Skip to content
Python FAQ

Practical answers to common Python questions, with useful code examples and explanations.

  • Home
  • Home
Books
Home » Python modules » Page 22
How to connect to a SQLite3 database in Python
Posted inSQLite3

How to connect to a SQLite3 database in Python

Posted inSQLite3Tags: database connection, SQLite3
Python sqlite3 transactions: commit, rollback, and with statement. Query data with SELECT, fetchone, fetchall. Use sqlite3.Row row_factory for name-based access.
Read More
How to create basic plots with matplotlib.pyplot.plot in Python
Posted inMatplotlib

How to create basic plots with matplotlib.pyplot.plot in Python

Posted inMatplotlibTags: basic plotting, matplotlib.pyplot.plot
Matplotlib object-oriented plotting with Figure, Axes from plt.subplots(). Create multiple plots, annotations, and custom transforms for full control beyond the pyplot API.
Read More
How to get started with pymongo for MongoDB interaction in Python
Posted inPymongo

How to get started with pymongo for MongoDB interaction in Python

Posted inPymongoTags: MongoDB basics, pymongo
PyMongo data retrieval from MongoDB. Query documents with find() and find_one(). Filter results with operators ($gt, $in) and use projection to return specific fields.
Read More
How to get started with Python Requests for making HTTP requests
Posted inRequests

How to get started with Python Requests for making HTTP requests

Posted inRequestsTags: HTTP basics, Python Requests
Python requests Response object for status_code, headers, text, and raw byte content. Handle HTTP errors with raise_for_status() and download files or images.
Read More
How to compile regular expressions using re.compile in Python
Posted inre

How to compile regular expressions using re.compile in Python

Posted inreTags: re.compile, regex compile
Python re.compile() for regex performance. Faster findall(), sub(), and search() using compiled patterns. Optimize code and use flags like re.IGNORECASE.
Read More
How to use pandas.DataFrame for data manipulation in Python
Posted inPandas

How to use pandas.DataFrame for data manipulation in Python

Posted inPandasTags: data manipulation, pandas.DataFrame
Pandas groupby for data aggregation. Split-apply-combine strategy using sum, mean, count. Multiple aggregations with agg(), named aggregation, and multi-column grouping.
Read More
How to use math.ceil for ceiling calculations in Python
Posted inmath

How to use math.ceil for ceiling calculations in Python

Posted inmathTags: ceiling function, math.ceil
Python math.ceil, math.floor, math.trunc, and int() for float rounding. Comparison of rounding to positive/negative infinity versus rounding toward zero.
Read More
How to get environment variables using os.getenv in Python
Posted inos

How to get environment variables using os.getenv in Python

Posted inosTags: environment variables, os.getenv
Access environment variables in Python with os.getenv. Safely get config values, handle missing keys, and provide defaults to separate code from configuration.
Read More
How to build models using TensorFlow Functional API in Python
Posted insys

How to access command line arguments using sys.argv in Python

Posted insysTags: command line arguments, sys.argv
Parse command-line arguments in Python with the sys.argv list. Validate input with len(), convert string arguments to int, and handle ValueError exceptions.
Read More

Posts pagination

Previous page 1 … 20 21 22
Copyright 2026 — Python FAQ. All rights reserved.
Scroll to Top