Python Crash Course: Part 11 - Using List Comprehensions
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- čas přidán 23. 07. 2024
- List comprehensions are the pythonic way of building new lists from existing lists. Think of list comprehensions as a specialized for loop.
This crash course video will teach you how to work with list comprehensions in your Python code.
After completing this crash course series, you will have the foundational Python skills to take additional analytics, data science, and machine learning courses using Python.
☕ If you found this content useful and would like to support the channel, you can buy me a coffee: www.buymeacoffee.com/DaveOnData
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VIDEO CHAPTERS
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00:00 Intro
00:37 List Comprehension Basics
02:50 Filtering List Comprehensions
04:50 Using Functions with List Comprehensions
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FREE DATA SCIENCE CRASH COURSES
--------------------------------------------------------------------------------------------
If you're ready to see what Python skills make possible, be sure to check out my FREE on-demand data science crash courses!
Here's what you get with any of these courses:
1️⃣ On-Demand: Watch the course when it fits your schedule
2️⃣ PDF of all slides
3️⃣ All Python code as a Jupyter Notebook
4️⃣ All data so you can experiment
5️⃣ Resources to continue your learning.
Data science with Python. You've got this if you want it:
💻 Decision Trees with Python:
bit.ly/DecisionTreesWithPython
💻 Tuning Decision Trees with Python:
bit.ly/TuningDecisionTreesWit...
💻 Logistic Regression with Python:
bit.ly/LogisticRegressionWith...
💻 Cluster Analysis with Python:
bit.ly/ClusterAnalysisWithPython
#pythonforbeginners #pythoncrashcourse #pythoncourse #pythonprogramming #pythontutorial #python - Věda a technologie
--------------------------------------------------------------------------------------------
FREE DATA SCIENCE CRASH COURSES
--------------------------------------------------------------------------------------------
If you're ready to see what Python skills make possible, be sure to check out my FREE on-demand data science crash courses!
Here's what you get with any of these courses:
1 - On-Demand: Watch the course when it fits your schedule
2 - PDF of all slides
3 - All Python code as a Jupyter Notebook
4 - All data so you can experiment
5 - Resources to continue your learning.
Data science with Python. You've got this if you want it:
💻 Decision Trees with Python:
bit.ly/DecisionTreesWithPython
💻 Tuning Decision Trees with Python:
bit.ly/TuningDecisionTreesWithPython
💻 Logistic Regression with Python:
bit.ly/LogisticRegressionWithPython
💻 Cluster Analysis with Python:
bit.ly/ClusterAnalysisWithPython
Nice video series. Very useful for those trying to dip into Python.
Love the tag line “You learn Python by writing Python.”
Thank you for the kind words! I am glad you have enjoyed the content.
Great and informative video as always.
Thank you! This tutorial series is certainly a labor of love. Glad you are enjoying it.
Great videos as always and thanks for the job of doing this python crash course.
You are welcome! I am glad you are finding the content useful.
NumPy coming soon?
I don't have any plans for a numpy video because I never use it in my work.
@@DaveOnData makes sense, I thought it would be a logical next step between python and pandas, but as it’s a core component of pandas it would make just as much sense to leave it behind as an abstraction layer of pandas if you head down that path.
Precisely! To your point, it is more accurate to say I only use numpy indirectly in my work.
BTW - I am working on a pandas tutorial video. Stay tuned for that.