Python 3 Standard Library Essentials

Begin this module overview of the Python 3 standard library essentials course and start learning the module today. Look forward to the next steps as you explore the material.

Discover how to use the sys module to inspect Python version and path, print system information, redirect standard output, and handle user input with input and stdout manipulation.

Learn how the os module exposes environment variables as a dictionary, access keys like user and home, and print all variables. Check presence and handle key errors for testing.

Explore how to use the shutil module to copy and move files and directories, handle full paths, create backups, and rename items in a real file system.

Explore the Python 3 standard library module documentation to discover available functions and usage tips, and refer back to it when writing scripts.

Learn to access Python script arguments with the sys module, view them as a list, use len to count them, and note that the first item is the script name.

demonstrate using the argparse module to parse salary, band, and years. enforce required inputs, types, and help text, and show band choices for a non-interactive, user-friendly script.

Master the glob module in Python by using wildcards, a question mark, and ranges to list and filter files, including recursive searches through sample data folders.

Begin the module by introducing the random and statistics modules in the Python standard library, setting the stage for practical usage in this course.

Explore the Python math module to use sqrt, gcd, pow, factorial, and constants pi and e, with rounding via ceil and floor alongside cos and tan.

Explore the Python random module and its core functions—random, randrange, choice, randint, sample, and shuffle—to generate numbers, pick items, simulate dice, lotteries, and card shuffles.

Explore the Python statistics module by computing mean, median, mode, variance, and standard deviation from a numbers list, and learn rounding and basic data handling.

Explore core date, time, timedelta, and calendar modules in the Python standard library to start learning these essentials.

Explain how to create a datetime object, inspect its type, and extract year, month, day, hour, minute, and second using properties and methods for precise time data.

Format date and time in Python by using the now function to capture the current time, extract day, month, and year, and apply flexible format options.

Format time from a time-like object using codes like %H, %M, %S, and %p, and choose separators such as colon or dash for hours, minutes, and seconds.

Extract a timestamp from a daytime object to get Unix epoch seconds since Jan 1, 1970, then convert back with time.fromtimestamp and compare UTC with local time.

Learn to calculate the difference between two date or datetime objects with Python's standard library, yielding a timedelta to drive time-based actions such as archiving.

Use the timedelta module to add or subtract days, weeks, and hours from the current date time. Compare dates and print results to build simple date logic.

Explore the Python calendar module by displaying a specific month, retrieving the weekday for a date, and checking leap years.

Learn to use the time module to print epoch time, convert timestamps to dates, and pause scripts with randomized durations using random and sleep inside a for loop.

Learn to measure code performance with the timeit module by timing a code snippet, computing end time minus start time, and using the results to troubleshoot and optimize Python scripts.

Explore Python's standard library modules for working with different file types, including text file input and output, binary file handling, temporary files and directories, zip archives, and ini config files.

Use the open function to declare and create a file, write data, and close it; then read with a file handler and compare write versus append modes.

Write a list of animals to a text file. Read the file line by line with readlines, converting to a list and using zero indexed access, breaking on tiger.

Learn to work with text files in Python using a file handler to write, seek, and overwrite, then read after writing by resetting the pointer to the start.

Learn to use the csv module to write a list of records to a csv file with writer and read it back with reader; first column is the attribute footprint.

Learn to serialize and deserialize Python objects using the pickle module by writing to and reading from a binary file with dump and load.

Learn to create temporary files and directories with the tempfile module, write and read data as bytes, use named temporary files for filesystem visibility, and manage file pointers with seek.

Learn to use the tempfile module to create a temporary directory and a file inside it, write and read data, and observe automatic cleanup.

Develop proficiency with the zipfile module by loading a zip file, listing contents with name list and info list, printing metadata such as size and timestamp, and reading specific files.

Learn how to use the zipfile module to extract files from a zip archive, including extracting all files to a specific folder or a single named file, with practical examples.

Learn to create zip files using the zipfile module, walk a directory tree with os.walk, collect file paths, and add each file to a backup zip archive.

Use the configparser module to read a configuration file, list sections such as dev, staging, and production, and access values within each section.

Explore the IP address module from the Python standard library and learn how to use it within this module.

Explore the ipaddress module by converting strings to IP address objects. Check whether addresses are private and determine IPv4 or IPv6 using address.version and is_private.

Process a list of networks with the ipaddress module to create network objects, display details, and determine private status, broadcasts, netmasks, and address counts.

Explore the ipaddress module by looping through ip addresses and subnets to verify which networks each address belongs to, with practical 24 and 26 subnet examples.

Explore the hashlib module library to determine hash values for files and strings, and prepare to apply this module in your Python projects.

Learn to use the hashlib module to compute md5, sha1, sha256, and sha512 hashes of a string by encoding data in utf-8, updating the hash, and retrieving the hex digest.

Lecture demonstrates using the hashlib module to compute the hash and SHA256 of a file by reading in binary, updating hash objects, and printing hex digests to verify integrity.

Discover the text wrap module in part 1, using wrap and fill to format long text, compare outputs, and introduce the text wrapper class for reusable settings.

Explore the textwrap TextWrapper class in Python's standard library, learn wrap and fill methods, apply default and custom settings to format strings, and reuse wrappers for multiple inputs.

Learn to use the json module to parse json strings into Python dictionaries and lists, and master serialization and deserialization for data exchange.

Explore how the json module loads json strings into Python objects, revealing dictionaries and lists, and explain serialization and string-to-object data access.

Master Python's json module by loading JSON from files with json.load, writing with json.dump, and using dumps for strings, including pretty formatting and sorted keys.

Celebrate mastering Python programming through module knowledge, access downloadable sample codes you can import into your editor, and rehearse the course to strengthen your programming skills.