
Compare editors and IDEs across Windows, Linux, and macOS, from Notepad and vi to VS Code, Eclipse, and PyCharm, then set up Python development on Ubuntu with Python 3.x.
Trace the history of python from its 1991 release to major 2.x and 3.x milestones, migration needs from python 2 to 3, and notable 3.5 and 3.8 releases.
Learn to comment Python code using three methods: single line with #, inline comments, and multi-line blocks with triple quotes; see practical examples.
Explore python.org to download the latest version of Python, access documentation and tutorials, and learn the language and library references, including the math library power function and online help.
Explore built-in data types in Python, including integers, floats, lists, tuples, strings, dictionaries, sets, and file objects, with emphasis on mutability and immutability, true/false booleans, and None.
Explore Python operators, including automatic operators, comparison operators, assignment operators, logical operators, bitwise operators, membership operators, and identity operators, with hands-on examples in the REPL environment.
Master bitwise operators in binary—and, or, xor, complement, left shift, and right shift—through 21 and 25 examples with results like 17, 29, 12, -22, 84, and 5.
Download the attached zip file that contains all the demo scripts used in the videos.
Please see the attachments for solution script/s.
Please see the attachments for solution script/s.
Apply and refine if statements and nested if blocks in Python using a score variable to handle conditions like less than 100, equal to 100, and greater than 200.
Explore the Python while loop by defining a condition that remains true to keep executing statements, and exit the loop when the condition fails.
Discover how the Python for loop iterates over a list of items with for x in ..., processing each element—numbers or strings—and ends when the list is exhausted.
Download the attached zip file that contains all the demo scripts used in the videos.
Learn to extract sublists with index ranges, understand end-exclusive slicing, use negative indices, and locate items with index() while optionally narrowing searches with start and end bounds.
Learn to manipulate Python lists by appending, extending, and inserting items. Then update specific elements by index or replace a range, and concatenate lists with the plus operator.
Explore how to copy lists in Python using assignment or the copy method. Compare aliasing with independent copies to see how changes propagate.
Download the attached zip file that contains all the demo scripts used in the videos.
Learn how to count occurrences and find the index of items in lists and tuples, using the membership operator and a for loop to iterate.
Download the attached zip file that contains all the demo scripts used in the videos.
Explore membership operators for Python sets, using in and not in to check elements like Kim. Iterate through set items, noting sets have no index and are unordered.
Explore Python sets and built-in functions including all, any, len, max, min, and sorted, with practical examples of true/false values, empty sets, and type handling.
Download the attached zip file that contains all the demo scripts used in the videos.
Download the attached zip file that contains all the demo scripts used in the videos.
Explore common Python string methods for validation, case conversion, whitespace handling, alignment, and presence checks (isalpha, isdigit, islower, isupper, startswith, endswith), with practical examples.
Download the attached zip file that contains all the demo scripts used in the videos.
Python programming is easy to learn and immensely rewarding. With just some dedication, you’ll be well on your way to becoming an expert! Python's versatility has made it one of the most sought-after skills in the job market, with applications in web and application development, data science, infrastructure automation, IoT, cloud computing, DevOps, backend development, and more. Don’t wait—start your journey with Python Programming today!
Key Topics Covered:
Basics of Python Programming
Data Structures and Algorithms in Python
Web and Application Development
Data Science and Machine Learning
Infrastructure Automation with Python
Internet of Things (IoT)
Cloud and DevOps with Python
Backend Development Techniques
Who Should Enroll:
Beginners who want to dive into Python programming
Professionals looking to enhance their skill set
Anyone eager to explore the diverse applications of Python
Learning Outcomes:
Mastery of Python programming fundamentals
Ability to apply Python in various fields such as web development, data science, and more
Proficiency in writing efficient Python scripts for automation
Hands-on experience through practical projects
Format:
Online, self-paced learning with interactive modules
Access to course materials and resources 24/7
Certification:
Earn a recognized certificate upon completion
Ready to unlock your potential and become a Python expert? Dive into the world of Python programming and open doors to countless opportunities across various fields. This course is your gateway to mastering a skill that’s in high demand. Don't miss out—embrace the future, enhance your career, and start your Python journey today!