Python-Language

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Comprehensive guide to Python programming covering installation, variables, control flow, data structures, functions, error handling, object-oriented programming, file handling, datetime manipulation, random data generation, regular expressions, JSON, and database connectivity.

Type

Study Group

1. An Introduction to Python

This section will help you get started with Python Programming language by installing it and running your first program. Also, it will walk you through the basic concepts and fundamentals of Python.

Get Started With Python

Python Statements

Python Keywords

Python Operator

2. Variables and Data Types

Learn how to create, modify, delete variables of different types. Learn to use some basic numeric (int, float, and complex), string, and Boolean types that are built into Python.

For example, we can create a variable with a specific name. Once you create a variable, you can later call up its value by typing the variable name.

Python Variables

Python Data Types

Python Casting (Type conversion):

Python Numbers

3. Control Flow and Loops

In Python, flow control is the order in which statements or blocks of code are executed at runtime based on a condition. The loop statement repeats a code block a number of times.

Control flow statements

Python range() function

4. Python Input and Output

This section lets you know input and output in Python. Learn to get input from the user, files, and display output on the screen or console. Also, learn output formatting.

Python Input and Output

5. Basic Data Structures

This section covers Python's basic data structures that help you organize and manipulate data efficiently. Python provides several built-in data structures such as lists, tuples, sets, and dictionaries that offer different ways to store collections of data with varying characteristics and use cases.

Python Lists

Python Tuples

Python Sets

Python Dictionaries

Python String

6. Python Functions and Modules

This section explores how to define and use functions with various parameter types, return values, and scopes. You'll also learn how to create, import, and work with modules to build more maintainable and scalable applications.

Functions in Python

Python Modules

Check Modules Attributes

7. Python Exceptions and Errors

This section covers the different types of exceptions in Python, how to handle them effectively with try-except-else-finally blocks, and techniques for creating custom exceptions to enhance code reliability and maintainability.

Python Exceptions and Errors.

8. Object Programing Language

Classes and Objects in Python

Python Attributes

Python Methods

Constructors in Python

Constructors in PythonPython Destructors to Destroy the ObjectEncapsulation in PythonPolymorphism in PythonInheritance in PythonPython Instance VariablesPython Instance MethodsPython Class VariablesPython Class MethodPython Static Method

Python Class Method vs. Static Method vs. Instance Method

9. File Handling in Python

Create File in Python: Open a File in Python: Read File in Python: Write to File Python: File Seek(): Move File Pointer Position: Rename Files in Python: Delete Files and Directories in Python: Copy Files and Directories in Python: Move Files Or Directories in Python: Python File Handling Quiz

10. Python FAQs:

The below list contains the solution to the common questions and challenges you can face working on files and directories in Python.

Python Check If File Exists
Python Check File Size
Python Count Number of Lines in a File
Python Search for a String in Text Files
Read Specific Lines From a File in Python
Delete Lines From a File in Python
Writing List to a File in Python
Python List Files in a Directory
Python Count Number of Files in a Directory
Python list Files in Directory with Extension txt
Python Remove/Delete Non-Empty Folder
Python Get File Creation and Modification DateTime

11. Python DateTime

Get Current Date and Time in Python: Python DateTime Format Using Strftime(): Python String to DateTime using strptime(): Timestamp In Python: TimeDelta in Python: Working With TimeZones in Python:

The below list contains the solution to the common questions and challenges you can face working with datetime in Python.

Python Difference Between Two Dates in Days
Python Difference Between Two Dates in Months and Years
Calculate Time Difference in Python
Python Get the Day of the Week
Python Get Business Days
Python Measure the Execution Time of a Program
Python Get ISO 8601 Datetime
Python Datetime to Seconds
Python Convert Seconds To hh:mm:ss (Hours, Minutes, and Seconds)
Python Get File Creation and Modification DateTime

12. Python Random Module: Generate Random Numbers and Data

Python random intenger number: Python random choice: Python random sample: Python weighted random choices: Python random seed: Python random shuffle: Python random float number using uniform(): Generate random string and passwords in Python: Cryptographically secure random generator in Python: Python Secrets module: Python UUID Module: Python Random data generation QuizPython Random data generation Exercise

13. Regular Expression in Python (Python RegEx)

Python compile regex patternPython regex match: A guide for pattern matchingPython regex searchPython regex find all matchesPython regex splitPython Regex replacePython regex capturing groupsPython regex metacharacters and operatorsPython regex special sequences and character classesPython regex flagsPython regex span(), start(), and end()

14. Python JSON

Python JSON EncodingPython JSON ParsingValidate JSON Data using PythonPrettyPrint JSON Data using PythonPost JSON using the requests libraryMake a Python Class JSON serializableConvert JSON Data Into a Custom Python Object (Custom JSON Decoder)Python JSON Handle Unicode DataParse a JSON response using the Python requests librarySerialize Python DateTime into JSONSerialize Python Set into JSONSerialize NumPy array into JSONPython Check if a key exists in JSONParse multiple JSON objects from filePython JSON Exercise

15. Python Database

Python SQLite: Python MySQL: Python PostgreSQL: