
This course includes our updated coding exercises so you can practice your skills as you learn.
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Learn python programming by building ten projects from easy to advanced, covering python installation, anaconda setup, and fundamentals like data types, naming rules, operators, sequences, functions, and loops.
Learn Python basics from scripting origins and history to syntax and indentation. Explore print statements, the Python shell, and the difference between compilation and interpretation.
Download the latest python version from python.org on Windows and run the installer with recommended options like pip and IDLE. Verify with python --version and a quick IDLE test.
Learn how to install the latest version of Anaconda Python on Windows, download it from the official site, complete the installation, and launch Jupyter Notebook through the Anaconda Navigator.
Discover how to install PyCharm community edition on Windows, compare professional vs community, set up a Python project with a virtual environment, manage interpreters, install packages, and run code.
Learn how Python uses indentation to define blocks and creates variables by assignment with implicit typing; grasp =, ==, +, % formatting, and logical and, or, not; and print.
Learn how Python naming rules govern variable names, including not starting with a digit, case sensitivity, and avoiding reserved words and keywords.
Learn how Python variables act as memory that stores values, enables expression results, and supports reuse in programs, illustrated by x = 5 and x = x + 4.
Learn Python operators, including automatic operators and assignment operators, then examine comparison and logical operators used in control statements and loops.
Explore Python data types, including integers, floats, strings, booleans, and the none type, and how variables determine their type. See examples of declaring each type and checking types with type().
Explore Python strings, including single, double, and triple quotes, concatenation, indexing and substrings, and built-in methods like len, lower, upper, and count.
Explore Python lists, their ordered, zero-based indexing, and mutability, with examples of heterogeneous data types; learn append, insert, remove, sort, and reverse to modify lists.
Explore tuples, the immutable variant of lists, and learn indexing and conversion between tuples and lists in Python. Use length, max, and min to work with tuples.
Learn how Python dictionaries store data as key value pairs using curly brackets, remain mutable and ordered, and support updates, additions, and deletions with common methods.
Learn to use Python's input method to read user input and store it in a variable. Include type casting for integers, floats, and strings, and check data types.
Explore typecasting in Python by converting variables between integer, float, and string using explicit casting. See how numeric strings can be cast for arithmetic, while non-numeric strings raise errors.
Learn to use if and else statements in Python, understand conditions, indentation, and the flow of control with true/false branches; explore nested if-else and elif through GPA examples.
Learn Python for loops by repeating statements over a range of values with range, indentation, and a loop variable. Understand start inclusive, stop exclusive, and optional step.
Learn to implement a Python while loop, its syntax and condition-based execution, including handling indefinite loops and using indentation, with examples that print numbers and double until 200.
Learn how Python control statements manage loop execution with continue, break, and pass, showing how to skip iterations, terminate loops, and use pass as a placeholder.
Learn how Python functions work, define with def, call with parentheses, pass arguments and parameters, return values, and handle lists in function calls.
Explore how Python handles errors by distinguishing syntax errors, which terminate programs, from exceptions, which change the program flow. The lecture uses colon mistakes and division by zero as examples.
Learn error handling in Python using the try and accept block to test code for errors and handle them, with examples like undefined variables and list indexing.
Learn how to handle multiple exceptions in Python with multiple except blocks. Explore how undefined variables trigger name errors and how division by zero raises errors.
Learn how to use the else clause with try and except in Python to execute code when no exception is raised, illustrated with a simple example.
Explore how the finally keyword runs after a try and except block, guaranteeing execution regardless of errors, with a practical example that demonstrates exception handling.
Learn to raise an exception of your own choice in Python using the raise keyword, triggering a controlled termination when conditions like x < 0 or non-integer inputs occur.
Learn to build a simple Python language translator by installing and importing the translate package, then using the translator class to translate command-line text and compare with Google translator.
Learn to generate qr codes with Python by installing the qr code package, creating and saving images, and encoding data like links or text.
Learn to build a beginner Python quiz game (animal quiz) with two chances per question, using a main function and a global score to display the final score.
Create a random password generator in Python using string and random modules, combining digits, ASCII characters, letters, and punctuation to produce secure passwords of user-specified length.
Learn to build a python phone numbers tracer that extracts country code and national number, validates and checks possibility, and reports region, carrier, and time zone using phone numbers library.
Build a rock, paper, scissors game in Python using the random module and user input, implementing game rules and a while loop for replay.
Builds a UI-based dice roller simulator in Python, featuring a main window with labels and images, a roll button, and random image updates using PIL and a main loop.
Learn to create pencil sketches from images using Python and OpenCV by reading an image, converting it to grayscale, inverting, applying Gaussian blur, and blending for the final sketch.
Install Python 3.7 and download the required modules to build a chat bot. Use pip to install chat bot, chat bot corpus, and pv63, ensuring compatibility for smooth development.
Create a console-based chat bot by importing libraries, training with conversation data, and implementing a get response loop for user prompts, then add a text-to-speech feature to speak replies.
Create a graphical user interface for a chatbot using the TCA inter library, featuring a colorful chat window, image, scrollbar, user input, and get response logic.
Showcase a demo of a talking dictionary app that embodies generosity and the dream of being willing to give.
Create a talking dictionary UI in Python by initializing a root window and adding an input, a search button, and a chat area that converts text to audio.
Implement and test interactive buttons for a talking dictionary app in Python, including clear and exit actions, text-to-audio and word-to-audio features, and offline, button-driven audio playback.
Explore the search button in talking dictionary part 3 by loading json data, retrieving meanings, displaying them as bullets in a text area, and handling errors with a message box.
Enhance the talking dictionary app by using difflib get_close_matches for spelling suggestions, prompting 'did you mean' and updating the entry with the correct word, plus binding enter to search.
Delve into the top 15 Python interview questions, including shallow vs deep copy, multithreading with the global interpreter lock, NumPy vs lists, pickling, memory management, Django architecture, and first-class functions.
Advance in Python programming by building real life projects and practicing with examples. Embrace learning, stay connected on YouTube and Facebook, and treat failure as a first attempt in learning.
Welcome to the Master Python Programming!
Learn Python from a software developer. If you want to master Python and write efficient, elegant, and simple code, this is the course you've been looking for!
Even if you have no programming experience, this course will give you a super-strong foundation and teach you how to use Python to achieve any goal.
We've crafted every piece of content to be concise and straightforward, while never leaving you confused:
Hundreds of code-along videos with in-depth explanations
Dozens of presentations with animated diagrams
Quizzes
Coding exercises
Python projects for you to learn to make real Python applications
Why Choose THIS Course?
Get a broader and deeper experience in Python than with any other Udemy course on the market.
Start at zero and become an expert whilst learning all about the inner workings of Python.
Learn how to write professional Python code like a professional Python developer.
Embrace simplicity and develop good programming habits.
Create desktop GUIs using Tkinter, and turn them into executable applications you can share with non-technical users.
Who Is This Course For?
People interested in programming who have no prior programming experience
Beginners who have never programmed before.
Programmers with experience in other languages who want to kickstart their Python programming.
Programmers who know some Python but want to round off their skills and become truly proficient
What Am I Going to Get From This Course?
Lifetime access to over 10 project code-along lectures covering all aspects of Python, from the foundations to advanced concepts.
Milestone projects for you to complete throughout the course. These provide a challenge and an opportunity for you to apply what you've learned. We always go over the code after to show you how we would tackle them.
Quizzes and coding exercises for you to check your understanding.
High-quality help and support. Every year we personally help thousands of students. We don’t leave a single question unanswered.