Free online coursePython

Course Description

The course "Python" offers an intensive dive into Python programming, spanning 6 hours and 13 minutes of instructional content. It has received high acclaim, boasting an impressive average rating of 4.64 out of 5 stars, indicative of its high quality and the satisfaction of its participants.

This course falls under the Information Technology category and specifically within the subcategory of Multipurpose Programming Languages, which includes other prominent languages like Ruby, Java, and C. It is designed to be an all-encompassing introduction to Python, suitable for both beginners and those looking to brush up on their skills.

The course begins with the essential steps of installing Python and quickly transitions into practical programming insights like working with numbers and strings. Fundamental topics such as slicing strings, using lists, and installing the PyCharm integrated development environment are well covered. Conditional statements, loops, and the use of range and while loops are also part of the curriculum, ensuring a robust foundation in control flow in Python.

From there, the course moves into more advanced territories, introducing topics like functions, return values, default values for arguments, and variable scope. Participants also learn about keyword arguments, flexible numbers of arguments, and the concept of unpacking arguments. These topics are pivotal for writing clean, efficient Python code.

Real-world applications are also explored, including practical examples like downloading images from the web, reading and writing files, and building a web crawler. The course further delves into object-oriented programming with detailed lessons on classes and objects, initialization (`__init__`), class versus instance variables, inheritance, and multiple inheritance.

For those interested in concurrency, there's a segment on threading, followed by a comprehensive Word Frequency Counter project spread across three tutorials. Additional advanced topics, such as unpacking lists or tuples, using the zip function, and understanding lambda functions, are also included.

The course continues to help learners build utility skills by covering functions for finding the minimum, maximum, and sorting dictionaries, working with the Pillow library for image processing, and performing tasks such as cropping, combining images, and creating awesome merge effects. Bitwise operators, struct, and advanced dictionary operations like finding the most frequent items, dictionary calculations, and sorting custom objects are also a part of the rich instructional lineup.

Overall, "Python" provides a comprehensive and highly rated educational experience that equips learners with both fundamental and advanced Python programming skills, ensuring they are prepared for a wide array of real-world applications in the field of Information Technology.