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Python Coding Standards

Introduction
Setting Up Your Python Environment
Installing Python and PyCharm IDE Creating and Running Your First Python Program
Python Data Types
Numeric Types String Types Boolean Types None Type
Operators and Expressions
Arithmetic Operators Comparison Operators Logical Operators Bitwise Operators Assignment Operators Operator Precedence
Control Flow Statements
Conditional Statements Loops Break and Continue Statements Exception Handling
Functions and Modules
Defining and Calling Functions Function Arguments and Return Values Lambda Functions Modules and Packages
Python Data Structures
Lists Tuples Dictionaries Sets Arrays
ObjectOriented Programming in Python
Classes and Objects Attributes and Methods Inheritance and Polymorphism Abstract Classes and Interfaces
File Handling
Opening and Closing Files Reading and Writing Text Files Reading and Writing Binary Files CSV Files
Regular Expressions
Basic Regular Expressions and Metacharacters Anchors and Quantifiers Grouping and Capturing Lookarounds
Datetime and Timezones
Date and Time Objects Date and Time Formatting Timezone and Daylight Saving Time Handling
Debugging and Testing
Debugging Techniques Debugging Tools in PyCharm Unit Testing with PyTest
Web Scraping with Python
Requesting Data with urllib Parsing HTML with Beautiful Soup Extracting and Storing Data
Database Handling with Python
Connecting to Databases Performing CRUD Operations Database Access with ORM (ObjectRelational Mapping)
Introduction to Data Science with Python
NumPy Pandas Matplotlib ScikitLearn
GUI Programming with Python
Creating GUI Applications GUI Toolkits (Tkinter, PyQt, wxWidgets)
Network Programming with Python
Socket Programming Creating and Running a Simple Web Server Connecting to APIs
Best Practices and Tips
Python Coding Standards Code Organization Writing Efficient Code Tips and Tricks for Python Development
Conclusion and Next Steps.

Python Coding Standards

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Python Coding Standards refer to a set of rules and guidelines that developers should follow when writing Python code. Coding standards help to ensure that code is easily readable and maintainable, and that it meets industry best practices.

Some common Python coding standards include:
  1. PEP 8 - This is the official Python style guide that covers many aspects of code layout and formatting, variable naming conventions, and more.
  1. Docstrings - Python code should be well-documented, and one standard way of achieving this is by using docstrings. Docstrings are strings that are placed immediately after a function, class, or module definition and provide a description of the code.
  1. Naming conventions - Python variables, functions, and classes should be named using a standard convention that is both descriptive and easy to read. For example, variables should be named using lowercase letters and underscores (e.g., my_variable), while classes should use CamelCase (e.g., MyClass).
  1. Code organization - Code should be properly organized and structured so that it is easy to follow and maintain.

Following these Python coding standards can make your code easier to read and understand, and can also make it more maintainable over time.

March 25, 2023

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