Course content introduction Two modules: "SEO routine" and "SEO application programming" The "SEO routine" module is divided into five chapters: "Domain Name, Content & Template, Keywords, Links, Clicks". All SEO actions start from these five points. More ideas and practice, that is: after analysis, based on premise X (ideas), doing Y (practice) on the website can increase rankings and traffic with a high probability. In the practical part, most of the routines are from big sites and gray sites. The "SEO Application Programming" module is divided into four chapters: "Basics, SEO Data Analysis, Quick Ranking from Scratch Development, Site Group from Scratch Development", and the main language is Python In the basic chapter, we will learn Python and solve some simple SEO needs, such as log analysis, word library construction, content processing, etc. In the SEO data analysis chapter, we will learn python crawlers to solve the needs of daily large-scale data collection, data monitoring, and industry analysis. In the chapter on developing the quick ranking system from scratch, we will implement a complete Baidu PC click system from scratch, as well as a large number of details and pitfalls that need to be bypassed, avoided, and solved in the process. We will develop the station group from scratch and implement N types of station group systems (single page, pan-analysis, spider pool...) from scratch. In terms of content, the SEO application programming part accounts for about 60% of the total content, so this course is not a pure SEO course, after all, it is mostly programming. Features are: Simplify the complex, use fewer convoluted metaphysical theories, and use fewer uncommon techniques Based on actual combat, why realization is important, but the focus of the course is on how to achieve it I have used a platform to learn programming while solving practical SEO problems. Zhuan Ke Classroom provides downloads: |
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