How college students should start learning Python | Notes

This article is written for college students who are still hesitating about whether to learn Python.

I started learning Python from scratch myself and made quite a few mistakes along the way. I have compiled the most useful information I found to help you avoid common pitfalls and get started quickly.

Why College Students Should Learn Python

Here’s the conclusion in one sentence: Python is currently the most suitable programming language for non-computer science students to get started with.

The reasons are simple:

Advantage	Explanation
Simple syntax	Close to natural language, easy for beginners
Wide range of applications	Suitable for data analysis, automation, AI, and web development
Abundant learning resources	Many Chinese-language tutorials, videos, and communities available
Career advantage	Knowing Python is a plus regardless of your major

Whether you’re a humanities, business, or arts student, it doesn’t matter. Python doesn’t require any mathematical background or an understanding of computer science principles. You can start learning as long as you can type.

Step 1: Set Up Your Environment (30 minutes)

Many people get stuck at this step, but it’s not that complicated.

For Windows Users

Download the appropriate version from the link below (Huawei Cloud image, fast domestic download):

Version	Description	Download
Python 3.12.10	Recommended	Download (26MB)
Python 3.11.9	Stable version	Download (26MB)
Python 3.10.11	Recommended	Download (28MB)

After downloading, double-click to install it. Make sure to check the “Add Python to PATH” option (many people overlook this step), then click Install Now. The installation should take just a minute or two.

For Mac Users

Python is pre-installed on Mac, but the version might be older. Here’s how to update it:

Install Homebrew (Mac’s package manager) by opening the Terminal and typing:

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

After installation, install Python:
```
brew install python
```
That’s it.

Verify the Installation

Open the Terminal (called “Command Prompt” or “PowerShell” on Windows) and type:

python --version

If Python 3.12.x is displayed, the installation was successful.

Step 2: Choose a Code Editor

Don’t use Notepad to write code; it’s too inefficient. Here are two recommended editors:

Editor	Features	Recommendation
VS Code	Free, lightweight, with many plugins	⭐⭐⭐⭐⭐
PyCharm	Professional Python IDE with powerful features	⭐⭐⭐⭐

Newbies should start with VS Code because it’s free, fast to launch, and has a rich community of resources.**

After installing VS Code, install the Python extension:

Open VS Code.
Click the extension icon on the left (or press Ctrl+Shift+X).
Search for “Python” and install the official Microsoft extension (the most downloaded one).

Step 3: Learn Basic Syntax (2–4 weeks)

Don’t just read books right away; start writing code. Here are the core concepts to learn in order:

3.1 Variables and Data Types

# Variable assignment
name = "violet"
age = 20
score = 95.5
is_student = True

# Printing
print("My name is " + name)
print(f"I am {age} years old")  # f-string formatting, very common

3.2 Conditional Statements

score = 85

if score >= 90:
    print("Excellent")
elif score >= 80:
    print("Good")
elif score >= 60:
    print("Pass")
else:
    print("Fail")

3.3 Loops

# For loop: Iterates through a list
fruits = ["apple", "banana", "orange"]
for fruit in fruits:
    print(fruit)

# While loop: Repeats a block of code
count = 0
while count < 5:
    print(f"Round {count + 1}")
    count += 1

3.4 Functions

def greet(name):
    """A greeting function"""
    return f"Hello, {name}!"

message = greet("violet")
print(message)  # Output: Hello, violet!

3.5 Lists and Dictionaries

# Lists: Ordered collections
students = ["Xiaoming", "Xiaohong", "Xiaogang"]
students.append("Xiaoli")  # Adding an element
print(students[0])  # Accessing the first element

# Dictionaries: Key-value pairs
student = {
    "name": "Xiaoming",
    "age": 20,
    "major": "Computer"
}
print(student["name"])  # Output: Xiaoming

Mastering these five concepts will give you a solid foundation in Python.

Step 4: Work on Projects (The Most Important Step)

Just reading tutorials without doing any projects is like not really learning. Here are some projects, from easy to difficult:

Beginner Projects

1. Simple Calculator

def calculator():
    print("Simple calculator")
    num1 = float(input("Enter the first number: "))
    op = input("Enter the operator (+, -, *, /): ")
    num2 = float(input("Enter the second number: "))
    
    if op == "+":
        print(f"Result: {num1 + num2}")
    elif op == "-":
        print(f"Result: {num1 - num2}")
    elif op == "*":
        print(f"Result: {num1 * num2}")
    elif op == "/":
        if num2 != 0:
            print(f"Result: {num1 / num2}")
        else:
            print("Error: Division by zero is not allowed")
    else:
        print("Invalid operator")
    calculator()

2. Number Guessing Game

import random

target = random.randint(1, 100)
guess_count = 0

print("Number guessing game! I have thought of a number between 1 and 100.")

while True:
    guess = int(input("Your guess: "))
    guess_count += 1

    if guess < target:
        print("Too low")
    elif guess > target:
        print("Too high")
    else:
        print("Congratulations! You guessed it in {guess_count} attempts.")
        break

3. Batch File Renaming

import os

# Add a prefix to all.txt files in the current directory
folder = "./documents"
prefix = "2026_"

for filename in os.listdir(folder):
    if filename.endswith(".txt"):
        new_name = prefix + filename
        os.rename(os.path.join(folder, filename), os.path.join(folder, new_name)
        print(f"Renamed: {filename} to {new_name}")

Advanced Projects

Project	Required Skills	Difficulty
Scraping Douban’s Top 250 movies	requests + BeautifulSoup	⭐⭐
Creating word clouds	wordcloud + jieba	⭐⭐
Sending emails automatically	smtplib	⭐⭐
Building a simple website	Flask framework	⭐⭐⭐
Data analysis with charts	pandas + matplotlib	⭐⭐⭐

Step 5: Choose a Direction to Deepen Your Skills

Python can be used for many things. Choose a direction that interests you and focus on it:

Data Analysis (Most Popular)

Suitable for business, economics, statistics, and social science students:

Learning path: Python basics → pandas → matplotlib → seaborn → Introduction to machine learning

Recommended projects: Analyzing your own spending habits, analyzing movie data, creating visual reports

Automation

Suitable for students in all majors:

Learning path: Python basics → openpyxl (for Excel) → python-docx (for Word) → Automation scripts

Use cases: Batch processing Excel files, automating document organization, sending emails at set times

Web Development

Suitable for computer science and information science students:

Learning path: Python basics → Flask/Django → Databases → Front-end development

Use cases: Building personal blogs, small management systems

Learning Resources

Free Tutorials

Resource	Type	Suitable for
Runoob Python Tutorial	Online documentation	Beginner
Liaoxuefeng Python Tutorial	Online tutorial	Beginner to advanced
Python Official Documentation	Official documentation	Advanced
Bilibili videos on “Python tutorials”	Videos	Beginner

Book Recommendations

“Python Programming: From Beginner to Practice” – Great for beginners with practical projects.
“Learn Python 3 in the Most Easy Way” – Suitable for those with no experience, step-by-step code guidance.
“Data Analysis with Python” – Essential for data analysis.

Practice Platforms

Platform	Features
NowCoder	Chinese-language practice questions, useful for job hunting
LeetCode	Algorithm practice, essential for interviews
Kaggle	Practical data science projects

Common Questions

Q: Can I learn Python with no background?
Yes. Python is an easy-to-get-started language, and many non-computer science students are learning it. The key is to write code every day, even for just 30 minutes.

Q: Should I enroll in a training course?
I don’t recommend it. Free online resources are sufficient, and most of the content in training courses is also available online. Save your money and use it to buy a good book or treat yourself to a meal.

Q: How long will it take to find a job after learning Python?
It depends on your goal. If you just want to add Python to your resume, 2–3 months of basics is enough. If you want to switch careers to programming, you’ll need at least half a year to a year of systematic study.

Q: Should I learn Python or Java/C++ first?
Learn Python first. Its syntax is simpler, you get quick feedback, and it gives you a sense of achievement. Once you have a programming mindset, learning other languages will be easier.

Q: How much time should I spend learning every day?
I recommend at least 30 minutes to 1 hour per day. The important thing is to write code every day. Learning intermittently (three days on and two days off) is less effective than learning for half an hour every day.

My Suggestions

Just get started. Don’t worry about which editor to use or which tutorial to follow. Just write print("Hello World"). The moment you see the output, you’ll be on your way.
Working on projects is 100 times more important than just reading tutorials. Start working on projects immediately; look up the parts you don’t understand later.
Don’t be afraid of errors. Error messages are your best teachers; understanding them is more useful than reading tutorials.
Find a study partner. Learning alone can be discouraging; studying with a classmate can help you stay motivated and improve your progress.
Record your learning process. Writing a blog or taking notes helps you consolidate your knowledge and feels rewarding when you look back.

Python isn’t difficult; the hard part is starting. Open the Terminal now, type python, and take the first step.