CodeStips

Data Manipulation

Accessing Dictionary Values

Basics of Python

Learn how to access dictionary values in Python, covering key methods, handling missing keys, and best practices for data retrieval and manipulation.

Concatenating DataFrames in pandas

Data Analysis & Visualization

Master pandas DataFrame concatenation: learn to combine datasets vertically or horizontally for effective data cleaning and analysis.

Creating Custom Aggregation Functions

Data Analysis & Visualization

Learn to create custom aggregation functions in pandas to precisely tailor data summarization beyond built-in options.

Creating New Features in pandas

Data Analysis & Visualization

Learn essential pandas techniques for generating new features from raw data to enhance data analysis and machine learning models.

High-Demand Python Skills by Industry

Career & Job Tips

Python skills in healthcare and biotech focus on data analysis, medical imaging, and genomic research for impactful career growth.

How to Choose the Right Data Type

Python for Beginners

Choose the right Python data type for efficient, clear, and memory-friendly code. Understand built-in types to optimize performance and readability.

List Methods Cheatsheet

Basics of Python

Learn essential Python list methods for adding, removing, and manipulating data efficiently with clear examples and practical use cases.

Python Libraries for Machine Learning Projects

Libraries & Frameworks

Pandas and NumPy are essential Python libraries for data manipulation in machine learning. They provide the foundation for preparing and handling data before model building.

Python Modules for Data Analysis

Functions & Modules in Python

Python offers essential modules and tools for efficient data analysis, including data cleaning, visualization, and modeling. Learn key libraries to master data processing and insights.

Python NumPy Cheatsheet

Cheatsheets & Reference Guides

NumPy is essential for numerical computing in Python. This cheat sheet covers installation, array creation, indexing, and advanced operations for efficient data handling.