
Assistant Professor in Electronics and communication Engineering, with master degree (M.Tech) in Embedded Systems and B.Tech In Electronics and Communication Engineering.
Highly skilled, performance driven individual with 4 plus years of experience in Teaching and IT sector. Committed to providing students with the necessary knowledge to achieve academic goals. currently working as instructor in Electronics department.Content Creator on YouTube(170K + subscribers)– Creating videos on Career Guidance, Electronics Subjects.
In this part we will learn about the introduction about python language, also we will learn to download the free IDE for learning basic coding of python.
Python is a high-level, interpreted programming language known for its simplicity, readability, and flexibility. It's widely used in web development, data science, machine learning, automation, scripting, and more.
Key Features of Python
Easy to Learn Clean syntax similar to English.
Interpreted No need to compile; runs line by line.
Dynamically Typed No need to declare variable types.
Cross-Platform Works on Windows, Mac, Linux.
Extensive Libraries Huge standard library and third-party modules.
Object-Oriented Supports OOP (classes, objects, inheritance, etc.).
Versatile Used in AI, web, automation, scripting, etc.
Learn to write your first Python program by setting up PyCharm, creating a project and file, and using print statements, user input, and formatted prints.
In Python, arithmetic operations are basic mathematical operations you can perform using operators. Here's a summary of the main arithmetic operations:
Basic Arithmetic Operators
Operation Symbol Example Result
Addition + 3 + 2 5
Subtraction - 5 - 3 2
Multiplication * 4 * 2 8
Division / 10 / 2 5.0
Floor Division // 7 // 2 3
Modulus (Remainder) % 7 % 2 1
Exponentiation ** 2 ** 3 8
Learn to build a Python money counter that converts user-entered quarters, dimes, nickels, and pennies into dollars, using input, integer handling, and optional float casting.
Learn to compute sum, average, min, and max of numbers in Python by collecting input into a list and using sum, min, max, and length-based average.
Learn to build a Python mpg calculator that computes miles per gallon, total cost, and cost per mile, with rounding to selected decimals.
A prime number is a natural number greater than 1 that has exactly two distinct positive divisors:
1
Itself
In Simple Terms:
A prime number can only be divided evenly by 1 and itself — no other number.
Examples of Prime Numbers:
2 (Only divisible by 1 and 2)
3 (Only divisible by 1 and 3)
5 (Only divisible by 1 and 5)
7
11, 13, 17, 19, 23, 29, ...
Note: 2 is the only even prime number. All other even numbers are divisible by 2, so they’re not prime.
In programming, data type is an important concept.
Variables can store data of different types, and different types can do different things.
Python has the following data types built-in by default, in these categories:
Text Type: str
Numeric Types: int, float, complex
Sequence Types: list, tuple, range
Mapping Type: dict
Set Types: set, frozenset
Boolean Type: bool
Binary Types: bytes, bytearray, memoryview
None Type: NoneType
In Python, a list is a built-in data type used to store multiple items in a single variable. Lists are ordered, mutable (can be changed), and can contain items of different types (integers, strings, even other lists).
| Operation | Description |
| --------------- | -------------------------------- |
| Add item | Adds to the end |
| Insert item | Inserts at index |
| Remove item ` | Removes first match |
| Delete by index | Deletes specific index |
| Pop item | Removes last item and returns it |
| Length | Number of items |
| Check item | Returns `True` if item exists |
Learn advanced list operations in Python, including creating lists, indexing, appending, iterating with for loops, if-else checks for membership, sorting by default and by length, and slicing.
In Python, a string is a sequence of characters enclosed in quotes — either single (') or double (").
Build a word properties program that analyzes a user entered word, returning length, first and last letters, the first three letters, and the reversed word for use in larger applications.
Dictionaries are used to store data values in key:value pairs.
A dictionary is a collection which is ordered, changeable and do not allow duplicates.
As of Python version 3.7, dictionaries are ordered. In Python 3.6 and earlier, dictionaries are unordered.
Dictionaries are written with curly brackets, and have keys and values:
Tuples are used to store multiple items in a single variable. Tuple is one of 4 built-in data types in Python used to store collections of data, the other 3 are List, Set, and Dictionary, all with different qualities and usage. A tuple is a collection which is ordered and unchangeable. Tuples are written with round brackets.
In Python, an if statement is used for conditional execution. It allows you to execute a block of code only if a specific condition is True.
With the while loop we can execute a set of statements as long as a condition is true.
A for loop is used for iterating over a sequence (that is either a list, a tuple, a dictionary, a set, or a string).
This is less like the for keyword in other programming languages, and works more like an iterator method as found in other object-orientated programming languages.
With the for loop we can execute a set of statements, once for each item in a list, tuple, set etc.
In Python, a function is a reusable block of code that performs a specific task. You define a function using the def keyword.
Syntax:
def function_name(parameters):
code block
return result
Example 1: Simple function without parameters
def say_hello():
print("Hello!")
say_hello()
Functions help you avoid repeating code.
You can define a function once and call it many times.
Python also supports lambda functions (anonymous functions) for small tasks.
The Fibonacci series is a sequence where each number is the sum of the two preceding ones, starting from 0 and 1.
Fibonacci Series Example:
0, 1, 1, 2, 3, 5, 8, 13, 21, 34, ...
Master handling user input and exceptions in Python, including common errors like value errors, zero division, index and key errors, with strategies for validation and clear error messages.
Explore Python error handling with try, except, and finally, including multiple and combined exceptions for value, zero division, type, and overflow errors, plus else and finally blocks.
Learn to reverse a string in Python using a simple slice operation [::-1]. Prompt for input, store it, and print the reversed result, applicable for extracting characters in many applications.
Explore the Python random module, including importing random and generating numbers with random, random.randint, random.uniform, and selecting, sampling, or shuffling with random.choice, random.sample, and random.shuffle.
Learn to handle files in Python by writing, reading, and appending to text files, then read line by line and count words to manage data in projects.
Learn the basics of object oriented programming in Python, covering classes and objects, attributes and methods, and key concepts like encapsulation, inheritance, polymorphism, and abstraction.
Explore data abstraction in Python by hiding complex details behind an abstract base class and abstract methods. See how abstraction, inheritance, and encapsulation boost reusability and modularity.
Create a basic Python class with name and breed attributes and a bark method, using a constructor to initialize values and instantiate dog objects.
Demonstrate a class-based decimal-to-binary conversion in Python, with a main program and a converter class using a get_result method to display the binary output.
Convert a user's Celsius input to Fahrenheit using the standard formula, reading the value as a float and printing the Celsius and Fahrenheit results with formatted output.
Create a Python multiplication table using a for loop, iterating outer and inner numbers from 1 to 5 (and up to ten) and printing the product with a printf statement.
The lecture guides building a Python password validator that enforces minimum length seven and presence of uppercase, lowercase, and digits using boolean flags and a loop.
Convert a user input word into a list of characters, shuffle its letters with the random module, rejoin them into a scrambled word, and print the original and scrambled word.
Python is an ideal first language because it’s easy to learn, widely used, versatile, and opens the door to many areas of technology. Starting with Python helps build a solid foundation for a long-term programming journey.
Python is often recommended as the first programming language for beginners,because,
1. Simple and Readable Syntax
Python's syntax is clean and close to plain English, which makes it easier to understand and write, especially for beginners. You don’t need to worry about complex punctuation or boilerplate code just to get started.
Compare that to Java or C++, which require more setup even for simple tasks.
2. Widely Used and In-Demand
Python is one of the most popular programming languages today, used in industries like:
Web development
Data science
Machine learning
Automation
Cybersecurity
Game development
Learning Python first means you're starting with a language that has practical, real-world applications and excellent job prospects.
3. Large Supportive Community
Python has a massive global community. For beginners, this means:
Tons of tutorials and courses
Active forums like Stack Overflow and Reddit
Abundant libraries and tools
You're never alone when you get stuck.
4. Great for Learning Programming Concepts
Python helps you understand core programming ideas such as:
Variables and data types
Loops and conditionals
Functions
Object-oriented programming
These concepts are transferable to almost any other language, making it easier to pick up Java, C++, or JavaScript later.
5. Versatility and Cross-Platform Compatibility
Python works on all major operating systems (Windows, macOS, Linux) and is used in everything from basic scripts to complex systems. As a beginner, you can experiment across a wide range of fields without switching languages.
6. Excellent Educational Resources
This course emphasizes problem-solving techniques in software development using the Python programming language. It covers key concepts such as data structures, program design, pseudocode, control structures, functions and procedures, error handling, and object-oriented programming. Students will complete hands-on assignments using Python in a modern Integrated Development Environment (IDE).