
Explore Python frequently asked questions, including object oriented design, simple syntax, and extensible via C or C++. Learn about licensing, versioning, and career opportunities in data science and machine learning.
Explore how an integrated development environment speeds up Python coding with syntax guidance and keyword highlighting. Install Anaconda to run Jupyter Notebook on Windows and write code in cells.
Master printing text in Python using the print function with single or double quotes. Learn to write concise comments with # to document your code for debugging and handover.
Master Python fundamentals from syntax and datatypes to flow control, objects and classes, and functions, with file handling and databases; learn Python syntax, indentation, comments, variables, and type casting.
Master Python strings by learning indexing and slicing (including negative slicing), string methods such as len, strip, lower, upper, title, find, and split, and practical formatting and concatenation examples.
Explore lists in python, learn how to define, index, slice, and manipulate list elements; master append, extend, remove, and clear for grocery store stock examples.
Discover how tuples differ from lists in Python: use parentheses, access via indexing and slicing, immutability, memory efficiency, and use as dictionary keys.
Explore how to create and manipulate Python dictionaries using key–value pairs, add and remove entries with pop and pop item, and format or nest dictionaries for complex data.
Define integer, float, and boolean datatypes, and print their values and types. Add integers to floats to yield a float, and booleans true or false in conditionals.
Explore Python operators, including the assignment operator, arithmetic operator, comparison operator, logical operator, identity operator, and membership operator, and see how they act on variables and values.
Learn how to receive user input with the Python input function, store it in variables (like name and email), and print responses; cast numeric inputs to integers for arithmetic.
Explore if-else statements and indentation to control program flow, perform nested conditional checks, validate numeric input, cast types, and handle division errors with clear messages.
Learn how while loops run until an exit criterion is met, with entry and exit criteria, printing numbers from 1 to 20 and handling yes/no continuation.
Explore for loop syntax in Python, using range to print numbers, iterating strings, lists, and tuples, and applying break, continue, enumerate, and else for controlled iteration.
Discover how Python functions reduce duplication and improve clarity by breaking logic into blocks. Define a function with def to check even or odd via modulo and use user input.
Read, write, append, and manage files in Python using open, read, readline, write, and os.path.exists to check existence and create or remove files.
Learn to import the datetime module, create today with datetime.datetime.now(), print the datetime, format dates with strftime, and use timedelta to add or subtract days.
Learn to interact with a rest api using Python requests, handle json data, and build a small talk program that greets users, fetches country details (capital, population, borders) and neighbors.
Explore using Python and Selenium to automate video watches with ChromeDriver, selecting random videos and random viewing durations to mimic human behavior while avoiding anti-spam detection.
Learn to automate sending Telegram messages with Python by creating a group and a bot, then push jokes from a Python list via the bot api using requests.
In this course we are going to Learn Python 3. This course is intended for someone who has no prior knowledge to Python Programming Language. The course is structured in a way so that it first answers all the frequently asked questions around Python before starting getting hands dirty with Python coding.
We are going to learn below topics:
Python Intro and Frequently Asked Questions
IDE for Python Code Development
Quick Jupyter Notebook Intro
Syntax
Comments
Variables
Python User Inputs
Data Types
Strings
Numbers
Lists
Tuple
Float
While Loop
For Loop
Type Casting
Python Conditional Statements
Arrays
Classes and Objects
Object Oriented Programming Features
Python File Handling
Projects Such as :
Program to Perform Calculator Kind of Operations
Program to Perform Small Talk with Any User
Program to Automate Sending Messages on Telegram
Program to Automate Videos Watches on Youtube of Other Video Platforms