Key Python Concepts & Tools
Variables
Store data like numbers, strings, or lists without declaring types.
Functions
Define reusable code blocks with `def` to perform tasks or return values.
Lists
Store ordered, mutable collections of data with methods like `append` or `pop`.
Dictionaries
Store key-value pairs for fast data lookup and manipulation.
Conditionals
Control flow with `if`, `elif`, and `else` for decision-making.
Loops
Iterate with `for` or `while` to process data or repeat tasks.
Modules
Organize code with `import` to reuse functions and libraries.
File I/O
Read and write files using `open()` for data processing.
Exceptions
Handle errors gracefully with `try` and `except` blocks.
Object-Oriented Programming
Use classes and objects for modular, reusable code.
Django
A high-level web framework for rapid development of secure apps.
Flask
A lightweight web framework for building simple, flexible apps.
Pandas
A library for data analysis and manipulation with powerful DataFrames.
NumPy
A library for numerical computations with arrays and matrices.
PyCharm
A robust IDE for Python with debugging and code completion.
Jupyter Notebook
Interactive environment for coding, data visualization, and analysis.