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How to Learn Python in 2023

Learning Python in today's tech-driven world is like equipping yourself with a powerful weapon. This blog post will guide you from the basics of Python to its advanced concepts. Whether you're an absolute beginner or just want to polish your skills, we've got you covered. And the best part? We offer a Free Python Course, so you can start your programming journey without any monetary constraints!
Learning python

1) What is Python?

Python, designed by Guido van Rossum in the late 1980s, is a popular programming language, renowned for its simplicity and readability. It’s an open-source, object-oriented programming language, enabling coders to create both simple scripts and complex projects. Its versatile language has found applications in diverse areas such as web development, machine learning, artificial intelligence, game programming, scientific computing, and data analysis.

2) Why Should You Start Learning Python?

There are a multitude of reasons why Python is a great programming language for beginners. Its syntax is simple and highly readable, making it easier to learn and understand. Python’s standard library provides a wide variety of modules, facilitating everything from handling regular expressions to creating pie charts.

The wide range of Python’s application also means that learning it can open doors to various fields, not just software development. Machine learning, AI, game development, and data science are just a few areas where Python is a source language.

For a comprehensive list of reasons, check out our detailed guide, highlighting all the reasons you should learn Python.

3) What Are Job Opportunities When You Master Python?

Python, with its versatility and user-friendly syntax, paves the way for a plethora of exciting career opportunities. By mastering Python, you open the door to various job roles such as a Data Scientist, Machine Learning Engineer, Python Developer, Game Developer, and Data Analyst. Let’s dive into each of these career paths in detail.

1. Data Scientist

Data Scientists are professionals who translate complex data into tangible insights to aid decision-making. Using Python, data scientists can analyze and interpret intricate datasets, manipulate data using libraries such as Pandas, and visualize data with tools like Matplotlib and Seaborn.

Python’s ability to handle large datasets and perform complex mathematical computations makes it a popular choice in this field. As a Data Scientist, you’ll be expected to have hands-on experience in dealing with real-world data, creating models, and predicting outcomes based on data trends.

2. Machine Learning Engineer

Machine Learning Engineers build and implement machine learning models that power today’s AI-driven world. These professionals leverage Python’s extensive libraries like Scikit-learn, TensorFlow, and Keras for building ML models.

Python, with its simplicity and wide range of machine learning libraries, makes the implementation of machine learning algorithms a less daunting task. As a Machine Learning Engineer, your hands will get dirty with lines of code implementing algorithms, training models, and tuning them for optimized performance.

3. Python Developer

Python Developers are versatile tech professionals that build applications, resolve Python-related issues, and optimize data algorithms. This role requires proficiency in Python syntax, control flow, and control structures.

Python developers often use frameworks like Django or Flask to build web applications. In addition to the core Python language, they often work with databases, deploying apps, and version control systems. Code editors and virtual environments are part of their everyday toolkit. With Python’s increasing popularity, Python Developers are in high demand across various sectors.

4. Game Developer

Game Developers use Python for testing, automation, and even building games. With libraries like Pygame, they can start developing games using Python. The simplicity of Python also makes it an ideal language for scripting and automating tasks in the game development process.

Game Developers not only create entertaining games but also work on debugging, optimizing, and maintaining the codebase. If you enjoy solving problems and have a creative streak, game development with Python might be your calling.

5. Data Analyst

Data Analysts are professionals who use Python to collect, analyze, and interpret raw data to help businesses make informed decisions. They often work with Python’s data-centric libraries, such as Pandas, Numpy, and Matplotlib, to manipulate data and draw meaningful insights.

Python’s excellent data handling capabilities and its ability to easily write scripts make it a perfect fit for this role. As a Data Analyst, you’ll be expected to clean, analyze, and visualize data, while also generating detailed reports.

Each of these career paths leverages Python in unique ways, demonstrating Python’s versatility as a programming language. Whether you’re an aspiring Data Scientist, Machine Learning Engineer, Python Developer, Game Developer, or Data Analyst, mastering Python can pave the way for your dream career.

4) How Long Does it Take to Learn Python?

Deciphering how long it will take you to master Python is not a one-size-fits-all answer—it depends on a multitude of factors including your dedication, prior programming experience, understanding of fundamental programming concepts, and the depth of knowledge you aim to acquire. However, let’s break down some common timelines to give you a clearer perspective.

1. Python in 6 months

With steady and consistent learning—say, dedicating an hour or two daily—you can expect to grasp the Python basics in a few weeks. You’ll cover Python’s intuitive syntax, control statements, and fundamental programming concepts. Post this, you’ll progress towards more advanced topics like object-oriented programming, database access, and handling libraries.

This 6-month timeline allows you ample time to work on hands-on projects, use various learning resources like online tutorials and books, and even participate in online communities. Here, you’re not just learning to write lines of code, but also learning to build basic applications, solve real-world problems, and most importantly, thinking like a professional programmer.

2. Python in 3 months

In a more intensive 3-month learning scenario, your focus would be on grasping the core features of Python, understanding programming concepts, and getting your hands dirty with coding exercises. Online learning platforms and video lectures can be beneficial for a swift learning journey.

By the end of this period, you should be comfortable with the basic syntax, control flow statements, and have a beginner-level understanding of Python’s extensive libraries. You’ll also be in a position to start working on small projects, which can solidify your basic programming skills and introduce you to Python’s real-world applications.

3. Python in 1 week

While a week is a short span to learn any programming language, with Python’s simple syntax and readability, you can get a rudimentary understanding. You might be able to write simple pieces of code and understand the basic constructs of the language. However, note that this will only scratch the surface, and a comprehensive understanding of Python requires diving into more advanced features and concepts.

Whether you aim to understand the basic syntax or aspire to become a proficient Python developer, the key is consistent practice and application. Python’s versatile nature offers an abundance of online tutorials, open-source projects, and online forums, providing beginners a wide variety of learning paths. No matter your learning style or experience level, the journey to mastering Python is filled with practical exercises, interactive coding challenges, and engaging video tutorials, which makes learning an enriching experience.

The ultimate timeline to learning Python, therefore, is a function of your personal goals, commitment, and the resources you utilize.

5) How to Start Learning Python?

The journey to mastering Python starts with the right learning resources. At start.lewagon.com, we offer two comprehensive, free online courses that cater to your unique learning path, whether you’re a beginner programmer or an experienced developer seeking to add Python to your coding skills.

1. Intro to Python

Our ‘Introduction to Python’ course is tailored for those who are new to programming or have previous programming experience in another language and want to explore Python. This beginner-friendly course, with its 25 hours of in-demand video lectures, equips you with a fundamental understanding of Python 3, one of the most powerful and versatile programming languages today.

Throughout this course, you’ll learn basic programming skills, Python’s intuitive syntax, and control structures. You’ll work with code samples, write code from scratch, and familiarize yourself with Python’s development environment. This hands-on approach ensures that by the end of the course, you’re not just acquainted with Python’s basic concepts, but can also apply them in real-world contexts.

2. Scrape the Web with Python

Our Web scraping Python course delves into the fascinating domain of web scraping. This course is an excellent option for those who wish to extract, process, and analyze data from the web, a skillset widely in demand in today’s data-driven world.

This course will walk you through how to write Python scripts for web scraping, how to handle complex data extraction and processing, and how to leverage Python’s extensive libraries for your web scraping tasks. The course emphasizes a hands-on project approach, allowing you to build projects from the ground up and consolidate your learning through practical experience.

Moreover, our free online courses offer the flexibility to learn at your own pace and on your schedule, making them a preferred choice for many learners. So why wait? Dive into the world of Python programming with us.

web scraping with python

B) Tutorials

Numerous online tutorials and resources can guide your learning path. Websites like Codecademy, HackerRank, and LeetCode provide interactive Python exercises that range from basic to advanced levels.

6) How is Python Compared to Other Programming Languages?


Programming Language Usability Difficulty Level
Python High (Easy to read, versatile, efficient code) Low (Simple syntax and readability, supports multiple programming styles)
C++ Medium (Complex syntax, efficient code) High (Complex syntax, steep learning curve)
Java Medium (Verbose syntax, object-oriented) Medium (Strict syntax, but has many resources available for learning)
SQL High (Used for managing and organizing data in databases, widely used in industries) Low (Relatively simple syntax, more focused on data manipulation than programming)
JavaScript High (Essential for web development, both front-end and back-end) Medium (Flexible but nuanced syntax, asynchronous nature can be tricky to understand initially)

Python’s simple syntax and readability make it easier to learn compared to languages like C++ or Java. Its versatile nature allows for procedural, object-oriented, as well as functional programming. Additionally, Python’s code tends to be shorter and more efficient, making it an excellent option for beginners and experienced programmers alike.


Python is a versatile and beginner-friendly language with a wide range of applications, from web development to scientific computing. The job prospects are equally varied and exciting, and the time investment is manageable for even the busiest of individuals.

By leveraging our free online courses and the wealth of online resources, beginners can start their Python journey comfortably. Compared to other languages, Python’s simple syntax and efficient coding make it an appealing choice for both novice and experienced coders. So why wait? Start your Python learning journey today, and unlock a world of opportunities.

Our users have also consulted:
Iris, from Communication to Fullstack development

Iris comes from Avenches, a city in the Canton de Vaud She studied and started

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