
Learn Python from scratch through essentials and concepts, install Python, and build projects like a water scanner. Create and manipulate variables, strings, lists, dictionaries, loops, and input and output confidently.
Install Python across Linux, Windows, and macOS with Python 3.8, understand the interpreter, and set up editors like Visual Studio Code to write hello world.
Write your first hello world program in Python using print, save it to your desktop, and run it in the terminal with Python 3 to see the output.
Explore Python data types, from fundamental int, float, bool, and string to list, set, and dict, and learn about classes, modules, and the none type.
Explore numbers in Python by performing arithmetic operations, printing results, and inspecting data types with type(), including how division yields floats and integers.
Understand Python math functions from the standard library, explore rounding and absolute value examples, and learn where to find the official documentation for these functions.
Explore Python operator precedence, with exponentiation first, then parentheses, then multiplication and division, and finally addition and subtraction, demonstrated through simple calculations.
Learn to declare and use variables in Python, assign integers, and print sums in the terminal. Explore adding variables, spaces, and multi-variable lines.
Learn string handling in Python, including variable declaration, single and multi-line quotes, and concatenation, with notes on avoiding hard-coded passwords using environment variables and secret manager.
Explore escape sequences and backslashes to handle quotes, create new lines, and print a backslash correctly in code, with practical demonstrations of using two backslashes.
Learn Python type conversion: convert integers to strings and back with str() and int(), concatenate strings with values, and check types using type(), noting ASCII codes for characters.
Learn how to format strings in Python by embedding variables with braces in print statements, and use indexing to display dynamic user and age values.
Learn how strings are sequences of characters, use zero-based indexes with square brackets to access characters, and slice with [start:end], where the end is not included.
Explore booleans, the true or false data type, and how zero and one map to false and true. Learn to convert values to boolean with bool function and print results.
Create and manipulate lists in Python using square brackets and mixed data types. Index and slice with colon, apply zero-based indexing, and observe out-of-range behavior.
Learn how Python list methods work and where to find them, including append, extend, insert, remove, sort, and copy, with practical tips on searching docs and examples.
Explore the matrix as a multi-dimensional array, using nested lists and index notation to access elements, print values, and distinguish between characters and variables in Python.
Learn how the None type in Python represents an uninitialized variable, how it differs from zero or empty strings, and why a variable may hold an arbitrary value until set.
Explore dictionaries in Python, using braces and key-value pairs to store data such as name and age. Access values by key and nest dictionaries within lists for complex data structures.
Explore Python dictionary methods such as copy, keys, get, items, pop, clear, update, and values to manage dictionaries efficiently.
Learn that tuples are read-only compared to lists, cannot be modified or sorted, and that item assignment fails. Compare bracket usage to lists and index by position without assignment.
Learn how to use Python conditionals with if, else, and elif, applying boolean logic and comparison operators, while mastering indentation to control program flow.
Practice the Python for loop syntax by creating a loop with a variable i and an indented print inside the loop. Outside the indentation, i equals 5.
Learn how to use Python's for loop with the range function to generate numbers from 0 to 9, understand end-exclusive behavior, and extend to 10 by using 11.
Explore the while loop in Python by stepping through a counter from zero to four, avoiding infinite loops through increasing i until five, with practical code demonstrations.
Explore Python loop control with break, continue, and pass in for and while loops. Learn how break exits a loop, how continue skips iterations, and how to avoid infinite loops.
Define and call functions in Python to reuse code, using built-in vs custom functions, parameters, return values, and scope to manage local and global variables.
Explore defining functions with parameters and return values, then handle many inputs with *args and keyword arguments with **kwargs, illustrating printing and dictionary behavior.
Learn how to organize Python code with packages and modules, create directories and files, and manage imports. Explore importing across modules and calling functions like fun one and fun two.
Explore error handling in Python by validating input with try and except, converting to integers, and using else and finally blocks to maintain elegant, robust programs.
Explore Python input/output by using the open function to read, write, and append to text files, manage modes, and close files, with error handling to come.
Explore python file operations with robust io error handling using try/except, addressing file not found, and creating files when needed, while reading, writing, and managing open modes.
learn to build a python port scanner from scratch, using socket and gethostbyname, print an ascii banner, and scan ports 1–99 on a target ip with basic error handling.
Learn python for beginners with projects by building a directory discovery tool using requests, reading a wordlist, and performing http get requests to enumerate directories on a target site.
Learn to build a Python brute-force login tool from scratch using a large word list and a post request workflow, with colorized output and ethical hacking guidance.
Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License (GPL). This tutorial gives enough understanding on Python programming language
Why to Learn Python?
Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. It uses English keywords frequently where as other languages use punctuation, and it has fewer syntactical constructions than other languages
Python is a MUST for students and working professionals to become a great Software Engineer specially when they are working in Web Development Domain. I will list down some of the key advantages of learning Python:
Python is Interpreted − Python is processed at runtime by the interpreter. You do not need to compile your program before executing it. This is similar to PERL and PHP
Python is Interactive − You can actually sit at a Python prompt and interact with the interpreter directly to write your programs
Python is Object-Oriented − Python supports Object-Oriented style or technique of programming that encapsulates code within objects
Python is a Beginner's Language − Python is a great language for the beginner-level programmers and supports the development of a wide range of applications from simple text processing to WWW browsers to games
Characteristics of Python
Following are important characteristics of Python Programming −
It supports functional and structured programming methods as well as OOP
It can be used as a scripting language or can be compiled to byte-code for building large applications
It provides very high-level dynamic data types and supports dynamic type checking
It supports automatic garbage collection
It can be easily integrated with C, C++, COM, ActiveX, CORBA, and Java
Python is one of the most widely used language over the web. I'm going to list few of them here:
Easy-to-learn − Python has few keywords, simple structure, and a clearly defined syntax. This allows the student to pick up the language quickly
Easy-to-read − Python code is more clearly defined and visible to the eyes
Easy-to-maintain − Python's source code is fairly easy-to-maintain
A broad standard library − Python's bulk of the library is very portable and cross-platform compatible on UNIX, Windows, and Macintosh
Interactive Mode − Python has support for an interactive mode which allows interactive testing and debugging of snippets of code
Portable − Python can run on a wide variety of hardware platforms and has the same interface on all platforms
Extendable − You can add low-level modules to the Python interpreter. These modules enable programmers to add to or customize their tools to be more efficient
Databases − Python provides interfaces to all major commercial databases
GUI Programming − Python supports GUI applications that can be created and ported to many system calls, libraries and windows systems, such as Windows MFC, Macintosh, and the X Window system of Unix
Scalable − Python provides a better structure and support for large programs than shell scripting