PYTHON
TABLE OF CONTENT
Introduction to Python |
About This Course |
Why Python |
Python Source Code |
Python is Popular |
Python is Interpreted |
Python is Portable |
Features of Python |
Course Syllabus
Module 1: Introduction — Relationship between computers and programs — Basic principles of computers — File systems — Using the Python interpreter — Introduction to binary computation — Input / Output
Module 2: Data types and control structures — Operators (unary, arithmetic, etc.) — Data types, variables, expressions, and statements — Assignment statements — Strings and string operations — Control Structures: loops and decision
Module 3: Modularization and Classes — Standard modules — Packages — Defining Classes — Defining functions — Functions and arguments (signature)
Module 4: Exceptions and data structures — Data Structures (array, List, Dictionary) — Error processing — Exception Raising and Handling
Module 5: Object oriented design — Programming types — Object Oriented Programming — Object Oriented Design — Inheritance and Polymorphism
CONCLUSION
Introduction to python
Python is a dynamic, interpreted (byte code-compiled) language. There are no type declarations of variables, parameters, functions, or methods in source code. This makes the code short and flexible, and you lose the compile-time type checking of the source code. Python tracks the types of all values at runtime and flags code that does not make sense as it runs. An excellent way to see how Python code works is to run the Python interpreter and type code right into it.
About This Course
If you’re looking for a programming language that’s flexible and easy to read, try learning python. It’s one of the most popular languages today, and programming in python is used for everything from web and software development to data science and analytics to quality assurance.
Why Python
Python designed with features to facilitate data analysis and visualization. Python’s simple syntax makes it easy to learn which reduces the cost of program maintenance.
Python has a healthy community of enthusiasts that strive every day to make the language better by fixing bugs and opening new possibilities. It also enjoys strong support from the world’s largest corporations. One of them is Google. They are actively working on create more
At a close, Python undeniably will be necessary expertise. And the need for skilled technicians is likely to increase, making it a good long-term bet for a career. Become a Python Developer, Research Analyst, Data Analyst, and Data Scientist with our Python Live Sessions. Get deep insights into the functioning of various methods of teaching and get our live experts supports.
Python source code
Python source files use the “.py” extension and are called “modules.” With a Python module hello.py, the easiest way to run it is with the shell command “python hello.py Alice” which calls the Python interpreter to execute the code in hello.py, passing it the command line argument “Alice”.
Python is Popular
Python has been growing in popularity over the last few years. The 2018 Stack Overflow Developer Survey ranked Python as the 7th most popular and the number one most wanted technology of the year. World-class software development companies around the globe use Python every single day.
According to research by Dice Python is also one of the hottest skills to have and the most popular programming language in the world based on the Popularity of Programming Language Index.
Due to the popularity and widespread use of Python as a programming language, Python developers are sought after and paid well. If you’d like to dig deeper into Python salary statistics and job opportunities, you can do so here.
Python is Interpreted
Many languages are compiled, meaning the source code you create needs to be translated into machine code, the language of your computer’s processor, before it can be run. Programs written in an interpreted language are passed straight to an interpreter that runs them directly.
This makes for a quicker development cycle because you just type in your code and run it, without the intermediate compilation step.
One potential downside to interpreted languages is execution speed. Programs that are compiled into the native language of the computer processor tend to run more quickly than interpreted programs. For some applications that are particularly computationally intensive, like graphics processing or intense number crunching, this can be limiting.
In practice, however, for most programs, the difference in execution speed is measured in milliseconds, or seconds at most, and not appreciably noticeable to a human user. The expediency of coding in an interpreted language is typically worth it for most applications.
Python is Portable
Because Python code is interpreted and not compiled into native machine instructions, code written for one platform will work on any other platform that has the Python interpreter installed. (This is true of any interpreted language, not just Python.
Features in Python
1. Free and Open Source
2. Easy to code
3. Easy to Read
4. Object-Oriented Language
5. GUI Programming Support
6. High-Level Language
7. Large Community Support
8. Easy to Debug
9. Python is a Portable language
10. Python is an Integrated language
11. Interpreted Language
12. Large Standard Library
13. Dynamically Typed Language
14. Frontend and backend development
15. Allocating Memory Dynamically
Course Syllabus
- Hello world program
- Numbers and Math operations
- Common Errors in Python
- Variables and Names
- String Basics
- Conditional Statements
- Functions
- For and while Loop
- Functions as Arguments
- List
- Tuple
- Dictionaries
- List Comprehension
- File Handling
- Debuggingin python
- Class and objects
- Lambda, Filters and Maps
- Python PIP
- Read Excel Data in Python
- Python MySQL
- Iterator
- Pickling
- Python JSON
Conclusion
This section gave an overview of the Python programming language, including:
- A brief history of the development of Python
- Some reasons why you might select Python as your language of choice
Python is a great option, whether you are a beginning programmer looking to learn the basics, an experienced programmer designing a large application, or anywhere in between. The basics of Python are easily grasped, and yet its capabilities are vast.
Proceed to the next section to learn how to acquire and install Python on your computer.