Dave Stearns Programming Tutorials

website·Indexed 30 days ago

https://drstearns.github.io/tutorials/

A comprehensive collection of web development and programming tutorials covering Go (Golang), JavaScript, HTML, CSS, and system architecture. Topics include RESTful APIs, MVC patterns, Docker, TLS/HTTPS, session management with JWT and Redis, relational databases with MySQL, and front-end concepts like Flexbox, DOM manipulation, and ES6.

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What's inside Dave Stearns Tutorials

  1. Overview of Go language characteristics

    Go is a systems programming language designed for building network services and command-line utilities. Its core characteristics include:

    • Statically-Typed: Variables and parameters are declared with specific types, allowing the compiler to catch errors at compile-time.
    • Fully-Compiled: Programs are compiled directly to native machine code for a specific architecture, removing the need for a runtime engine or virtual machine translation.
    • Statically-Linked: Standard library and third-party packages are compiled into a single executable file, simplifying distribution.
    • Garbage-Collected: Memory management is automated, preventing common memory leaks found in languages like C/C++.
    • Concurrent: Built-in support for concurrent processing via "goroutines," allowing efficient use of multiple CPU cores.
  2. Overview of popular CSS frameworks

    CSS frameworks are pre-written stylesheets that normalize browser defaults, provide consistent base formatting for HTML elements, and offer a set of reusable style classes for common UI components (e.g., badges, alerts, cards, responsive navigation bars, and multi-column layouts).

    Common frameworks include:

    • Bootstrap: The most widely used framework; well-documented and tested. Version 4 uses a flexbox-based grid.
    • Foundation: Known for being early to adopt new features like mobile-first design and flexbox grids; offers a web-based customization tool.
    • Material Components for the Web (MCW): The official Google implementation of Material Design. It is highly opinionated, difficult to customize, and uses verbose BEM (Block, Element, Modifier) naming.
    • Materialize: An open-source Material Design implementation that is generally easier to learn for those familiar with Bootstrap.
  3. Reference Go simple types and zero values

    Go provides several basic types including string, bool, int/uint (architecture dependent), specific sized integers (int8 through int64), float32/float64, and complex64/complex128. byte is an alias for uint8 and rune is an alias for int32 (used for UTF-8 characters).
  4. Understand Docker containers vs Virtual Machines

    Docker provides application isolation using containers, which are lighter-weight than Virtual Machines (VMs). While a VM includes a full copy of an operating system (OS), Docker containers share the host OS kernel. This results in a smaller memory footprint and near-instant start/stop times. Each container maintains its own independent file system, network stack, and process group, ensuring that processes in one container cannot see or communicate with processes in other containers or the host OS unless explicitly configured.
  5. Differences between HTTP/1.1 and HTTP/2

    HTTP/1.1 uses plain-text, human-readable messages, which are easy to debug but less efficient. HTTP/2 is a binary protocol that is more compact and efficient, reducing the number of bytes transmitted and increasing speed. Despite the binary encoding on the wire, HTTP/2 retains the same fundamental concepts as HTTP/1.1 (headers, bodies, and status codes), which remain visible via browser developer tools.
  6. Understand REST architectural principles

    REST (Representational State Transfer) is an architectural design pattern for scalable hypermedia systems. It is based on the following core concepts:

    • Resources: Any entity the system manages (e.g., database models, files, or physical system controllers).
    • State: The current value of a resource (e.g., the contents of a file or the properties of a database row).
    • Representations: The portable encoding of a resource's state for transmission over a network (e.g., JSON or XML for data; PNG or JPEG for images).
    • Statelessness: Requests are entirely self-describing and do not rely on state maintained on the network connection between requests. Each request must contain all information necessary to complete the action, allowing for better load balancing and caching.
  7. Understand the Model-View-Controller (MVC) pattern

    MVC is an architectural pattern used to separate the internal representation of information from the ways that information is presented to and accepted from the user.

    • Model: Manages the application's data and business rules. It ensures data is modified correctly and notifies observers (via events) when data changes. Models do not handle rendering or persistence.
    • View: Responsible for rendering the Model's data to an output device (e.g., the screen). Views listen for change events from the Model to trigger automatic re-renders. Multiple views can represent the same model simultaneously (e.g., a list view and a calendar view of the same data).
    • Controller: Handles the orchestration of the application. It is responsible for loading/saving models to persistent storage and connecting models to views. In modern JavaScript variations, user event handling is often shifted from the controller to the view.
  8. Optimize CSS frameworks with pre-compilers and build systems

    Using CSS pre-compilers (Sass or Less) and build systems (gulp or webpack) provides several advantages:

    1. Customization: You can import framework source files and override variables (fonts, colors, sizes) directly.
    2. Selective Inclusion: Include only the specific parts of the framework you need.
    3. Performance: Build systems can concatenate multiple CSS files into one, reducing network round-trips and improving page load times on mobile networks.
  9. Understand Git core concepts

    Git is a version control system that tracks changes at the line level for text files. Key concepts include:

    • Repository (repo): An archive of all committed versions of files and metadata, stored in a hidden .git directory.
    • Commit: A snapshot of file versions including the author, a descriptive message, and a timestamp.
    • Staging Area: A temporary area where changes are gathered via git add before being permanently committed to the repository.
    • Branch: A separate line of development (starting with master) used to work on features without affecting the main codebase.
    • Remote: A link to a copy of the repository on a different machine (e.g., GitHub) used for syncing via push and pull.
    • Merge Conflict: Occurs when changes from different branches or remotes affect the same lines of a file, requiring manual resolution.
    • .gitignore file: A configuration file in the project root that lists files or paths Git should ignore (e.g., IDE settings, secret keys).
  10. Trie data structure overview

    A Trie (pronounced "tree" or "try"), derived from the word "retrieval", is an n-ary tree structure designed for fast search and retrieval of entries that match a prefix string. It is commonly used for "suggest-as-you-type" features in social media or search systems. Unlike binary trees, Tries are typically wide and shallow, with a maximum height equal to the length of the longest key stored.
  11. Implement authenticated sessions in stateless HTTP

    Because HTTP is stateless, servers cannot maintain a connection-based state. To handle authenticated sessions across multiple servers (typically behind a load balancer), developers use session tokens. These tokens are passed between the client and server to either store the session state directly or act as a key to a shared session store. For security, all communication must occur over HTTPS to prevent token theft, and tokens should include expiration times to handle session timeouts.
  12. Understand the different levels of automated testing

    Automated tests are categorized by their scope and objective to ensure system reliability across releases:

    • Unit Tests: Test individual functions or classes in isolation. They should be exhaustive, covering all code paths (success and failure cases), often using a data-driven style with multiple input/output pairs.
    • Integration Tests: Test how multiple units interact within a sub-system or how the system interacts with external dependencies (e.g., databases, OS, libraries). They focus on transaction flows (like CRUD cycles) rather than exhaustive input testing. Mock implementations are often used to simulate external dependencies for easier execution and better error triggering.
    • System Tests: Test the entire system in a production-like environment. This includes starting the server and all dependencies and sending real requests (e.g., HTTP) to verify end-to-end behavior and production-specific issues like network glitches or fail-over mechanisms.
    • Stress Tests: Evaluate system behavior under extreme conditions, such as high transaction loads. These tests determine the system's breaking point and scalability, requiring infrastructure to simulate many concurrent clients and monitor resource usage (CPU, memory, queue size).