Python MultiTrack- beginners and professionals- zero to hero

Install Xcode command line tools to set up the macOS development environment for Python, enabling git and Homebrew to install Python 2 and Pip.

Learn to create a hello world project with Python 3 on command line, perform arithmetic with a and b, print the result, edit hello world.py with vi, and run.

Set up a hello world project in PyCharm Community Edition, configure a Python 3 virtual environment, and run a script that adds 14 and 23 and prints 'Hello world'.

Set up a Python multi-track project environment with four areas: fast track, detail track, examples, and play, using a dedicated virtual environment and a hello world test.

Install python 3.8.2 on windows from python.org, verify with hello world and a+b, then install PyCharm community edition and run a hello world project in a virtual environment.

Set up a Python multi-track project with a virtual environment, create folders for detail track, fast track, examples, and play, and test by running a hello world script.

Build a banking gui in Python that reads JSON transaction files, converts hexadecimal to decimal, applies transactions to accounts, and generates opening and closing balances.

Set up the banking project by creating a data folder with accounts and a multi-format transactions file, and illustrate hexadecimal to decimal conversions for client records and debits/credits.

Learn how to assign data to variables in Python, name values, and print component strings such as file header records, file date, and client transaction details for data processing.

Learn how to work with Python variable types by converting strings to int and float, printing types, and parsing transaction data to distinguish string, int, and float values.

Extract data from transaction records by slicing Python strings to retrieve the file header, file date, and client records, using zero-based indexing.

Explicitly cast extracted data to the proper types (int, float, date) after slicing header records, ensuring account numbers, transaction amounts, and record counts are typed correctly.

Learn how to convert hex account numbers to decimal in Python by casting hex strings to integers with base 16 and printing the results.

Convert a days string to a proper Python date using the datetime module, extracting year, month, day, hour, and minute (and seconds) by slicing and casting to int.

Transform procedural code into reusable Python functions by defining parse file header, parse client header, and parse file footer, then pass records and invoke in the correct order.

Learn to refactor code to collect file records as tuples by returning values from parsing functions (header, client header, transactions) and printing via a dedicated detail printer.

Learn how to design an account object by reusing the transaction object, parsing client header and transaction data, and building an account from code and transaction count.

Create account and transaction objects, add transactions to each account, and print accounts with their transactions.

Parse a JSON accounts file in Python to load opening balances and account codes, create account objects, and integrate with the transaction parser workflow.

Modify the account model to update existing accounts with transactions, track transaction counts, and compute closing balances from opening balances using credits and debits.

Learn to compute closing balances by parsing accounts and transactions, using a class-level accounts dictionary keyed by account code, and integrate parsing with robust tests.

learn to build a main app module and an app controller, organize tests, and parse accounts and transaction data to produce a structured json output.

Build a banking GUI in Python to upload accounts and transactions, process and display JSON output, and visualize analyzed results with a pie chart.

Create a gui frame by building a Python app with model, view, and controller, wire banking view to a Tkinter window, set its title and geometry, and run main loop.

Add upload accounts and upload transactions buttons to the top left and right frames, wire click events, and adjust frames to fit and mirror process and analyze transactions.

Layout the input and output frames with a tab bar, add accounts and transactions tabs, and remove the blue border for a clean layout.

Learn to add button controllers in a gui, create write methods for accounts, transactions, and output details, and wire button handlers to update text fields and load and process data.

Learn to read and parse data files in a Python MultiTrack app by opening a file dialog to select account or transaction files and update accounts and transactions tabs.

Implement the final solution by parsing transaction data from files, processing the data, and generating output, using a 24 banking GUI and added parsing code.

Learn to parse account and transaction data by loading file names, reading contents, and parsing records into a json output, with modular get file name and get file content steps.

Tidy up the user interface in this final exercise by showing a popup when accounts or transactions files are missing, remove error messages, and adjust colors and launch screen size.

Tidy up the multi-track app by adjusting window geometry, improving visuals with borders and color, and adding validation with pop-up errors for missing accounts or transactions files.

Launch graphs for banking projects to analyze data by uploading accounts and transactions files, processing transactions, and generating a pie chart that shows credits versus debits as percentages.

Learn to create straight-line and multi-graph plots with matplotlib by plotting x and y points, labeling axes, enabling grids, and adding legends.

Create a scatter graph of planets from Mercury to Neptune, plotting distance from the sun versus radius in kilometers, with colored, size-scaled dots and a planet legend.

Create a simple bar chart of days in each month using Python, label bars with three-letter month names, and annotate each bar with its day count.

Create a simple pie chart of planet radii using plot lib, assign colors, add a legend, and adjust start angle, shadow, and explode effects for a polished visualization.

Learn to compute total credits and debits from banking transactions, using a create credits and debits method, process accounts and transactions, and visualize results with a pie chart.

Learn basic python syntax by executing code in the terminal, writing and saving scripts with vi, and using comments and indentation to structure control flow.

Explore how Python stores data with variables, using naming conventions that start with a letter or underscore. Practice assignment, reassignment, and multi‑assignment of strings, integers, and floats, with type checks.

Build a hospital booking system in python: define patient records, assign designated and allocated doctors, manage theatres and time slots, and print patient schedules.

Explore core data types in Python, including int, float, and string. Demonstrate integers as whole numbers, positive or negative, with no decimals, and use the type function to verify.

Learn how to work with floats in Python, exploring floating point numbers, declaring decimal values like pi, assigning x, y, z, and printing both values and their float type.

Explore Python strings, including single and double quotes, variable assignment, and printing; learn to create multi-line strings with triple quotes and print them.

Master printing and formatting strings in Python by concatenating values with type conversion to strings, using separators, and printing collections via unpacking lists and tuples.

Demonstrate base conversion in Python by converting decimal to binary, octal, and hexadecimal and displaying results with formatted strings.

Learn how to work with scientific notation in Python using e notation and f-strings, print formatting, and how floats represent powers of ten, infinity, and min/max ranges.

Master how to use special characters in Python strings, including embedded quotes, escaping with backslashes, and formatting with braces while handling newlines, tabs, and backspaces.

Explore Python string manipulation with methods such as capitalize, upper, lower, casefold, find, startswith, endswith, count, split, and replace. Apply slicing and splitting to extract dates, addresses, and transaction details.

Explore how Python evaluates boolean values through comparisons and conditions, showing true and false results and the truthiness of nonzero numbers and nonempty collections.

Update the hospital booking system to use correct data types, rename variables, and implement a simple solution showing patient and doctor theater assignments with dates and hours.