Top 10 Reasons to Learn Python in 2022 | Python Programming | Python Training

 

What is Python?

Python is a popular programming language. It was created by Guido van Rossum, and released in 1991.

It is used for:

  • web development (server-side),
  • software development,
  • mathematics,
  • system scripting.

What can Python do?

  • Python can be used on a server to create web applications.
  • Python can be used alongside software to create workflows.
  • Python can connect to database systems. It can also read and modify files.
  • Python can be used to handle big data and perform complex mathematics.
  • Python can be used for rapid prototyping, or for production-ready software development.

Why Python?

  • Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
  • Python has a simple syntax similar to the English language.
  • Python has a syntax that allows developers to write programs with fewer lines than some other programming languages.
  • Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
  • Python can be treated in a procedural way, an object-oriented way or a functional way.

Good to know

  • The most recent major version of Python is Python 3, which we shall be using in this tutorial. However, Python 2, although not being updated with anything other than security updates, is still quite popular.
  • In this tutorial, Python will be written in a text editor. It is possible to write Python in an Integrated Development Environment, such as Thonny, Pycharm, Netbeans, or Eclipse which are particularly useful when managing larger collections of Python files.

Python Syntax compared to other programming languages

  • Python was designed for readability and has some similarities to the English language with influence from mathematics.
  • Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses.
  • Python relies on indentation, using whitespace, to define scope; such as the scope of loops, functions, and classes. Other programming languages often use curly brackets for this purpose.
Course Post Links:

Basic:

    1. Python Syntax
    2. Python Comments
    3. Python Variables
    4. Python Data Types
        1. Python Numbers | Data Types
        2. Python List | Data Types
        3. Python Tuple | Data Types
        4.  Python Dict | Data Types
        5. Python Set | Data Types
        6. Python FrozenData | Data Types
        7. Python Range | Data Types
        8. Python Bool | Data Types
        9. Python Bytes | Data Types
        10. Python Bytearray | Data Types
        11. Python Memoryview | Data Types
    5. Python Casting
    6. Python Strings
        1. Strings Slicing
        2. Modify Strings
        3. Strings Concatenation
        4. Format - Strings
        5. Escape Characters
        6. String Methods | Part 1
        7. String Methods | Part 2
        8. String Methods | Part 3
        9. String Methods | Part 4
        10. String Methods | Part 5
        11. String Exercises
    7. Python Booleans
    8. Python Operators
    9. Python Lists
    10. Python Tuples
    11. Python Sets
    12. Python Dictionaries
    13. Python If ... Else
    14. Python While Loops
    15. Python For Loops
    16. Python Functions
    17. Python Lambda
    18. Python Arrays
    19. Python Classes and Objects
    20. Python Inheritance
    21. Python Iterators
    22. Python Scope
    23. Python Modules
    24. Python Datetime
    25. Python Math
    26. Python JSON
    27. Python RegEx
    28. Python PIP
    29. Python Try Except
    30. Python User Input
    31. Python String Formatting

File Handling:
    1. Python File Open
    2. Python Read Files
    3. Python File Write
    4. Python Delete File
Python Modules:

    1. NumPy Tutorial
    2. Pandas Tutorial
    3. SciPy Tutorial

Python Matplotlib:

    1. Matplotlib Getting Started
    2. Matplotlib Pyplot
    3. Matplotlib Plotting
    4. Matplotlib Markers
    5. Matplotlib Line
    6. Matplotlib Labels and Title
    7. Matplotlib Adding Grid Lines
    8. Matplotlib Subplots
    9. Matplotlib Scatter
    10. Matplotlib Bars
    11. Matplotlib Histograms
    12. Matplotlib Pie Charts 

Python for Machine Learning:

    1. Machine Learning
    2. Machine Learning - Mean Median Mode
    3. Machine Learning - Standard Deviation
    4. Machine Learning - Percentiles
    5. Machine Learning - Data Distribution
    6. Machine Learning - Normal Data Distribution
    7. Machine Learning - Scatter Plot
    8. Machine Learning - Linear Regression
    9. Machine Learning - Polynomial Regression
    10. Machine Learning - Multiple Regression
    11. Machine Learning - Scale
    12. Machine Learning - Train/Test
    13. Machine Learning - Decision Tree

 Python MySQL:

    1. MySQL Get Started
    2. Python MySQL Create Database
    3. Python MySQL Create Table
    4. Python MySQL Insert Into Table
    5. Python MySQL Select From
    6. Python MySQL Where
    7. Python MySQL Order By
    8. Python MySQL Delete From By
    9. Python MySQL Drop Table
    10. Python MySQL Update Table
    11. Python MySQL Limit
    12. Python MySQL Join

Python MongoDB:

    1. MongoDB Started
    2. Python MongoDB Create Database
    3. Python MongoDB Create Collection
    4. Python MongoDB Insert Document
    5. Python MongoDB Find
    6. Python MongoDB Query
    7. Python MongoDB Sort
    8. Python MongoDB Delete Document
    9. Python MongoDB Drop Collection
    10. Python MongoDB Update
    11. Python MongoDB Limit

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