[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-571784-105":53,"doc-detail-571784-en":127},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},105,"en","python-cheat-sheet-quick-reference","Python Cheat Sheet - Quick Reference","","Python Cheat Sheet provides a compact reference for key Python syntax and concepts. It explains how comments work with # and triple single quotes, how parentheses affect evaluation, and how common IDEs use an editor versus a command window. The sheet summarizes data types such as int, float, str, bool, list, and numpy.array, including indexing and assignment versus comparison. It also covers importing libraries, defining functions with def/return, and writing conditional logic using if/elif/else, with brief examples.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/python-cheat-sheet-quick-reference/571784/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/python-cheat-sheet-quick-reference/571784.png","ImageObject",442,249,{"name":88,"@type":89},"CatatanPagi","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-22","2026-10-13",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",7,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"How does Python treat comments in this cheat sheet?","Question",{"text":109,"@type":110},"Text after a # symbol and text between triple single quotes are treated as comments and ignored by the code.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"What is the difference between assignment and comparison operators shown here?",{"text":114,"@type":110},"A single equals sign (=) is used for assignment, while a double equals sign (==) is used for comparison.",{"name":116,"@type":107,"acceptedAnswer":117},"How are functions and returns defined in Python based on the examples?",{"text":118,"@type":110},"Functions are defined with the def keyword, include a colon and indented body, and return values using the return statement.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},571784,1792033134,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":47,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":140,"read_time":73},962090894170,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","Python Cheat Sheet  \nMiscellaneous useful notes  \n1. Text after a pound sign (\\#), as well as text between sets of three single quotes, ✬✬✬ , are comments, and are ignored by the code.  \n2. Text in parentheses is evaluated by Python prior to other text, in a manner identical to how parentheses are treated in math.  \n3. Most Python IDEs (i.e. , most programs used when writing Python), including Spyder and PyScripter, have to environments to work in-the editor and the command window. The editor is for writing large pieces of code that are eventually saved as Python ✜les, i.e. , text in the editor represents what will become your program. The command window is for writing quick pieces of code to see them executed, usually one line at a time.  \n4. The most useful extensions to Python are NumPy, SciPy, and matplotlib. All of the functionality of these can be accessed in Python by using the import command, as in the following code.  \nimport numpy as np import s c ipy as sp  \nimport matplot lib as mpl  \n\\#The ✬ as ✬ keyword just let ✬ s you c a l l these packages by a shorter name when  \n\\#using them , as in the li ne of code below .  \nprint np . abs (􀀀5)\\#This would print 5  \nResources  \nThe following are Python distributions-after you download and install them, Python and most of its numerous useful extensions will work on your computer.  \nWinPython [http://winpython.sourceforge.net/](http://winpython.sourceforge.net/. Windows XP/7/8)[. Windows XP/7/8](http://winpython.sourceforge.net/. Windows XP/7/8) .  \nAnaconda [https://store.continuum.io/cshop/anaconda/](https://store.continuum.io/cshop/anaconda/. Linux:)[. Linux:](https://store.continuum.io/cshop/anaconda/. Linux:) 64-bit and 32-bit. Windows: 64-bit and 32-bit. Mac OS X: Intel 64-bit.  \nAdditionally, Codeacademy is a great place to get started with Python, [http://www.codecademy.com/](http://www.codecademy.com/. It)[. It](http://www.codecademy.com/. It)[ ](http://www.codecademy.com/. It)[has simple step-by-step lessons that will familiarize you with the syntax and](has simple step-by-step lessons that will familiarize you with the syntax and) ✏[feel](feel)✑ [of the language](of the language) ([and of](and of)[ ](and of)[programming in general](programming in general)) .  \nData types  \nThe most important data types in python are int, ✢oat, str, bool, list, and numpy.array. Lists are containers of any miscellaneous combination of the other data types. Arrays are containers of either integers or doubles. Lists are easier to work with than arrays, but code that uses them is much slower. An example of each data type is below.  \nimport numpy as np  \nint1 =5; int2 = 􀀀5; \\#int1 and int2 are in ts , i . e . , i nt e g e r s .  \nfloat1 =5 . 0; float2 =23 . 2; \\#fl o at 1 and fl o at 2 are floats , i . e . , decimal numbers .  \nstr1= ✬ Hello ✬ ; str2= ✬ 1 ✬ \\#str1 and str2 are strings , i . e . , groups of characters .  \nboo l1 =False ; boo l2 =5>2 \\#bool1 and bool2 are bools , i . e . , things that are True or False . list1 =[1 ,2 . 56 , \" Hello \" , True ] \\#l i s t 1 i s a l i s t . Note multiple data types .  \narray1 =np . array ( [ 2 . 0 , 􀀀 0 . 5 , 2 . 5 6 , 2 . 2 ] ) \\#array1 i s an array . Note a l l fl o a t s .  \n✬ ✬ ✬  \nTo access d iffe r e nt elements in a l i s t or array , use [ element number ] .  \nThe fi r s t element has element number =0 .  \nFor example , the line below i s a boolean with value True .  \n✬ ✬ ✬  \nlist1 [1]== array1 [ 2 ]  \nNote the two di✛erent types of types of ✏equals✑ that are used in the above code. A single-equals, = , is used for assignment of a value. A double-equals, == , is used for comparison, just as \u003C= or >= would be.  \nFunctions  \nA function is anything that takes 0 or more data types as an input, and performs a task (based on those inputs) . Several functions are already built into Python and its extensions. For instance, numpy .sin(x) is a function built into numpy that ✜nds the sine of the input x.  \nYou can de✜ne functions in Python using","cbCaif4yzCTtT4ha","https://ap.wps.com/l/cbCaif4yzCTtT4ha","pdf",159265,"English","# Python Cheat Sheet\n## Comments and evaluation rules\n## IDE workflow and imports\n## Resources and Python distributions\n## Data types and indexing\n## Functions (def/return)\n## Conditionals and logical operators","[{\"question\":\"How does Python treat comments in this cheat sheet?\",\"answer\":\"Text after a # symbol and text between triple single quotes are treated as comments and ignored by the code.\"},{\"question\":\"What is the difference between assignment and comparison operators shown here?\",\"answer\":\"A single equals sign (=) is used for assignment, while a double equals sign (==) is used for comparison.\"},{\"question\":\"How are functions and returns defined in Python based on the examples?\",\"answer\":\"Functions are defined with the def keyword, include a colon and indented body, and return values using the return statement.\"}]","Python Cheat Sheet - Quick Reference | PDF",1791923720]