How to Gradually Master Python? (Python Core in Action 1)

Unlock the Secrets to Becoming a Python Expert with Step-by-Step Strategies and Practical Insights.

Many programmers complain about too many coding languages. They feel overwhelmed.

For example, some Java experts struggle when asked to use Python.

At Meta, the main language is Hack (an improved PHP). But 95 out of 100 new engineers never used Hack or PHP before.

Yet, they learn quickly. In 1-2 weeks, they code easily.

How do they do it? They learn "Python from an engineering perspective."

Here's how to learn and what to focus on.

Understand Different Languages

If you read, practice, and think a lot while learning a language, you'll see similarities between languages.

Programming languages are instructions for computers. Their rules are often alike.

Learning a new language isn't too hard if you already know one. First, note the differences.

For example, compare Python's if-statements and loops to other languages.

Can you analyze the complexity of adding strings in Python? How does it compare to Java?

Besides noting differences, learn to use languages flexibly.

Ask yourself two questions:

1. Do you know the features of each language you've learned?

2. Can you choose the right language for different needs?

For instance, Python is great for data analysis, AI, and machine learning. TensorFlow uses Python.

But C++ is better for fast, low-level operations like matrix calculations.

Many companies use Python for servers and C++ for basic structures. This shows how to use different languages for different needs.

Remember, even small speed differences (milliseconds) matter for companies and user experience.

Learning Your First Language Step by Step

Don't worry if Python is your first programming language.

Python is easier than C++ or Java. Its syntax is simpler and more like English. This makes it good for beginners.

If Python is your first language, focus on it. Know what's important and learn step by step.

Step One: Practice the Basics

Every programming language covers a lot. No book can teach everything.

So, start practicing after learning the basics.

Don't wait until you've learned everything. You might forget what you learned earlier.

Computer science needs practice. The earlier and more you practice, the better.

What are the basics? For Python, you should understand:

• Variables

• Basic data types

• If-statements and loops

• How to use functions

Once you know these, start practicing more.

Try making a simple calculator. This is often a programmer's first project.

Can your program check if the input is correct and give the right answer?

You might face problems while doing this.

When you have questions, look on Stack Overflow. You can learn from other people's good code.

If you still can't solve a problem, ask in the comments. We can solve it together.

Step Two: Code Standards are Important

Learning to code should be fast and efficient.

But don't ignore coding standards for each language.

When you start coding, you don't need to write tests. But don't write hundreds of lines without any functions.

You can skip some comments, but don't put many lines of code on one line.

For example, look at this code:

v.A(param1, param2, param3).B(param4, param5).C(param6, param7).D()

This is not good. It should be split like this:

v.A(param1, param2, param3) \ # '\' means new line

 .B(param4, param5) \

 .C(param6, param7) \

 .D()

Also, name variables and functions with meaning.

Don't use names like v1, v2, v3 or func1, func2, func3. This makes your code hard to understand, even for you later.

Good programmers follow coding standards.

At Meta, other people check the code before it's submitted.

If code doesn't follow standards, even for one function or variable name, we ask for changes. Strict rules keep code quality high.

Step Three: Real Development Experience

To really master Python or any programming language, you need experience with big projects.

Real experience helps you see the bigger picture.

For example, we use search engines every day. But do you know how they work on the server side?

This involves object-oriented design. You need to create classes and functions. You must think about what users need, how complex the code is, how fast it runs, and how easy it is to read. After launch, you need to keep improving it.

I can't help you build a product for millions of users in this course. But I'll share my experience. We'll use a trading project to teach you advanced skills.

Today, I shared how to learn Python. These tips work for other languages too. Remember them.

In the coming lessons, I'll help you become a Python expert step by step.

Do you have any problems or tips about learning Python or other languages? Please share in the comments!