Create a Study Plan Tool with Python for Efficient Exam Preparation

Last night, I couldn’t sleep due to the upcoming exams. I kept thinking about how to efficiently review in a short time, and suddenly it hit me: why not use Python to create a small tool to help me formulate a study plan? Without hesitation, I jumped up and started coding.

Time Management Master: datetime Module

To handle date calculations, the <span>datetime</span> module is definitely the best choice.

from datetime import datetime, timedelta

exam_date = datetime(2025, 6, 15)  # Set exam date
today = datetime.now()
days_left = (exam_date - today).days

print(f"There are {days_left} days left until the exam. Don't panic, we can handle it calmly!")

Running this code, you will clearly know how many days you have left to review. Seeing the exact number makes you feel much more at ease, doesn’t it?

Friendly reminder: Don’t forget to check if your system time is correct, otherwise, you might end up with a result like “the exam has already ended,” which can be quite frustrating.

Top Student’s Secret Weapon: random Module

Next, we need to randomly arrange the review content for each day to avoid monotony.<span>random</span> module will be our reliable assistant.

import random

subjects = ["Mathematics", "English", "Major Course", "Politics"]
daily_plan = random.sample(subjects, k=min(len(subjects), 3))

print(f"Today's review plan: {', '.join(daily_plan)}. Go for it, you are the best!")

This code will randomly select 3 subjects as the review content for the day. Sometimes, fate’s arrangement is more reliable than the decisions we struggle with for half a day!

Progress Bar: tqdm Module

During the learning process, seeing the progress bar filling up little by little is simply an amazing sense of achievement! Let’s use the <span>tqdm</span> module to realize this little happiness.

from tqdm import tqdm
import time

total_tasks = 100
for _ in tqdm(range(total_tasks), desc="Review Progress"):
    time.sleep(0.1)  # Simulate the learning process
print("Full marks are waving at you, keep it up!")

Running this code, you will see a dynamic progress bar slowly filling up. With each knowledge point completed, the progress bar moves a step forward, visualizing your learning motivation!

Memo Plus: json Module

The study plan is set, but it needs to be adjusted at any time. Let’s use the <span>json</span> module to store and update our plan.

import json

study_plan = {
    "Mathematics": ["Advanced Mathematics", "Linear Algebra", "Probability Theory"],
    "English": ["Vocabulary", "Reading", "Listening"],
    "Major Course": ["Algorithms", "Data Structures", "Operating Systems"],
    "Politics": ["Mao Zedong Thought", "Marxism", "Political Theory"]
}

with open('study_plan.json', 'w', encoding='utf-8') as f:
    json.dump(study_plan, f, ensure_ascii=False, indent=4)

print("The plan has been saved and can be viewed and updated at any time!")

Thus, our study plan is beautifully stored in a JSON file. To view or modify it, just open the file anytime, it’s incredibly convenient!

Alright, with this Python assistant, I feel that my learning efficiency has instantly improved by more than one level! Although it may not directly help you answer questions, it definitely makes your review journey easier and more organized.

Remember, technology’s t is actually an abbreviation for efficiency. Okay, I made that up, but this tool can indeed make your learning more efficient! Now, close your eyes, take a deep breath, and then open your eyes to embrace this study plan armed with Python! Trust me, once you get used to this learning method, you’ll find that you’ve unknowingly become a top student in others’ eyes. Come on, future top student, your high score offer is waving at you!

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