Python Documentation: https://docs.python.org curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py python get-pip.py use this in nvim :help python pip --version Planning to develop some python application or python package your best option is use virtual environments. Try virtualenv or even conda Use poetry much better option to manage application from start to finish. It is a much better option than requirements.txt + setup.py. Another more simple option is use python-virtualenv. This can bring portability to the code and maintain old packages as well. Install it with sudo pacman -S python-virtualenv and then do this virtualenv -p /usr/bin/python3 yourenv source yourenv/bin/activate pip install package-name When you create this environment yourenv, you will setup pip to install packages only into this environment, not to the entire system. Basic Syntax Comments python # This is a single-line comment """ This is a multi-line comment """ Variables python # Declaration and initialization x = 10 # Declaration without initialization y = None Data Types Data Type Description int Integer Represents whole numbers without a fractional component float Float Represents real numbers with a single-precision format str String Represents a sequence of characters bool Boolean Represents a logical value, either True or False list List Represents an ordered, mutable collection of elements tuple Tuple Represents an ordered, immutable collection of elements dict Dictionary Represents a collection of key-value pairs set Set Represents an unordered collection of unique elements Arithmetic Operators Addition: x + y Subtraction: x - y Multiplication: x * y Division: x / y Modulus: x % y Exponentiation: x ** y Floor Division: x // y String Operations python string = "Hello, World!" len(string) # Length of string string.upper() # Convert to uppercase string.lower() # Convert to lowercase string.strip() # Remove whitespace string.split(",") # Split by comma Control Flow Conditional Statements python if condition: # Code to execute if condition is true elif another_condition: # Code to execute if another_condition is true else: # Code to execute if neither condition is true Loops python for item in iterable: # Code to execute for each item in iterable while condition: # Code to execute while condition is true Functions python def function_name(parameter1, parameter2): # Code to execute return result # Optional return statement Data Structures Lists python my_list = [1, 2, 3, 4, 5] my_list.append(6) # Add item to the end of the list my_list.insert(0, 0) # Insert item at a specific index my_list.remove(3) # Remove item from the list my_list.pop() # Remove and return the last item my_list.sort() # Sort the list Dictionaries python my_dict = {"key1": "value1", "key2": "value2"} my_dict["key3"] = "value3" # Add a new key-value pair del my_dict["key2"] # Delete a key-value pair my_dict.keys() # Get all keys my_dict.values() # Get all values my_dict.items() # Get all key-value pairs Sets python my_set = {1, 2, 3} my_set.add(4) # Add an element to the set my_set.remove(3) # Remove an element from the set Python is case-sensitive (e.g., variable and Variable are different). Python uses indentation (usually four spaces) to define code blocks. Indentation is important for the structure and readability of your code. Statements are terminated with a newline. However, you can use a backslash (\) to continue a statement to the next line. Python follows the "PEP 8" style guide, which suggests guidelines for writing Python code. Some key points include: Use descriptive variable and function names. Use lowercase letters with words separated by underscores for variable and function names (e.g., my_variable, my_function). Use uppercase letters with words separated by underscores for constants (e.g., MY_CONSTANT). Use spaces around operators and after commas (e.g., x = 5 + 2, my_function(arg1, arg2)). Limit line length to 79 characters. Python supports both single-quoted (') and double-quoted (") strings. Use whichever is more appropriate for your case, but be consistent. Python uses zero-based indexing for lists, tuples, and strings. The first element is accessed with index 0. Python allows for multiple assignment in a single line, e.g., x, y = 10, 20. Python has no mandatory declaration of variables. Variables are created when a value is assigned to them. Python uses the None value to represent the absence of a value or a null value. Python has a dynamic type system, meaning you can reassign variables to different types. Python is an interpreted language, which means it is not compiled but executed line by line. Use meaningful comments to explain the purpose and functionality of your code. Python uses the # symbol to denote single-line comments. Use docstrings (multi-line comments enclosed in triple quotes) to provide documentation for functions, classes, and modules. Use the backslash (\) to continue a statement onto the next line when necessary. Use parentheses to group expressions and clarify the order of operations. Avoid using single-character variable names, except in cases where the purpose is clear (e.g., loop counters). Follow the DRY (Don't Repeat Yourself) principle and avoid duplicating code. Instead, use functions or loops to encapsulate and reuse code. Use meaningful names for variables, functions, and classes that reflect their purpose and intent. Use snake_case naming convention for functions, variables, and modules (e.g., my_function, my_variable, my_module.py). Use CamelCase naming convention for classes (e.g., MyClass). Use appropriate spacing around operators and after commas to enhance readability. Follow proper code formatting by using consistent indentation and line breaks. Avoid unnecessary or excessive code comments that only restate the code itself. Make use of white space to improve code readability, such as adding blank lines between functions or sections of code. Use built-in functions and libraries whenever possible to leverage existing functionality and improve code efficiency. Use a consistent naming convention for constants, such as using uppercase letters with underscores (e.g., MAX_VALUE). Avoid using global variables whenever possible, as they can lead to code complexity and make debugging difficult. curl -OJL https://docs.python.org/3/archives/python-3.9.7-docs-html.tar.bz2 tar -xvf python-3.9.7-docs-html.tar.bz2 After extraction, you can navigate to the extracted directory and open the index.html file in a web browser to access the offline Python documentation. or to generate the documentation for a specific Python module or package, use the following command: pydoc -w module_name Replace module_name with the name of the module or package for which you want to generate documentation. For example, to generate documentation for the os module, you can use: pydoc -w os Additionally, you can use the -p option with pydoc to launch a local web server and view the documentation in your web browser. For example: pydoc -p 5000 This command will start a web server on port 5000, and you can access the documentation by opening your browser and navigating to http://localhost:5000.