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Computing with Python Conference

Track :

Programming

Lessons no : 92

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What will you learn in this course?
  • Master Python syntax, data structures, and libraries for high-performance scientific computing and data analysis
  • Implement efficient algorithms and parallel processing techniques using Python for large-scale scientific applications
  • Utilize Python tools for numerical computation, data visualization, and scientific data management in research projects
  • Develop optimized Python code for high-performance computing environments and scientific simulations
  • Apply Python frameworks and libraries to solve complex scientific and engineering problems effectively
  • Leverage Python for data analysis, machine learning, and visualization in scientific research workflows
  • Write scalable Python scripts for high-performance computing tasks and scientific data processing
  • Integrate Python with scientific computing tools like NumPy, SciPy, and Pandas for advanced data analysis

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  • The Certificate is free !
Lessons | 92
NumPy Beginner | SciPy 2016 Tutorial | Alexandre Chabot LeClerc
02:47:34

NumPy Beginner | SciPy 2016 Tutorial | Alexandre Chabot LeClerc
Time Series Analysis with Python Intermediate | SciPy 2016 Tutorial | Aileen Nielsen
03:03:25

Time Series Analysis with Python Intermediate | SciPy 2016 Tutorial | Aileen Nielsen
Machine Learning Part 1 | SciPy 2016 Tutorial | Andreas Mueller Sebastian Raschka
03:03:55

Machine Learning Part 1 | SciPy 2016 Tutorial | Andreas Mueller Sebastian Raschka
Machine Learning for Time Series Data in Python | SciPy 2016 | Brett Naul
00:24:09

Machine Learning for Time Series Data in Python | SciPy 2016 | Brett Naul
Analyzing and Manipulating Data with Pandas Beginner | SciPy 2016 Tutorial | Jonathan Rocher
03:33:55

Analyzing and Manipulating Data with Pandas Beginner | SciPy 2016 Tutorial | Jonathan Rocher
JupyterLab Building Blocks for Interactive Computing | SciPy 2016 | Brian Granger
00:29:31

JupyterLab Building Blocks for Interactive Computing | SciPy 2016 | Brian Granger
Running Python Apps in the Browser | Almar Klein | SciPy 2016
00:25:00

Running Python Apps in the Browser | Almar Klein | SciPy 2016
MDAnalysis A Python Package for the Rapid Analysis of Molecular Dynamics Simulations | SciPy 2016
00:26:18

MDAnalysis A Python Package for the Rapid Analysis of Molecular Dynamics Simulations | SciPy 2016
Bokeh for Data Applications and Visualization Intermediate | SciPy 2016 Tutorial | Bryan Van de Ven
03:34:48

Bokeh for Data Applications and Visualization Intermediate | SciPy 2016 Tutorial | Bryan Van de Ven
Simulating Robot Vehicle Spacecraft and Animal Motion w Python Advanced | SciPy 2016 Tutorial
02:40:29

Simulating Robot Vehicle Spacecraft and Animal Motion w Python Advanced | SciPy 2016 Tutorial
Machine Learning Part 2 | SciPy 2016 Tutorial | Andreas Mueller Sebastian Raschka
03:08:05

Machine Learning Part 2 | SciPy 2016 Tutorial | Andreas Mueller Sebastian Raschka
High Quality High Performance Clustering with HDBSCAN | SciPy 2016 | Leland McInnes
00:22:57

High Quality High Performance Clustering with HDBSCAN | SciPy 2016 | Leland McInnes
Data Science is Software | SciPy 2016 Tutorial | Peter Bull Isaac Slavitt
02:12:26

Data Science is Software | SciPy 2016 Tutorial | Peter Bull Isaac Slavitt
Numba Tell those C bullies to get lost | SciPy 2016 Tutorial | Gil Forsyth Lorena Barba
02:32:01

Numba Tell those C bullies to get lost | SciPy 2016 Tutorial | Gil Forsyth Lorena Barba
What s new in Spyder 3 0 | SciPy 2016 | Carlos Cordoba
00:27:28

What s new in Spyder 3 0 | SciPy 2016 | Carlos Cordoba
Keynote Machine Learning for Social Science | SciPy 2016 | Hanna Wallach
00:49:46

Keynote Machine Learning for Social Science | SciPy 2016 | Hanna Wallach
Datashader Revealing the Structure of Genuinely Big Data | SciPy 2016 | James A Bednar
00:31:51

Datashader Revealing the Structure of Genuinely Big Data | SciPy 2016 | James A Bednar
Reproducible One Button Workflows with the Jupyter Notebook Scons | SciPy 2016 | Jessica Hamrick
00:27:56

Reproducible One Button Workflows with the Jupyter Notebook Scons | SciPy 2016 | Jessica Hamrick
Parallel Python Analyzing Large Datasets Intermediate | SciPy 2016 Tutorial | Matthew Rocklin Mi
03:06:00

Parallel Python Analyzing Large Datasets Intermediate | SciPy 2016 Tutorial | Matthew Rocklin Mi
Symbolic Compution with Python using SymPy Beginner | SciPy 2016 Tutorial | Ondrej Certik et al
02:48:01

Symbolic Compution with Python using SymPy Beginner | SciPy 2016 Tutorial | Ondrej Certik et al
Geographic Data Science with PySAL and the pydata stack Beginner | SciPy 2016 | Sergio Rey
03:31:45

Geographic Data Science with PySAL and the pydata stack Beginner | SciPy 2016 | Sergio Rey
matplotlib Python Plotting Library Beginner | SciPy 2016 Tutorial | Nicolas Rougier
02:59:29

matplotlib Python Plotting Library Beginner | SciPy 2016 Tutorial | Nicolas Rougier
Dask Parallel and Distributed Computing | SciPy 2016 | Matthew Rocklin
00:27:41

Dask Parallel and Distributed Computing | SciPy 2016 | Matthew Rocklin
Constructing Models to Deal with Missing Data | SciPy 2016 | Deborah Hanus
00:28:35

Constructing Models to Deal with Missing Data | SciPy 2016 | Deborah Hanus
PySPH A Reproducible and High performance Framework for Smoothed Particle Hydrodynamics | Prabhu Ra
00:23:43

PySPH A Reproducible and High performance Framework for Smoothed Particle Hydrodynamics | Prabhu Ra
Analysis and Visualization of 3D Data with yt | SciPy 2016 | Matthew Turk
00:29:46

Analysis and Visualization of 3D Data with yt | SciPy 2016 | Matthew Turk
Scikit image Image Analysis in Python Intermediate | SciPy 2016 Tutorial | Stefan van der Walt
02:20:16

Scikit image Image Analysis in Python Intermediate | SciPy 2016 Tutorial | Stefan van der Walt
Automatic Machine Learning | SciPy 2016 | Andreas Mueller
00:29:39

Automatic Machine Learning | SciPy 2016 | Andreas Mueller
Keynote Project Jupyter | SciPy 2016 | Brian Granger
00:48:58

Keynote Project Jupyter | SciPy 2016 | Brian Granger
HyperSpy How to Easily Bend Multi dimensional Data to your Analytical Will | SciPy 2016 |Tomas Osta
00:24:18

HyperSpy How to Easily Bend Multi dimensional Data to your Analytical Will | SciPy 2016 |Tomas Osta
QIIME 2 Self documenting Extensible and Reproducible Microbiome Analysis in Python 3 | SciPy 201
00:27:15

QIIME 2 Self documenting Extensible and Reproducible Microbiome Analysis in Python 3 | SciPy 201
Deep Learning for Image Recognition Beginner | SciPy 2016 Tutorial | Bargava Subramanian
03:24:37

Deep Learning for Image Recognition Beginner | SciPy 2016 Tutorial | Bargava Subramanian
3D Drawing in Python Reviving Visual | SciPy 2016 | Catherine Holloway
00:27:35

3D Drawing in Python Reviving Visual | SciPy 2016 | Catherine Holloway
Working towards all the Geophysics but Backwards | SciPy 2016 | Rowan Cockett
00:24:37

Working towards all the Geophysics but Backwards | SciPy 2016 | Rowan Cockett
PyTeCK A Python based automatic testing package for chemical kinetic models | SciPy 2016 | Kyle Nie
00:29:56

PyTeCK A Python based automatic testing package for chemical kinetic models | SciPy 2016 | Kyle Nie
Scaling Up and Out Programming GPU Clusters with Numba and Dask | SciPy 2016 | Siu Kwan Lam
00:28:11

Scaling Up and Out Programming GPU Clusters with Numba and Dask | SciPy 2016 | Siu Kwan Lam
Diffing and Merging Jupyter Notebooks with nbdime | SciPy 2016 | Min Ragan Kelley
00:32:09

Diffing and Merging Jupyter Notebooks with nbdime | SciPy 2016 | Min Ragan Kelley
Large Scale Geospatial Analytics with Python Spark and Impala | SciPy 2016 | Evan Wyse
00:28:05

Large Scale Geospatial Analytics with Python Spark and Impala | SciPy 2016 | Evan Wyse
Processing a Petabyte of Planetary Pixels with Python | SciPy 2016 | Samuel Skillman
00:26:03

Processing a Petabyte of Planetary Pixels with Python | SciPy 2016 | Samuel Skillman
Generalized Earthquake Focal Mechanism Classification | SciPy 2016 | Ben Lasscock
00:27:27

Generalized Earthquake Focal Mechanism Classification | SciPy 2016 | Ben Lasscock
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