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Python 3 Standard Library Essentials

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Python 3 Standard Library Essentials, available at $44.99, has an average rating of 3.83, with 54 lectures, based on 3 reviews, and has 316 subscribers.

You will learn about Learn to create directories Learn to work with text files Learn to work with csvfiles Learn to work with .ini files Learn to create temporary files and directories This course is ideal for individuals who are Python Programmers or DevOps Engineers or Cloud Engineers or Data Engineers It is particularly useful for Python Programmers or DevOps Engineers or Cloud Engineers or Data Engineers.

Enroll now: Python 3 Standard Library Essentials

Summary

Title: Python 3 Standard Library Essentials

Price: $44.99

Average Rating: 3.83

Number of Lectures: 54

Number of Published Lectures: 54

Number of Curriculum Items: 54

Number of Published Curriculum Objects: 54

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

  • Learn to create directories
  • Learn to work with text files
  • Learn to work with csvfiles
  • Learn to work with .ini files
  • Learn to create temporary files and directories

Who Should Attend

  • Python Programmers
  • DevOps Engineers
  • Cloud Engineers
  • Data Engineers

Target Audiences

  • Python Programmers
  • DevOps Engineers
  • Cloud Engineers
  • Data Engineers

Python Programming is easy to learn! It is also easy to understand Python’s built-in libraries.

There is a very high demand for Python programmers. It has gained popularity in various fields – Web/Application Development, Data Science, Infrastructure Automation, Internet of Things, Cloud, DevOps, Backend Development, etc.

Python libraries can reduce the time required for script development and lower your frustration with coding. Discover how familiarity with essential modules in the standard library can simplify the creation of Python scripts.

You will learn:

  • Working with “sys” and “os” modules.

  • Processing command-line arguments.

  • Using “argparse” module to create professional scripts.

  • Working with math, random, and statistics modules to perform various numerical tasks.

  • Working with date, time, date difference, timestamps.

  • Formatting dates and times for desired output.

  • Learn to use “timeit” to measure the execution time of small code snippets.

  • Learn to time code execution.

  • Learn to work with text files.

  • Learn to work with csv files.

  • Learn to work with .ini files.

  • Learn to read and create zip files.

  • Learn to serialize and de-serialize python objects.

  • Learn to use “ipaddress” module.

  • Learn to determine the hash values of a string.

  • Learn to determine the hash values of files.

You get a 30-day money-back guarantee!

What is stopping you from enhancing your Python Skills?

Course Curriculum

Chapter 1: Introduction

Lecture 1: What is this course all about?

Lecture 2: Recommendations & Requirements

Lecture 3: Course Resources

Chapter 2: Working with OS, System, Arguments

Lecture 1: Module Overview

Lecture 2: "sys" module

Lecture 3: "os" module – Part 1

Lecture 4: "os" module – Part 2

Lecture 5: "shutil" module

Lecture 6: Python Documentation for modules

Lecture 7: "sys" module – argv

Lecture 8: "argparse" module

Lecture 9: "glob" module

Chapter 3: Working with Numbers

Lecture 1: Module Overview

Lecture 2: "math" module

Lecture 3: "random" module

Lecture 4: "statistics" module

Chapter 4: Working with Dates, Time and Calendar

Lecture 1: Module Overview

Lecture 2: Basics

Lecture 3: Extracting Information from "datetime" class

Lecture 4: Formatting date

Lecture 5: Formatting time

Lecture 6: "timestamp" module

Lecture 7: Date Difference

Lecture 8: "timedelta" module

Lecture 9: "calendar" module

Lecture 10: "time" module

Lecture 11: "timeit" module – Part 1

Lecture 12: "timeit" module – Part 2

Chapter 5: Working with files

Lecture 1: Module Overview

Lecture 2: Working with files – Part 1

Lecture 3: Working with files – Part 2

Lecture 4: Working with files – Part 3

Lecture 5: Working with "csv" files

Lecture 6: "pickle" module

Lecture 7: "tempfile" module – Part 1

Lecture 8: "tempfile" module – Part 2

Lecture 9: "zipfile" module – Part 1

Lecture 10: "zipfile" module – Part 2

Lecture 11: "zipfile" module – Part 3

Lecture 12: "configparser" module

Chapter 6: Working with IP Addresses

Lecture 1: Module Overview

Lecture 2: "ipaddress" module – Part 1

Lecture 3: "ipaddress" module – Part 2

Lecture 4: "ipaddress" module – Part 3

Chapter 7: Creating Hash Values

Lecture 1: Module Overview

Lecture 2: "hashlib" module – Part 1

Lecture 3: "hashlib" module – Part 2

Chapter 8: Web & Data

Lecture 1: "textwrap" module – Part 1

Lecture 2: "textwrap" module – Part 2

Lecture 3: "json" module – Part 1

Lecture 4: "json" module – Part 2

Lecture 5: "json" module – Part 3

Chapter 9: Conclusion

Lecture 1: Congrats!

Lecture 2: Bonus

Instructors

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  • 1 stars: 1 votes
  • 2 stars: 0 votes
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  • 4 stars: 0 votes
  • 5 stars: 2 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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