Python Crash Course: Part 6 - Python Dictionaries 101
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- čas přidán 23. 07. 2024
- Python dictionaries are a fundamental data structure you use all the time when writing Python code for analytics and data science.
Part 6 of this Python crash course introduces you to working with Python dictionaries 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
00:35 Data Tables Are Collections of Columns
01:35 Python Dictionaries with Code
13:13 Saving Your Jupyter Notebook
13:32 Free Data Science Crash Courses
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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
#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
David you rock!!!! I really enjoy your teaching. You've taught me so much.....
Thank you for taking the time to leave a comment! I am happy to hear that you are finding my content useful.
Watching, liking and commenting for the algorithm. Will follow along and learn after I'm done with my current dashboard. Gotta pay those bills.
Thank you for the support! Greatly appreciated.
Great stuff man. Best Python course I have seen so far. Wish you taught SQL too lol.
Thank you! Glad you are enjoying the Python crash course.
BTW - I do have a SQL tutorial series on my channel as well.
Thank you for this useful course, it helped me a lot at collage, waiting for the pandas in next course.
You are welcome! The pandas video is taking me longer than I expected to make due to the length.
You are a great teacher, thank you. So are dictionaries and dataframes in python the same thing?
Thank you for the kind words! You can think of dictionaries and pandas DataFrames as being similar at a high level (e.g., accessing collections of data by name). However, pandas DataFrames have a tremendous amount of functionality that dictionaries do not. A better example would be comparing pandas DataFrames to working with tables of data in Excel or SQL.