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Python Introduction: From Zero to Project Practice

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Python for Beginners: From Zero to Project Practice

Course Duration: 15 Hours
Suitable Crowd: Programming newbies, data enthusiasts, office workers looking to automate workflows, students wanting to master a hot programming skill, and anyone without coding experience who wants to break into the tech field
Have you ever wanted to learn programming but been intimidated by complex syntax and jargon?
Are you tired of repeating tedious manual work (e.g., data sorting, web information collection) and hoping to automate it?
Do you want to master a high-demand skill to boost your resume and unlock more career opportunities (data analysis, web crawler, small program development)?
This Python for Beginners video course is your perfect entry point to the world of programming. In 15 hours of step-by-step teaching, we’ll take you from a "coding zero" with no prior experience to someone who can independently complete practical projects. Python’s simple syntax and powerful functions will let you experience the fun of programming and turn technical skills into practical value.

What You Will Master in This Course

  1. Python Core Basic Syntax (Lay a Solid Foundation)
    No more being confused by obscure code! We’ll explain every concept in plain language, with zero skipping of basic knowledge:
    • Environment setup: Step-by-step demos to install Python and IDE (PyCharm) on Windows/Mac, solving common installation problems.
    • Core basics: Master variables, data types, operators, conditional statements, and loop statements— the building blocks of all Python programs.
    • Functions & modules: Learn to define reusable functions, import built-in modules, and manage code efficiently to avoid redundant work.
    • Error handling: Master common error types and debugging skills to solve problems independently when your code runs abnormally.
  2. Web Crawler Practical Skills (Get Valuable Data Easily)
    Learn to use Python to "crawl" valuable information from the web automatically, no more manual copy-pasting:
    • Core library application: Master the use of requests (for sending web requests) and BeautifulSoup (for parsing web data).
    • Step-by-step crawler development: From crawling simple static web pages (e.g., novel chapters, product information) to handling anti-crawling restrictions.
    • Data storage: Save crawled data into Excel files or CSV formats for subsequent analysis and use.
    • Practical project: Crawl a book review website to collect user comments and generate a simple data statistics table.
  3. Python Data Analysis (Turn Data into Insights)
    Master the basic skills of data analysis to unlock the value of data and gain a competitive edge in the workplace:
    • Core analysis library operation: Get started with pandas (for data cleaning and sorting) and matplotlib (for data visualization).
    • Data preprocessing: Learn to clean messy data (remove duplicates, fill in missing values, format conversion) to lay the foundation for analysis.
    • Simple data analysis: Complete data statistics, grouping, and comparison to extract key information from raw data (e.g., sales data trend analysis).
    • Data visualization: Create intuitive bar charts, line charts, and pie charts to present analysis results, making data speak for itself.
  4. Comprehensive Project Practice (Integrate All Skills)
    Consolidate all the knowledge you’ve learned with a hands-on project to prove your programming ability:
    • Project: Develop a simple weather query small program that can obtain real-time weather information of designated cities through web requests.
    • Process guidance: From demand analysis, code writing, to debugging and optimization, the instructor will lead you through every step.
    • After completing the project, you’ll have a tangible programming achievement to add to your resume or personal portfolio.