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Computing with Python

Track :

Programming

Lessons no : 116

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What will you learn in this course?
  • Master Python variables, data types, and operators for efficient coding and data manipulation
  • Implement control flow with loops and conditionals to solve real-world programming problems
  • Design and utilize functions to create modular, reusable, and maintainable Python code
  • Apply Python scripting skills for automation, data processing, and task automation workflows
  • Develop basic algorithms and problem-solving strategies using Python programming techniques
  • Utilize Python libraries for data analysis, visualization, and machine learning applications
  • Debug and troubleshoot Python code effectively to ensure program reliability and performance
  • Create Python programs that interact with files, databases, and external data sources
  • Implement error handling and exception management to build robust Python applications
  • Use Python for web scraping, data extraction, and automation of repetitive tasks
  • Build simple graphical user interfaces (GUIs) with Python for user-friendly applications
  • Integrate Python with APIs to fetch, send, and process data across platforms
  • Apply Python in data science workflows for cleaning, analyzing, and visualizing datasets
  • Write efficient, optimized Python code for large-scale data processing and analysis
  • Understand Python best practices for code readability, documentation, and version control
  • Develop foundational skills for advancing into machine learning, AI, and data engineering with Python

How to Get The Certificate

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Lessons | 116
Basic Sound Processing in Python | SciPy 2015 | Allen Downey
00:18:59

Basic Sound Processing in Python | SciPy 2015 | Allen Downey
A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt
00:19:09

A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt
Introduction to NumPy | SciPy 2015 Tutorial | Eric Jones
02:42:52

Introduction to NumPy | SciPy 2015 Tutorial | Eric Jones
Librosa Audio and Music Signal Analysis in Python | SciPy 2015 | Brian McFee
00:18:11

Librosa Audio and Music Signal Analysis in Python | SciPy 2015 | Brian McFee
Machine Learning with Scikit Learn | SciPy 2015 Tutorial | Andreas Mueller Kyle Kastner Part I
03:22:05

Machine Learning with Scikit Learn | SciPy 2015 Tutorial | Andreas Mueller Kyle Kastner Part I
Deploying Python Machine Learning Models in Production | SciPy 2015 | Krishna Sridhar
00:19:06

Deploying Python Machine Learning Models in Production | SciPy 2015 | Krishna Sridhar
Analyzing and Manipulating Data with Pandas | SciPy 2015 Tutorial | Jonathan Rocher
03:43:15

Analyzing and Manipulating Data with Pandas | SciPy 2015 Tutorial | Jonathan Rocher
Cython Blend the Best of Python and C | SciPy 2015 Tutorial | Kurt Smith
03:42:02

Cython Blend the Best of Python and C | SciPy 2015 Tutorial | Kurt Smith
HDF5 is Eating the World | SciPy 2015 | Andrew Collette
00:18:31

HDF5 is Eating the World | SciPy 2015 | Andrew Collette
Image Analysis in Python with SciPy and Scikit Image | SciPy 2015 Tutorial | Stefan Van der Walt
03:03:03

Image Analysis in Python with SciPy and Scikit Image | SciPy 2015 Tutorial | Stefan Van der Walt
Modern Optimization Methods in Python | SciPy 2015 Tutorial | Mike McKerns
03:04:43

Modern Optimization Methods in Python | SciPy 2015 Tutorial | Mike McKerns
VisPy Harnessing The GPU For Fast High Level Visualization | SciPy 2015 | Luke Campagnola
00:18:25

VisPy Harnessing The GPU For Fast High Level Visualization | SciPy 2015 | Luke Campagnola
Agent Based Modeling in Python with Mesa | SciPy 2015 | Jackie Kazil David Masad
00:18:17

Agent Based Modeling in Python with Mesa | SciPy 2015 | Jackie Kazil David Masad
Statistical Thinking for Data Science | SciPy 2015 | Chris Fonnesbeck
00:23:50

Statistical Thinking for Data Science | SciPy 2015 | Chris Fonnesbeck
Anatomy of matplotlib | SciPy 2015 Tutorial | Benjamin Root and Joe Kington
03:18:14

Anatomy of matplotlib | SciPy 2015 Tutorial | Benjamin Root and Joe Kington
Geospatial Data with Open Source Tools in Python | SciPy 2015 Tutorial | Kelsey Jordahl
03:03:00

Geospatial Data with Open Source Tools in Python | SciPy 2015 Tutorial | Kelsey Jordahl
Keynote State of the Tools | SciPy 2015 | Jake VanderPlas
00:45:06

Keynote State of the Tools | SciPy 2015 | Jake VanderPlas
Accelerating Python with the Numba JIT Compiler | SciPy 2015 | Stanley Seibert
00:20:22

Accelerating Python with the Numba JIT Compiler | SciPy 2015 | Stanley Seibert
Building Python Data Apps with Blaze and Bokeh | SciPy 2015 Tutorial | Christine Doig Cardet
03:20:19

Building Python Data Apps with Blaze and Bokeh | SciPy 2015 Tutorial | Christine Doig Cardet
Teaching with IPython Jupyter Notebooks and JupyterHub | SciPy 2015 | Jessica Hamrick
00:19:57

Teaching with IPython Jupyter Notebooks and JupyterHub | SciPy 2015 | Jessica Hamrick
Multibody Dynamics and Control with Python | SciPy 2015 Tutorial | Jason Moore James Crist
02:42:45

Multibody Dynamics and Control with Python | SciPy 2015 Tutorial | Jason Moore James Crist
Keynote My Data Journey with Python |SciPy 2015 | Wes McKinney
00:47:46

Keynote My Data Journey with Python |SciPy 2015 | Wes McKinney
pgmpy Probabilistic Graphical Models using Python | SciPy 2015 | Ankur Ankan Abinash Panda
00:11:53

pgmpy Probabilistic Graphical Models using Python | SciPy 2015 | Ankur Ankan Abinash Panda
Scientific Data Analysis and Visualization with VTK and ParaView | SciPy 2015 | Cory Quammen
00:16:26

Scientific Data Analysis and Visualization with VTK and ParaView | SciPy 2015 | Cory Quammen
Perceptual Color Maps in matplotlib for Oceanography | SciPy 2015 | Kristen Thyng
00:19:40

Perceptual Color Maps in matplotlib for Oceanography | SciPy 2015 | Kristen Thyng
Efficient Python for High Performance Parallel Computing | SciPy 2015 Tutorial | Mike McKerns
03:23:50

Efficient Python for High Performance Parallel Computing | SciPy 2015 Tutorial | Mike McKerns
The Polyglot Beaker Notebook | SciPy 2015 | Scott Draves
00:19:21

The Polyglot Beaker Notebook | SciPy 2015 | Scott Draves
Machine Learning with Scikit Learn | SciPy 2015 Tutorial | Andreas Mueller Kyle Kastner Part II
03:16:10

Machine Learning with Scikit Learn | SciPy 2015 Tutorial | Andreas Mueller Kyle Kastner Part II
Will Millennials Ever Get Married Survival Analysis and Marriage Data | SciPy 2015 | Allen Downey
00:18:50

Will Millennials Ever Get Married Survival Analysis and Marriage Data | SciPy 2015 | Allen Downey
Software Carpentry 2 Day Scientific Python Course Part 1 of 4 | SciPy 2015 Tutorial | Azalee Bos
02:53:08

Software Carpentry 2 Day Scientific Python Course Part 1 of 4 | SciPy 2015 Tutorial | Azalee Bos
Computational Statistics I | SciPy 2015 Tutorial | Allen Downey
01:43:08

Computational Statistics I | SciPy 2015 Tutorial | Allen Downey
xray N D Labeled Arrays and Datasets | SciPy 2015 | Stephan Hoyer
00:19:25

xray N D Labeled Arrays and Datasets | SciPy 2015 | Stephan Hoyer
Dask Out of core NumPy Pandas through Task Scheduling | SciPy 2015 | James Crist
00:16:07

Dask Out of core NumPy Pandas through Task Scheduling | SciPy 2015 | James Crist
Software Carpentry 2 Day Scientific Python Course Part 2 of 4 | SciPy 2015 Tutorial | Azalee Bos
02:48:28

Software Carpentry 2 Day Scientific Python Course Part 2 of 4 | SciPy 2015 Tutorial | Azalee Bos
Story Time with Bokeh | SciPy 2015 | Bryan Van de Ven
00:19:31

Story Time with Bokeh | SciPy 2015 | Bryan Van de Ven
Jupyter Advanced Topics Tutorial | SciPy 2015 Tutorial | Jonathan Frederic Matthias Bussonier Tho
02:48:53

Jupyter Advanced Topics Tutorial | SciPy 2015 Tutorial | Jonathan Frederic Matthias Bussonier Tho
ETE A Python Programming Toolkit for the Analysis and Visualization of Trees | SciPy 2015 | Jaime
00:24:58

ETE A Python Programming Toolkit for the Analysis and Visualization of Trees | SciPy 2015 | Jaime
Computational Statistics II | SciPy 2015 Tutorial | Chris Fonnesbeck
03:01:35

Computational Statistics II | SciPy 2015 Tutorial | Chris Fonnesbeck
Deep Learning Tips from the Road | SciPy 2015 | Kyle Kastner
00:19:02

Deep Learning Tips from the Road | SciPy 2015 | Kyle Kastner
Python as a First Programming Language for Biomedical Scientists | SciPy 2015 | Jeannie Irwin
00:22:10

Python as a First Programming Language for Biomedical Scientists | SciPy 2015 | Jeannie Irwin
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Python is one of the most popular, flexible programming languages today. You can use it for everything from basic scripting to machine learning you'll learn Python fundamentals like variables, loops, conditionals, and functions.