Myth:
You need a computer science degree to get started with Python, NumPy, and pandas.
Reality:
You need these 8 YouTube videos:
You need a computer science degree to get started with Python, NumPy, and pandas.
Reality:
You need these 8 YouTube videos:
"Python Pandas" by Corey Schafer
Learn the basics of creating and manipulating data frames, indexing and selecting data, and cleaning and manipulating data in Pandas.
youtube.com
Learn the basics of creating and manipulating data frames, indexing and selecting data, and cleaning and manipulating data in Pandas.
youtube.com
"NumPy Array Basics" by sentdex
This video covers the basics of working with NumPy arrays, including creating arrays, indexing and slicing, and performing arithmetic operations.
youtube.com
This video covers the basics of working with NumPy arrays, including creating arrays, indexing and slicing, and performing arithmetic operations.
youtube.com
"Pandas DataFrames" by Keith Galli
Learn how to create and manipulate Pandas DataFrames, including merging and joining data, handling missing data, and filtering data.
youtube.com
Learn how to create and manipulate Pandas DataFrames, including merging and joining data, handling missing data, and filtering data.
youtube.com
"NumPy for Data Science" by freeCodeCamp.org
Learn how to use NumPy for data science tasks, including loading and manipulating data, working with mathematical functions, and performing linear algebra.
youtube.com
Learn how to use NumPy for data science tasks, including loading and manipulating data, working with mathematical functions, and performing linear algebra.
youtube.com
"Pandas Data Cleaning" by Ken Jee
Learn how to clean messy data using Pandas, including dealing with missing data, renaming columns, and handling duplicates.
youtube.com
Learn how to clean messy data using Pandas, including dealing with missing data, renaming columns, and handling duplicates.
youtube.com
"Python Data Science Handbook: Essential Tools for Working with Data" by Jake VanderPlas
Learn about the data science tools available in Python, including NumPy, Pandas, Matplotlib, and Scikit-Learn.
youtube.com
Learn about the data science tools available in Python, including NumPy, Pandas, Matplotlib, and Scikit-Learn.
youtube.com
"Mastering Pandas" by PyCon India
Learn advanced techniques for working with Pandas, including time series analysis, pivot tables, and groupby operations.
youtube.com
Learn advanced techniques for working with Pandas, including time series analysis, pivot tables, and groupby operations.
youtube.com
"NumPy Fundamentals" by SciPy 2019
Learn the fundamentals of NumPy, including array creation, indexing and slicing, and array arithmetic.
youtube.com
Learn the fundamentals of NumPy, including array creation, indexing and slicing, and array arithmetic.
youtube.com
13 hours and 31 minutes of videos from these stars:
β’ freeCodeCamp.org
β’ Jake VanderPlas
β’ Corey Schafer
β’ Keith Galli
β’ PyCon India
β’ SciPy 2019
β’ sentdex
β’ Ken Jee
β’ freeCodeCamp.org
β’ Jake VanderPlas
β’ Corey Schafer
β’ Keith Galli
β’ PyCon India
β’ SciPy 2019
β’ sentdex
β’ Ken Jee
Can't get to all 13.5 hours in one day?
Hop back to the top and retweet the top tweet so you can find it laterβand so others can find it too!
Here's the link:
Hop back to the top and retweet the top tweet so you can find it laterβand so others can find it too!
Here's the link:
Looking to start using Python for market data analysis?
Here's a free Ultimate Guide with everything you need to get started.
Join the 1,000s of people who finally started with Python after reading it:
pyquantnews.com
Here's a free Ultimate Guide with everything you need to get started.
Join the 1,000s of people who finally started with Python after reading it:
pyquantnews.com
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