Jupyter productivity hacks for the speedy analyst

Опубликовано: 30 Март 2021
на канале: Chart Explorers

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In this video we go over my favorite productivity hacks / tips / tricks for Jupyter notebook.

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Python & Data Merch - I think this is pretty cool stuff let me know what you think!
https://bit.ly/PythonAndDataMerch

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My Number 1 course recommendation for self learners (affiliate link): bit.ly/GoogleAnalyticsProfessionalCertificate

Udemy Recommendations that I have Personally Taken (affiliate links):
►►Learn Statistics http://bit.ly/Statistics4DSUdemyCE
►►Learn Python http://bit.ly/LearnPythonCE
►►Learn SQL http://bit.ly/LearnSQLCE
►►Learn Data Analysis (this goes into advanced concepts - learn up to and including Logistic regression - you don't need this before you start applying for jobs but it can help) http://bit.ly/PythonMLDS_CE
►►Learn Business Intelligence http://bit.ly/LearnBI_CE
►►Learn Time Series Analysis (this is an important skill in SOME jobs, but you don't need this before you start applying for jobs) http://bit.ly/TimeSeries_CE

For a more technical / hands on approach consider Dataquest (this is where I learned much of what I know). You will learn will learn SQL, Python, R, and more)! This is a recommendation link I do not get paid, but you will get $15 dollars off.
app.dataquest.io/referral-signup/qybqz3r8/

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Recommended Books

United States
►► Python for Data Analysis by Wes McKinney http://bit.ly/PythonAnalysisUS
►► SQL Cookbook by Anthony Molinaro & Robert de Graff http://bit.ly/SQLCookbookUS

UK
►► Python for Data Analysis by Wes McKinney http://bit.ly/PythonAnalysisUK
►► SQL Cookbook by Anthony Molinaro & Robert de Graff http://bit.ly/SQLCookbookUK

Canada
►►Python for Data Analysis by Wes McKinney http://bit.ly/PythonAnalysis
►►SQL Cookbook by Anthony Molinaro & Robert de Graff http://bit.ly/SQLCookbook

These are affiliate links (no extra charge to you, but it helps me out)

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0:00 Intro
0:08 Command & Edit
0:49 help
0:59 Line numbers
1:15 New Cells
1:27 Markdown & code cells
1:38 Highlight Cells
1:44 Merge Cells
1:55 Cut copy paste
2:14 Delete cell
2:24 Find & replace
3:25 Split cells
3:51 Run cells
4:32 Object methods
4:55 Tooltips
5:30 Code completion
6:19 pwd
6:34 File paths
7:20 Comment out
7:25 Cell width
8:05 Multiple cursors