DEV Community

Programming Entry Level: learn self taught

Understanding Learn Self-Taught for Beginners

Learning to code can feel overwhelming, especially when you're starting out. You'll hear a lot about bootcamps, college degrees, and structured courses. But what about learning self-taught? It's a popular path, and it's totally achievable! This post will break down what it means to learn self-taught, common pitfalls, and how to get started. This is also a topic that often comes up in interviews – being able to articulate your self-learning journey is a valuable skill.

Understanding "Learn Self-Taught"

"Learning self-taught" simply means taking responsibility for your own learning journey. Instead of a teacher assigning you tasks and grading your progress, you decide what to learn, how to learn it, and how to measure your success.

Think of it like learning to cook. You could take a cooking class (a structured course), or you could find recipes online, watch videos, experiment, and learn from your mistakes (self-taught). Both methods can lead to delicious results, but they require different approaches.

Self-taught learning relies heavily on resources like online documentation, tutorials, blog posts (like this one!), and practice projects. It's about being proactive, resourceful, and persistent. It's also about building a portfolio to demonstrate your skills, since you won't have grades or a degree to show.

Here's a simple way to visualize the process:

graph LR
    A[Identify Learning Goal] --> B(Find Resources);
    B --> C{Practice & Build};
    C --> D[Evaluate & Refine];
    D --> A;
Enter fullscreen mode Exit fullscreen mode

This diagram shows the cyclical nature of self-learning: you set a goal, find resources, practice, evaluate your progress, and then refine your approach. It's an iterative process!

Basic Code Example

Let's look at a simple example in Python to illustrate a basic concept: functions. Functions are reusable blocks of code that perform a specific task.

def greet(name):
  """This function greets the person passed in as a parameter."""
  print("Hello, " + name + "!")

greet("Alice")
greet("Bob")
Enter fullscreen mode Exit fullscreen mode

Now let's break down what's happening:

  1. def greet(name): defines a function named greet that takes one argument, name.
  2. """This function greets the person passed in as a parameter.""" is a docstring, which explains what the function does. It's good practice to include these!
  3. print("Hello, " + name + "!") is the code that actually performs the greeting. It concatenates the string "Hello, ", the value of the name variable, and the string "!".
  4. greet("Alice") and greet("Bob") call the function with different names, resulting in different outputs.

This simple example demonstrates how you can learn a new concept (functions) and immediately apply it.

Common Mistakes or Misunderstandings

Here are a few common mistakes beginners make when learning self-taught:

❌ Incorrect code:

print "Hello, world!" # Python 2 syntax

Enter fullscreen mode Exit fullscreen mode

✅ Corrected code:

print("Hello, world!") # Python 3 syntax

Enter fullscreen mode Exit fullscreen mode
  • Explanation: Python 2 and Python 3 have slightly different syntax for the print statement. Using the wrong syntax will cause errors. Always check which version you're using and use the correct syntax.

❌ Incorrect code:

var x = 5;
console.log(x);
x = "Hello";
console.log(x);
Enter fullscreen mode Exit fullscreen mode

✅ Corrected code:

let x = 5;
console.log(x);
x = "Hello";
console.log(x);
Enter fullscreen mode Exit fullscreen mode
  • Explanation: Using var can lead to unexpected behavior due to its function scope. let and const are preferred for block scoping, making your code more predictable.

❌ Incorrect code:

if x = 5:
  print("x is 5")
Enter fullscreen mode Exit fullscreen mode

✅ Corrected code:

if x == 5:
  print("x is 5")
Enter fullscreen mode Exit fullscreen mode
  • Explanation: = is the assignment operator (used to assign a value to a variable). == is the comparison operator (used to check if two values are equal). Using the wrong operator will lead to errors or unexpected behavior.

Real-World Use Case

Let's imagine you want to create a simple program to manage a list of tasks. We can use object-oriented programming to represent each task as an object.

class Task:
    def __init__(self, description, completed=False):
        self.description = description
        self.completed = completed

    def mark_completed(self):
        self.completed = True

    def __str__(self):
        return f"Task: {self.description}, Completed: {self.completed}"

# Create some tasks

task1 = Task("Grocery shopping")
task2 = Task("Walk the dog", True)

# Print the tasks

print(task1)
print(task2)

# Mark task1 as completed

task1.mark_completed()

# Print the updated task list

print(task1)
Enter fullscreen mode Exit fullscreen mode

This example demonstrates how you can apply object-oriented principles to solve a real-world problem. You've defined a Task class with attributes (description, completed) and methods (mark_completed). This is a small but practical example of how you can build something useful.

Practice Ideas

Here are a few ideas to practice your skills:

  1. Simple Calculator: Create a program that takes two numbers and an operation (+, -, *, /) as input and performs the calculation.
  2. Number Guessing Game: Generate a random number and have the user guess it. Provide feedback (too high, too low) until they guess correctly.
  3. To-Do List App (Console-Based): Build a simple to-do list application where users can add, view, and mark tasks as complete.
  4. Unit Converter: Create a program that converts between different units (e.g., Celsius to Fahrenheit, inches to centimeters).
  5. Mad Libs Generator: Prompt the user for different types of words (nouns, verbs, adjectives) and then insert them into a pre-written story.

Summary

Learning self-taught is a challenging but rewarding path. It requires discipline, resourcefulness, and a willingness to learn from your mistakes. Remember to break down complex problems into smaller, manageable steps, and don't be afraid to ask for help when you get stuck.

Congratulations on taking the first step! From here, I recommend exploring data structures and algorithms, version control (Git), and building more complex projects to solidify your understanding. Keep practicing, keep learning, and most importantly, have fun! You've got this!

Top comments (0)