “Big Pandas” - YouTube |
NAME |
DURATION |
2732 |
None |
2017 |
| Sarah Guido The Wild West of Data Wrangling PyCon 2017 - YouTube |
NAME |
DURATION |
2546 |
None |
2017 |
| Parallel Python: Analyzing Large Datasets Intermediate |
SciPy 2016 Tutorial |
Matthew Rocklin & Mi - YouTube |
NAME |
DURATION |
6810 |
| Keynote: Project Jupyter |
SciPy 2016 |
Brian Granger - YouTube |
NAME |
DURATION |
6563 |
| matplotlib (Python Plotting Library) Beginner |
SciPy 2016 Tutorial |
Nicolas Rougier - YouTube |
NAME |
DURATION |
6387 |
| Predicting sports winners using data analytics with pandas and scikit-learn by Robert Layton - YouTube |
NAME |
DURATION |
12866 |
None |
2015 |
| Functional Programming with Python - YouTube |
NAME |
DURATION |
43665 |
None |
2013 |
| Fear and Awaiting in Async (Screencast) - YouTube |
NAME |
DURATION |
5474 |
None |
2016 |
| Awesome Big Data Algorithms - YouTube |
NAME |
DURATION |
41302 |
None |
2013 |
| Brian Granger: All About Jupyter - YouTube |
NAME |
DURATION |
10513 |
None |
2015 |
| Anusua Trivedi: An example of Predictive Analytics: Building a Recommendation Engine using Python - YouTube |
NAME |
DURATION |
10505 |
None |
2015 |
| Iterations of Evolution: The Unauthorized Biography of the For-Loop - YouTube |
NAME |
DURATION |
1811 |
None |
2017 |
| Adventures in scikit-learn’s Random Forest by Gregory Saunders - YouTube |
NAME |
DURATION |
9478 |
None |
2015 |
| Doing Math with Python - YouTube |
NAME |
DURATION |
4524 |
None |
2016 |
| Alex Martelli, "“Good Enough” IS Good Enough!", PyBay2016 - YouTube |
NAME |
DURATION |
3746 |
None |
2016 |
| Renee Chu - Python for Social Scientists: Cleaning and Prepping Data - PyCon 2016 - YouTube |
NAME |
DURATION |
2647 |
None |
2016 |
| Alex Martelli, "“The Tower of Abstraction”, PyBay2016 - YouTube |
NAME |
DURATION |
2543 |
None |
2016 |
| PyMC: Markov Chain Monte Carlo in Python |
SciPy 2014 |
Chris Fonnesbeck - YouTube |
NAME |
DURATION |
9455 |
| Jupyter Advanced Topics Tutorial |
SciPy 2015 Tutorial |
Jonathan Frederic, Matthias Bussonier & Tho - YouTube |
NAME |
DURATION |
3990 |
| Rachel Thomas, “Using randomness to make code much faster”, PyBay2017 - YouTube |
NAME |
DURATION |
645 |
None |
2017 |
| Mahmoud Hashemi, Python Profiling & Performance: elementary to enterprise, PyBay2016 - YouTube |
NAME |
DURATION |
825 |
None |
2016 |
| Dillon Niederhut, “What to do when your data is large, but not big”, PyBay2016 - YouTube |
NAME |
DURATION |
484 |
None |
2016 |
| Cynthia Lin, “Opening Up to Open Source”, PyBay2017 - YouTube |
NAME |
DURATION |
96 |
None |
2017 |
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