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养花风水
12月23日
养花风水
File management is an essential functionality in a program. It encompasses reading from, writing to as well as changing files. In python programming, file management functionality is quite easy because of the functions that have been set aside for this purpose. These functions allow one to load files into the programs like other pieces of data that are not contained in the program. This paper will seek to demonstrate file management in python with particular attention to reading, writing and file appending. It will explain steps necessary to read the content of a file, to change its content and to add contents to a file without deleting its previous contents.

Concepts Introduction

File management functionality in python starts by opening a file, performing the required activity on the file such as appending or modifying the file and then shutting the file. The files are affixed off the program in most cases within the disk storage and in performing such functions python provides syntax for inputting them into the program using open command. Opening any existing file requires the same two basic attributes; its title and the appropriate mode. The mode controls the intended action for that particular file to be carried out. There are three basic modes of operation. The most common modes are: - `'r'` for reading The file is available for reading, should the file not exist an error is returned. - `'w'` for writing This mode is often used when a new document must be created. If a document with the same name exists, it will be deleted and replaced by this one. - `'a'` for appending This mode is used when existing documents must be updated rather than replaced. It simply creates a new document if none are found with the same name. Existing documents remain intact and the new information is added at the end of such documents.

Reading from a File

When the file's content is required, it can be simply opened in read mode (`'r'`), numerous other methods are available in python as well. All of these methods are file handling solutions. The `read()` function extracts data from the file and returns it as one single large chunk of text. There's more: if you only want to read 'n' characters from that file, you would just call `read(n)` where 'n' would be the number of characters to be read. In order to read a file, line by line, `readline()` would be helpful, this method reads an individual line of text inside the file. Another method is `readlines()`, which reads all lines in a file and returns them as an array of strings in which each element of the array represents a line inside the file. If you don't want to use a file anymore, then you should properly close it by calling the `close()` method on the file object. This makes sure that all the resources are freed and the file is safely closed.

Writing to a File

In python, files can be written to by opening the file in write mode ('w'). This means that all previous content of the file can either be erased or if the file doesn't exist, then a new file is created. The `write()` method allows you to store a variable string in a file. In order to save in, say, a notepad, you can invoke the `write()` function many times or employ the `writelines()` method which is capable of writing every line of a list in one go. It is critical to understand that when you open a file in write mode, the content that exists therein is completely removed. If, however, you only wish to add new data and keep the prior data intact, you have to select the file in append mode. [图片]

Adding More Content to The File

You can add more information to a certain file if you select the appropriate file in append mode. This mode is also much like write mode, except rather than erasing the previous content of the file, it saves its content in an unused space to the furthest end of the document. When attaching new information within an existing document, the content currently inside the document cannot be removed or over-written, and so it must be kept in mind. Attachments take place without any influence on the current content of the file. In order to add more content to any file, you may use the 'write() function, just as you would use for any other writing task but note this time that the content is saved inside the file in append mode so all new content will always be saved at the end of the file.

File Handling with the help of Context Managers

You can control your files by opening and closing them via their respective methods `open()` and `close()`, however it is best practice to utilize a context manager. Whenever delving into file operations in Python, a context manager is an instance that handles the functionality for you by opening and closing files as required without the need for you to do it manually. The common practice of file handling using context managers is through the use of a 'with' statement. Once a file is opened with 'with', Python takes care of the closing even if the operation encounters an error. This also lowers the chances of a user ending up with an unclosed file and toppers the needed management of the resources. Here's a basic example of how to read from a file using the `with` statement:

File Reading with Context Manager Example

with open('example.txt', 'r') as file:
    content = file.read()
    print(content)
In this case, the file will still be closed at the end, no matter if an error occurred before that time or not. The only thing with which the file would close prior to, if all the code within the statement had executed and thus the resources could be required to be freed.

File Read related Errors

When dealing with files, one should always be prepared to meet the errors and problems that the operations can encounter. Such as, an already missing file which is required for one to open, or a missing file permission. Python has exception handling for this purpose. And there are `try` and `except` blocks for that too. Here's an example:

File Error Handling Example

try:
    with open('example.txt', 'r') as file:
        content = file.read()
        print(content)
except FileNotFoundError:
    print("The file does not exist.")
So even if the file does not exist the program does not stop and the user is simply told about the problem.

Conclusion

You have an understanding of how to open files in different modes as well as functions like `read()`, `write()`, `append()`, so working with files in Python should not be a problem. The use of context managers, as well as proper error handling help make your code cleaner and more dedicated to the task.
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养花风水
12月23日
养花风水
An extremely important term in programming languages is collections. In Python, collections are regarded as fundamental structures that allow programmers to bundle multiple items together. These multiple items can also be thought of as values. These collections—lists,tuples; dictionaries are the basic methods of structuring and processing data in python. Each collection type comes with different features and fulfills different roles, giving you the opportunity of selecting the most appropriate one for your needs. This article explains what collections in Python are, what the difference between them is, how they can be used, what their characteristics are (as well as their applications) with the help of examples, focusing on lists, dictionaries, and tuples.

What Are Collections in Python?

A collection is defined as an object or structure that contains a set of other objects. In programming, a collection is a container that contains multiple units. In Python, collections can be described as powerful instruments in programming that permit the user to store data in one variable, thus enabling the user to handle several data values at once. The role of collections in programming is crucial as it enables programmers to organize the data systematically for easy retrieval, modification, such as sorting, adding, deleting items in the collection, or changing the selected item. Among the most used types of collections in Python include collections of lists, tuples, and dictionaries. Every collection has its own characteristics, features, benefits, and disadvantages depending on the area which you are using it in.

Lists: A Collection That Is Dynamic and Changeable

A list is one of the most frequently used types of collection in Python. It is a sequence which is a representation of a collection of items which is changeable and ordered. Being a sequence, Lists are flexible because elements in them can be added, removed, or changed. Possible elements of a list are numbers, strings, and other lists. Lists are created by writing the items to be contained in it inside square brackets, `[]` separated by commas. Lists are indexed i.e., every item in a list is positioned (or indexed) such that the first item has an index of 0. You can access any item in a list by specifying the respective index of that item. The list is carefully built which has one of the most fundamental attributes, which is, it's mutable. This means that elements of the list can be changed even though the list has already been built. You can put items in the list that were not there before, remove items that are in the list, or update items that are already in the list. Here's an example of a list:

List Manipulation Example

fruits = ['apple', 'banana', 'cherry']
fruits.append('orange')   Adds 'orange' to the end of the list
fruits[1] = 'blueberry'   Changes 'banana' to 'blueberry'
In this example, the `fruits` list was first said to contain 3 elements, however, it was changed through the addition of an item at the end and the modification of one of the factions `elements` lists. Also, lists support slicing, i.e., you can select a subsection of elements contained within the list by using a start and end index point. For example ':' means all columns from index one through index three excluding index three, meaning that the selection will be made from the first element up to the second. This returns a sub list with all elements from index one through , but not including index three.

Tuples — Non-Changeable and Sequenced Objects

Another collection type in Python is tuples, this is very similar to a list except that there's one major difference – it is tuples which are extremely economic in structure. Once a tuple is created no further edits can be made: elements can neither be changed nor be added nor anything be removed. When a program is run, it can therefore make use of a collection of data without worrying of the data changing at any time during the program. [图片]For creating a tuple you would simply require an opening bracket as opposed to a square bracket. They can still incorporate the same functionality as a list in that they are able to hold numerous items which can be of various types but when a tuple is created, that's it the contents cannot be changed. A simple example of a tuple is shown below.

Tuple Example

colors = ('red', 'green', 'blue')
From this example it is easy to see that tuples, like lists, are ordered, meaning that the items in a tuple have a defined position or place in the tuple and can be retrieved by their index. However, in contrast with lists, once an element is assigned in a tuple such an element cannot be changed. If one tries to do so, an error occurs. For example:

Tuple Immutability Example

colors[1] = 'yellow'  This will cause an error since the tuples have been assigned and are thus immutable
Although it has the disadvantage of being immutable, a construct of type tuple can be best suited for the work where it should be ensured that the data would not be changed by mistake. An illustrative example would be a fixed set of coordinates or an RGB representation of a color. Also due to the fact that constant elements are present in tuples, they are usually faster and use less memory than lists. These are often employed in Python when there is a need to safeguard the data and when speed is important.

Dictionaries: Storing value against a unique key!

A specific type of structured data storage with the name of dictionary stores elements in the form of key-value relationships. In contrast to lists and tuples where elements/indexes are leveraged to reach an element, retrieval of values from a custom key to rather a value is possible in a dictionary. This characteristic of dictionaries renders them a suitable candidate to use in any situation where data has to be pulled based on a unique identifier, quickly. A dictionary in python can be created by enclosing the key-value pairs in curly brackets, each pair being separated by a colon symbol. Key in regards to a particular value acts as a unique reference and each value represents data related to that specific key. For instance consider a case of a simple python dictionary which describes attributes of a person:

Dictionary Example

person = {'name': 'John', 'age': 30, 'city': 'New York'}
print(person['name'])   Output will be 'John'
It is important to notice here that a dictionary type in python is an unordered collection, therefore its members or items are not arranged in a specific order like lists or tuples which hold data in an orderly manner. However, from version 3.7 onwards if the order of insertion of the items is maintained, only then the order of the items in the dictionary will be the same as their order of addition. Providing fast lookup is one of the primary advantages of dictionaries. Knowing its key allows you to know its value almost instantly, which makes dictionaries suitable for use in areas requiring fast searching – for example a database or a data mapping. You can change dictionaries also by inserting new elements or modifying the old ones:

Dictionary Modification Example

person['age'] = 31  Sets the value of age to 31
person['job'] = 'Engineer'  Sets the job for the person as a key-value pair
In addition, you can specify items to be removed from the dictionary: sectors can be deleted from the dictionary using `del` or using the `pop()` method:

Dictionary Deletion Example

del person['city']   The key city and its value are removed
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养花风水
12月23日
养花风水
In Python, one can say that functions are part of the programming which enhances its power. Hence, programming tasks can be decomposed into subtasks and handled independently making scripts more generic and maintainable. It is important to learn how to define and call functions before writing an organized Python application. In this article, we will handle total functions, how they are formed and scope in general as a fundamental concept for the understanding of how each variable operates in different areas of your application.

What Is Function?

To put it simply, a function is a sequential set of codes combined to accomplish a specific purpose in Python. When a function is created it has an explicit map and hence when it is invoked multiple times the code is easier to read because it's executed once leaving the original code intact. As a result, pieces of code can be reused, allowing programmers to avoid repetitions all through the program. Furthermore, this makes management easier because each procedure handles distinct jobs. A function is defined as one that receives an input (also known as a parameter or argument) and performs a certain computation with it which may even produce an output called a return value. The great thing about functions is that the same function can be called repeatedly, with different sets of inputs, thus making the program more interesting.

Creating a Function

To create a function in Python is quite easy. Type the def keyword, which means you want to define a function, then write the desired name followed by a pair of brackets. Inside the brackets, you can specify any parameters that the function will accept. The indentation in a program in Python is critical, for that is where the body of the function is indented below the main delta. This is how a function in python is constructed as a rule:

Function Structure

def function_name(parameter1, parameter2, …):
 Code block that performs an operation
 On the parameters
return result
}
In this case structure, function_name means the name of the function created and parameter1, parameter2 and others are the parameters passed to the function. The return command is not necessary but when it is used, in this case, specifies what value is sent back to the segment of the program that invoked that function.

Calling a Function

Defining a configuration Let's say you configured a spark job to always go to the data repository, and you created the aggregate_job(spark_config: lage_huge). Back to the calling. The action performed against a function is described as being a call to that function. Calling a function includes mentioning its name, along with providing its parameters, if there are any. If a function does not accept any arguments, it is acceptable to mention it without parentheses. Here is an example of a function assuming parameters a and b and adding a to b:

Addition Function Example

def add_numbers(a, b):
    return a + b  This is called the function.

 Invoking the function with an argument
result= add_numbers(5, 3)
print(f'the result is: {result}')  The output is logically expected to be equal to 8
In this code block `add_numbers` is the name of the function which adds two numbers. `a` and `b` are the two numbers that are to be added together. And when the function gets called, the sum of `a and b' are set to a variable `result` and are printed. [图片]

The Scope of A Function

Functions are intricately linked with the idea of scope. Scope of a particular variable is defined as the area of the program within which that particular variable is available for use. In python, scope of a variable controls which part of the program is going to use that variable and in which part of the program it will be changed. There are basically two classes of scope in Python: 1. Global Scope This is the set of variables that have been defined outside of any function and in other words, they can be utilized in any part of the program. 2. Local Scope This is a scope that comprises variables which have been defined within a function and can only be utilized within that function as they cannot be accessed from outside of that function.

Global Variables

A global variable is simply defined as a variable that has been defined outside any function. Such variables can be referenced and changed by any program segment including functions. For instance, if a variable is defined within a function, it is local to that function. It is not possible to reference such a variable from outside the function unless a value of that local variable was returned. For example:

Global Variable Example

x = 10   Variable which is Global

def print_global():
    print(x)   Global variable is being Accessed Inside A Function

print_global()  Result will be 10
In this scenario, " x " which is defined outside the function print_global( ) is a global variable. It can be used by the function print_global( ) and also by any other part of the program.

Local Variables

A local variable is a variable that has been defined within a function and can be used only in that function. It remains unreachable from other parts of the program outside the function. For instance:

Local Variable Example

def add_two_numbers(a: int, b: int) -> int:
    sum_result: int = a + b  
    return sum_result
In this case, sum_result is defined within the add_numbers function which is not accessible outside as it was not defined in the global context Once you print the result, there would be an error. Examples of modifiers from global variables being accessed within functions. If you need to bring about a change in a variable that is accessible in the global space then this can only be done using the global syntax. Without this modifier in python programming all variables inside the block are locally accessible only even though there is one having a similar name. This is how the global variable can get changed in the function of the below example :

Global Variable Modification Example

x = 10
def global_x_addition():
    global x
    x = 20
global_x_addition()
print(x)
Here the result of the print function is set to be 20. This change was able to happen due to setting a modifier to global in this example . Python would still continue to treat it as a local variable if there was no global present.

Significance of Scope

The reason why it is important to grasp the concept of scope is so that you are able to control the visibility of the variables of the program. This reduces the likelihood of globals being modified undesirably and provides better control of data as it is passed among components of the program. For example, in the case of functions where the use of local variables suffices, such practices can be helpful in averting the unplanned alteration of global variables making the behavior of a program more deterministic and easier to troubleshoot and test. Furthermore, grasping the concept of scope can help you improve the performance of the code you write. For instance, when a variable is required only within a particular function, it is possible to declare it as a local variable which decreases the probability of name collision and improves the efficiency of the program by decreasing the life span and the amount of memory allocated to the variable.
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养花风水
12月22日
养花风水
Every single program consists of control structures that allow the user to specify the sequence in which different parts of that program are executed. They permit the usage of codes in different sections, based on certain requirements. Some of the simplest forms of control structures include if statements, else statements, and, most notably, loops. These three combine to allow programmers to make decisions and repeat instructions, which makes the code more efficient than it would have been had these features not existed. In this article, we will explore the role of these control structures in Python and how they can help you manage the flow of your programs.

Comprehending the "If" Statement

One of the most important program control structures in Python is the if statement. It is designed to make a decision in your code. An if statement works on the logic that there is a certain code block that will run only if a condition that is explicitly stated is met. This is advantageous as it means you can easily make decisions without hardcoding them into the program, but rather using the data or the context of the situation to make the decision. The regular style of "IF" statement is as follows:

Basic If Statement Syntax

if condition:
   //code block to be executed if that condition turns to be True
This means, the condition can be any statement such as a boolean. In an event that the condition yields a "true" value, the statement or code block in which the "if" statement is will run, but in the event that "False" is given, that portion of the code or code block is been avoided or skipped As an example, you can explain the age restriction to vote where you can say the age must be 18 or 21 and if so they are then allowed to cast their vote.

Voting Age Example

age = 20;
if age >= 18:
    print("You are eligible to vote")

The "Else" Statement

This value would alternate depending on whichever way you specified. Basically, while the if statement helps you execute some piece of code when a condition becomes true, then the else statement provides such an option which is an opposite to the code of conditions since it allows you to specify a section of code to be executed when the if statement IS n. On the other hand, the presence of the current case double negatives suggests that they are used when both boolean possibilities are required to be specified, that is, this statement is also true when the condition becomes false.

Number Check Example

number = -5
if number >= 0:
    print("the number is positive")
else:
    print("the number is negative")

Grade Evaluation Example

score = 85
if score >= 90:
    print("Grade: A")
elif score >= 80:
    print("Grade: B")
elif score >= 70:
    print("Grade: C")
else:
    print("Grade: F")
[图片]

The Role of Loops

The first two statements rely on conditions but the latter two do the opposite. In other words, the if and its partner the else allow us to branch depending on conditions while the loops are control structures that allow us to repeat a particular block of code. There are two loops that are generally used when programming in Python i.e. loops and while loops. The functions of the two kinds of loops differ but they are all meant to prevent redundancy in carrying out tasks.

The "For" Loop

A for loop in Python's programming can be defined as general iteration over sequences like a string or range. It is a common operation to execute a block of code for each element in case there is a certain condition that requires a sequence of execution. The following is its syntax:

For Loop Syntax

for item in sequence:
     Code block to execute for each item
This loop is generally used whenever you need to iterate exactly the definite number of times or iterate or work on a set which contains a certain number of elements. If a case arises such as needing to print all items in a list then the loop will be executed as thus:

For Loop Example

fruits = ["apple", "banana", "cherry"]
for fruit in fruits:
    print(fruit)

The "While" Loop

As opposed to the for loops however, the while loops don't necessarily have to have a precondition of running a set number of times or iterating over a certain element. A whole condition solely depends on the satisfaction of the `True` condition stipulated by the user.

While Loop Syntax

while expression:
    code which is carried out provided the expression evaluates to True
Let us say for example, you want to print numbers from 1 to 5, you can use a while loop as shown below:

While Loop Example

count = 1
while count <= 5:
    print(count)
    count += 1
This loop will as long as the variable `count` is less than or equal to 5. With every iteration of the loop, `count` is made to be one more than its previous value. When the condition turns `False`, the loop ends.
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养花风水
12月22日
养花风水
Among programming languages, one of the easiest to learn for beginners is Python due to its syntax and versatility. It has a wide array of applications including but not limited to, web development, automation, artificial intelligence, and data science. If you are new in learning Python language, then basics should be demonstrated as they are the building blocks. Most of the python programs are based on basic concepts of variables, data types and operators. In this article we'll look into these concepts more closely.

What Questions Do You Have Regarding Variables?

A variable is a reserved memory location to store values. In simpler terms, a variable is a name that is used to identify a particular memory location in a computer. Any programming language uses the concept of a variable to enable a program to remember and change information. In Python, creating a variable is done by just naming it and assigning a value to it with the assignment operator (`=`). It is also good practice with variable names that are descriptive enough which will help other users or you in the future to maintain the code. Let's say that you wanted to record the age of a person. Then you would have a variable such as:

Assign Variable

age = 25
In this case, The variable is called `age` which contains the number `25`. Being a dynamically typed language, python does not require one to declare the variable type first. It does so on its own by looking at whatever is assigned to the variable. Here, the language interprets that 'twenty-five' is an integer.

The Different Data Types in Python

Each and every variable in python has a particular data type. A data type is a classification of a variable according to the kind of data it can hold as well as the operations that can be performed on it. The data types in Python are numerous, with every single one of them having its own set of specific restrictions on what can be done in the language.

1. Integers (`int`)

As the term suggests, an integer is a whole number that can be either positive or negative but does not contain any decimals. One of the most common uses of integers is for counting, indexing, or general mathematics. Example:

Integer Variable

count = 10
In this case, `count` is declared to be an integer variable with a value of `10`.

2. Fear of the Bigger Picture Is Obliterated: Float

Float means the numbers which have a dot or decimal point. The calculations which have to do with currency or some scientific measurements and require accuracy use floating-point values. To illustrate:

Float Variable

height = 5.9
So in this case `height `is a float variable which captures `5.9`.

3. Specials Variable-types/pointer (str)

A string is done by combining characters. These characters can be enclosed inside single or double quotations. A string is a pointer type variable which is by default used for text-oriented data i.e. name, address, description, etc. To illustrate:

String Variable

name = "Alice"
In this instance `name` acts as a string variable and the output text is `Alice`.

4. Cash is a Boolean peddlerous

In some instances cash becomes a true or false binary. Therefore, a boolean becomes a data type that can only take on two values, either true or false. In our programs, booleans help run the conditions which determine which areas of the particular program will execute. To illustrate:

Boolean Variable

is_sunny = True
In this instance, `is_sunny` is a boolean variable where `True` is the value which has been assigned.

5. Lists

A list is an assortment of items of any data type. Lists have a defined order or sequence which allows each element the ability to be accessible by its position. Square brackets `[]` are used to create lists, placing each item in the list in an order that is separated by commas. Example:

List Variable

fruits = ["apple", "banana", "cherry"]
So in this example, a variable `fruits` represents the list of three string items.

6. Dictionaries (`dict`)

A dictionary consists of a disoriented collection of pairs referred to as key and value. Such that each key is distinct and to each key a value can be attached and retrieved with using the key. The structure described by this form uses the following symbols: {}. Example:

Dictionary Variable

person = {"name": "Alice", "age": 25}
Here in the example `person` is a dictionary consisting of two key derivatives and their values: `name`/`Alice` and `age`/`25`. [图片]

7. Tuples

A tuple can be simply put as a read only list, which means once it has been created, its values can never be changed. Tuples come in handy in situations where the data should necessarily remain unchanged. Example:

Tuple Variable

coordinates = (10, 20)
So here in the defined case of example `coordinates` a pair of numbers i.e. `10` and `20` forms a tuple.

Operators in Python

An operator is a procedure which operates on variables or values. It is concerned with handling data and carrying out various functions, including computations, comparison, and logic.

1. Arithmetic Operators

Mathematical operations are carried out using arithmetical operators - such as add, subtract and multiply, as well as divide. Below are the common arithmetic operators found in Python:

Arithmetic Operators

+   (Addition)
–   (Subtraction)
 (Multiplication)
/ (Division)
// (Floor Division)
%   (Modulus)
   (Exponentiation)
For Example,

Arithmetic Operators

a = 5
b = 3
print(a + b) # Output: 8

2. Comparison Operators

A comparison operator is applied to two values to determine whether they are equal, greater than or less than each other. When a comparison operator is used, a boolean value is returned. This value can only be of two types: True or False. The values returned depend on the outcome of said comparison. Comparison operators that are commonly used include but are not limited to:

Arithmetic Operators

== (Equal to)
!= (Not equal to)
> (Greater than)
< (Less than)
>= (Greater than or equal to)
<= (Less than or equal to)
For example

Comparison Operators

x = 10
y = 5
print(x > y) # Output: True

3. Logical Operators

Logical operators are used to combine two or more expressions and return to the user if the specified multiple conditions are satisfied or falsified so as to dictate the flow of a program; they provide a practical approach to evaluating the truthfulness of multi-conditional statements. The logical operators in Python includes but are not limited to: ``` and (Will return `True` only if both conditions are true) or (Will return `True` if at least one of the conditions is true) not (Will convert a `True` into `False` and vice-versa) ``` For example,

Logical Operators

print(x < 10 and y > 5)   # Output: True

4. Assignment Operators

To give variables values, assignment operators are used. Commonly it is written with the symbol ′=′ as a matter of fact Python supports compound assignment operators too. These are like, an initial enhancement does a mathematical calculation along with assignment, such as: - "+=" (Add) - "-=" (Subtract) - "=" (Multiply) - "/= (Divide) Example:

Assignment Operators

x=5
x +=3  # Creates the value of x at 8

5. Membership and Identity Operators

However when dealing with the sequences or the sets of items, there are also operators that help you check for membership or identity. Different kinds of them are, - "in" (It checks if the member is present in the given list or other sequences like string) - "is" (It checks whether 2 variables refer to the same value in the memory block). Example:

Membership Operator

fruits = [ "apple", "banana", "cherry"]
print( "banana" in fruits )  # Output: true
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12月22日
养花风水

Setting Up Python Environment

Install Python Interpreter

Python has become one of the most commonly used programming languages all over the world due to its user-friendliness, versatile use and universal approach. Whether you are interested in pursuing a career in web design, analyzing data or even in automation, installing Python on your PC is the very first requirement in your learning process. It should be understood that the purpose of this article is to teach you how to correctly install the Python environment on a computer in order to be able to effectively write and execute Python code. Setting up Python may look difficult at first sight since there seem to be so many things to consider but in reality it is not that complicated as long as you know the basics. This article is aimed at filling this gap by transforming vague steps into clearly actionable pieces of advice and what one needs to do to prepare their environment for coding.

How to use the Python

1. Python Interpreter The Python Interpreter, Python environment, is practically software which allows the reading of written codes and executables written in Python. The benefit of Python is that there is an interpreter available for installation on your device so that you can run your Python scripts after using the interpreter on your device. 2. Managing Packages Python has an excellent ecosystem based on its mixed use of libraries and other tools that boost its features. These libraries are generally fetched using a package manager. The most widely used package manager in the case of Python is pip, through which one can effortlessly install, upgrade or remove any suitable package. 3. Integrated Development Environment (IDE) An IDE is another handy tool that assists developers in writing, editing, and executing code. Yes, you can write Python using a basic text editor, but there are more Python IDEs such as Anaconda that allow a user to do more including syntax highlighting, code suggestions, debugs, and file management. Well known Python IDE's seem to be PyCharm, Visual Studio Code, and Jupyter Notebook now.

Instructions on Installing Python on Your Computer

1. Download and Install Python

The first thing you need to do to get started with python is to get a python interpreter on your environment, that is, configure your Python setup. This can be accomplished through some simple steps. 1. The first step is to go to the official Python website which is [www.python.org](https://www.python.org). 2. Right on the first page, you will notice the people at Python allowing you to download its unofficial stable version, ensuring it is the one for your Windows, Mac Operating System or Linux. 3. After that, open the installer that you just downloaded so that you can start installation. During Installation, do remember to look for a checkbox that states Add Python to PATH and check it. This will facilitate you in executing Python while being in command prompt. 4. Follow through the prompts given during the installation process and Python software will get installed on your computer. You can once again test whetherPython successfully installed itself by using a terminal, or Command Prompt if you are using Windows, and typing the command python --version. It should respond with the expected version of Python installed. [图片]

2. Getting a Text Editor or an Appropriate IDE

Even though IDLE, which is a simple editor, is bundled together with Python, it is advisable to get the IDE which is better when it comes to writing and managing Python code. There are many good IDEs and one of them does help many software developers code better, because of code completion, error highlighting and debugging tools. A few of the many popular IDEs for Python include: - PyCharm A powerful integrated development environment specifically tailored to the requirements of Python developers. With its advanced capabilities such as debugging tools, version control integration, and a terminal built in, PyCharm is astonishing. - Visual Studio Code (VS Code) As a free open-source editor that can handle multiple languages including python, VS Code is rather light weight. remarked for its wide use and a great number of extensions, VS Code easily becomes a good fit for python projects. - Jupyter Notebook utilized mainly in data science and in the field of machine learning, Jupyter Notebook makes it possible to write and execute python code in cells which is a very helpful tool when writing in pythons as you can use it to test blocks of code and to visualize outputs. The first step to using an IDE is to download the IDE from the official website and then follow the appropriate setup steps. You can then open the IDE that is suited for you and write your python code whenever you're ready.

3. Installing Python Packages Using Pip

Packages add more functionality to python. They are basically a group of modules and functions that are useful in your python project. If you have a pack you want to use, the easy way to do this is through pip which is the package manager for python. To install a package, launch your command line or terminal and write the following command:

Install Package

pip install 
For example, if you want to install a well-known info package like NumPy which is commonly utilized in data science, you would input:

Install NumPy

pip install numpy
Once the package is operational, you can include it in your importing statements within the Python programming script. For instance:

Import NumPy

import numpy as np

4. Virtual Environments Creation

In programming, a virtual environment is a package that relies on every file/subdirectory needed for a particular Python project. It is advisable to work with a virtual environment because it improves the organization of project requirements and helps eliminate interferences between different Python projects. Follow these steps to create a virtual environment: 1. Open the terminal or command line interface and go into the folder where your project is located. 2. Enter the following command to create a new virtual environment:

Create Virtual Environment

python -m venv venv
A new directory named venv will be created within your project folder containing this virtual environment. In the case when it is required to activate the virtual environment or switch to the virtual environment, the following command has to be typed. - On Windows

Activate Virtual Environment (Windows)

venvScriptsactivate
- On macOS or a Linux terminal

Activate Virtual Environment (macOS/Linux)

source venv/bin/activate
Key Takeaways: After you activate the virtual environment: pip commands will work, but downloads will be done for that environment only. When a user has to deactivate the virtual environment of a command prompt they simply have to type the following command.

Deactivate Virtual Environment

deactivate
Each separate project can now have its specific versions of libraries required to help it run smoothly, which were dependencies for other projects, using the means of virtual environments is a very effective solution to this library version collision problem.

6. Recording a Whole New Pay Script for the First Time

Now that you have completed the preceding steps, which included setting up your IDE, Python and the rest of the development software, you can start writing Python code. Using your editor or the one integrated in your IDE, create a new file with a .py extension and record your first ever Python script.
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Within the constantly changing environment of technology, computer languages, undoubtedly, are the ones that set the order of the digital universe. The majority of developers consider Python to be among the most widely used programming languages today. It is easily one of the best programming languages due to its simplicity, user-friendliness, as well as the plethora of tasks it can cater for, thus welcoming both amateur and veteran programmers. This article will discuss Python, its major characteristics, and some areas where it finds the most application to accentuate the reasons for its growing popularity among developers across the globe.

The Rise of Python

Guido van Rossum developed the first version of the language in the late '80s, which was later released in 1991. It was accompanied by a guiding principle that stresses the importance of ease of reading and understanding the code. Clear and precise syntax is one of Python's great strengths since it enables programmers to generate clean and comprehensible code. In contrast to numerous other computer languages that are considered advanced due to the intricate syntax, Python has a writing style that more resembles common speech. As the years went by, Python has enjoyed mass acceptance owing to its capabilities to support procedural, object-oriented, as well as functional programming. Its thick ecosystem of libraries and frameworks has enhanced its utilization across multiple domains such as web development, data science, artificial intelligence, automation, etc.

Notable Characteristics of Python

1. Ease of Use due to English Like syntax

The vice of complexity has been avoided and the scope of easy to read and easy to understand commands has been embraced in Python, this makes it beginner friendly. Indentation is used to distinguish code blocks, which helps in keeping the language clean and readable; also, of note is the fact that braces or parenthesis are not used in the language construct which new programmers appreciate.

2. It is a high level Programming Language

Python is known to be high level due to the fact that it hides or deludes the user to the hardware level of operation. This means that developers have to be less concerned with low-level particulars such as memory management or specific instructions of the hardware, instead they can concentrate more on solving issues and come up with designs for algorithms.

3. Language that is interpreted

Python being an interpreted language is the polar opposite of being compiled. Put simply, it interprets source code and executes it line by line. This Python interpreter implements a runtime system that converts the source code to machine code as one line thus making debugging much easier.

4. Works Across Multiple Platforms

Python being the cross-platform can work on Windows, Mac OS and Linux and no need for rewriting of any modules. The essence of this is most notable for those who work in cross-platform environments in which case they don't have to concern themselves with whether they are writing for a specific Operating System.

5. Standard module of great scope

Python has a standard module covering a lot of its operational aspects and a few more that include file handling modules, data modules, network modules and others. This rich set of built-in tools allows developers to perform a wide range of tasks without having to write additional code from scratch.

6. Integration with Other Libraries and Frameworks

A library or framework is perhaps the most integral part of Python and is a specific reason that adds to the success of Python. There is always a library or framework for everything, to enable easier task completion, Web development, data, or even artificial intelligence. Very well-known libraries such as Numpy, Pandas, Django, Flask and Tensor Flow provide powerful tools that simplify difficult tasks. [图片]

Areas of Usage for Python

The ability to simplify complex tasks together with the broad versatility makes one language an overarching language for a plethora of tasks within multiple industries. Below are a few common sectors that use Python:

1. The development of Websites

With the use of frameworks such as Django and Flask, Python has a respectable place in the website development industry. Such frameworks help app developers to be more agile and create robust web and backend applications. For example, Django is a higher-level framework that encourages rapid development and a clean and pragmatic design, which means everything a web developer requires to create a web application is available in this type of framework. Flask is a micro web framework for Python, which is easy to learn and expand, and components not included are controlled by the developer; therefore, it becomes more flexible. One of the main factors contributing to the growth in love for website development with the use of Python is the ease of use, as well as powerful frameworks and great flexibility.

2. Science and Analysis of Data

Data science, machine learning, and artificial intelligence has its favorite language which is Python Programming. With the help of Pandas, NumPy and Matplotlib, data scientists don't have a problem any longer since they can do data manipulation, analysis and visualization in a simple manner. With the use of popular tools like TensorFlow or Scikit-learn, there is no question why Python has risen to be one of the top programming languages for machine learning and deep learning tasks. Because of the large number of available libraries for data science, Python became a good candidate for big data analysis and processing.

3. Bash and Scripting

Another great Role in python programming language has to be in automating monotonous tasks. Python's simple syntax and powerful libraries make it an excellent choice for writing scripts that can automate processes like.
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Testing
11月19日
Testing
Today email is one of the most common forms of communication. The internet is prevalent everywhere. With the help of smart devices, it is very convenient for anyone to communicate with emails from anywhere. Like letter writing, email writing, both formal and informal, also has a certain format. By learning the correct format of writing an email you can save yourself from awkwardness in many situations. [图片]

How to write an email

Before differentiating between formal and informal email writing, you should know how to write an email. You must first consider your audience. You will decide on the salutation and tone of your email based on your audience. For example, if you are writing to your business partner, then you must use a formal tone and choose words carefully. However, if you are writing an email to a friend then you can use an informal approach. You should write the subject of your email in the subject line. Then start the email with a greeting. The later parts of your email should mention the issues you want to discuss or convey a message. They have a simple closing.

Formal vs informal email

There are several differences between writing a formal and an informal email which includes both language and structural changes. The general templates of these emails have some common features. For example, both have the recipient's name and address, subject line, greetings, detailed context, and closing. However, there are differences in how you write each section of the email. Here we will discuss in detail them.

Recipient

In the case of both formal and informal email, you should write down the address of the recipient carefully. Make sure the spelling is ok so that your email reaches the intended person.

Subject line

A subject line is a must in formal email, otherwise, your email may go unnoticed. Also, it shows that you are unprofessional. It can be a short phrase saying why you are writing. If you are writing an email for marketing purposes then the subject line must grab attention. If you are writing to your boss or colleague then the subject line must show that your email is important. In the case of informal emails, you may choose to skip the subject line. Still, it's a good practice to use it.

Tone

You must maintain professionalism and clarity when writing a formal email. Try using a polite tone rather than a harsh one, even if you are writing an email to your junior colleague. In the greetings section, you should use a formal tone in case of a formal email. In informal emails, you can use slang.

Language

The language of a formal email is polished. You should not use contractions, slang, or casual words. If you don't know the gender of the recipient, then use non-gender words.

Greetings

In a formal email, you must include a formal greeting, like 'Dear Sir', 'Dear Mr. Jake', or 'Good Morning'. Nowadays, you don't have to be that formal even when writing official emails, like starting the email with a simple 'Hi'. When you have multiple threads to the same email, you can stop using greetings; however, it's always better to use one. In case of an informal email, you can say 'Hey buddy', or 'Yo Man'.

Discuss important things

After the greeting, you must start writing about the important context. If necessary, you must start with background information so the recipient knows what you are talking about and why. Then discuss the matter and write about your intention of writing the email. Unless required, try to make your message brief as everyone is busy today and many people will ignore long emails with unnecessary details. If you want the recipient to take any action after reading your email then mention that specifically.

Complimentary closer

In a formal email, you must include a polite and short closing; for example, 'Thank you for your consideration', or 'Looking forward to hearing from you'. You can have an open-ended statement to keep room for further communication.

Email Signature

It is professional to have an email signature when you are writing a formal email. You can set it up automatically in your email software and include your name, job title, and contact details. If you are writing to someone for the first time, then that person will learn about you just by looking at your email signature. In an informal email, you can just write your name in short.

Enclosures

You may include attachments to both formal and informal emails. In the case of formal emails, mention in the body of your email that you have included an attachment so that the recipient doesn't miss them. You must write 'Please find the files attached', or something similar. In informal emails, most people send pictures as attachments. You can directly mention your photos in the subject line or the email body. [图片]

Use email templates

You may write a formal letter to your boss, colleague, or business partner for resignation, job application, complaints, business proposals, and other reasons. There is a specific format for each type of these formal letters and many organizations or professionals want you to follow the standard format so that they get the right information. You can use the various formal email templates found online to help you write such an email. In the case of informal email, you don't need to bother about any specific format. Be mindful when writing your email. Even when you are writing an informal email to your friend or family member don't use any offensive words. In both types of emails, you must try to keep the message straightforward.
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Do you think crafting poems and stories is not your thing? Then think again! With some simple rules and techniques even you can create wonderful stories and poems that others will read and appreciate. [图片]

Writing poems

You can express your emotions or tell stories through poetry. However, poetry is different from other forms of writing. Poetry includes sound, rhythm, and format. Have you ever thought about why poems are read aloud? They are most impactful when they are read aloud because of the use of words and phrases that highlight images or thoughts. Poets use alliteration, consonance, and assonance in poetry to make them sound beautiful. Poetry is similar to music as it has rhythm. Its rhythmic structure is called a meter which indicates the syllables in each line. You can use stressed and unstressed syllables to create rhythm in your poetry. Repetition is another technique you can use to create rhythm. Rhyming sentences make poems enjoyable to recite. The audiences also have a pleasurable experience. It is not necessary for the end of a sentence to rhyme in every alternating line. You can choose to rhyme any part of the sentence. In terms of format, a poem is quite different than prose. You will notice that the sentences end differently, words have various arrangements and blank lines appear in between sentences. In a poem, a paragraph is called a stanza. You can write a poem consisting of similar length stanzas or different lengths. You should know the different forms of poems before you decide to write one. You can choose from sonnet, ode, limerick, and others. To write a good poem you must be an expert in using literary devices. These improve your writing extensively. The common literary devices include simile, metaphor, figurative language, alliteration, juxtaposition, onomatopoeia, imagery, personification, hyperbole, and more. You should practice freewriting to search for a good topic for your poetry. Then you need to choose the format, words, rhythm, and rhymes carefully to craft your poem. You must edit your poem. Don't rush; take time to look into every word for improvement. You should read the poem aloud to find faults in your poem. [图片]

Writing stories

Just like writing poems, you must be very creative to write compelling stories. You must take time to research the topic or theme of your story. The format of a story is very different from that of poetry. A story has a setting, plot, characters, and conflict. To write a story you should first decide on the genre; that is, whether you want to write a humorous, tragic, romantic, science fiction, or crime story. You need to find an inspiration to come up with a good story. You can take inspiration from your personal life events or from that of society. You must brainstorm to find several ideas from which you can choose one. Once you have decided on the theme or topic, you must create an outline of the story. Simply create a basic framework and mention how you want to craft the story. You should start your story with something appealing or startling. You must grip your readers with your opening paragraph. Then carefully present the plot and characters. Understandably provide links between characters. A good story gives the reader a good experience reading and also leaves a lasting impression. Just like poetry, you must revise and edit your story as well. If possible, ask a friend to read your story and provide feedback. Sometimes, others' opinions add value to the story. To write a poem or story, you must have an open mind. You should read lots of different types of stories and poems to learn the writing styles of famous writers and poets. It's all about practice and continuous learning.
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[图片]Is 6 months enough time to learn English? You bet it is! With sincere practice, dedication, and patience you can learn English within six months. Here are some tips for being fluent in English within 6 months.

Set goals

When you are planning to achieve something, the first thing you need to do is set clear goals. Think about why you want to learn English, whether it's for academics, travel, or job purposes. Then divide this main goal into small parts. For example, your goal for the first month would be to learn the common phrases for greetings/ The goals must be specific, measurable, achievable, relevant, and time-bound, i.e. SMART. These goals will help you to observe your progress so that you know whether you are on track or falling behind. You can then take action accordingly.

Make a study plan

You must follow a routine every day to practice English. So, make a study plan and stick to it. Allocate specific time for studying grammar, pronunciation, listening exercises, and vocabulary. Set up more study time for the area you are weak in. Other than finding time for practicing exercise, you need to spend sometime reading story books or watching movies.

Have an immersive learning experience

As the time is short, you should have an immersive learning journey. This is much more effective than reading books or solving past papers. You can change your study room for a few days and go to a new environment. This will boost your mood and you will feel like studying. To practice English speaking, go to a park with your friend and practice conversations. If you do not feel like studying grammar in this gloomy weather, go to your favorite coffee shop and try practicing some exercises there.

Engage with different media

You can plug in your latest sound system to listen to different podcasts, music, radio programs, or discussions. You should try to understand the lyrics. You can watch movies or TV shows. Watching movies can improve your English noticeably. Try to watch American, British, Canadian, and Australian movies to find out the differences in accents. You can also watch a Hollywood movie with a cowboy story to hear that unique accent. You will hear many slang and idioms in the movies; try to find out their meanings. [图片]

Read magazines, newspapers, and storybooks

With 6 months in hand, you shouldn't miss a single day practicing something or other. At the same time, you should read newspapers, magazines, and blogs. These are powerhouses of information and can help you to learn the latest global news. In the speaking exam, you may be told to describe an event and the information you get from magazines and newspapers can be very helpful. Reading story books can be helpful in improving your vocabulary and learning various writing styles, use of tense, verbs, etc. Your reading skills will develop considerably.

Practice speaking

With the exam hanging around the corner, you need to find a way to improve your speaking within a short time. Try to find a native speaker and go on a short trip with him or her. As you will be continuously talking to a native person in English during your short stay, you will learn a lot of things about accent, pronunciation, and words. Another trick is to go on a short visit to an English-speaking country and listen to the natives speaking firsthand. It will be a great opportunity to explore their culture too. You must join a conversation group too to practice speaking. There are certain apps that help you find a native speaker to talk to. You can use those apps.

Focus on vocabulary

At first, memorize the most common words that you use every day. Then move on to the more complex ones. When you learn the meaning of a new word, learn the synonym, antonym, and noun or verb as well. That way with every new word you are actually learning 3 to 4 new words. Use flashcards to remember and revise words. There are apps with flashcards. You can use those as well.

Master grammar

Every day learn each chapter of grammar and do the practice exercises. Learn the grammar rules by heart. It is easy to get marks in grammar, but identifying the right rule can be tricky. If you know the rules well then you will be able to answer any difficult question.

Go to English-speaking social gatherings

You can have an enjoyable experience going to social gatherings. Make sure you communicate in English with everyone there. The more you practice speaking English, the more fluent your accent will be.

Practice speaking in front of a mirror

Consider the mirror to be your friend and do a small talk in front of it every day before going to be. That way you won't hesitate to speak up in your natural way and build up confidence in speaking English.

Write journal

To improve your writing skills you must start writing journals every day. You can also start writing a blog on topics you enjoy talking about.

Use technology

You must use the latest apps for English learning. These apps have interesting features to make your English learning process more enjoyable. Technology can help you learn things faster. Just download the apps on your smartphone and revise English grammar and vocabulary on the go. You can use an online translator to learn new words. If you follow this roadmap, you will be able to successfully learn English within six months. You only have to be regular in your studies and practice hard. If you want you can get enrolled in a short English course too. With determination and hard work, you can reach your goal.
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