[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-571391-105":53,"doc-detail-571391-en":126},{"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":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","python-cheat-sheets-english-cheat-sheet","python-cheat-sheets - English Cheat Sheet","","Python-cheat-sheets distills key software principles and practical guidance into a compact reference, linking mindset and workflow with code quality and delivery. It covers complexity and how to reduce it, the 80/20 (Pareto) approach for prioritizing causes and outcomes, and clean code and Unix philosophy rules for writing maintainable programs. It also explains design simplification, MVP creation, avoiding premature optimization, and achieving flow and focus. Finally, it provides a Python keyword overview with Boolean logic, control flow, classes/functions, and basic data structure entry points, supporting fast learning and application.",{"@graph":63,"@context":118},[64,80,101],{"@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-sheets-english-cheat-sheet/571391/",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-sheets-english-cheat-sheet/571391.png","ImageObject",442,249,{"name":88,"@type":89},"Eliana","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-21","2026-10-13",true,{"@type":98,"interactionType":99,"userInteractionCount":76},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What does the document mean by “Complexity reduces productivity and focus” and how should it be addressed?","Question",{"text":108,"@type":109},"It frames complexity as something that is difficult to analyze, understand, or explain, and states that it consumes time and attention. The guidance is to keep things simple by focusing on clear lifecycle, development, and process thinking rather than unnecessary complexity.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"How does the 80/20 (Pareto) principle help prioritize work?",{"text":113,"@type":109},"It suggests identifying success metrics and big goals, then finding ways to achieve the same outcomes with fewer resources. It also emphasizes reflection on successes and failures and reading more in the industry.",{"name":115,"@type":106,"acceptedAnswer":116},"What core practices are recommended to write cleaner Python code?",{"text":117,"@type":109},"The document lists Clean Code principles such as avoiding duplication (DRY), using meaningful names, applying single-responsibility, testing, writing in big-picture terms, and refactoring. It also recommends Unix philosophy ideas like “Simple’s Better Than Complex” and ensuring programs do one thing well.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},571391,1792435826,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":76,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":135,"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":76},4398048949847,"https://ap-avatar.wpscdn.com/avatar/400002536579ef2da7f?_k=1778318612642679267","Book:  \nComplexity  \n“A whole, made up of parts—difficult to analyze, understand, or explain\".  \nComplexity appears in  \n• Project Lifecycle  \n• Code Development  \n• Algorithmic Theory  \n• Processes  \n• Social Networks  \n• Learning & Your Daily Life  \nProject Lifecycle Cyclomatic Complexity Runtime Complexity  \n→ Complexity reduces productivity and focus. It’ll consume your precious time. Keep it simple!  \n| \u003Cbr>80/20 Principle\u003Cbr>Majority of effects come from the minority of causes. | Pareto Tips\u003Cbr>1. Figure out your success metrics.\u003Cbr>2. Figure out your big goals in life.\u003Cbr>3. Look for ways to achieve the same things with fewer resources.\u003Cbr>4. Reflect on your own successes\u003Cbr>5. Reflect on your own failures\u003Cbr>6. Read more books in your industry.\u003Cbr>7. Spend much of your time improving and tweaking existing products\u003Cbr>8. Smile.\u003Cbr>9. Don't do things that reduce value\u003Cbr>Maximize Success Metric:\u003Cbr>\\#lines of code written |  |  |\n| --- | --- | --- | --- |\n| \u003Cbr>Clean Code Principles\u003Cbr>1. You Ain't Going to Need It\u003Cbr>2. The Principle of Least Surprise\u003Cbr>3. Don't Repeat Yourself\u003Cbr>4. Code For People Not Machines\u003Cbr>5. Stand on the Shoulders of Giants\u003Cbr>6. Use the Right Names\u003Cbr>7. Single-Responsibility Principle\u003Cbr>8. Use Comments\u003Cbr>9. Avoid Unnecessary Comments\u003Cbr>10. Be Consistent\u003Cbr>11. Test\u003Cbr>12. Think in Big Pictures\u003Cbr>13. Only Talk to Your Friends\u003Cbr>14. Refactor\u003Cbr>15. Don’t Overengineer\u003Cbr>16. Don’t Overuse Indentation\u003Cbr>17. Small is Beautiful\u003Cbr>18. Use Metrics\u003Cbr>19. Boy Scout Rule: Leave Camp\u003Cbr>Cleaner Than You Found It |  |  | \u003Cbr>Unix Philosophy\u003Cbr>1. Simple’s Better Than Complex\u003Cbr>2. Small is Beautiful (Again)\u003Cbr>3. Make Each Program Do One Thing Well\u003Cbr>4. Build a Prototype First\u003Cbr>5. Portability Over Efficiency\u003Cbr>6. Store Data in Flat Text Files\u003Cbr>7. Use Software Leverage\u003Cbr>8. Avoid Captive User Interfaces\u003Cbr>9. Program = Filter\u003Cbr>10. Worse is Better\u003Cbr>11. Clean > Clever Code\u003Cbr>12. Design Connected Programs\u003Cbr>13. Make Your Code Robust\u003Cbr>14. Repair What You Can—But Fail Early and Noisily\u003Cbr>15. Write Programs to Write Programs |\n\n| \u003Cbr>Less Is More in Design | How to Simplify Design?\u003Cbr>1. Use whitespace\u003Cbr>2. Remove design elements\u003Cbr>3. Remove features\u003Cbr>4. Reduce variation of fonts, font types, colors\u003Cbr>5. Be consistent across UIs |\n| --- | --- |\n\n\n| \u003Cbr>Minimum Viable Product (MVP)\u003Cbr>A minimum viable product in the software sense is code that is stripped from all features to focus on the core functionality. | |  |\n| --- | --- | --- |\n| |  | How to MVP?\u003Cbr>• Formulate hypothesis\u003Cbr>• Omit needless features\u003Cbr>• Split test to validate each new feature\u003Cbr>• Focus on productmarket fit\u003Cbr>• Seek high-value and low-cost features |\n\n\n| \u003Cbr>Premature Optimization\u003Cbr>\"Programmers waste enormous amounts of time thinking about […] the speed of noncritical parts of their programs. We should forget about small efficiencies, say about 97 % of the time: premature optimization is  the root of all evil. \" – Donald Knuth | Performance Tuning 101\u003Cbr>1. Measure, then improve\u003Cbr>2. Focus on the slow 20%\u003Cbr>3. Algorithmic optimization wins\u003Cbr>4. All hail to the cache\u003Cbr>5. Solve an easier problem version\u003Cbr>6. Know when to stop |\n| --- | --- |\n\n\n| \u003Cbr>Flow\u003Cbr>“… the source code of ultimate human performance\" – Kotler Flow Tips for Coders\u003Cbr>1. Always work on an explicit practical code project\u003Cbr>2. Work on fun projects that fulfill your purpose\u003Cbr>3. Perform from your strengths\u003Cbr>4. Big chunks of coding time\u003Cbr>5. Reduce distractions:\u003Cbr>smartphone + social\u003Cbr>|  |\n| --- | --- |\n| How to Achieve Flow? (1) clear  goals,(2) immediate feedback, and (3) balance opportunity & capacity. | 6. Sleep a lot, eat healthily, read quality books, and exercise → garbage in, garbage out! |\n\n\n| \u003Cbr>Focus\u003Cbr>You can take raw resources and move them from a state of high entropy into a state of low entropy—using focused effort towards the attainment of a greater plan. | 3-Step Approach of\u003Cbr>Efficient Software Creation\u003Cbr","cbCaijglMoWgdXGy","https://ap.wps.com/l/cbCaijglMoWgdXGy","pdf",958634,9,"English","# Complexity\n# 80/20 Principle (Pareto Tips)\n# Clean Code Principles\n# Unix Philosophy\n# Less Is More in Design\n# Minimum Viable Product (MVP)\n# Premature Optimization\n# Flow\n# Focus\n# The Ultimate Python Cheat Sheet\n## Keywords\n## Basic Data Structures","[{\"question\":\"What does the document mean by “Complexity reduces productivity and focus” and how should it be addressed?\",\"answer\":\"It frames complexity as something that is difficult to analyze, understand, or explain, and states that it consumes time and attention. The guidance is to keep things simple by focusing on clear lifecycle, development, and process thinking rather than unnecessary complexity.\"},{\"question\":\"How does the 80/20 (Pareto) principle help prioritize work?\",\"answer\":\"It suggests identifying success metrics and big goals, then finding ways to achieve the same outcomes with fewer resources. It also emphasizes reflection on successes and failures and reading more in the industry.\"},{\"question\":\"What core practices are recommended to write cleaner Python code?\",\"answer\":\"The document lists Clean Code principles such as avoiding duplication (DRY), using meaningful names, applying single-responsibility, testing, writing in big-picture terms, and refactoring. It also recommends Unix philosophy ideas like “Simple’s Better Than Complex” and ensuring programs do one thing well.\"}]","python-cheat-sheets - English Cheat Sheet | PDF",1791914952]