{"id":19984353,"url":"https://github.com/labex-labs/pandas-practice-challenges","last_synced_at":"2025-05-04T06:32:15.107Z","repository":{"id":242160067,"uuid":"805287580","full_name":"labex-labs/pandas-practice-challenges","owner":"labex-labs","description":"Pandas Practice Challenges | This repo collects 21 of programming labs exercises for Pandas Practice Challenges. This course contains lots of challenges for Pandas, each challenge is a small Pandas project with detailed instructions and solutions. 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You can practice your Pandas skills by solving these challenges, improve your problem-solving skills, and learn how to write clean and efficient code.\n\n![Pandas](https://img.shields.io/badge/Pandas-whitesmoke?style=for-the-badge\u0026logo=pandas)\n\n\n## Environment\n\nLabEx is an interactive, hands-on learning platform dedicated to coding and technology. It combines labs, AI assistance, and virtual machines to provide a no-video, practical learning experience.\n\n![](https://tutorial-screenshot.getvm.io/images/vm-1725247253.png)\n\n- A strict “Learn by Doing” approach with exclusive hands-on labs and no videos.\n- Interactive online environments within the browser, with automated step-by-step checks.\n- A structured content organization with the Skill Tree based learning system.\n- A growing learning resource of 30 Skill Trees and over 6,000 Labs.\n- The AI learning assistant Labby, built on ChatGPT, providing a conversational learning experience.\n\nLearn more about [LabEx VM](https://support.labex.io/using-labex/virtual-machine).\n\n## Exercises\n\n|   Index | Name                                             | Difficulty   | Practice                                                                                                                         |\n|---------|--------------------------------------------------|--------------|----------------------------------------------------------------------------------------------------------------------------------|\n|      01 | 🎯 DataFrame with Sales Data                      | ★★☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-dataframe-with-sales-data-22107'\u003eStart Challenge\u003c/a\u003e                       |\n|      02 | 🎯 Filtering and Indexing with CSV                | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-filtering-and-indexing-with-csv-67543'\u003eStart Challenge\u003c/a\u003e                 |\n|      03 | 🎯 Sales Data Comparison                          | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-sales-data-comparison-92717'\u003eStart Challenge\u003c/a\u003e                           |\n|      04 | 🎯 Handling NaN and Duplicates                    | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-handling-nan-and-duplicates-189438'\u003eStart Challenge\u003c/a\u003e                    |\n|      05 | 🎯 Working with Series                            | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-working-with-series-67550'\u003eStart Challenge\u003c/a\u003e                             |\n|      06 | 🎯 Analyzing Sales and Discounts                  | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-analyzing-sales-and-discounts-23740'\u003eStart Challenge\u003c/a\u003e                   |\n|      07 | 🎯 DataFrame Math Operations                      | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-dataframe-math-operations-172040'\u003eStart Challenge\u003c/a\u003e                      |\n|      08 | 🎯 Pandas String Manipulation for E-commerce Data | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-pandas-string-manipulation-for-e-commerce-data-29301'\u003eStart Challenge\u003c/a\u003e  |\n|      09 | 🎯 Exploring the Where Function                   | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-exploring-the-where-function-53379'\u003eStart Challenge\u003c/a\u003e                    |\n|      10 | 🎯 The Powerful Query Method                      | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-the-powerful-query-method-29827'\u003eStart Challenge\u003c/a\u003e                       |\n|      11 | 🎯 Pandas Boolean Reductions Data Analysis        | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/python-pandas-boolean-reductions-data-analysis-53381'\u003eStart Challenge\u003c/a\u003e         |\n|      12 | 🎯 Pandas DataFrame Accessors                     | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-pandas-dataframe-accessors-47122'\u003eStart Challenge\u003c/a\u003e                      |\n|      13 | 🎯 A Deep Dive Into Transform                     | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-a-deep-dive-into-transform-23742'\u003eStart Challenge\u003c/a\u003e                      |\n|      14 | 🎯 Predicting Flower Types with Nearest Neighbors | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/python-predicting-flower-types-with-nearest-neighbors-256147'\u003eStart Challenge\u003c/a\u003e |\n|      15 | 🎯 Pandas IO Data Ingestion and Export            | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/python-pandas-io-data-ingestion-and-export-47120'\u003eStart Challenge\u003c/a\u003e             |\n|      16 | 🎯 Pandas DataFrame Combination Techniques        | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-pandas-dataframe-combination-techniques-16435'\u003eStart Challenge\u003c/a\u003e         |\n|      17 | 🎯 Decision Trees                                 | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-decision-trees-92597'\u003eStart Challenge\u003c/a\u003e                                  |\n|      18 | 🎯 Linear Regression                              | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-linear-regression-185171'\u003eStart Challenge\u003c/a\u003e                              |\n|      19 | 🎯 Clustering and Insights                        | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/python-clustering-and-insights-198286'\u003eStart Challenge\u003c/a\u003e                        |\n|      20 | 🎯 Understanding Validation Curves                | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/python-understanding-validation-curves-106940'\u003eStart Challenge\u003c/a\u003e                |\n|      21 | 🎯 Understanding Metrics and Scoring              | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/pandas-understanding-metrics-and-scoring-185172'\u003eStart Challenge\u003c/a\u003e              |\n\n## More\n\n- 🔗 [Pandas Programming Courses](https://github.com/labex-labs/awesome-programming-courses)\n- 🔗 [Pandas Programming Projects](https://github.com/labex-labs/awesome-programming-projects)\n- 🔗 [Pandas Free Tutorials](https://github.com/labex-labs/pandas-free-tutorials)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flabex-labs%2Fpandas-practice-challenges","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flabex-labs%2Fpandas-practice-challenges","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flabex-labs%2Fpandas-practice-challenges/lists"}