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Salesforce, Python, SQL, & other ways to put your data where you need it -- a bilingual blog in English & French

Bienvenue! Welcome!

My goal is to help you work faster.

I must speak and teach until I hear 10 people say, "That thing you taught me? I used it! And it saved me time!"

(Ahem ... although maybe blogging slower than I'd hoped. Ugh, coders' repetitive stress injury.)

So check out the tutorials. Play with code. Tell me about your triumphs.

Cleaning bad Pardot data with Python

15 Feb 2019 🔖 python pardot salesforce tutorials api 💬 EN

This is an intermediate-level “Python for Salesforce” post – but still “admineloper”-level (e.g. you can code a basic trigger comfortably). Today we’ll go into a bit different usage for Python than we’ve been doing with CSV/XLSX-modifying!

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Git brain dump

12 Feb 2019 🔖 git tutorials 💬 EN

I barely know anything about Git, but I’m about to get trained in on more.
So I’m checkpointing what I think I do know at this point, in an “explain it like I’m five” fashion.

“OMG, you have it all wrong!” comments welcome.
(“OMG, that’s technically correct but painfully oversimplified” comments not necessary at this point.) 😃

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Telling Sourcetree about one of my GitHub repositories

12 Feb 2019 🔖 git tutorials 💬 EN

I edit this blog using Git. Learn how I set up graphical software called SourceTree to make it easier.
(This is also a gentle way to start getting used to concepts behind Git if you’re a Salesforce administrator who wants to learn SFDX.)

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Modification des données CSV / XLSX en Python pour admins Salesforce : vidéo et notes

09 Feb 2019 🔖 python pandas csv excel feuilles de calcul tutoriels salesforce samedi salesforce 💬 FR

Revoir la démonstration du 09 fév sur la simplicité et la puissance du Python pour modifier les feuilles de calcul – déstinée surtout aux administrateurs Salesforce.

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Python for Salesforce: List unique values found across similar Salesforce fields

31 Jan 2019 🔖 python pandas csv excel tutorials salesforce 💬 EN ( FR )

Salesforce SOQL’s SELECT...COUNT...GROUP BY works great to find unique values present in a single field, but what if you have 50 nearly-identical fields and want to find unique values used in any of them? Python to the rescue – read on!

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