Programming For Absolute Beginners Using Python

Learn lists in Python, their dynamic memory behavior, and essential operations such as copy, clear, insert, append, remove, reverse, and count. Explore looping with range to traverse lists.

This lecture explains modular programming in Python by using modules as specialists you call with import statements; learn to alias modules and create reusable, shared code.

Discover how to install, update, and uninstall ready-made Python modules in your environment, import them, and use their functions like mean to solve math tasks.

Create a private Python module in Jupyter notebook. Import and reload the module to reflect changes, and define functions with def to perform calculations.

Explore how an API drives open banking with a dictionary data model to fetch European Central Bank exchange rates, like USD against EUR, via programmatic requests and responses.

Learn how Python dictionaries store data as key-value pairs, build nested structures, and access values from external data sources such as the European Central Bank exchange rates.

Connect to the European Central Bank API using requests and json, fetch the latest exchange rates with GET, verify a successful 200 status, and parse results as a dictionary.

Extract exchange rates from the European Central Bank and convert the json data into a pandas dataframe to build a small euros-to-dollars converter using the retrieved rate.

Create a reusable Python module by writing a new file, defining functions, and importing it into a notebook; reload the module to apply changes and call functions with parameters.

Build a reusable Python function to fetch real-time currency rates from the European Central Bank, turning currency codes into updated prices using requests.

Explore how to model an ATM system using a context diagram, detailing currency exchange with the European Central Bank, fees, balance checks, and core banking interactions.

Explore using a core banking module to implement an ATM withdrawal. Convert USD to euro using ECB rates, apply fees, check balance, update the account, and log the transaction.

Load order data from Excel with Pandas, compute VAT for qualifying orders over 2000 USD with profit, filter the results, and export a VAT report with total VAT.

Load, extract, transform, and use exchange rates from the European Central Bank API. Build a pandas data frame and compute the usd to eur conversion for a given amount.

Learn how to fetch historical and latest exchange rates from the European Central Bank using requests, build a service, and extract data for the U.S. dollar.

Learn to create a python web app by setting up a python environment, installing the jungle framework, creating a project and app, defining a view, and running a local server.

Install and launch Anaconda and Jupyter Notebook, create a desktop folder, run basic Python commands, and learn flowcharts and list versus set concepts for assignment planning.

Explore building and accessing dictionaries in Python, including nested structures, printing results, and using them for data like an atm transaction with balances, fees, and validation.

Learn how to connect to the European Central Bank to retrieve live exchange rates using Python's requests library, parse JSON to a dictionary, and extract euro-based rates for open banking.

Learn to retrieve data via the ECB API and handle euro, US dollar, and yen exchange rates in Python while building modular code for simulated bank balances and transactions.

Learn try and except using the with statement to safely read and write text files, update a balance in a function, and auto close files.

Implement a balance update function that saves the new balance for a card number and signals success with a flag.

Learn to build a Python web app with Django by creating views, routing, and templates, and returning http responses. Run the development server to render HTML pages.