Become a Python Developer
Python is the most popular programming language in the world. If you want to break into programming, this 100% online course will prepare you with the skills and techniques to become a Python developer.
Job Outlook for Python Developers
- According to the US Bureau of Labor Statistics (BLS), demand for software developers will increase by 22% between now and 2028. The BLS expects growth to be driven by an increase in mobile technologies and by an increase in devices run by software, also known as the Internet of Things (IoT). Python excels in both of these areas.
- Python developers are well compensated. According to recruiting site DevSkiller.com, entry-level Python developers commonly command salaries that exceed $77,000. Experienced Python developers often earn over $100,000 including salary and bonus.
Excellent Python developers earn great money because they are responsible for the planning, creation, deployment and testing of Python-driven systems. Their duties both include and exceed the coding process. They create the logic, structure and processing for applications that run on nearly every kind of device and serve an almost limitless variety of computing tasks.
A well-designed, organized course is the best way to approach the various tasks a developer performs. In this course, for example, you start with the basics of programming, including Python structure and syntax.
Yes, entry-level Python developers get great jobs all the time. The key, experts say, is to build your presence as you build your skills. This can include networking in user groups, creating a blog or strong LinkedIn profile and building your own apps that people actually need, download and use. Experienced Python developers also recommend choosing a specialty within the vast Python ecosystem.
Python is used across nearly every digital platform. Its developer community has created a robust system of libraries - collections of pre-built code - that are used for specific domains like the web, artificial intelligence (AI) and scientific computation.
Course Objectives
- Learn how Python works and what it's good for
- Understand Python's place in the world of programming languages
- Learn to perform math operations with Python
- Learn to work with Python sequences: lists, arrays, dictionaries, and sets
- Learn advanced sorting
- Learn to work with databases, CSV files, JSON, and XML
- Learn to write object-oriented code in Python
- Learn to test and debug your Python code
- Learn to use regular expressions for pattern matching
- Learn to use NumPy to work with arrays and matrices of numbers
- Learn to work with pandas to analyze data
- Prepare for an entry-level job as a Python programmer
- Enhance your programming ability and add a new skill to your resume
- Become more confident in your ability to use the Python programming language
Prerequisites and Requirements
There are no prerequisites for this course, however prior knowledge of any programming language is helpful.
Curriculum
Introduction to Python
- Python Basics
- Functions and Modules
- Math
- Python Strings
- Iterables: Sequences, Dictionaries, and Sets
- Virtual Environments, Packages, and pip
- Flow Control
- Exception Handling
- Python Dates and Times
- File Processing
- PEP8 and Pylint
Advanced Python
- Advanced Python Concepts
- Regular Expressions
- Working with Data
- Testing and Debugging
- Classes and Objects
Python Data Analysis with JupyterLab
- JupyterLab
- NumPy
- pandas
Instructors
Nat Dunn
Nat Dunn founded Webucator in 2003 to combine his passion for technical training with his business expertise and to help companies benefit from both. His previous experience was in sales, business and technical training, and management. Nat has an MBA from Harvard Business School and a BA in International Relations from Pomona College.
Registration and Enrollment
This course is 100% online. Start anytime.
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