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This video is the introductory video of "complete python programming course".
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This lesson explains you about what is Python and why you should choose Python as a Programming Language.
This lesson explains you how should you study this course.
Lesson keywords: "python", "python programming", "python for beginners", "python 3", "python programming", "complete python", "python course".
This lecture introduces how to download and install the Jupyter Notebook for Python programming development.
Lesson keywords: "python", "python programming", "python for beginners", "python 3",
"python programming", "complete python", "jupyter", "jupyter notebook", "anaconda".
This document shows how to install the Jupyter notebook into your computer step by step.
Lesson
keywords: "python", "python programming", "python for beginners",
"python 3",
"python programming", "complete python", "jupyter", "jupyter notebook", "anaconda".
In this lesson, we have discussed that should we use Python 2 or Python 3.
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"python programming", "complete python", "python 2-3", "python 2 vs python 3 comparison".
This lecture introduces how to download and install Python.
Lesson keywords: "python", "python programming", "python for beginners", "python 3",
"python programming", "complete python".
In this lesson, we are going to see Python IDE selection and which is the best IDE for developing Python programming.
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This document shows you how to setup PyCharm ide into your computer.
Lesson keywords: "python", "python programming", "python for beginners", "python 3", "python programming", "complete python", "python ide", "pycharm", "notepad++", "sublime text editor", "sublime text 3", "python ide installation notes".
This lecture shows that how to setup sublime text editor program as a python development environment.
Lesson keywords: "python", "python programming", "python for beginners", "python 3", "python programming", "complete python", "python ide", "pycharm", "sublime text editor", "sublime text 3", "python ide installation".
This Python tutorial covers how to use the Jupyter Notebook in detail.
Lecture keywords: "python", "python programming", "python tutorial", "complete python", "complete python bootcamp", "python IDE", "jupyter", "jupyter notebook", "jupyter notebook installation".
Learn about Python data types by exploring integers and floating point numbers, perform basic math operations like addition, subtraction, multiplication, and division, and understand expressions in Python.
Master Python math operators, including floor division, modulus, exponentiation, and negation, and apply operator precedence and parentheses to verify calculations.
Learn Python string basics, including slicing with start, end, and step. Explore reversing, length with len, immutability, and string concatenation and replication.
Master the Python print function to display values, format outputs, and manage separators with the sep parameter, while combining strings, numbers, and variables using escape characters and the concatenation operator.
Learn Python string formatting with the format() function, placing integers, floats, and strings into curly brackets and practicing zero-based indices.
Explore Python list methods such as append, pop, del, and sort, including reverse, to add, remove, and organize items. Learn to use nested lists and index access to reach values.
Learn how to create and manipulate Python dictionaries, access and modify items, handle nested dictionaries, and use core methods like keys, values, and items for efficient data management.
Learn how to convert Python data types, such as integers, floats, strings, lists, tuples, and dictionaries, using int, float, and str, with practical examples and common pitfalls.
Learn to get user input in Python with the input function, store values in variables, and convert strings to integers for arithmetic. Handle input errors with clear messages and examples.
Explore booleans and the bool data type, then learn six comparison operators—equal, not equal, greater than, smaller than, greater or equal, and smaller or equal—for Python conditional logic.
Explore how to combine conditions with Python's logical operators—and, or, not—using comparisons to control flow, left-to-right evaluation, and parentheses to ensure accuracy.
Learn how to use Python loops to repeat code blocks, mastering for and while loops and their key keywords, with practical examples like login prompts and ATM operations.
Learn the range function for for loops, generating sequences with configurable start, stop, and step values, while understanding exclusive end and backwards iteration.
Use the continue statement to skip the rest of the loop for the iteration without ending the loop, illustrated by skipping 4 and 7 in a 0 to 10 range.
Learn how the pass statement acts as a null operation to placeholder code inside loops and conditionals, enabling empty classes or unfinished algorithms to run without errors.
Learn list comprehensions in Python to create lists concisely, replacing long for loops and append, with examples from simple lists, filtering with if, unpacking tuples, and nested list handling.
Explore functions and methods in Python, learn how objects and data types use dot notation, and practice with real-life examples, including lists, append, insert, sort, and pop.
Explore how Python functions streamline code, from built-in helpers to user-defined and lambda functions, and learn to define with def, call, and reuse functions.
Learn how to define and call Python functions with and without parameters, pass arguments, and create simple examples like greet, sum, and factorial functions.
Explore global and local variables in Python and the scope of functions. Learn how local variables disappear after function execution and how global variables are accessible, including the global keyword.
In this lesson, you will learn what the exceptions are in Python.
Explore try, except, and else statements in Python. Learn how the else block runs when no exception occurs and how to handle negative input.
Learn to raise exceptions in Python using the raise keyword, specify error types and messages, and see a square root example. Practice handling ValueError with try/except and custom messaging.
In this lesson, you will learn what the modules are in Python.
In this lesson, you will learn to create and import custom modules in Python. Also, you will find different techniques to import and use custom and built-in modules in Python.
Develop a Python guess the number game using random and time modules, with loops, exception handling, and input validation, and explore the binary search technique.
In this lesson, our students going to learn how to open and close a file using Python programming.
In this lesson, our students going to learn how to write to files using Python programming.
In this lesson, our students going to learn how to read information from files using Python programming.
Learn how to modify files in Python using r+ and append modes, with seek, write, and read methods. It covers inserting, overwriting, and appending lines and using readlines and writelines.
Would you like to become a job-ready Python Programmer or advance your existing Python skills?
Then this is the "right" course for you!
Welcome to the most comprehensive, practical, and well-organized "Python 3" Programming course on Udemy.
You'll be learning Python from scratch with this Professionally Designed Python Programming Course!
Become an Expert Python Programmer and learn one of the employers' most demanded skills of 2022!
If you have no previous knowledge or experience in Python programming, don't worry you will like that the course begins with Python basics. Even if you have some experience in programming in Python, this course can help you learn some new information you had missed before. Each section of the course is linked to the previous one in terms of utilizing what was already learned and each topic is supplied with lots of examples that will help students in their process of learning. Upon the completion of this course, you should be able to write programs that have real-world examples.
What I think is the best about this course is that you can search questions others have had, post your own questions, and get answers to challenges you are currently facing in learning and using Python programming.
Here is the list of topics that you’ll learn by the end of the course:
Command Line Basics
Installing Python
Installing various Python IDEs
Running Python Code
Python Strings
Python Lists
Python Dictionaries
Python Tuples
Python Sets
Python Number Data Types
Python Output Formatting
Python Conditional Statements
Python Loops
Python Functions
Python Function's Scope
Python args/kwargs
Python Built-in Functions
Python Debugging and Error Handling
Python Modules
Python External Modules
Object-Oriented Programming Concepts in Python (OOP Python)
Functional Programming in Python
Python Inheritance
Python Polymorphism
Python Iterator
Python Decorator
Python Generator
Python Yield
Python File I/O Operations
Python Advanced Data Structures
Working with Databases in Python
And much more!
If you have any suggestions on topics that have not been covered, you can send them via private message.
We will do our best to cover them as soon as possible.
You'll also get:
Lifetime Access to The Course
Working Document for Each Lesson
Fast & Friendly Support in the Q&A Section
Udemy Certificate of Completion Ready for Download!
No-Risk – Money-Back Guarantee:
Finally, there is no risk. You can preview 10% of the course for free. Once you purchase the course, if for some reason you are not happy with the course, Udemy offers a 30-day money-back guarantee.
So, you have nothing to lose, sign up now for this great Python programming course, and learn how to write your Python programs easily from scratch to master level!
Hope to see you on the course soon and I hope you will enjoy your time learning as much as I have!
So what are you waiting for?
We'll see you in the next lecture!