Python Introduction

Python Introduction

Congratulations!!! Welcome to Your Path of Learning new Skills

No matter what skill you’re aiming to learn—be it a new language, an instrument, coding, or any other pursuit—you’re beginning on a journey that can transform your life in unexpected and rewarding ways. Every skill you learn enriches your mind, expands your horizons, and equips you with new tools to navigate the world.

The path to learning is rarely a straight line. There will be moments of challenge, doubt, and even frustration. But remember, these moments are signs that you’re pushing your boundaries and growing. Progress might feel slow at times, but every effort you make brings you closer to your goal. Celebrate the small wins, stay curious, and embrace the process of learning itself.

Don’t fear mistakes—they’re not failures but stepping stones to understanding. Each attempt, successful or not, is an opportunity to refine your approach and build confidence. Stay committed, be patient with yourself, and trust the journey. The most important step you’ve taken is the first one: deciding to learn. So, whether you’re practicing a new skill for personal growth, professional development, or pure enjoyment, keep going. Keep learning, keep exploring, and remember that every effort brings you closer to the mastery you seek. The possibilities are limitless when you believe in your ability to learn and grow.

Python Introduction: Python is a popular programming language known for its simplicity and versatility.

Python is a high-level programming language that is easy to read and write, making it an excellent choice for people who are new to programming. It was created in the late 1980s and has since gained widespread popularity in various fields, including web development, data analysis, artificial intelligence, and more.

Here are some key characteristics and concepts to know:

1. Readable and Easy to Learn : Python’s syntax is designed to be human-readable, which means the code looks similar to plain English, making it accessible for beginners.
2. Interpreted Language : Python is an interpreted language, meaning you can write and run code directly without the need for a separate compilation step. This makes it quick and easy to test and debug your programs.
3. Versatile : Python can be used for a wide range of applications, including web development (with frameworks like Django and Flask), data analysis (using libraries like Pandas and NumPy), and automation of tasks.
4. Indentation Matters : Unlike many other programming languages that use braces or brackets to define blocks of code, Python uses indentation (whitespace) to indicate code blocks. This enforces a clean and consistent coding style.
5. Dynamic Typing : Python is dynamically typed, which means you don’t need to declare variable types explicitly. The interpreter infers the variable type based on the value assigned to it.
6. Large Standard Library : Python comes with a vast standard library that provides pre-built modules and functions for various tasks, reducing the need to reinvent the wheel.
7. Community and Resources : Python has a vibrant and supportive community, with a wealth of tutorials, documentation, and online forums where you can seek help and learn from others.

Python Software

If you already know some language like C, C++ or java or lotus etc., learning python would make you easy as you know the concepts in other languages which you can implement here.

To get started with Python, you’ll need to install the Python interpreter on your computer, which is freely available from the official Python website (python.org).

https://www.python.org/downloads/

There are different version of python as shown: Note that Python 3.9+ cannot be used on Windows 7 or earlier.

These site hosts the “traditional” implementation of Python (nicknamed CPython). A number of alternative implementations are available as well, namely

• IronPython (Python running on .NET)
• Jython (Python running on the Java Virtual Machine)
• PyPy (A fast python implementation with a JIT compiler)
• Stackless Python (Branch of CPython supporting microthreads)
• MicroPython (Python running on micro controllers)

Once installed, you can write Python code using a simple text editor or an integrated development environment (IDE) like PyCharm or Visual Studio Code.

link for Pycharm is given here you can install the community version free.

https://www.jetbrains.com/

Refer to our earlier article on how to install python.

How to install Python – OneGradeUp

Here’s a simple example of a Python program that prints “Hello !! Welcome to Python Learning!” to the screen:

print(" Hello !! Welcome to Python Learning ")

As you progress, you can explore more advanced topics like data types, control structures (if statements, loops), functions, object-oriented programming, and third-party libraries to expand your programming skills and build diverse applications. Python’s gentle learning curve makes it an excellent choice for beginners to start their programming journey.

Introducing to basic python codes.

The Following session shows the basic pythons codes which has been run by Jupyter IDE. Jupyter is a python notebook where we can execute the codes. Please click on the link above to see the code details in your computer. Google colab provides this feature in the web browser similar to the Jupyter notebook. You can connect these codes in Google colab and run the codes live and see the results.

you can start learning python using google colab to start studying.

To learn how to connect to google colab please read the section posts link given here : file read and write operation

Google colab may not work in phones, preferred to use computer or laptop. The python code block is embedded here in the below section. please scroll through the embedded page to see the complete content.

if you are using laptop, you can install anaconda which is a package of all the python libraries, need not worry about required library. Another option is to install Miniconda which is smaller version compared to Anaconda. Miniconda occupies less space as all the libraries are not installed here and you need to install the required library one by one using PIP command based on your use case.

Python lessons are described in other posts, go through the lessons: python-lesson1