Is Python Hard To Learn? (9 Things You Can Expect)

Python is relatively easy to understand, giving you an advantage early on when learning it. Also, coming from pure web development makes it very accessible and relatable.

However, in Python programming, we should be more concerned about the syntax and how things work in this language.

So here are nine things you can expect to learn in Python and guidance on making it more manageable. 

Is Python Hard To Learn? 

Python is a robust and adaptable programming language that’s easy to learn. It’s also one of the most popular languages for developers. Because Python is so popular, you’ll find many resources available online. We’ve found that the average person will spend five to ten weeks learning Python and using it in real-world applications!

Let’s begin!

1. Python is a Versatile Programming Language

Python is a programming language utilized to build software and websites, optimize cases, and analyze data.

Its competence and flexibility have risen to the head of the line of programming languages today.

You can use Python for several activities because it is a universal language, including 

  • data collection, 
  • software and internet development, 
  • scripting, and 
  • multiple objective completion.

In python language, you can also build programs for various purposes, such as earning a living, tackling a challenging data analysis task, having fun, or assisting someone else with a problem.

A fun fact, Monty Python, is a connection to the label Python. While progressing with Python, Guido van Rossum adapted it from Monty Python’s scripts. As a result, he contemplated the name Python to be brief and a little uncertain!

2. Easiest Programming Language

Python is a programming language that emphasizes readability, making it simpler to comprehend and use. It’s known to be highly beginner-friendly.

Because its syntax resembles the English language, it is simple for new programmers to enter the programming field.

Additionally, Python has been used by several professionals, including analysts and accounting specialists, for diverse mundane tasks, including managing funds.

Even though it might be challenging to master at first glance, many programmers believe that Python is the most straightforward language to learn!

3. Web and Software Development

As you can see, Python is used for server-side web development, software development, mathematics, and system scripting.

It is also popular for Rapid Application Development and as a scripting or glue language to tie existing components together because of its high-level, built-in data structures, dynamic typing, and dynamic binding.

Moreover, the Python Package Index lists thousands of third-party modules in the programming language that can help discover and set up applications created and distributed by the Python community.

For example, Django is a prominent standard for web development, and NumPy and Pandas are well-known standards for data research.

Plenty of large businesses use Python. Mozilla, Google, Microsoft, Netflix, Uber, Reddit, and Dropbox are some of the best-known and most outspoken Python users!

4. Python has a Short Learning Curve

Learning Python is so simple that you can grasp it in three days. Of course, you won’t become an expert in it, but you will feel at ease.

After understanding the fundamentals, you only need to learn how to use the libraries in accordance with your projects.

When starting, devote 4-5 hours to learning and 2-3 hours to practice with a maximum break of one day per week.

You can learn Python using various free internet resources and offline and online Python boot camps.

Short video courses, tests, and coding practice exercises are standard components of online Python courses such as the Code Academy.

You could learn more effectively by practicing microlearning or learning in little doses, as it increases engagement and retention!

5. Python Fundamentals

Python Fundamentals

As a beginner, the course would focus on coding fundamentals, such as 

  • Variables and Conditions, 
  • Loops, 
  • Lists, 
  • Functions, 
  • 30+ Python Programming Issues, and 
  • Python Projects for 2 Basic Algorithms.

Additionally, there will be chapters on,

  • Data Structures, 
  • OOP, 
  • Hosting Services, 
  • IDE, 
  • API, 
  • GitHub, 
  • Numpy, 
  • Django, 
  • Pandas, and 
  • Matplotlib.

Although Python is an object-oriented language with thousands of packages you can use in your work, Bash and other shells are solid functional languages.

Generally, Python contrasts with other programming languages like Java, JavaScript, Perl, and Tcl, as well as C++, Common Lisp, and Scheme.

6. Large Community and First Choice of Programmers

As previously covered, Python is considered one of the easiest programming languages to adapt because of its straightforward syntax and lack of complexity, emphasizing natural language.

Additionally, Python has a mature and helpful community. Anyone requiring urgent support with an issue can get help from programmers at all proficiency levels, from novices to experts.

Any Python developer will enthusiastically claim that Python is more effective, dependable, and quick than most other contemporary languages.

Furthermore, Python is as simple as ABC languages to learn and use, making it possible to write and knock off scripts quickly compared to other programming languages.

Above all, because of Python’s extraordinary demand in the development business, it is the language of choice for many programmers and students!

7. Issues and Vulnerability

Python programmers noted several problems with the language’s design. 

The language includes problems that only manifest during runtime since it is dynamically typed, which necessitates extra testing.

Second, C or C++ is faster than Python. But, of course, Python is a high-level language and is not as closely related to hardware as C or C++.

Thirdly, it is not the best language for enterprise apps because seamless interaction of complex legacy data is essential for such programs.

Lastly, Python is a simple programming language; however, the database access layer is not as advanced as other technologies.

8. Basic Python Curriculum and SQL

Python curriculum includes,

  • data types (int, float, strings), 
  • compound data structures (lists, tuples, and dictionaries), 
  • conditionals, 
  • loops, 
  • object-oriented programming, and 
  • external libraries 

You can learn enough to create your first simple program in a few minutes. However, learning how to use Python’s extensive library system can take months.

You might also think about starting with SQL training. SQL is a tool necessary for getting data out of relational databases. Some people might find SQL to be simpler to learn than Python.

It goes without saying that you cannot learn Python in a single day, yet Python is simpler to read and use!

9. Project That Inspires You

It is entirely feasible to learn Python on your own. You may learn to code using various materials, including interactive games, books, and YouTube tutorials.

Start your study by learning how to install Python and selecting a text editor or integrated development environment to write your code.

Then pick a project that inspires you, and start learning the libraries that will help you finish it. Through testing, code sharing, and debugging, keep improving your skills.

Finally, getting involved in a Python development community will motivate you to master the language. 

You can also see our posts on Solidity, Data Analytics, Computer Science, Information Technology, and C Programming to learn more. 


Allow yourself the time to study Python at the rate that suits you the best, and be kind to yourself. Instead of rushing through everything without laying a solid basis in the fundamentals, it is preferable to take a bit more time.

Ultimately, excellent training in the fundamentals of Python will help you

  • automate your life and work, 
  • succeed in your current position, or 
  • even open up the possibility of starting a new one.