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Scientific Computing with Python

  • Gayathri Perumal image

    By - Gayathri Perumal

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Course Description

  • The Scientific Computing with Python course provides a comprehensive introduction to solving scientific and engineering problems using Python programming. Learners will explore numerical methods, data analysis, mathematical modeling, and scientific visualization using powerful Python libraries such as NumPy, SciPy, Pandas, and Matplotlib. The course emphasizes practical applications in research, data science, simulations, and computational problem-solving through hands-on exercises and real-world projects.

Course Outcomes

  • Understand the fundamentals of scientific computing and Python programming.
  • Perform numerical and matrix computations using NumPy.
  • Analyze, manipulate, and process scientific datasets using Pandas.
  • Create effective scientific visualizations and plots using Matplotlib.
  • Apply mathematical and statistical techniques using SciPy libraries.
  • Develop Python-based solutions for scientific and engineering applications.
  • Implement data analysis, simulation, and automation workflows efficiently.
  • Build practical scientific computing projects using modern Python tools and techniques.

Course Curriculum

  • 1 chapters
  • 91 lectures
  • 0 quizzes
  • N/A total length
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1 Introduction to Numerical Computing with NumPy | SciPy 2017 Tutorial | Dillon Niederhut
2 Hours

2 Fully Convolutional Networks for Image Segmentation | SciPy 2017 | Daniil Pakhomov
20.51 Min

3 Numba Tell Those C Bullies to Get Lost | SciPy 2017 Tutorial | Gil Forsyth Lorena Barba
2 Hours

4 Deploying Interactive Jupyter Dashboards for Visualizing Hundreds of Millions of Datapoints in 30 L
18.41 Min

5 Anatomy of Matplotlib | SciPy 2017 Tutorial | Ben Root
3 Hours

6 The Jupyter Interactive Widget Ecosystem | SciPy 2017 Tutorial | Matt Craig Sylvain Corlay Jason
3 Hours

7 Modern Optimization Methods in Python | SciPy 2017 Tutorial | Michael McKerns
3 Hours

8 Parallel Data Analysis in Python | SciPy 2017 Tutorial | Matthew Rocklin Ben Zaitlen Aron Ahmadia
2 Hours

9 scikit image Image Processing for Python | SciPy 2017 Tutorial | Stéfan van der Walt Emmanuelle
3 Hours

10 A Python API for Earth | SciPy 2017 | Sam Skillman
25.42 Min

11 nbgrader A Tool for Creating and Grading Assignments in the Jupyter Notebook | SciPy 2017 | Jessic
24.36 Min

12 Automatic Code Generation with SymPy | SciPy 2017 Tutorial | Jason Aaron Björn Kenneth
2 Hours

13 Machine Learning with scikit learn Part Two | SciPy 2017 Tutorial | Andreas Mueller Alexandre Gram
3 Hours

14 Dask Advanced Techniques | SciPy 2017 | Matthew Rocklin
26.46 Min

15 Cython for Data Scientists and Data Scientists | SciPy 2017 Tutorial | Dillon Niederhut Prabhu
2 Hours

16 Interactive Data Visualization with HoloViews Bokeh | SciPy 2017 Tutorial | Jean Luc Stevens Bry
3 Hours

17 Software Carpentry Scientific Python Course Part 1 | SciPy 2017 Tutorial | Maxim Belkin
3 Hours

18 Parallelizing Scientific Python with Dask | SciPy 2017 Tutorial | James Crist
2 Hours

19 HDF5 take 2 h5py PyTables | SciPy 2017 Tutorial | Tom Kooij
2 Hours

20 Keynote Drilling the Chicxulub Impact Structure Study of Large Impact Formation and Effects
46.08 Min

21 pomegranate | Fast and Flexible Probabilistic Modeling in Python | SciPy 2017 | Jacob Schreiber
29.12 Min

22 Keynote Coding for Science and Innovation | SciPy 2017 | Gaël Varoquaux
49.07 Min

23 SciSheets Providing the Power of Programming with the Simplicity of Spreadsheets | SciPy 2017 | Jo
27.27 Min

24 The Spyder Ecosystem of Plugins | SciPy 2017 | Carlos Cordoba
18.3 Min

25 Scientific Analysis at Scale a Comparison of Five Systems | SciPy 2017 | Jake VanderPlas
28.28 Min

26 Deep Learning with Geospatial Data | SciPy 2017 | Shane Grigsby
28.32 Min

27 Signal Processing and Communications Hands On Using scikit dsp comm | SciPy 2017 Tutorial | Mark Wic
3 Hours

28 bqplot Seamless Interactive Visualizations in the Jupyter Notebook | SciPy 2017 | Dhruv Madeka
27.46 Min

29 Big Data Processing with Apache Beam Python | SciPy 2017 | Robert Bradshaw
21.15 Min

30 Optimised Finite Difference Computation from Symbolic Equations | SciPy 2017 | Michael Lange
22.29 Min

31 Sacred How I Learned to Stop Worrying and Love the Research | SciPy 2017 | Klaus Greff
23.3 Min

32 Bringing the Generic Mapping Tools to Python | SciPy 2017 | Leonardo Uieda Paul Wessel
23.32 Min

33 Keynote Academic Open Source | SciPy 2017 | Kathryn Huff
45.26 Min

34 MatchPy A Pattern Matching Library | SciPy 2017 | Manuel Krebber
25.47 Min

35 Learning in Cycles Implementing Sustainable Machine Learning Models in Production | SciPy 2017 | And
26.03 Min

36 Vizic A Jupyter Based Interactive Visualization Tool for Astronomical Catalogs | SciPy 2017 | Weix
25.5 Min

37 Pygridtools A Collaboration Academia Open Source and the Private Sector | SciPy 2017 | Paul Hobs
28.06 Min

38 Lightning Talks | SciPy 2017 | Wed July 12
53.44 Min

39 Berryconda Scientific Python on the Raspberry Pi | SciPy 2017 | Jonathan Helmus
21.05 Min

40 Stingray A Library of Time Series Methods for Astronomical X Ray Data | SciPy 2017 | Himanshu Mish
15.58 Min

41 Efficient Array Computing in C with xtensor and Apache Arrow | SciPy 2017 | Sylvain Corlay
25.16 Min

42 Efficient Image Search and Identification The Making of Wine O AI | SciPy 2017 | Michelle Gill
21.45 Min

43 Introducing JOSS The Journal of Open Source Software | SciPy 2017 | Kyle Niemeyer
23.2 Min

44 Sarkas A Fast Pure Python Molecular Dynamics Code | SciPy 2017 | Gautham Dharuman
17.11 Min

45 Terabytes at Your Fingertips Interactive Big Data Coding with PySpark | SciPy 2017 | Sam Penrose
28.27 Min

46 Lightning Talks | SciPy 2017 | Fri July 14
1 Hour

47 MNE Python to See the Brain at a Millisecond Time Scale | SciPy 2017 | Alexandre Gramfort
24.13 Min

48 Make it Work Make it Right Make it Fast Debugging and Profiling in Dask | SciPy 2017 | James Cri
23 Min

49 Make Your Observational Study an Experiment | SciPy 2017 | Peter Skipper
23.46 Min

50 Hunting for Emerging Trends in Music Using Bayesian Inference | SciPy 2017 | Alex Companioni
22.47 Min

51 The Demeshening The Next Generation of Particle Support in yt | SciPy 2017 | Goldbaum Lang
24.11 Min

52 Scientific MicroPython on Microcontrollers and IoT | SciPy 2017 | Roberto Colistete Jr
23.58 Min

53 Software Carpentry Scientific Python Course Part 2 | SciPy 2017 Tutorial | Maxim Belkin
3 Hours

54 HDF Data Services | SciPy 2017 | John Readey
27.38 Min

55 Designing a Python based Monte Carlo Tool for Generating Non Equilibrium Semi Crystalline Polymer Co
23.46 Min

56 Lightning Talks | SciPy 2017 | Thurs July 13
59.4 Min

57 Predicting Phenotype from Genotype with Machine Learning | SciPy 2017 | Patricia Francis Lyon
23.28 Min

58 Calculating Radiation Doses for Tumor Treatment with Learning Algorithms | SciPy 2017 | Roy Keyes
25.19 Min

59 The OOF Finite Element Tool for Materials Science | SciPy 2017 | Andrew Reid
25.36 Min

60 A Fast Template Periodogram for Finding Periodic Non Sinusoidal Waveforms in Noisy Irregularly Samp
23.53 Min

61 LabbookDB | SciPy 2017 | Horea Ioan Ioanas
29.17 Min

62 Composable Multiprocessing and Multithreading for Numeric Libraries | SciPy 2017 | Anton Malakhov A
31.35 Min

63 Global 5 Meter Resolution Time Series Mosaics | SciPy 2017 | Amit Kapadia
28.46 Min

64 Dataflow Notebooks Encoding and Using Cell Dependencies | SciPy 2017 | David Koop
24.43 Min

65 MetPy s Choice of Unit Support A Descent into Madness | SciPy 2017 | Ryan May John Leeman
25.32 Min

66 Interactive Geophysics | SciPy 2017 | Lindsey Heagy
20.16 Min

67 Creating Reproducible Experiments with ReproZip | SciPy 2017 | Vicky Steeves Fernando Chirigati R
20.01 Min

68 Rambutan A Python Package for Predicting 3D Genome Architecture | SciPy 2017 | Jacob Schreiber
27.13 Min

69 pulse2percept A Python based Simulation Framework for Bionic Vision | SciPy 2017 | Michael Beyeler
25.55 Min

70 Robust Color Matching of Geospatial Data An Alternative to Histogram Matching | SciPy 2017 | Joe K
29.33 Min

71 Reskit — A Library for Creating and Curating Reproducible Pipelines for Scientific Machine Learning
26.19 Min

72 NEXT Machine Learning Crowdsourcing and Cartoons | SciPy 2017 | Scott Sievert
28.02 Min

73 Systematic Application of PySPH to Bubble Dynamics | SciPy 2017 | Erin Arai
20.14 Min

74 Quantifying Plastic Deformation using Machine Learning | SciPy 2017 | Michail Tzimas
21.29 Min

75 Distributed Convex Optimization for GLMs | SciPy 2017 | Chris White Hussain Sultan
19.41 Min

76 From the Field to Geostationary Orbit Mapping Lightning with Python | SciPy 2017 | Eric Bruning
25.18 Min

77 PyHRF A Python Library for the Analysis of fMRI Data Based on the Study of Hemodynamics | SciPy 20
17.55 Min

78 hybrid vocal classifier HVC a Python Package to Automate Labeling of Birdsong for Behavioral Experim
21.13 Min

79 PyGBe Python GPUs and Boundary Elements for Biomolecular Electrostatics | SciPy 2017 | Natalia Cl
29.1 Min

80 Tomviz A Platform for Reproducible Materials Tomography | SciPy 2017 | Marcus Hanwell
22.14 Min

81 Materials Project A Prime Case of Software Engineering in Materials Sciences | SciPy 2017 | Patric
25.01 Min

82 WARNO Multi platform Monitoring Framework for Remote Sensing Instrumentation | SciPy 2017 | Joseph
20.28 Min

83 ChiantiPy a Python Package for Astrophysical Spectroscopy | SciPy 2017 | Will Barnes Kenneth Der
27.35 Min

84 Time Atmospheric Data During VORTEX SE | SciPy 2017 | Abby Kenyon Aaron Hill
26.34 Min

85 Diversity Inclusion at the SciPy Conference | SciPy 2017 | Julie Hollek
33.39 Min

86 Time Atmospheric Data During VORTEX SE | SciPy 2017 | Abby Kenyon Aaron Hill
26.35 Min

87 Diversity Inclusion at the SciPy Conference | SciPy 2017 | Julie Hollek
33.39 Min

88 Pandas for Data Analysis | SciPy 2017 Tutorial | Daniel Chen
3.45 Min

89 Computational Statistics | SciPy 2017 Tutorial | Allen Downey
2 Hours

90 Dash A New Framework for Building User Interfaces for Technical Computing | SciPy 2017 | Chris Par
27.19 Min

91 Machine Learning with scikit learn Part One | SciPy 2017 Tutorial | Andreas Mueller Alexandre Gram
3 Hours

Instructor

Gayathri Perumal

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  • Duration N/A

  • Lectures 91 lessons

  • Enrolled 0 students

  • Category: Programming

  • 0 Quizzes

  • Language: English

  • Skill Level Beginner

  • Certificate of Completion

  • Full lifetime access

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