Python is general-purpose, high-level, interpreted, interactive, object-oriented, and open-source. It is suitable primarily for software development. Without any complex prerequisites, the Python course syllabus demands students to be patient, attentive, and have basic programming knowledge. Additionally, the aspirants must possess the analytical ability to become a successful programmer.
If you want to learn and grow your skills, enroll in an online Python course; the perfect way to learn this programming language. But where should you start learning Python? What is the Python course syllabus? How much time and cost does it take to master Python?
Let’s answer all these questions and more in this comprehensive guide to Python course details for 2024.
What is Python Programming?
Python is a popular and versatile programming language that is widely used for a variety of purposes, including web development, data analysis, scientific computing, automation, and more.
It’s often recommended for beginners because of its readability and simplicity, making it an excellent choice for people who are new to programming.
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Uses of Python
Here are some of the common applications and use cases of Python:
1. Web Development:
Python is used for building web applications and websites using frameworks like Django, Flask, and Pyramid.
It can be used for both server-side and client-side scripting.
2. Data Analysis and Visualization:
Python, along with libraries like NumPy, pandas, and Matplotlib, is widely used for data analysis, manipulation, and visualization.
3. Machine Learning and Artificial Intelligence:
Python is the preferred language for machine learning and AI projects. Libraries like TensorFlow, Keras, PyTorch, and scikit-learn are commonly used.
It’s used for tasks such as natural language processing, computer vision, and predictive modeling.
4. Scientific Computing:
Python is used in scientific research and engineering for simulations, numerical analysis, and scientific computing tasks.
Libraries like SciPy and SymPy are used for scientific and mathematical applications.
5. Automation and Scripting:
Python is excellent for automating repetitive tasks, managing files, and scripting.
It’s often used for tasks like data extraction, text processing, and system administration.
6. Game Development:
Python is used in game development, especially for creating 2D games, with libraries like Pygame.
7. Desktop Applications:
Python can be used to create cross-platform desktop applications using libraries like Tkinter, PyQt, and Kivy.
8. IoT (Internet of Things):
Python is used in IoT projects for device communication, data collection, and control of smart devices.
9. Web Scraping:
Python is a popular choice for web scraping and extracting data from websites using libraries like BeautifulSoup and Scrapy.
10. Database Management:
Python is used to interact with various databases, including MySQL, PostgreSQL, and MongoDB.
11. Networking:
Python is used for network programming and building network applications.
12. Robotics:
Python is used in robotics for programming and controlling robots and drones.
13. Financial and Quantitative Analysis:
Python is used in the finance industry for quantitative analysis, algorithmic trading, and risk management.
14. Natural Language Processing (NLP):
Python is essential for NLP tasks, including sentiment analysis, chatbots, and language translation.
15. Audio and Music Applications:
Python can be used for audio processing, music composition, and synthesizer control.
16. GIS (Geographic Information Systems):
Python is used for geospatial analysis and mapping applications.
17. Cybersecurity:
Python is used in cybersecurity for tasks such as penetration testing, security auditing, and creating security tools.
Also read: How to Become a Flutter Developer? Full Roadmap 2024
What is Python Course?
A Python course is a structured educational program or curriculum designed to teach individuals how to use the Python programming language.
Python courses cater to different levels of learners, from absolute beginners to experienced programmers looking to expand their skills.
Python Course Highlights
| Course | Python |
| Eligibility | None |
| Duration | 2-6 months |
| Fee structure | ₹5,000 to 30,000 |
| Course type | Certification |
| Excepted salary | ₹20,000 to 50,000 |
| Employment opportunities | Python Developer, Python Programmer, Software developer, web application developer, software programmer, and much more |
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Python Course Syllabus 2024
Below is the latest Python course curriculum and syllabus for 2024:
Introduction to Python
- What is Python programming language?
- Advantages and applications of Python
- Installation of Python
- Python Keywords
- The statement, Indentation, and Comment in Python
- Rule of Variables in Python
Input/Output
- Taking input
- Output Using print() function
- Output Formatting
Python Operators
- What are operators in Python?
- Types of operators
- Arithmetic operator
- Assignment operator
- Comparison operator
- Logical operator
- Bitwise operator
- Special operators
- Ternary Operator
Python Data Types
- Get the Type of data type
- Numbers
- Python String
- Python List
- Python Tuples
- Python Sets
- Python Dictionary
- Type Conversion
Python Control Flow
- Python Conditional statements
- Python For Loop
- Python While Loop
- Python break statement
- Python continue statement
- Python pass statement
Python Strings
- Access characters/elements in a string
- Concatenation of two or more string
- String Slicing
- Iterating string
- Delete or Change String
- String Formatting
- String Methods
- Escape Characters
Lists in Python
- Knowing the size of the list
- Adding elements to a list
- Accessing elements from the list
- Delete or Remove elements from the list
- Slicing of a list
- Iterating a list
- List Comprehension
- Nested list
- List Methods
Python Tuples
- Accessing elements in a Tuple
- Tuple Slicing
- Update Tuple
- Unpack Tuple
- Concatenation of Tuples
- Changing and deleting Tuples
- Python Tuple Methods
Dictionary in Python
- Accessing Elements from a Dictionary
- Add/Change Elements in a Dictionary
- Nested Dictionary
- Deleting Elements from Dictionary
- Dictionary Methods
Sets in Python
- Adding Elements to a Set
- Accessing a Set
- Removing Elements from a Set
- Set Methods
Python Functions
- Syntax of Function
- Types of Functions
- Docstring
- Arguments
- Recursion in Python
- Python Recursive Function
- Lambda functions in Python
- Modules in python
- Packages
Python OOP
- Class
- Object
- Inheritance
- iterators
- Encapsulation
- Polymorphism
- Python Objects and Class
- Constructors in Python
- Deleting Attributes and objects
- Multiple Inheritance
- Multilevel Inheritance
Exception Handling in Python
- Syntax Error
- Exceptions
- Try and Except in Exception Handling
- Raising Exception
- Python Errors and Built-in Exceptions
File Handling
- Open a file in Python
- Close a file in Python
- Write to file in Python
- Read files in Python
- Python directory and files management
Python Pickle
- Introduction to Pickle
- Storing Data with Pickles
- Pickling files
- Unpickling files
Python RegEx
- Introduction to RegEx
- RegEx Functions
- Metacharacters
- Sets and Sequences
Python SQLite
- Introduction to SQLite
- Installation
- Connect to Database
- Create a Table
- Insert Operation
- Select Operation
- Update Operation
- Delete Operation
- Where Clause
- And & OR Clause
- Like Clause
- Limit Clause
- Order By Clause
- Group By Clause
- Having Clause
- Distinct Clause
Python Tkinter
- Introduction to Tkinter
- Widgets in Tkinter
- Geometry Management
- Organizing Layout and Widgets
- Binding Functions
- Mouse Clicking Events
- Drop-Down Menus
- Alert Box
- Simple Shapes
- Image and Icons
NumPy Introduction
- What is NumPy in Python?
- Why Use NumPy?
Pandas Introduction
- What are Pandas?
- Why use Pandas?
- What can Pandas do?
Python Full Stack Developer Course Syllabus 2024
A Python Full Stack Developer course covers a wide range of topics, including both front-end and back-end development using Python and related technologies.
Below is the syllabus that you might encounter in such a course:
Introduction to Full Stack Development
- Understanding the role of a full stack developer
- Overview of web development architecture
Front-End Development
- Introduction to HTML, CSS, and JavaScript
- Building responsive web pages
- CSS frameworks (e.g., Bootstrap)
- JavaScript libraries and frameworks (e.g., jQuery, React, or Angular)
Back-End Development with Python
- Introduction to server-side programming
- Setting up a Python development environment
- Basic Python web server using frameworks like Flask or Django
- Handling HTTP requests and responses
Databases and Data Management
- Introduction to databases and data modeling
- Working with relational databases (e.g., MySQL, PostgreSQL)
- Using ORMs (Object-Relational Mapping) like SQLAlchemy
- Data validation and security
Authentication and Authorization
- User authentication and session management
- Implementing authentication with OAuth or JWT (JSON Web Tokens)
- Role-based access control
RESTful API Development
- Building RESTful APIs with Python frameworks
- API design principles
- Testing APIs with tools like Postman or curl
Front-End Development (Advanced)
- Advanced JavaScript concepts (e.g., asynchronous programming, closures)
- Building interactive web applications with a front-end framework (e.g., React or Angular)
- Consuming RESTful APIs from the front end
Deployment and Hosting
- Deploying Python applications to web servers (e.g., using Nginx or Apache)
- Containerization with Docker
- Deployment to cloud platforms like AWS, Azure, or Heroku
Version Control and Collaboration
- Using Git for version control
- Collaborative development with Git and platforms like GitHub or GitLab
- Code review and collaboration workflows
Testing and Debugging
- Writing unit tests and integration tests
- Debugging techniques and tools
- Continuous Integration (CI) and Continuous Deployment (CD)
Security
- Web application security best practices
- Handling common security vulnerabilities (e.g., SQL injection, Cross-Site Scripting)
- Secure coding practices
Performance Optimization
- Identifying and addressing performance bottlenecks
- Caching strategies
- Load balancing and scaling
Real-Time Applications
- Introduction to WebSockets and real-time communication
- Building real-time features with Python and WebSocket libraries
Final Project
- Capstone project where students design and build a full-stack web application
- Presentation and demonstration of the project
Career Development
- Resume building and job search strategies
- Interview preparation and technical interviews
- Exploring job opportunities in full stack development
Also read: Web Designing Course Syllabus 2024: Fees, Duration, All Details
Python Course Admission Procedure
No requirement or specific exam is needed to get admission to the Python course. After completing class on the 12th, one can be admitted to the institutes offering Python language courses.
Moreover, candidates have the opportunity to apply for a certification course either online or offline. For admission forms, interested aspirants must visit the college’s official website and accurately fill in all the necessary details. After the successful registration, the institute authorities will directly contact the candidates and further guide them.
Python Course Duration and Fees 2024
The duration and fees of Python courses can vary significantly depending on various factors, including the level of the course, the institution or platform offering it, and the location.
Below is a simplified tabular representation of potential durations and fee ranges for Python courses:
| Course Level | Duration | Fees |
| Beginner | 1-3 months | INR 5,000 – 15,000 |
| Intermediate | 3-6 months | INR 10,000 – 25,000 |
| Advanced | 6-12 months or more | INR 25,000 – 50,000 |
| Online Bootcamp | 8-16 weeks | INR 3,000 – 20,000 |
| University Degree Program | 2-4 years | INR 1,00,000 – 2,50,000 |
Python Course Eligibility 2024
Python courses do not have strict qualification requirements, and many of them are designed to accommodate learners with a wide range of backgrounds and experience levels.
The eligibility for Python courses can vary based on the specific course, institution, or platform offering the program.
Here are some general guidelines:
1. Beginner Python Courses:
- No formal qualifications are usually required.
- These courses are designed for absolute beginners with little to no programming experience.
- Open to individuals of all educational backgrounds and ages.
2. Intermediate Python Courses:
- A basic understanding of programming concepts and Python syntax is helpful but not always mandatory.
- Suitable for learners who have completed a beginner-level Python course or have some prior programming experience.
3. Advanced Python Courses:
- May require intermediate-level Python skills or experience in a related field.
- Aimed at learners who want to deepen their Python knowledge and skills.
4. Online Bootcamps:
- Eligibility criteria can vary, but many bootcamps welcome individuals from diverse backgrounds.
- Some bootcamps may require you to pass an initial assessment or coding challenge to demonstrate your commitment and basic skills.
5. University Degree Programs in Python or Computer Science:
- Generally require a high school or equivalent for undergraduate programs.
- May require a bachelor’s degree for master’s or Ph.D. programs.
- Some programs may have specific prerequisites, such as coursework in mathematics or computer science.
6. Career-Changer Programs:
Some Python courses or bootcamps cater to individuals looking to switch careers into technology. In such cases, relevant experience or motivation may be more critical than prior qualifications.
It’s essential to check the specific requirements and prerequisites of the Python course you are interested in before applying. Keep in mind that Python is known for its accessibility to beginners, so many introductory courses are designed to help people with no prior programming experience get started.
Also read: Average Full Stack Developer Salary in India 2024 (By Location & Company)
Growing Demand for Python Skills
The demand for Python skills has been consistently high and continues to grow across various industries and job roles.
Several factors contribute to the strong demand for Python:
- Versatility: Python is a versatile programming language that can be used for web development, data analysis, machine learning, artificial intelligence, scientific computing, automation, and more. Its adaptability makes it valuable in a wide range of applications.
- Ease of Learning: Python is known for its simplicity and readability. It is often recommended as a first programming language for beginners, which has led to a large pool of Python developers.
- Data Science and Machine Learning: Python has become the dominant language in the field of data science and machine learning. Libraries like NumPy, pandas, scikit-learn, and TensorFlow have made Python the go-to choice for data analysis and AI.
- Web Development: Python’s frameworks, such as Django and Flask, are popular for web development. They simplify and accelerate the process of building web applications.
- Automation and Scripting: Python’s ease of use and rich standard library make it an excellent choice for automating tasks and writing scripts. Many system administrators and DevOps professionals use Python for automation.
- Community and Resources: Python has a large and active community of developers. This results in a wealth of libraries, frameworks, and online resources that contribute to its popularity.
- Job Opportunities: Job openings for Python developers are abundant. Many companies across diverse industries actively seek Python developers and data scientists to work on their projects.
- Startups and Innovation: Python is often chosen by startups and innovative companies for its speed in prototyping and development. It allows them to bring products to market quickly.
- Education: Python is widely used in education, and many educational institutions teach it as part of their curriculum. This ensures a steady supply of Python developers entering the job market.
- Remote Work: The flexibility of Python development allows for remote work opportunities, which has become increasingly important in recent times.
- Community Initiatives: Initiatives like PyPI (Python Package Index) and open-source projects encourage Python’s growth and adoption.
Also read: How to Become an Ethical Hacker in 2024?
Python Job Profiles and Career Paths 2024
Python is a versatile programming language, and it is used in a wide range of job profiles across various industries. Here are some common job profiles and roles that involve Python:
1. Python Developer:
Python Developers specialize in writing server-side web application logic. They work on back-end development, including creating APIs, handling databases, and implementing server-side functionality.
2. Data Analyst:
Data Analysts use Python to clean, analyze, and visualize data. They often work with libraries like Pandas, NumPy, and Matplotlib to extract insights from data sets.
3. Data Scientist:
Data Scientists use Python for more advanced data analysis, predictive modeling, and machine learning. They build and train machine learning models using libraries like scikit-learn and TensorFlow.
4. Machine Learning Engineer:
Machine Learning Engineers design and implement machine learning systems using Python. They focus on creating algorithms and deploying machine learning models into production.
5. Artificial Intelligence (AI) Engineer:
AI Engineers develop AI applications and systems using Python. They work on natural language processing, computer vision, and other AI-related tasks.
6. Python Full Stack Developer:
Full Stack Developers work on both front-end and back-end development of web applications. They use Python for server-side logic and often JavaScript for the front end.
7. Software Engineer:
Software Engineers may use Python as part of their tech stack. Python can be used for building web applications, desktop software, and more.
8. Game Developer:
Game Developers use Python for scripting and game logic. Libraries like Pygame are commonly used for 2D game development.
9. Web Scraping Specialist:
Web Scraping Specialists use Python to extract data from websites and web applications for various purposes, including data collection and analysis.
10. Quantitative Analyst (Quant):
Quants use Python for financial modeling, risk analysis, and algorithmic trading in the finance industry.
Python Course Salary in 2024
The salary you can expect after completing a Python course in India can vary significantly depending on several factors, including your level of expertise, location, industry, and years of experience.
Here are some salary ranges for Python-related roles in India in 2024:
Entry-Level Python Developer:
Salary Range: ₹3,00,000 – ₹6,00,000 per annum
Intermediate-Level Python Developer:
Salary Range: ₹6,00,000 – ₹12,00,000 per annum
Senior Python Developer:
Salary Range: ₹12,00,000 – ₹20,00,000+ per annum
Data Analyst (Python):
Salary Range: ₹4,00,000 – ₹10,00,000 per annum
Data Scientist (Python):
Salary Range: ₹8,00,000 – ₹20,00,000+ per annum
Machine Learning Engineer (Python):
Salary Range: ₹8,00,000 – ₹20,00,000+ per annum
Python Full Stack Developer:
Salary Range: ₹6,00,000 – ₹15,00,000+ per annum
Python DevOps Engineer:
Salary Range: ₹6,00,000 – ₹15,00,000+ per annum
Online certification courses in Python are among the most renowned and valuable courses. Candidates can expect an excellent job with high salary prospects after qualifying with Python certification.
| Companies | Salary |
| TCS | ₹4.7 lakhs |
| Wipro | ₹4.7 lakhs |
| Tech Mahindra | ₹5 lakhs |
| Accenture | ₹5.4 lakhs |
| IBM | ₹4.9lakhs |
| Cognizant | ₹5.8 lakhs |
| Infosys | ₹4.8 lakhs |
| Capgemini | ₹6.2 lakhs |
Best Books to Learn Python
One can also practice Python programming language by referring to some popular books. The table below lists the best books to learn Python for beginners:
| Book Name | Author |
| Python Crash Course: A Hands-on, Project-Based Introduction to Programming | Eric Matthes |
| Head-First Python: A Brain-Friendly Guide (2nd Edition) | Paul Barry |
| Learn Python the Hard Way: 3rd Edition | Zed A.Shaw |
| Python Programming: An Introduction to Computer Science | John M. Zelle |
| Python Cookbook: Recipes for Mastering Python 3 (3rd Edition) | Brain Jones and David Beazley |
| Introduction to Machine Learning with Python: A Guide for Data Scientist (1st Edition) | Andreas Muller and Sarah Guido |
| Fluent Python: Clear, Concise, and Effective Programming (1st Edition) | Luciano Ramalho |
| Programming Python: Powerful Object-Oriented Programming (4th Edition) | Mark Lutz |
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Python Course Syllabus PDF
Python Developer Roadmap Video
Python Career FAQs
Yes, Python is an excellent programming language to learn for a career in the tech industry. It’s versatile, in-demand, and widely used in various domains, including web development, data science, machine learning, and more.
No, you don’t necessarily need a computer science degree to work with Python. Many professionals with diverse educational backgrounds have successful careers in Python development. However, a degree can be beneficial, especially for certain roles and career paths.
Python developers can pursue various job roles, including Python Developer, Data Analyst, Data Scientist, Machine Learning Engineer, Full Stack Developer, DevOps Engineer, and more. The choice depends on your interests and specialization.
The time it takes to become proficient in Python varies depending on your prior programming experience and the depth of knowledge you wish to achieve. Many beginners can gain a basic understanding of Python in a few weeks, while mastering advanced concepts may take several months.
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