
Explore how Python serves as an easy-to-learn, high-level language for database and cloud computing, GUI development, file and data processing, and computations in finance, math, physics, artificial intelligence.
***Installation part is almost the same for both Python 3.4.1 and Python 3.4.2. So, the images given below are fine.
In this course we will first start programming with Python’s integrated default development environment (IDLE) which you will get by default when we obtain Python from python.org .
Step-1: Go to https://www.python.org/downloads/release/python-342/
Step-2: There, depending on your operating system, choose the proper installer.
For example;
In my case: I am using Windows 8 - 64 operating system. So, I can either get the one for 32 bit or 64 bit Windows operating system. However, if I were using 32 bit operating system, I could only get the installer for 32 bit Windows operating system. It doesn't matter if you are using Windows 7 or 8; important thing is that your Windows operating system is 64-bit or 32-bit version. Anyways, I prefer to get the installer for Windows - 64 bit operating systems.
For MAC:
Mac OS X 10.5 and later:Mac OS X 32-bit i386/PPC installer
Mac OS X 10.6 and later:Mac OS X 64-bit/32-bit installer
Step-3: After you download the installer. Start installing Python on your computer. Installation process is quite simple as follows (The following is for 3.4.1; but, you will follow up the same procedure for 3.4.2 also.)
Finally, the installation is done.
Explore how to display a message in Python with the print() function. Create a new file, save it, and run the program to show 'start coding with Python' on screen.
Explore how data as parameters for the print function display on the screen, distinguishing string and numeric data. Learn when to frame data with quotation marks to avoid syntax errors.
Explore how Python uses the hash sign to create comments, explain code, and ignore lines, then practice debugging and using commands to disable code parts.
Explore Python variables for beginners, and learn how to assign string and integer values to message1 and number1, and how to pass these variables to the print function.
Identify variable types in Python by using the type() function and print() to display results, revealing integers and floats based on assigned values.
The lecture explains Python variable naming rules, including case sensitivity, valid identifiers starting with a letter or underscore and continuing with letters, underscores, or digits, and avoiding reserved words.
Practice basic arithmetic operators in Python by using number1=9 and number2=3 to compute submission as number1 plus number2, and display the result in a single line using comma-separated printing.
Learn how Python handles numeric types by introducing integers and floating point numbers, using variables, type checks, and print statements to display int and float values.
Learn how to declare Python strings using single, double, and triple quotes, ensure you use the same quote type, and print values and their types, including multiline strings.
Learn how to create and manipulate lists in Python, access elements by positive and negative indices, modify items, and inspect types using print and type functions.
Learn how tuples differ from lists, and why tuples are immutable. Access tuple elements by positive and negative indices, and recognize that lists are mutable.
Explore dictionaries as a python data type, learn to access values by unique keys, initialize dictionaries with curly-bracket syntax, and understand key uniqueness for proper retrieval.
# You can name the variable different.
# Instead of sample, you can name it as age or whatever you want.
sample = input("Please, enter your age : ")
print("Your age is ", sample, ".")
Explore how input returns strings, so entering two numbers yields string concatenation instead of numeric addition, and observe how types of number one, number two, and submission influence the result.
Convert user input from strings to integers using the int function and perform integer addition, showing that both inputs and the result are integers.
Convert input strings to floats using the float() function to fix type errors and correctly sum two numbers, avoiding error messages and misdisplayed results.
Master Python's core operators, including addition, subtraction, multiplication, division, modulus, exponents, and floor division, with hands-on examples and quick code execution to compare division and floor division results.
Learn how Python uses the boolean data type with true and false and apply not, and, or to evaluate truth values.
Explore Python conditional statements and the if statement, using true/false conditions and operators to control code execution and display messages when numbers equal one.
Master how to use else statements in if-else constructs to run alternative messages when conditions are false, with examples like not equal to one.
Master indentation in Python conditional statements by organizing code with indented blocks for if and else, and observe execution of lines under true, false, and independent conditions.
Explore membership operators in Python, using in and not in to test element membership. See true or false results through simple variables and runnable sample code.
Explore how while loops run code blocks as long as a condition is true, illustrated by a Python example that prints numbers from 0 to 100 by incrementing a counter.
Explore how to implement a for loop in Python using the range function to generate the sequence from 0 to 100 and display each integer.
Explore how to control for loops in Python programming by using continue, break, and pass statements, generate sequences with range, and display numbers while handling skips and termination.
Learn to implement an infinite loop with a while loop by asking for the password until the correct one is entered, then exit with a break and display access granted.
Review how to use Python functions, pass arguments, and capture return values with variables, then learn how to define new functions.
Explore language defined identifiers in Python, focusing on function definitions and accessing a function's docstring via its __doc__ attribute using double underscores, illustrated with a print example.
Learn how to implement a function that returns the sum of two arguments using parameters and the return statement, assign results to variables, and display them.
Learn to implement anonymous functions with the lambda keyword to return the sum of two arguments, and see examples showing inputs like 0, 3, and 5.
WHAT IS THIS COURSE ABOUT?
This course covers the basics of Python programming language and introduces how to use Python with the technologies introduced in this course.
WHAT IS GOING TO BE COVERED IN THIS COURSE?
Main topics to be introduced in this course as follows:
1- Basics of Python Programming Language
2- Object Oriented Programming, Inheritance, Garbage Collection
3- File Processing
4- Python with SQLite
5- Python for XML Related Tasks
6- HTML, CSS
7- Django
8- Cloud Computing & MongoDB
9- Tkinter
10- How To Use Python For Other Technologies, such as PIL and wxPython
WHY TAKE THIS COURSE?
Very importantly, this course does not only cover the basics of Python, but also introduces how to use Python for several tasks including graphical user interface, web, database, cloud computing etc. So, you will see where to start for other technologies and you will enjoy to see the result.
You don't need to be developer to take this course. The use of Python will make your computations or the development of the tools which you need to implement quite fast and easy.
This course provides support for the subscribers to help you get the correct answer for related questions.
Our objective is to teach hands-on programming for the learners to get a job ready-level in the market.