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Pandas Quick Start for Developers

From zero to Pandas hero - Fast-track your data skills and unlock new career opportunities!

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Pandas Quick Start for Developers

6 Modules

Course Curriculum

6 Modules · 8 Chapters · 24 Topics · 149 Sub-topics

Getting Started with Pandas

2 Topics

Introduction to Pandas

5 Sub-topics

What is Pandas and Why Use It

Installing Pandas and Verifying Installation

Understanding Pandas Data Structures Overview

Importing Pandas and Basic Conventions

Your First Pandas Program

Pandas Development Environment

4 Sub-topics

Setting Up Jupyter Notebook for Pandas

Using VS Code with Pandas

Understanding Pandas Documentation

Exploring Pandas Community Resources

Series Fundamentals

2 Topics

Creating and Understanding Series

5 Sub-topics

Creating Series from Lists

Creating Series from Dictionaries

Creating Series from NumPy Arrays

Creating Series with Custom Index

Series Attributes - index, values, dtype, shape, size

Series Operations and Manipulation

7 Sub-topics

Accessing Elements by Position

Accessing Elements by Label

Slicing Series

Boolean Indexing in Series

Series Arithmetic Operations

Series Mathematical Methods

Checking and Handling Missing Values in Series

DataFrame Fundamentals

4 Topics

Creating DataFrames

5 Sub-topics

Creating DataFrame from Dictionary of Lists

Creating DataFrame from List of Dictionaries

Creating DataFrame from NumPy Arrays

Creating DataFrame from Series

DataFrame Attributes - shape, size, columns, index, dtypes

DataFrame Inspection

3 Sub-topics

Viewing DataFrame - head(), tail(), sample()

DataFrame Info and Memory Usage

Understanding DataFrame Structure

DataFrame Access and Selection

6 Sub-topics

Accessing Columns

Accessing Rows with loc

Accessing Rows with iloc

Selecting Multiple Columns

Selecting Rows and Columns Together

Boolean Indexing in DataFrame

DataFrame Modification

4 Sub-topics

Adding New Columns

Deleting Columns

Renaming Columns and Index

Modifying DataFrame Values

Data Input and Output

3 Topics

Reading Data from Files

11 Sub-topics

Reading CSV Files

Reading Excel Files

Reading JSON Files

Reading from Clipboard

Reading HTML Tables

Reading SQL Database Tables

Handling File Paths

Setting Custom Delimiters

Handling Missing Values While Reading

Specifying Data Types While Reading

Reading Large Files in Chunks

Writing Data to Files

4 Sub-topics

Writing to CSV Files

Writing to Excel Files

Writing to JSON Files

Export Options and Parameters

Advanced File Operations

10 Sub-topics

Reading Multiple Files

Handling Different Encodings

Parsing Fixed-Width Files

Reading Files with Custom Separators

Handling Messy Headers

Skipping Rows and Footers

Reading Only Specific Columns

Using Converters for Custom Parsing

Handling Bad Lines

Compression Support - gzip, zip, bz2

Filtering and Selection

4 Topics

Boolean Filtering

5 Sub-topics

Boolean Filtering with Single Condition

Boolean Filtering with Multiple Conditions

Using AND, OR, NOT Operators

Using isin() for Multiple Values

Using between() for Range Filtering

String-Based Filtering

3 Sub-topics

String Filtering with contains()

Filtering with str.startswith() and str.endswith()

Filtering with Regular Expressions

Query Method

3 Sub-topics

Using query() Method

Query with Multiple Conditions

Dynamic Filter Construction

Advanced Filtering

6 Sub-topics

Filtering Null and Non-Null Values

Combining Complex Conditions

Multi-condition Boolean Filtering

Filtering Numeric Ranges

Filtering with Lambda Functions

Filter Performance Optimization

Data Cleaning - Missing Data

3 Topics

Detecting Missing Data

3 Sub-topics

Detecting Missing Values with isnull() and notnull()

Counting Missing Values

Visualizing Missing Data Patterns

Handling Missing Data

8 Sub-topics

Dropping Rows with Missing Values

Dropping Columns with Missing Values

Filling Missing Values with Scalar

Forward Fill Method

Backward Fill Method

Filling with Mean, Median, Mode

Filling with Interpolation

Replacing Specific Values

Missing Data Strategies

7 Sub-topics

Missing Data Imputation Strategies

Forward and Backward Fill Limitations

Interpolation Methods Comparison

Multivariate Imputation Concepts

Missing Indicator Variables

Dropping vs Imputing Decision Framework

Validating Imputation Results

Grouping and Aggregation

4 Topics

GroupBy Basics

8 Sub-topics

Understanding groupby() Concept

Grouping by Single Column

Grouping by Multiple Columns

Aggregation with sum()

Aggregation with mean()

Aggregation with count()

Aggregation with min() and max()

Multiple Aggregations with agg()

Advanced GroupBy

9 Sub-topics

Custom Aggregation Functions

Named Aggregations

Grouping with Transformations

Filtering Groups

Iterating Over Groups

Getting Group Keys

Size and Count Differences

Nunique for Unique Counts

Groupby with Multiple Statistics

GroupBy Performance

8 Sub-topics

GroupBy with Multiple Keys

GroupBy with Custom Functions

GroupBy with Filters

GroupBy with Apply

Nested GroupBy Operations

GroupBy Performance Tuning

Memory-Efficient GroupBy

GroupBy Result Formatting

Aggregation Patterns

8 Sub-topics

Custom Aggregation Functions

Multiple Aggregations Per Column

Different Aggregations Per Column

Aggregation with Filtering

Conditional Aggregation

Nested Aggregations

Aggregation with Transform

Weighted Aggregations

Best Practices and Workflows

2 Topics

Code Quality

9 Sub-topics

Writing Clean and Readable Code

Code Organization for Pandas Projects

Function Design for Reusability

Error Handling Patterns

Logging in Data Pipelines

Testing Pandas Code

Documentation Best Practices

Version Control for Data Projects

Code Review Guidelines

Real-World Workflows

8 Sub-topics

ETL Pipeline Design

Data Cleaning Workflows

Feature Engineering Patterns

Reporting Automation

Incremental Data Processing

Batch Processing Patterns

Error Recovery Strategies

Monitoring and Alerting

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Pandas Quick Start for Developers

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

Start Your Journey Today

Pandas Quick Start for Developers

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

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