Programming
Get insights from 899 questions on Programming, answered by students, alumni, and experts. You may also ask and answer any question you like about Programming
- 899
Questions
- 2
Discussions
- 37
Active Users
- 34
Followers
Have a question about Programming? Ask our experts
Keep it short & simple. Type complete word. Avoid abusive language.
In Python, "branching" refers to the action of executing blocks of code based on whether certain conditions are met or not. This allows programs to take decisions and respond dynamically to various inputs or states.
Python contains only one kind of branch, the 'if' statement. If the predicate given
Upvote 
What are the generic subjects included in a python course?
After completing the Python course, one can acquire the skills of data science, web applications, and rapid application development. The main Python subjects are -
Python fundamentals and programming: It comprises functions, conditional execution, and loops, strings, lists and tuples, scopes an
Upvote Key Concepts in Python
Below are the essential concepts that you must know while learning Python.
| Key Concepts | Description |
|---|---|
| Variables | Store data values in the program. |
| Data Types | Built-in types of data like numbers, strings, lists, etc. |
| Operators | Special symbols in Python that carry out arithmetic or logical computation. |
| Conditional Statements | These are decision-making structures used to execute code based on certain conditions. |
| Loops | Control structures are used to repeat a block of code a certain number of times or until a certain condition is met. |
| Functions | A block of code that can be called multiple times in a program. |
| Classes and Objects | Classes are templates for creating objects, which are instances of a class. |
| Exception Handling | A mechanism to handle errors and exceptions that may occur in a program. |
| Modules and Packages | A way to organize code into reusable and separate units. |
Upvote Is programming knowledge essential for Data Engineering?
Well, yes. A strong hold over programming languages is very important for data engineers because they are involved in building data pipelines, working with complex datasets, and data cleaning, processing and automation tasks. None of this is possible without mastery in programming languages like Jav
Upvote | Company | Example or Use Case |
|---|---|
| Python is used in building Google's web crawlers and search algorithms., also used in the creation of the Google File System. | |
| Spotify | Python caters to data analysis and machine learning is used in creating personalized playlists and is also used for back-end services. |
| Netflix | Python is utilized for data analysis to improve the recommendation system, for personalization algorithms, and testing and deployment of their streaming platform. |
| Python is used for data analysis & machine learning in their news feed algorithm. | |
| Dropbox | Python helps back-end services and data analysis to enhance the performance of their file-sharing platform and implement file-syncing. |
Upvote Here is a table that lists different groups of people who would benefit from taking a Python course:
| Audience | Why Should You Enrol? |
|---|---|
| Beginners | Those with little or no programming experience want to learn how to code with Python. |
| Data Analysts and Data Scientists | Professionals who work with data and want to use Python for data analysis, visualization, and machine learning. |
| Developers and Engineers | Python is a versatile language that can be used for web development, software development, and system administration. |
| Web Developers | Developers who want to use Python to build web applications using frameworks such as Django or Flask. |
| Automation Enthusiasts | Professionals or hobbyists who want to use Python to automate repetitive tasks and improve efficiency. |
| Game Developers | Game developers who want to use Python to build games or scripts for game engines. |
Upvote There are several factors that you should consider when choosing a Python course. Here are a few things to consider:
| Criteria | Consideration |
|---|---|
| Goals | What do you want to achieve by learning Python? If you want to use it for data Science or machine learning, look for a course covering those topics. If you want to use it for web development, then look for a course that covers web frameworks such as Django or Flask. |
| Current Skills | What is your current level of programming experience? If you are new to programming, you may want to start with a beginner's course. If you have some programming experience, you may want to look for a course tailored to your expertise level. |
| Learning Style | How do you prefer to learn? Some people prefer video lectures, while others prefer interactive coding exercises. Some people prefer self-paced learning, while others prefer structured classes. Look for a course that fits your preferred learning style. |
| Cost | How much are you willing to spend on a course? Some courses are free, while others cost hundreds or thousands of dollars. Consider your budget and the value that you will get from the course. |
| Reputation | Look for a course with good reviews and a reputation for providing high-quality instruction. Consider the instructor's background and qualifications. |
Considering these factors, you can choose a Python course for your goals.
Upvote Following are some suggestions for an advanced level Python Projects:
A web scraper can extract and save data from a website to a file or database.
A simple web server that serves HTML and CSS files and can handle basic GET and POST requests.
A sentiment analysis tool that can classify text as positive
Upvote What can be some of the Top Python Projects for beginners?
Here are some of the beginner friendly Python Projects, that can enhance their skill set as well as make their resume stand out.
- A guessing game where the user has to guess a randomly generated number within a certain range.
A programme that generates a random quote from a collection of quotes.
A progr
Upvote Python was created in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands.
It was first released in 1991, but began as a hobby project.
Python 2.0 was released in 2000, and Python 3.0 in 2008
Python has been consistently updated and improved by the community
Pyt
Upvote