Python Tutorial - Learn Python

Python is a popular, high-level, general-purpose programming language known for its simple syntax that emphasizes code readability. It was created by Guido van Rossum in the late 1980s.

Python is very simple to write and read. Its syntax (rules) is very clear and English-like, so even beginners can learn it quickly. Also, it has many ready-made libraries and frameworks, which can be used for web development, data science, artificial intelligence, machine learning, automation, and game development.

Today, Python is one of the most popular programming languages ​​in the world and is being used everywhere from the IT industry to scientific research.

History of Python

• Late 1980s – Guido van Rossum started creating Python at CWI in the Netherlands. His aim was to create a programming language that was as easy as ABC and as powerful as C.
• 1991 – The first version of Python (0.9.0) came out. It already had features like functions, exceptions, strings, and lists.
• 1994 – Python 1.0 was released, which introduced modules and better error handling.
• 2000 – Python 2.0 came out. It added things like list comprehensions and garbage collection.
• 2008 – Python 3.0 was released. It fixed old bugs and made the language more consistent. But it was not backward compatible with Python 2.
• 2020 – Python 2's official support was discontinued. Now Python 3 has become the standard.
• Today, Python is counted among the top programming languages ​​in the world. It is used extensively in AI, automation, web development, and many other fields.

Python Use Cases with Real-World Examples

1. Web Development

Python is widely used in web development. Frameworks like Django and Flask make building a complete website easy and fast.
Example: Instagram runs on Django, and thanks to Python, it can smoothly handle millions of users daily.

2. Data Analysis

Python is most commonly used in data analysis. Tools like Pandas and NumPy process data in seconds.
Example: Netflix uses Python to analyze viewer data and provide recommended shows.

3. Automation

Python scripts easily automate repetitive tasks in daily life. Renaming a file, sending an email, or checking servers can all be done with a script.
Example: Google engineers use Python for system automation to save time.

4. Machine Learning

Python is the most popular choice for machine learning because libraries like TensorFlow and PyTorch make it easy to build models.
Example: NASA trains image recognition models for Mars rovers in Python, allowing the rover to automatically determine which stone is which.

5. Game Development

The Pygame library in Python is widely used for creating simple, 2D games.
Example: Large games like EVE Online use Python scripting to control internal systems.

6. Scientific Computing

Heavy calculations and simulations in science are performed much faster with Python. Tools like SciPy help solve complex equations.
Example: CERN researchers use Python to process massive data on particle collisions, allowing them to obtain faster results.

Is Learning Python a Safe Career?

Yes, learning Python secures a strong career path. Demand for Python skills grows steadily. In 2025, Stack Overflow's survey shows Python as the most wanted language. Over 70% of developers use it. This popularity stems from its versatility across fields.

Data Science heavily relies on Python, and data science jobs pay well. Python roles average $120,000 yearly in the US, per Indeed data. Companies like Amazon hire Python devs for AI projects.

Automation rises, boosting Python's role. Scripts replace repetitive jobs. Uber automates ride matching with Python. This efficiency creates demand for Python coders.

Risks exist if you stop learning.

In summary, Python offers a reliable future. Its widespread use in tech giants proves this.