In this article, we'll cover how to learn Python effectively. You should know that "data science" is the science of solving, exploring problems, and extracting valuable information from data.
To do this effectively, you need to organize the dataset, train the machine learning model, visualize the results, and more.
This is the perfect time to learn Python.
In fact, Forbes ranks it in the top 10 technical skills in terms of job demand growth. Today let's discuss why this is...
Why learn Python?
Python is one of the most widely used languages in the world, and it has an enthusiastic user community:
Python popularity, TIOBE index
It has a more loyal following among the data science profession.
Some people judge the quality of a programming language by a simple program of "Hello, world!" By this standard, Python can do well:
print( "hello, world!" )
For comparison, here is the same output in Java:
public class Main {public static void main(String[] args) {System.out.println("hello, world!");}}
Well, seriously, simplicity is one of Python's greatest strengths. Due to its precise and efficient syntax, Python can accomplish the same task with less code than other languages. This makes implementing solutions refreshingly fast.
Plus, Python's vibrant data science community means you'll be able to find tons of tutorials, code snippets, and fixes for common bugs. Stackoverflow will be one of your best friends.
Finally, Python has an all-star lineup of libraries (also known as packages) for data analysis and machine learning , which greatly reduces the time it takes to produce results. More on these later.
How to learn Python effectively?
Before we discuss what you need to learn, let's discuss what you don't need.
You don't need a CS degree.
Most data scientists will never deal with topics like memory leaks, cryptography, or "Big O" notation. As long as you can write clean, logical code in a scripting language like Python or R, that's fine.
You don't need a full Python course. Python and data science are not synonymous.
You don't need to memorize all the syntax.
Instead, focus on grasping intuitions, such as when a function is appropriate or how a conditional statement works. After googling, reading documentation, and good practice, you will gradually memorize the syntax.
We recommend a top-down approach.
We advocate a top-down approach, with the goal of first getting results and then consolidating concepts over time. In fact, we prefer to forgo "classroom" learning in favor of real-world practice.
This method allows you to quickly master while having more fun.
Install Python via Anaconda
There are many ways to install Python on your computer, but we recommend using the Anaconda bundle, which contains the libraries needed for data science.
1. Core programming concepts
Effective programming is not about memorizing syntax, but about mastering a new way of thinking.
So, take the time to build a solid foundation for core programming concepts. These will help you translate the solutions in your head into instructions for your computer.
If you're a programming beginner....we recommend the excellent 'Automate the Boring Stuff with Python' book, which has been released online for free under a Creative Commons license.
The book promises "practical programming for beginners" and keeps every lesson grounded.
If you need this book, please click the link below:
https://docs.qq.com/doc/DU09haUR2TnFOU0J0
You should be able to answer the following questions:
• What is the difference between integers, floating point numbers and strings?
• How to use Python as a calculator?
• What is a for loop? When do I write one?
• What is the basic structure of a function?
• How to use conditional statements (if...else...) to add logic?
• How do import statements work?
If you want to practice more core programming concepts, check out the resources below.
• Code Fights is a platform with many short coding challenges that can be completed in under 5 minutes (although it's so much fun that you might find yourself playing for hours at a time). You'll earn points and unlock new levels along the way, which is also a great way to track your progress.
• The Python Challenge is one of the coolest puzzles on the web, so don't be intimidated by its 1990's graphics. You can complete all 33 levels with the help of a Python script. One user called it "an addictive way to learn the ins and outs of Python..." I agree!
• PracticePython.org is a collection of short practice problems in Python. It is updated with a new question almost every week. What's really nice is that the author includes multiple user-submitted solutions for each problem, so you can see alternative ways to solve them.
• How to Think Like a Computer Scientist is a great interactive online book that takes a whirlwind tour through key programming concepts (using Python). If you are completely new to programming, this might be a good choice. It's like a condensed "CS 101" course.
2. Learn Python from comics
You may be. . . . . .
Elementary school students who want to learn programming, middle school students participating in computer competitions, college students majoring in computer-related fields, and those in the workplace who are engaged in software development are all very suitable!
1. A "hands-on" session is arranged in each chapter, and you can find application examples in the session
2. At the end of each chapter, there is a "practice and practice" session, where you can find synchronous practice questions
The book totals 16 chapters, as described below.
Chapter 1 introduces the history and characteristics of Python, and builds the development environment.
Chapters 2 to 5 introduce the basics of Python, including data types, expressions, and flow control.
Chapters 6 to 7 introduce container-type data and string data commonly used in Python.
Chapters 8 to 11 introduce the advanced content of Python, including functions, classes and objects, exception handling, and commonly used built-in modules.
Chapters 12 to 16 introduce the use of Python utility libraries, including file reading and writing, graphical user interfaces, network communications, database access, and multithreading.
If you need this book, please click the link below:
https://docs.qq.com/doc/DU09haUR2TnFOU0J0
Let's start! Start learning! !
If you have better suggestions and learning methods, you can leave a message in the comment area to discuss~