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Scientifi with Python

Track :

Programming

Lessons no : 102

For Free Certificate After Complete The Course

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What will you learn in this course?
  • Master Python variables, loops, conditionals, and functions for scientific computing applications
  • Utilize advanced data structures like lists, dictionaries, and sets to manage complex datasets efficiently
  • Implement Python libraries such as NumPy and Pandas for data analysis and scientific computations
  • Develop algorithms to process and visualize scientific data effectively using Python tools
  • Apply Python networking modules to retrieve and analyze data from online scientific sources
  • Design and manage relational databases to store and query scientific research data
  • Automate data collection and processing workflows with Python scripting techniques
  • Optimize code performance for large-scale scientific data processing tasks
  • Create reproducible scientific experiments using Python scripting and version control integration
  • Integrate Python with external scientific tools and software for comprehensive analysis
  • Implement error handling and debugging strategies to ensure robust scientific code
  • Utilize Python for statistical analysis and data modeling in scientific research
  • Develop interactive visualizations to communicate scientific findings clearly
  • Apply Python to automate repetitive tasks in scientific data management and analysis
  • Use Python to perform data cleaning, transformation, and validation for research datasets
  • Leverage Python's capabilities to support collaborative scientific research and data sharing

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 102
Introduction to Numerical Computing with NumPy | SciPy 2019 Tutorial | Alex Chabot Leclerc
02:15:50

Introduction to Numerical Computing with NumPy | SciPy 2019 Tutorial | Alex Chabot Leclerc
Optimizing Python Based Spectroscopic Data Processing on NERSC Supercomputers | SciPy 2019 |
00:30:13

Optimizing Python Based Spectroscopic Data Processing on NERSC Supercomputers | SciPy 2019 |
Lights Camera Action Scrape Explore and Model to Predict Oscar Winners | SciPy 2019 | Hanus
01:34:55

Lights Camera Action Scrape Explore and Model to Predict Oscar Winners | SciPy 2019 | Hanus
Day 1 SciPy Tools Plenary Session | SciPy 2019 |
00:23:42

Day 1 SciPy Tools Plenary Session | SciPy 2019 |
Testing your Python Code with PyTest | Scipy 2019 Tutorial | John Leeman Ryan May
01:59:40

Testing your Python Code with PyTest | Scipy 2019 Tutorial | John Leeman Ryan May
To a Billion Beyond How to Visually Explore Compare Share Large Quant Datasets w HiGlass
00:28:06

To a Billion Beyond How to Visually Explore Compare Share Large Quant Datasets w HiGlass
Bayesian Statistics Made Simple | Scipy 2019 Tutorial | Allen Downey
02:19:13

Bayesian Statistics Made Simple | Scipy 2019 Tutorial | Allen Downey
The Invisible Work of Maintaining Sustaining Open Source Software | SciPy 2019 Keyote | S Geiger
00:46:50

The Invisible Work of Maintaining Sustaining Open Source Software | SciPy 2019 Keyote | S Geiger
Day 1 Lightning Talks | SciPy 2019 |
00:54:18

Day 1 Lightning Talks | SciPy 2019 |
ML NET in Python with NimbusML | SciPy 2019 | Interlandi Krivosheev Weimer Zahirazami Zhu
00:28:49

ML NET in Python with NimbusML | SciPy 2019 | Interlandi Krivosheev Weimer Zahirazami Zhu
Optuna A Define by Run Hyperparameter Optimization Framework | SciPy 2019 |
00:26:37

Optuna A Define by Run Hyperparameter Optimization Framework | SciPy 2019 |
Safe Handling Instructions for Probabilistic Classification | SciPy 2019 | Gordon Chen
00:26:19

Safe Handling Instructions for Probabilistic Classification | SciPy 2019 | Gordon Chen
Starfish Standardizing Pipelines for Image Based Transcriptomics | SciPy 2019 | Shannon Axelrod
00:20:22

Starfish Standardizing Pipelines for Image Based Transcriptomics | SciPy 2019 | Shannon Axelrod
Test Research Code the Easy Way By Generating Random Inputs with Hypothesis | SciPy 2019 |
00:21:42

Test Research Code the Easy Way By Generating Random Inputs with Hypothesis | SciPy 2019 |
To Comment or Not to Comment A Data Driven Look at Conflicting Attitudes Towards Commenting
00:30:01

To Comment or Not to Comment A Data Driven Look at Conflicting Attitudes Towards Commenting
Using Nix for Repeatable Python Environments | SciPy 2019 | Daniel Wheeler
00:33:48

Using Nix for Repeatable Python Environments | SciPy 2019 | Daniel Wheeler
Vaex Out of Core Dataframes for Python | SciPy 2019 | Maarten Breddels
00:28:59

Vaex Out of Core Dataframes for Python | SciPy 2019 | Maarten Breddels
Day 1Welcome | SciPy 2019 | Serge Rey
00:12:02

Day 1Welcome | SciPy 2019 | Serge Rey
Zarr Scalable Storage of Tensor Data for Use in Parallel and Distributed Computing | SciPy 2019 |
00:31:58

Zarr Scalable Storage of Tensor Data for Use in Parallel and Distributed Computing | SciPy 2019 |
freud A Software Suite for High Throughput Analysis of Nanoscale Simulation Data | SciPy 2019 |
00:30:40

freud A Software Suite for High Throughput Analysis of Nanoscale Simulation Data | SciPy 2019 |
Git “Hooked” On Images In Your Version Control Up Your Documentation Game | SciPy 2019 | Hanus
00:29:19

Git “Hooked” On Images In Your Version Control Up Your Documentation Game | SciPy 2019 | Hanus
imglyb Bridging The Chasm Between ImageJ and NumPy | SciPy 2019 | Philipp Hanslovsky
00:29:39

imglyb Bridging The Chasm Between ImageJ and NumPy | SciPy 2019 | Philipp Hanslovsky
Inclusive Leadership Engaging Contributors in the Long Term | SciPy 2019 | Tania Allard
00:30:52

Inclusive Leadership Engaging Contributors in the Long Term | SciPy 2019 | Tania Allard
Inside NumPy Preparing for the Next Decade | SciPy 2019 | Gommers Picus Reddy van der Walt
00:31:16

Inside NumPy Preparing for the Next Decade | SciPy 2019 | Gommers Picus Reddy van der Walt
Visualization of Bioinformatics Data with Dash Bio | SciPy 2019 | Shammamah Hossain
00:27:45

Visualization of Bioinformatics Data with Dash Bio | SciPy 2019 | Shammamah Hossain
A Geographers Journey into AI Mapping Urban Trees from Scratch | SciPy 2019 |
00:23:46

A Geographers Journey into AI Mapping Urban Trees from Scratch | SciPy 2019 |
Data Analysis Tools for the James Webb Space Telescope Confluence of Academia NASA Open Source
00:29:57

Data Analysis Tools for the James Webb Space Telescope Confluence of Academia NASA Open Source
Fast Gradient Boosting Decision Trees with PyGBM and Numba | SciPy 2019 |
00:26:55

Fast Gradient Boosting Decision Trees with PyGBM and Numba | SciPy 2019 |
Getting Started with JupyterLab | SciPy 2019 Tutorial | M Bussonnier J Grout S Stattel
02:46:39

Getting Started with JupyterLab | SciPy 2019 Tutorial | M Bussonnier J Grout S Stattel
Introduction to Data Processing in Python with Pandas | SciPy 2019 Tutorial | Daniel Chen
03:00:19

Introduction to Data Processing in Python with Pandas | SciPy 2019 Tutorial | Daniel Chen
Deep Learning Fundamentals Forward Model Differentiable Loss Function Optimization | SciPy 2019
02:23:35

Deep Learning Fundamentals Forward Model Differentiable Loss Function Optimization | SciPy 2019
Intro to Bayesian Model Evaluation Visualization Comparison Using ArviZ | SciPy 2019 Tutorial |
02:42:41

Intro to Bayesian Model Evaluation Visualization Comparison Using ArviZ | SciPy 2019 Tutorial |
Introduction to Matplotlib | SciPy 2019 Tutorial | Hannah Aizenman Thomas Caswell
03:02:10

Introduction to Matplotlib | SciPy 2019 Tutorial | Hannah Aizenman Thomas Caswell
Bayesian Data Science Probabilistic Programming | SciPy 2019 Tutorial | Eric Ma
03:28:59

Bayesian Data Science Probabilistic Programming | SciPy 2019 Tutorial | Eric Ma
Intermediate Methods for Geospatial Data Analysis | SciPy 2019 Tutorial | Serge Rey Levi Wolf
03:25:39

Intermediate Methods for Geospatial Data Analysis | SciPy 2019 Tutorial | Serge Rey Levi Wolf
Land on Vector Spaces Practical Linear Algebra with Python | SciPy 2019 Tutorial | L Barba T Wang
03:35:50

Land on Vector Spaces Practical Linear Algebra with Python | SciPy 2019 Tutorial | L Barba T Wang
Using SatPy to Process Earth observing Satellite Data | SciPy 2019 Tutorial | David Hoese
03:10:10

Using SatPy to Process Earth observing Satellite Data | SciPy 2019 Tutorial | David Hoese
Introduction to Python | SciPy 2019 Tutorial | Matt Davis
02:33:38

Introduction to Python | SciPy 2019 Tutorial | Matt Davis
Modern Time Series Analysis | SciPy 2019 Tutorial | Aileen Nielsen
03:12:13

Modern Time Series Analysis | SciPy 2019 Tutorial | Aileen Nielsen
Visual Diagnostics at Scale More Informed Machine Learning with Large Datasets | SciPy 2019 |Bilbro
00:28:22

Visual Diagnostics at Scale More Informed Machine Learning with Large Datasets | SciPy 2019 |Bilbro
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In the Scientific Computing with Python Certification, you'll learn Python fundamentals like variables, loops, conditionals, and functions. Then you'll quickly ramp up to complex data structures, networking, relational databases .