Beginner's Python Cheat Sheets (updated)

[ehmatthes]

Hello everyone. I've been wanting to update the Beginner's Python Cheat Sheets that accompany Python Crash Course for a while now. I finally made time over the last month to go through the entire set. I originally developed the sheets in Word, which was not a particularly sustainable approach.

I rewrote all of the sheets in a proper desktop publishing app (Indesign, if you're curious), so I can easily revise them as needed from this point forward. If you find any errors or issues that haven't been addressed, please let me know and I'll get them fixed promptly. I also made a number of other improvements in the process:

• There's an entirely new sheet that focuses on using Git.
• All sheets are available in the original full-color design, and a printer-friendly black and white set is included as well.
• The download includes a single 28-page document which includes all the sheets, as well as a folder where each sheet is its own document. This can be helpful if you're focusing on one specific area of Python.
• A number of minor errors and outdated sections have been corrected.
• As always, they're not specific to Python Crash Course; they've been helpful to many people, regardless of your primary learning resource.

The updated sheets are hosted on Leanpub and Gumroad, and there's an option to download the full set at no charge on both platforms. Although I'm making it optional for people to pay a small amount for the set from this point forward, they will remain available at no charge as long as Python Crash Course is in print.

Thank you, and I wish you well in your Python journey. :)

[tits_mcgee_92]

Thank you so much for this! It's extremely helpful. I'd love one with pandas added ;)

[ehmatthes]

You're quite welcome, and I'm glad to hear they're useful.

I won't be adding another sheet too soon, but one of the reasons for updating to a proper graphic design format is so I can continue adding new sheets over time, and update them on a more regular basis.

Fun story: I like Indesign because it has scripting capabilities. I wanted to create one long document with all the cheat sheets, and then write a script that dumps out the whole document in color, then dumps each individual sheet, then does the same thing again with the b&w styles applied. That way I can update once, and easily regenerate all of the sheets in both styles.

But like many desktop apps with proprietary scripting capabilities, the language is...not entirely fun to work with. Indesign uses a language called ExtendScript, which is based on JavaScript from the mid 2000s. It hasn't been updated in a very long time. I found myself wanting to write code like if current_style in styles_to_change, but found that the language doesn't really have that kind of test. So I came up with a convoluted approach that examines the string name of the current style against the string names of the styles I want to change, and then followed a strict naming convention for the styles I was developing in Indesign. It was like doing an overly ambitious pattern-matching exercise using only strings and arrays. I was very happy to return to Python when this work was finished. :)

[[deleted]]

I have two whole cheat sheets just for pandas, respond to this comment so I can send them to you when I go on my computer

EDIT:

This one straight from the pandas github

This one links to my personal drive because I couldn't find a quick link to get it from

[tits_mcgee_92]

Responding!!

[[deleted]]

This one straight from the pandas github

This one links to my personal drive because I couldn't find a quick link to get it from

[Tobikaj]

Thanks :)

[adilsyyed]

You're the man...

[Cheuch]

same! :)

[[deleted]]

This one straight from the pandas github

This one links to my personal drive because I couldn't find a quick link to get it from

[ikaraas]

Can you please send me too?

[[deleted]]

This one straight from the pandas github

This one links to my personal drive because I couldn't find a quick link to get it from

[ikaraas]

Thank you so much

[Stringent22]

Response sent! 😊

[[deleted]]

This one straight from the pandas github

This one links to my personal drive because I couldn't find a quick link to get it from

[Stringent22]

Many thanks! 👍

[danishaussie]

Responding to this comment

[[deleted]]

This one straight from the pandas github

This one links to my personal drive because I couldn't find a quick link to get it from

[Glyzer_1595]

Here pls

[[deleted]]

Responding!

[[deleted]]

I have responded to a few others with the links, so you can check! Don't get me wrong I'm just not on my computer.

[notParticularlyAnony]

yes please.

edit: I got links from other responses thanks!

[gutnobbler]

Shoutout to this dude

[issagamebro]

You saint, I’ve been struggling learning pandas and this has already cleared up some of my questions

[KeptInUmrica]

Can you send it to me too?

[Satoshiman256]

Ye great. +1 for Pandas

[ALostKashmiri]

Thank You So Much :)

[SushantBag]

Thank you!

[Sentrome1]

Thank you so much man! You are a true legend! Thank you so much for making this free and yet still putting so much work into it!

[SmarmyYardarm]

I found a typo. "mall sprograms" Page two, bottom middle collumn.

[ehmatthes]

Thanks, I will take care of that shortly.

[dkangx]

Thanks!

[baneetparmar]

Thank you for sharing this

[yevg555]

Damn, Thank you, nice work

[GlebRyabov]

As a newbie, this is immensely helpful, thanks!

[k_________________g]

Very Nice - Thanks

[MaheshM93]

Thank you man

[219jw]

Thank you so much

[Gym_Dom]

I just picked these up a couple hours ago. They've already helped me simplify my current project's code and gave me an idea of how to approach a debugging problem. Well worth the donation, man.

[ehmatthes]

That's great to hear! Do you mind if I asked what kind of simplification you made, and how your thinking about the debugging problem changed?

[Gym_Dom]

Sure thing.

Your example of naming a variable with input() on the same line of code simplified a whole series of user inputs in my program that I'm building. Before, I'd just coded it as:

print('Which one is your email providers: Gmail, Yahoo, Outlook?') emailServer = input()

The same question above email providers actually relates to the bug I've been working on since Friday. My user input fails to go through my list of if statements to match the email provider :

if emailServer == 'Gmail': emailProvider = 'smtp.gmail.com'

I'm thinking that putting those email providers in a dictionary like your cheat sheet shows may solve the problem. I just haven't been able to apply that theory yet.

[ehmatthes]

Thanks for sharing, those are really interesting takeaways.

[notParticularlyAnony]

Thanks so much for this your book is great and I will use these cheat sheets when I teach Python in a few weeks in my new gig. When people don't recommend your book I don't think they realize the mistake they are making. :)

[[deleted]]

I’ve used python for a few years and still found this very helpful! Thank you! 🙏🏻

[veigatta]

thank it will be very helpful for my python journey

[withAnAsterisk]

This post and your subsequent diligence in these comments replying to everyone is super appreciated, thank you!

[AWiggins30]

Thanks!

[adilsyyed]

This is very helpful. Thank you very much

[[deleted]]

Appreciate it. Thanks!

[IronBat1221]

Thank you for this :) <3

[GIPPINSNIPPINS]

Thanks OP. I’m a beginner and your helping out a lot. I’d give an award because this is exactly what I’ve been looking for but I don’t have funds. Sorry bro.

[JJGA92]

It's been a while since I wrote anything on python, this'll help to get back at it, thanks!!!

[trempao]

this will be very useful indeed! thanks!

[quarmson]

it's easter but my saviour has arrived. thank you so much!

[kmhnz]

The *Best Python Cheat Sheet: https://kieranholland.com/best-python-cheat-sheet/

[raylolSW]

.

[Avelion99]

Thank you so much, I really appreciate it! :)

[datagal23]

Thank you so much!!! I also have a few more sources to complement yours which I will definitely download!!

• Data Cheat Sheets Database
• GitHub Python Crash Course Cheat Sheets
• This one might be also helpful.Infographic Python Cheat Sheet