Python 3.7 - Programming Language Basics

Explore why Python exists and its current course version 3.7.4. See Python's applications in machine learning, data analysis, and web scraping, supported by simple, readable syntax, and open source libraries.

Learn how to install the Anaconda distribution for Python, with Jupyter notebooks, across Windows, Mac OS, and Linux, verify with Anaconda Navigator, and launch Jupyter Lab or Notebook.

Compare Miniconda and the full Anaconda distribution to install Python and Conda. Download either option and follow cross-platform installation steps for Windows, macOS, and Linux, noting Miniconda’s smaller size.

Learn to store data in variables and use them in Python programs. Follow naming rules—letters, numbers, underscores; cannot start with a number—and avoid Python keywords. Practice printing and name errors.

Learn how to add whitespace to strings using tabs and newlines to improve readability, through concatenating first and last names and formatting text with tab and newline syntax.

Strip extraneous whitespace from strings using rstrip, lstrip, and strip to compare values, such as usernames during login, and see how Python handles whitespace.

Modify elements in a dynamic Python list by changing items at specific indices, replacing values with numbers, and verifying changes with print statements.

Explore how to organize a Python list with the sort method to preserve or change order, including sorting in alphabetical order and reversing with reverse=True, noting the change is permanent.

Explore how the sorted function displays a list in a chosen order without altering the original, including reverse sorting and handling case sensitivity by converting items to lowercase.

master proper indentation in python for loops by examining common errors—missing indented blocks, incorrect indentation inside a loop, and missing colon—to ensure all statements execute for every item.

Learn to build and manipulate numerical lists in Python for data visualizations using the range function and for loops, and understand off by one behavior when printing 1 to 5.

Explore Python 3.7 list operations by calculating the minimum, maximum, and sum of a number list, then append duplicate values and observe how duplicates affect min, max, and sum results.

Learn how to loop through all values in a tuple using a for loop in Python 3.7, iterating tuple elements efficiently.

Learn to use if statements and conditional tests to control flow, applying a for loop over a list to print items in title case, while uppercasing specific values like Audi.

Explore boolean expressions as conditional tests that evaluate to true or false, using flag variables to track conditions and drive output with if statements.

Omit the else block in a Python if-elif chain by using additional elifs to cover conditions, such as age groups 0 to 17, 18 to 64, and 65+, ensuring tests.

Learn to use Python dictionaries to access, modify, and loop through data, nest dictionaries inside lists and other dictionaries, and model real world objects such as a person.

Modify dictionary values by assigning a new value to a key, convert string to integer, and use conditional printing to greet based on the first name in a Python dictionary.

Learn to loop through a Python dictionary using for loops to iterate all key-value pairs, keys, or values, printing ages and other data with items.

Loop through dictionary keys in Python 3.7 using a for loop or the keys method to print messages like 'John, welcome to Python course.'

Learn how function calls operate in Python 3.7 within the programming language basics course, including invocation syntax and how arguments flow through calls.