The Python Language Reference¶
This reference manual describes the syntax and “core semantics” of the language. It is terse, but attempts to be exact and complete. The semantics of non-essential built-in object types and of the built-in functions and modules are described in The Python Standard Library . For an informal introduction to the language, see The Python Tutorial . For C or C++ programmers, two additional manuals exist: Extending and Embedding the Python Interpreter describes the high-level picture of how to write a Python extension module, and the Python/C API Reference Manual describes the interfaces available to C/C++ programmers in detail.
- 1. Introduction
- 1.1. Alternate Implementations
- 1.2. Notation
- 2.1. Line structure
- 2.2. Other tokens
- 2.3. Identifiers and keywords
- 2.4. Literals
- 2.5. Operators
- 2.6. Delimiters
- 3.1. Objects, values and types
- 3.2. The standard type hierarchy
- 3.3. Special method names
- 3.4. Coroutines
- 4.1. Structure of a program
- 4.2. Naming and binding
- 4.3. Exceptions
- 5.1. importlib
- 5.2. Packages
- 5.3. Searching
- 5.4. Loading
- 5.5. The Path Based Finder
- 5.6. Replacing the standard import system
- 5.7. Package Relative Imports
- 5.8. Special considerations for __main__
- 5.9. References
- 6.1. Arithmetic conversions
- 6.2. Atoms
- 6.3. Primaries
- 6.4. Await expression
- 6.5. The power operator
- 6.6. Unary arithmetic and bitwise operations
- 6.7. Binary arithmetic operations
- 6.8. Shifting operations
- 6.9. Binary bitwise operations
- 6.10. Comparisons
- 6.11. Boolean operations
- 6.12. Assignment expressions
- 6.13. Conditional expressions
- 6.14. Lambdas
- 6.15. Expression lists
- 6.16. Evaluation order
- 6.17. Operator precedence
- 7.1. Expression statements
- 7.2. Assignment statements
- 7.3. The assert statement
- 7.4. The pass statement
- 7.5. The del statement
- 7.6. The return statement
- 7.7. The yield statement
- 7.8. The raise statement
- 7.9. The break statement
- 7.10. The continue statement
- 7.11. The import statement
- 7.12. The global statement
- 7.13. The nonlocal statement
- 8.1. The if statement
- 8.2. The while statement
- 8.3. The for statement
- 8.4. The try statement
- 8.5. The with statement
- 8.6. The match statement
- 8.7. Function definitions
- 8.8. Class definitions
- 8.9. Coroutines
- 9.1. Complete Python programs
- 9.2. File input
- 9.3. Interactive input
- 9.4. Expression input
Python Tutorial
This Python Tutorial is very well suited for Beginners, and also for experienced programmers with other programming languages like C++ and Java. This specially designed Python tutorial will help you learn Python Programming Language in the most efficient way, with topics from basics to advanced (like Web-scraping, Django, Deep-Learning, etc.) with examples.
What is Python?
Python is a high-level, general-purpose, and very popular programming language. Python programming language (latest Python 3) is being used in web development, Machine Learning applications, along with all cutting-edge technology in Software Industry.
Python language is being used by almost all tech-giant companies like – Google, Amazon, Facebook, Instagram, Dropbox, Uber… etc.
The biggest strength of Python is huge collection of standard library which can be used for the following:
- Machine Learning
- GUI Applications (like Kivy, Tkinter, PyQt etc. )
- Web frameworks like Django (used by YouTube, Instagram, Dropbox)
- Image processing (like OpenCV, Pillow)
- Web scraping (like Scrapy, BeautifulSoup, Selenium)
- Test frameworks
- Multimedia
- Scientific computing
- Text processing and many more..
Why Learn Python?
Python is currently the most widely used multi-purpose, high-level programming language, which allows programming in Object-Oriented and Procedural paradigms. Python programs generally are smaller than other programming languages like Java. Programmers have to type relatively less and the indentation requirement of the language, makes them readable all the time.
Getting Started with Python Tutorial
Here are the important topics that come under Python. After completing all the important topics, you’ll have a basic understanding of the Python programming language:-
Python Basics
- Python language introduction
- Python 3 basics
- Python The new generation language
- Important difference between python 2.x and python 3.x with example
- Keywords in Python | Set 1, Set 2
- Namespaces and Scope in Python
- Statement, Indentation and Comment in Python
- Structuring Python Programs
- How to check if a string is a valid keyword in Python?
- How to assign values to variables in Python and other languages
- How to print without newline in Python?
- Decision making
- Basic calculator program using Python
- Python Language advantages and applications
Input/Output
