Master Python in One Month: A Comprehensive Guide

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There is no doubt that Python is one of the most popular programming languages today. For many beginners who have never been involved in computer programming, mastering Python seems like a daunting task. However, as long as you master a scientific learning method and develop a reasonable study plan, it only takes a month to go from zero to hero in Python!

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Keep in mind that a month is a long time. If you persistently dedicate 6-7 hours a day to something, you will achieve unexpected results.

As a beginner, your monthly goals should be as follows:

• Familiarize yourself with basic concepts (variables, conditions, lists, loops, functions)
• Practice over 30 programming problems
• Complete two projects using these concepts
• Become familiar with at least 2 frameworks
• Start using IDEs, GitHub, hosting, services, etc.

Overall PlanNow, let’s break down the monthly plan into weekly plans.

Week 1: Get Familiar with PythonYou should actively explore how to use Python and complete as many of the following tasks as possible:

• Day 1: Basic Concepts (4 hours): print, variables, input, conditional statements

• Day 2: Basic Concepts (5 hours): lists, for loops, while loops, functions, importing modules

• Day 3: Simple Programming Problems (5 hours): swap two variable values, convert Celsius to Fahrenheit, calculate the sum of digits in a number, check if a number is prime, generate random numbers, remove duplicates from a list, etc.

• Day 4: Intermediate Programming Problems (6 hours): reverse a string (palindrome detection), calculate the greatest common divisor, merge two sorted arrays, guessing number games, calculate age, etc.

• Day 5: Data Structures (6 hours): stacks, queues, dictionaries, tuples, trees, linked lists.

• Day 6: Object-Oriented Programming (OOP) (6 hours): objects, classes, methods and constructors, inheritance in OOP

• Day 7: Algorithms (6 hours): searching (linear and binary search), sorting (bubble sort, selection sort), recursive functions (factorial, Fibonacci sequence), time complexity (linear, quadratic and constant)

Don’t rush to install the Python environment!This may sound contradictory, but you must believe me. I have several friends who gradually lost their desire to continue learning due to failed installations of language toolkits and IDEs. Therefore, my advice is to first use some Android apps to explore the language, such as Programming Hero (https://play.google.com/store/apps/details?id=com.learnprogramming.codecamp) or online coding playgrounds like Repl (https://repl.it/). If you are a technical novice, installing the Python environment should not be your top priority.Week 2: Start Software Development (Build Projects)Next, let’s move towards software development tasks! Try to integrate the knowledge you’ve learned to complete a real project:

• Day 1: Get familiar with an IDE (5 hours): The IDE is your operating environment when writing large projects, so you need to master one. In the early stages of software development, I recommend installing the Python extension in VS Code or using Jupyter Notebook.

• Day 2: GitHub (6 hours): Explore GitHub and create a code repository. Try committing, viewing changes, and pushing your code. Also, learn how to work with branches, how to merge different branches and how to create pull requests in a project.

• Day 3: First Project – Simple Calculator (4 hours): Get familiar with Tkinter and create a simple calculator

• Days 4, 5, 6: Personal Project (5 hours each day): Choose a project and complete it. If you don’t know what to do, check the list below (https://www.quora.com/what-some-good-python-projects-for-an-middle-programmer/answer/jhankar-mahbub2)

• Day 7: Host Project (5 hours): Learn to use servers and hosting services to host your project. Set up a Heroku and deploy the application you built.

Why Write Projects?If you only learn content from classes or videos step by step, you will not develop independent thinking skills. Therefore, you must apply your knowledge to a project. When you struggle to find answers, you are also slowly learning this knowledge.Week 3: Become a ProgrammerThe goal of Week 3 is to familiarize yourself with the overall process of software development. You don’t need to master all the knowledge, but you should know some basics, as they will affect your daily work.

• Day 1: Basics of Databases (6 hours): Basic SQL queries (create tables, select, where queries, update), SQL functions (Avg, Max, Count), relational databases (normalization), inner joins, outer joins, etc.

• Day 2: Using Python with Databases (5 hours): Use a database framework (SQLite or pandas) to connect to a database, create and insert data into multiple tables, and read data from tables.

• Day 3: API (5 hours): How to call APIs. Learn about JSON, micro-services, and REST APIs.

• Day 4: Numpy (4 hours): Get familiar with Numpy (https://towardsdatascience.com/lets-talk-about-numpy-for-datasciences-beginners-b8088722309f) and practice the first 30 Numpy exercises (https://github.com/rougier/numpy-100/blob/master/100_numpy_excercises.md)

• Days 5, 6: Portfolio Website (5 hours each): Learn Django, use Django to build a portfolio website (https://realpython.com/get-start-with-django-1/), and also learn about the Flask framework.

• Day 7: Unit Testing, Logging, Debugging (5 hours): Learn unit testing (PyTest), how to set up and view logs, and use breakpoint debugging.

Truth Time (Confidential)If you are very “crazy” and focused, you can complete these tasks in a month.You must:

• Make learning Python your full-time activity. You need to start learning from 8 AM to 5 PM. During this time, you can have a lunch break and a tea break (1 hour total).

• At 8 AM, list what you need to learn today, then spend an hour reviewing and practicing what you learned yesterday.

• From 9 AM to 12 PM: Start learning and do a little practice. After lunch, you need to increase the amount of practice. If you get stuck on a problem, you can search online for solutions.

• Strictly maintain 4-5 hours of study time and 2-3 hours of practice time each day (with a maximum of one day off per week).

• Your friends may think you are crazy. Follow your own path, let others talk!

If you have a full-time job or you are a student, it may take longer to complete these processes. As a full-time student, I spent 8 months completing this checklist. Now I am a senior developer. My wife works at a large bank in the US. She took 6 months to complete the tasks mentioned in this article. So no matter how long it takes, make sure to complete them.

Week 4: Seriously Consider Job (Internship) Issues

The goal of Week 4 is to seriously think about how to get hired. Even if you don’t want to find a job now, you can learn a lot in the process of exploring this path.

• Day 1: Prepare Resume (5 hours): Create a one-page resume. Summarize your skills at the top, and make sure to include a GitHub link when writing projects.

• Day 2: Portfolio Website (6 hours): Write a few blogs and add them to the portfolio website you previously developed.

• Day 3: LinkedIn Profile (4 hours): Create a LinkedIn profile and put all the content from your resume on LinkedIn.

• Day 4: Interview Preparation (7 hours): Prepare for some common Google interview questions, practice 10 programming problems from white papers. Check previous interview questions on sites like Glassdoor and Careercup.

• Day 5: Networking (~ hours): Get out of the house, start attending meetups, job fairs, and meet other developers and recruiters.

• Day 6: Job Applications (~ hours): Search for “Python Job”, check LinkedIn Job and local job websites. Choose 3 job positions and send job applications. Customize your resume for each job. Identify 2 to 3 things you don’t know from each job requirement, and learn them in the next 3-4 days.

• Day 7: Learn from Rejection (~ hours): Each time you are rejected, find two things you should have known to get that job, and spend 4-5 days mastering them. This way, each rejection will make you a better developer.

Prepare for JobsThe reality is, you can never be 100% prepared for a job. What you need to do is master one or two things and be familiar with others, ultimately passing the interview. Once you start working, you will learn a lot on the job.Enjoy the Learning Process

Learning is a process, and as long as you learn, there will be challenges.Hard work pays off; the more effort you put in, the better developer you will become.

If you can complete all tasks within 28 days, you are a genius. However, if you can complete 60-70% of the content, you already possess the right characteristics to become a programmer.Based on your classmates’ learning progress, arrange corresponding Python training camps. Spending eight hours a week learning Python with me can improve yourself. What I’m offering you is free!⬇️

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