دانلود کتاب Coffee Break Pandas: 74 Pandas Puzzles to Build Your Pandas Data Science Superpower

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Contents Introduction A Case for Puzzle-based Learning Overcome the Knowledge Gap Embrace the Eureka Moment Divide and Conquer Improve From Immediate Feedback Measure Your Skills Individualized Learning Small is Beautiful Active Beats Passive Learning Make Code a First-class Citizen What You See is All There is Elo Rating Python How to Use This Book How to Test and Train Your Skills? Pandas Code Puzzles Elo 1500-1600 Create a Series From a Scalar Value Create a Series From a List of Data Create Series with Custom Index Values Create a Series From a Dictionary The Dimension of a Series The Size of a Series Checking Series for NaN-Values Integer Location Index Location Index Methods of Series: all() and any() The Methods min() and max() Update Values in a Series Index Operators I Index Operators II Filtering Series Method Chaining The axis Argument Working with Multiple Series Create a DataFrame from a List of Lists Create a DataFrame from a Dictionary of Lists List of Dict to DataFrame Create a DataFrame from a List of Tuples Create a DataFrame from Series Create a DataFrame from a CSV File Pandas Code Puzzles Elo 1600-1700 DataFrame Head DataFrame Tail Slices of DataFrames I Slices of DataFrames II 2D Slicing DataFrame vs. Series Modifying Column Labels Sorting a DataFrame by Column Replacing Values Renaming Columns Column Datatypes Integer Location Index: Multiple Values Count Non-NaN Values Drop NaN-Values Adding Columns I Adding Columns II Boolean Indexing I Drop NaN-Values II Drop Columns Drop Selected Values Sort In-Place Reverse Column Order Reverse Row Order Reset the Index Reference Confusion Select Values From a List Boolean Indexing II Aggregation DataFrame Concatenation I DataFrame Concatenation II Inner Merge Right Merge Outer Merge Pandas Code Puzzles Elo 1700-1800 Fun With NaN DataFrame Information DataFrame Statistics DataFrame Memory Usage Numpy Arrays Regexing Column Labels Replacing NaN-Values Dummy Values Method Chaining II Length vs. Count Modifying Values Value Clusters Exploding Values Comparison: equals() vs. == Merged DataFrames Value Sources Pandas Code Puzzles Elo 1800+ Index iloc and Lambdas Pivot Tables Final Remarks Your Skill Level Where to Go From Here?