It took me some time to finally build the Python environment, and it took me some time to choose a Python development tool
More time. I am just a beginner in Python, and I choose Eclipse+ to develop Python tools
The way the PyDev plugin is developed.
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Books to choose
There are a variety of books available for every programming language, and it’s important to choose a book that fits your reading style,
I think for a novice to learn a programming language, suitable for their own books, do not need to choose industry recognition
For the best. In line with their own reading habits, to be able to raise their own interest for beginners may be more important!
Based on my reading habits and learning habits, I chose the book “Python Core Programming 2nd Edition”. The writer is reading a book
In the process of reading, I like to check the resources on the Internet, which can give me a deeper understanding of knowledge and
Summary.
annotation
One of my favorite ways to learn programming is to read up on a new language before learning it
How it is annotated, and what the simple annotation specification is. I think we need to use comments for beginners
We remember, and it’s a good habit to annotate.
Here I also make a brief summary of the way Python is annotated and its annotation specification.
1. Single-line comments
Unlike Java, single-line comments in Python start with # good followed by several Spaces, followed by comment content. Such as:
[python]
Print statements
print(“hello”)
Print statements
print(“hello”)
2. Inline comments
Inline comments are a very common technique in Python. In practice, you need to be careful about the distance between comments and statements
Questions, usually at least two Spaces.
[python]
Test =”hello” # declare and initialize the variable
Test =”hello” # declare and initialize the variable
3. Multi-line comments
Python itself does not have multi-line comments. We can only use # single-line comments, but we can
”’ ”’ contains comment blocks to achieve the effect of multi-line comments. The “” is used to document functions.
4. Chinese notes
Note that Python generally ignores the # line and skips the # line. Comments with special meaning are an exception
These special meaning comments perform some special functions, such as
[python]
Coding =GBK # Supports Chinese annotations
Coding =GBK # Supports Chinese annotations
Starting Python
This is a summary of the highlights of Chapter 1 of Python Core Programming.
1. Memory management
Pyhton does not need Coder for memory management (reclamation), similar to Java. For memory management, yes
Responsible for the Python interpreter. It was originally designed to free up the Coder from the memory and focus on the direct
Standard, reduce program errors.
Here’s a little digression, personal only: there are some people who are interested in Python’s internalizing management and Java’s garbage collection mechanism
There is always the idea that garbage collection affects program performance. I do not elaborate too much on this.
It is inherently irrational to influence design by “performance”, and performance and design are often only balanced
2. Interpretability and (byte) compilability
Python is an interpreted language, and compilation is not part of actual development. Interpreted language run one
Slower than compiled. Python source files are compiled into bytecode through interpreter loading, bytecode compilation (intermediate languages,
Machine-like language).
3. Run Python
Three different ways to run it
Start the interpreter interactively
An interactive startup interpreter is one that calls the interpreter for every line of code written
Execute a statement. Good for quick practice. Win+ R-> cmd-> python
# script mode
Needless to say, similar to shell scripts, the executing code is in the source file,
The interpreter executes once. Run the.py file directly.
4. Summary at the end of chapter
1. Standard Template library
Python provides many standard template libraries, as well as some apis provided by the JDK
Again, with standard template libraries, we can accomplish our goals faster and better.
Just like building blocks, we don’t have to make blocks ourselves, we care
It’s just building blocks into models that we care about.
Practice: Learning string.py (read briefly, save for later analysis)
2. Interactive exercises
For example: print(“HELLO”)
3. Script exercises
print(“hello”);
Input ()# Prevent program flash (python3)