
Explore the course overview, best practices, materials access, help options, and how to earn a certificate of completion for this Python in 250 minutes course.
Python 3 in 100 Minutes Course Material
Learn how to download and install the Anaconda distribution across Windows, macOS, and Linux, and discover how it includes Python, Jupyter notebooks, and essential data science packages for easy setup.
Explore how Jupiter notebooks, an open source web application, let you write text and code in cells, run code to display results, and share interactive documents.
Learn how to run a jupiter notebook, open and navigate ipynb files, execute code and markdown cells, manage notebooks with anaconda prompt, and create new notebooks for basic python tasks.
Master variable assignments and the order of operations while performing basic mathematical operations—addition, subtraction, multiplication, division, modulo, and floor division—and learn printing, user input, and core data types in Python.
Master the order of operations, using parentheses to prioritize calculations and recognizing how exponents, multiplication, division, and addition govern results.
Explore Python basics through hands-on exercises on variables, data types, operator precedence and assignments. Tackle problems like area and perimeter, even/odd checks, and unit conversions.
Master Python basics through hands-on exercises on math operations, precedence, and variables assignment. Practice incrementing variables and cube area and volume calculations, plus unit conversions.
Learn to print data and get user input in Python, and use the format method with curly braces to insert names, ages, numbers, and values like pi.
Capture user input with input and display personalized messages using print and format, handling strings and integers with type conversion to compute sums.
Explore strings in python by defining, printing, and concatenating text, and using upper and split to transform and parse data; leverage indexing and lists for string manipulation.
Learn to work with lists in Python by defining mixed-type lists (integers, floats, strings), and master indexing (first element has index zero), slicing, nested lists, negative indexing, and list length.
Learn how to compare values in Python using operators like ==, !=, >, <, >=, <=, and understand the difference between assignment and comparison, including string case sensitivity.
Explore logical operators in Python, using and, or, and truth tables to combine conditions effectively. Build intuition with true/false concepts and practice challenges.
Learn Python conditional statements using if, elif, and else to create two code paths. See indentation, boolean logic, and practical examples like user name checks and password access.
Explore how while loops run code while a condition holds, using initialization and increment to print numbers, including 0 to 10 and 3 to 20, and break infinite loops.
Build a simple guessing game in Python that generates a random number between 1 and 50, prompts user input, and uses if-else with a while loop to guide the guess.
Input a birth date to compute age and determine the zodiac sign by using today’s date, date ranges, and if conditions that map days to signs.
# This course is for the absolute beginners who want to learn the fundamentals of python programming language.
# This course will teach you the basics of programming in a practical, easy and fun way!
# Here are 5 reasons to learn Python right now!
(1) Easy to learn: Python is the easiest programming language to learn. In fact, at the end of this single course, you’ll be able to master Python and its applications regardless of your previous experience with programming.
(2) High Salary: Did you know that the average Python programmer in the U.S. makes approximately $116 thousand dollars a year? With “Python 3 Beginning to Pro Masterclass” you’re setting yourself for up for increased earning potential that can only rise from here.
(3) Scalability: It’s true, Python is easy to learn. But it’s also an extremely powerful language that can help you create top-tier apps. In fact, Google, Instagram, YouTube, and Spotify are all built using Python.
(4) Versatility: What’s more, Python is by far the most versatile programming language in the world today! From web development to data science, machine learning, computer vision, data analysis and visualization, scripting, gaming, and more, Python has the potential to deliver growth to any industry.
(5) Future-proof Career: The high demand and low supply of Python developers make it the ideal programming language to learn today. Whether you’re eyeing a career in machine learning or artificial intelligence, learning Python is an invaluable investment in your career.