Python Crash Course: Part 7 - Tuples and Sets Explained
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- čas přidán 23. 07. 2024
- Python tuples and sets are the last fundamental data structures you must learn when writing Python code for analytics and data science.
Part 7 of this Python crash course introduces you to working with Python tuples and sets via hands-on coding.
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
00:38 Explaining Python Tuples with Code
06:05 Explaining Python Sets with Code
10:33 Saving Your Jupyter Notebook
10:53 Free Data Science Crash Courses
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FREE DATA SCIENCE CRASH COURSES
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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
#python #pythonprogramming #pythontutorial #pythonforbeginners #pythoncrashcourse #pythoncourse - 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
And another awesome video. Algorithm, please accept my humble offering and present this video to others. May they find this channel as useful as I do.
Thank you so much for the continued support of the tutorial series! It is much appreciated.
We missed you so much, I'm so glad you're okay
Wow! Thank you. I got burned out on CZcams and took a break. I'm back now and loving it.
Wow 😮
I hope you don't mind, but I assume you liked the tutorial. 😁
@@DaveOnData ya it is very useful tutorial , I waiting shift to advanced level.
Great video. At what point would you say we are able to move on to your free courses on your website?
You can always sign up for one and watch the video. While some of the code hasn't been covered yet, you can still learn the concepts and come back to the video later if you would like.
@@DaveOnData Thats a great Idea. Anyone you might recommend that would help me when dealing with large data sets. Im going to be looking at large sets of data and tagging with meta data for ai. So need something to help or push me in the right direction. Again thanks for taking the time to respond.
If I understand your situation correctly, I would suggest my "Decision Trees with Python" crash course. It's all about crafting ML models that predict labels.