Posts

Things to know before admitting your kids to school

-
Here are few things that you must know or take care of before admitting your kids to school. If you are not taking care of these things, you might be putting you children to wrong school, risking life. Only irresponsible parents do this mistake who all do not love their children or one who are not serious about their children or one who are uneducated. So, let me guide you to few thins that you need to take care of before admitting your children to school. 1. See if school is registered to local registerer (respective government). 2. Check the classroom, bathroom, playground, kitchen, it needs to be clean. 3. Sit in the classroom for 5 to 10 min., see how they lecture children. 4. Check the school fee, other fee, transportation fee, see if you can afford. 5. Check the food they fed to children, how many times, they give food to children. 6. Check the school duration, start and end time, usually for children 4 to 8 hours, see for how long your student can sit in class. 7. Ask for holida
Read more

What is Python String Formatting and how to use it?

-
### Python String Formatting: An Overview String formatting in Python allows you to **insert variables, values, or expressions** into strings dynamically. This is useful for constructing output or displaying information in a customized format. There are three main ways to format strings in Python: 1. **`%` operator** (older method, similar to C-style formatting) 2. **`str.format()` method** (introduced in Python 3) 3. **f-strings** (formatted string literals, introduced in Python 3.6) ### 1. `%` Operator (Old Method) The `%` operator allows you to insert variables into a string by using format specifiers (e.g., `%s`, `%d`, `%f`). #### Syntax: ```python "string with %specifier" % (values) ``` #### Example: ```python name = "Alice" age = 25 print("My name is %s and I am %d years old." % (name, age)) ``` **Output:** ``` My name is Alice and I am 25 years old. ``` #### Common Format Specifiers: - `%s` for strings
Read more

What is Python User Input and how to use it?

-
### Python User Input: An Overview In Python, **user input** refers to data provided by the user during the execution of a program. Python provides a built-in function called **`input()`** to capture user input from the console. This input is then stored as a string, which can be processed or converted to other data types. ### Basic Usage of `input()` #### Syntax: ```python variable = input(prompt) ``` - **`prompt`**: A string that is displayed to the user as a prompt (optional). - **`variable`**: Stores the input entered by the user. ### Example: Basic User Input ```python name = input("Enter your name: ") print(f"Hello, {name}!") ``` **Output:** ``` Enter your name: John Hello, John! ``` Here, the **`input()`** function displays the prompt **"Enter your name: "** and waits for the user to type something. Once the user presses **Enter**, the input is stored in the variable `name`, which is then used in the `print()` s
Read more

What is Python Try Except and how to use it?

-
### Python `try-except`: An Overview The **`try-except`** block in Python is used for **exception handling**, which allows you to handle errors gracefully without crashing the program. When a piece of code might cause an error (an exception), you can use the `try` block to attempt execution. If an exception occurs, Python will skip the rest of the `try` block and run the code inside the `except` block to handle the error. This mechanism ensures your program can handle errors and unexpected conditions more elegantly. ### Basic Syntax of `try-except` ```python try:     # Code that might raise an exception except:     # Code to run if an exception occurs ``` ### Example of Using `try-except` ```python try:     num = int(input("Enter a number: "))     result = 10 / num     print(f"Result: {result}") except ZeroDivisionError:     print("Error: Division by zero is not allowed.") except ValueError:     print("Error: Inva
Read more

What is Python PIP and how to use it?

-
### Python PIP: An Overview **PIP** stands for **"Pip Installs Packages"** and is Python’s package manager. It allows you to install, update, and manage third-party libraries and packages in Python. Many Python libraries and frameworks are available via PIP, which makes it easy to extend Python’s capabilities by installing external packages. ### Common Uses of PIP 1. **Installing Packages**: Install any package from the Python Package Index (PyPI) or other repositories. 2. **Uninstalling Packages**: Remove installed packages when no longer needed. 3. **Upgrading Packages**: Update packages to their latest versions. 4. **Listing Installed Packages**: View packages currently installed in your environment. 5. **Checking for Outdated Packages**: Identify packages that need upgrading. ### How to Use PIP #### 1. **Installing a Package** The basic syntax for installing a package is: ```bash pip install package_name ``` Example: ```bash pip install req
Read more

What is Python RegEx and how to use it?

-
### Python RegEx: An Overview **RegEx (Regular Expressions)** is a powerful tool in Python for matching patterns within strings. Python's **`re`** module provides support for using regular expressions, allowing you to search, match, and manipulate strings based on specific patterns. ### Common Uses of Python's `re` Module 1. **Searching for patterns in strings**. 2. **Replacing parts of strings** based on patterns. 3. **Extracting substrings** that match a pattern. 4. **Splitting strings** based on patterns. ### Basic Syntax of Regular Expressions Here are some common regex symbols used for pattern matching: - **`.`**: Matches any single character except newline. - **`^`**: Anchors the pattern to the start of the string. - **`$`**: Anchors the pattern to the end of the string. - **`[]`**: Matches any one character inside the brackets. - **`|`**: Acts like OR between patterns (e.g., `a|b` matches either `a` or `b`). - **`*`**: Matches 0 or more repeti
Read more

What is Python JSON and how to use it?

-
### Python JSON: An Overview **JSON (JavaScript Object Notation)** is a lightweight data-interchange format that is easy for humans to read and write, and easy for machines to parse and generate. In Python, the **`json`** module provides functions to handle JSON data. You can use this module to encode and decode JSON data, making it easy to read from and write to files, APIs, or other data streams that use JSON. ### Common Uses of Python's `json` Module 1. **Serialization (Converting Python Objects to JSON)**    - **`json.dumps()`**: Converts a Python object (like a dictionary) into a JSON string.    - **`json.dump()`**: Writes a Python object as JSON to a file. 2. **Deserialization (Converting JSON to Python Objects)**    - **`json.loads()`**: Parses a JSON string and converts it into a Python object.    - **`json.load()`**: Reads a JSON file and converts it into a Python object. ### How to Use the `json` Module #### Example 1: Serializing Python Objects to JSO
Read more