From d443690b66221aa9ae3e807647897f146ee50109 Mon Sep 17 00:00:00 2001 From: Manikantagit Date: Mon, 18 Nov 2024 23:09:40 +0530 Subject: [PATCH] Update 485-secure-coding-for-python-with-shehackspurple.txt --- ...re-coding-for-python-with-shehackspurple.txt | 17 ++++++++--------- 1 file changed, 8 insertions(+), 9 deletions(-) diff --git a/transcripts/485-secure-coding-for-python-with-shehackspurple.txt b/transcripts/485-secure-coding-for-python-with-shehackspurple.txt index b20435cb..1220439d 100644 --- a/transcripts/485-secure-coding-for-python-with-shehackspurple.txt +++ b/transcripts/485-secure-coding-for-python-with-shehackspurple.txt @@ -1,6 +1,6 @@ 00:00:00 What do developers need to know about AppSec and building secure software? -00:00:03 We have Tanya Janka, aka SheHacksPurple, on the show to tell us all about it. +00:00:03 We have Tanya Janca, aka SheHacksPurple, on the show to tell us all about it. 00:00:09 We talk about what developers should expect from threat modeling sessions, @@ -28,15 +28,15 @@ 00:00:57 Subscribe to our YouTube channel over at talkpython.fm/youtube and get notified about upcoming shows. -00:01:04 This episode is sponsored by PositConnect from the makers of Shiny. +00:01:04 This episode is sponsored by Posit Connect from the makers of Shiny. 00:01:08 Publish, share, and deploy all of your data projects that you're creating using Python. 00:01:13 Streamlit, Dash, Shiny, Bokeh, FastAPI, Flask, Quarto, Reports, Dashboards, and APIs. -00:01:19 PositConnect supports all of them. +00:01:19 Posit Connect supports all of them. -00:01:22 Try PositConnect for free by going to talkpython.fm/Posit. +00:01:22 Try Posit Connect for free by going to talkpython.fm/Posit. 00:01:27 P-O-S-I-T. @@ -128,7 +128,7 @@ 00:03:33 Hacks is interesting. -00:03:36 And Canada. +00:03:36 And Tanya. 00:03:36 Tell us about yourself. @@ -344,7 +344,7 @@ 00:07:55 modeling and what are some of the takeaways? -00:07:57 Obviously our audience here is largely Python developers, data scientists, and a ginormous assorted +00:07:57 Obviously our audience here is largely Python developers, data scientists, and a enormous assorted 00:08:05 other that sort of orbits around those spaces. @@ -776,7 +776,7 @@ 00:20:07 And I was like, yeah, but they're right and we're wrong this time. -00:20:11 Because sometimes the security team's being so completely unflexible. +00:20:11 Because sometimes the security team's being so completely inflexible. 00:20:16 And I'm like, listen, this is like a minute risk if you really think about it. @@ -2338,7 +2338,7 @@ 00:58:22 So if you're just doing select statements, just do a read-only user. -00:58:25 If you're doing CRED, create, read, update, delete, then you should use a read-write user. +00:58:25 If you're doing CRUD, create, read, update, delete, then you should use a read-write user. 00:58:31 But DBO is not almost ever actually needed, if we think about it. @@ -2817,4 +2817,3 @@ 01:09:04 Now get out there and write some Python code. 01:09:20 I'll see you next time. -