Python Development
Python Development
Python is one of the most powerful and versatile programming languages, widely used for web development, data analysis, automation, and machine learning. In the Python Development course at Prolytics, you will learn the fundamentals of Python programming, object-oriented design, and modern development techniques. This course will equip you with the skills to build real-world applications, whether for the web, data science, or automation.
The course covers essential topics such as Python syntax, libraries, frameworks, debugging, testing, and deploying Python applications. Whether you\'re new to programming or an experienced developer, this course will help you master Python and open up opportunities in various domains.
What will you learn
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Introduction to Python Programming
Learn Python syntax, data types, and how to write basic programs. You will also get a solid understanding of variables, loops, and conditionals.
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Object-Oriented Programming (OOP)
Master the principles of object-oriented programming, such as classes, inheritance, polymorphism, and encapsulation to create reusable and scalable code.
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Working with Libraries and Frameworks
Explore popular Python libraries and frameworks such as Flask, Django, Pandas, and NumPy, which are essential for web development, data analysis, and automation.
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Testing and Debugging
Learn how to debug Python code and write unit tests using tools like pytest to ensure the quality of your applications.
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Deploying Python Applications
Understand how to deploy Python applications to various environments, from local setups to cloud platforms like AWS, Heroku, and Docker.
By completing this course, you will develop expertise in the following areas:
- Writing efficient and readable Python code
- Mastering object-oriented design patterns in Python
- Working with Python libraries like Pandas, NumPy, and Matplotlib
- Building and deploying web applications with Django and Flask
- Automating tasks and processes using Python scripts
- Debugging and testing Python applications
- Integrating third-party APIs and libraries
- Understanding Python’s memory management and performance optimization
- Building Python applications for data science and machine learning
- Deploying Python apps to cloud environments and managing updates
Lessons
- Duration
- 45 Days
| Auto-Welcome Message | |
| Course Curriculum Overview | |
| Why Python? | |
| Course FAQs |
| Command Line Basics | |
| Running Python Code | |
| Getting the Notebooks and the Course Material | |
| Git and Github Overview (Optional) |
| Introduction to Python Data Types | |
| Numbers: Simple Arithmetic | |
| Numbers - FAQ | |
| Numbers Quiz | |
| Variable Assignments | |
| Introduction to Strings | |
| Quick Print Check | |
| Indexing and Slicing with Strings | |
| String Indexing | |
| String Slicing | |
| String Properties and Methods | |
| Strings -FAQ | |
| Strings Quiz | |
| Print Formatting with Strings | |
| Print Formatting FAQs | |
| Print Formatting | |
| Lists in Python | |
| Lists | |
| Lists - FAQ | |
| Lists Quiz | |
| Dictionaries in Python | |
| Dictionaries | |
| Dictionaries - FAQ | |
| Dictionaries Quiz | |
| Tuples with Python | |
| Tuples Quiz | |
| Sets in Python | |
| Sets | |
| Booleans in Python | |
| Sets and Booleans Quiz | |
| I/O with Basic Files in Python | |
| File I/O | |
| Resources for More Basic Practice | |
| Python Objects and Data Structures Assessment Test Overview | |
| Python Objects and Data Structures Assessment Test Solutions |
| Comparison Operators in Python | |
| Chaining Comparison Operators in Python with Logical Operators | |
| Comparison Operators Quiz |
| If Elif and Else Statements in Python | |
| While Loops in Python | |
| Useful Operators in Python | |
| List Comprehensions in Python | |
| Python Statements Test Overview | |
| Python Statements Test Solutions |
| Methods and the Python Documentation | |
| Introduction to Functions | |
| def Keyword | |
| Basics of Python Functions | |
| Logic with Python Functions | |
| Tuple Unpacking with Python Functions | |
| Interactions between Python Functions | |
| Overview of Quick Function Exercises #1-10 | |
| Quick Check on Solutions Link | |
| Functions #1: print Hello World | |
| Functions #2: print Hello Name | |
| Functions #3 - simple Boolean | |
| Functions #4 - using Booleans | |
| Functions #5: simple math | |
| Functions #6: is even | |
| Functions #7: is greater | |
| *args and **kwargs in Python | |
| Functions #8: *args | |
| Functions #9: pick evens | |
| Functions #10: skyline | |
| Function Practice Exercises - Overview | |
| Function Practice Exercises - Solutions | |
| Function Practice - Solutions Level One | |
| Function Practice - Solutions Level Two | |
| Function Exercise Solutions - Challenge Problem | |
| Lambda Expressions, Map, and Filter Functions | |
| Nested Statements and Scope | |
| Methods and Functions Homework Overview | |
| Methods and Functions Homework - Solutions |
| Introduction to Warm Up Project Exercises | |
| Displaying Information | |
| Accepting User Input | |
| Validating User Input | |
| Simple User Interaction | |
| First Python Milestone Project Overview | |
| Milestone Project Help | |
| Solution Overview for MileStone Project 1 - Part One | |
| Solution Overview for MileStone Project 1 - Part Two |
| Object Oriented Programming - Introduction | |
| Object Oriented Programming - Attributes and Class Keyword | |
| Object Oriented Programming - Class Object Attributes and Methods | |
| Object Oriented Programming - Inheritance and Polymorphism | |
| Object Oriented Programming - Special (Magic/Dunder) Methods | |
| Object Oriented Programming - Homework | |
| Object Oriented Programming - Homework Solutions | |
| Object Oriented Programming - Challenge Overview | |
| Object Oriented Programming - Challenge Solution |
| Pip Install and PyPi | |
| Modules and Packages | |
| __name__ and "__main__" |
| Errors and Exception Handling | |
| Errors and Exceptions Homework | |
| Errors and Exception Homework - Solutions | |
| Update for Pylint Users | |
| Pylint Overview | |
| Running tests with the Unittest Library |
| Introduction to Milestone Project 2 Section Warmup | |
| Card Class | |
| Deck Class | |
| Player Class | |
| Game Logic - Part One | |
| Game Logic - Part Two | |
| Game Logic - Part Three | |
| Milestone Project 2 Overview | |
| Solution Walkthrough - Card and Deck classes | |
| Solution Walkthrough - Hand and Chip Classes | |
| Solution Walkthrough - Functions for Game Play | |
| Solutions Walkthrough - Final Gameplay Script |
| Decorators with Python Overview | |
| Decorators Homework |
| Generators with Python | |
| Generators Homework Overview | |
| Generators Homework Solutions |
| Introduction to Advanced Python Modules | |
| Python Collections Module | |
| Opening and Reading Files and Folders (Python OS Module) | |
| Python Datetime Module | |
| Python Math and Random Modules | |
| Python Debugger | |
| Python Regular Expressions Part One | |
| Python Regular Expressions Part Two | |
| Python Regular Expressions Part Three | |
| Timing Your Python Code | |
| Zipping and Unzipping files with Python | |
| Advanced Python Module Puzzle - Overview | |
| Advanced Python Module Puzzle - Solution |
| Introduction to Web Scraping | |
| Setting Up Web Scraping Libraries | |
| Python Web Scraping - Grabbing a Title | |
| Python Web Scraping - Grabbing a Class | |
| Python Web Scraping - Grabbing an Image | |
| Python Web Scraping - Book Examples Part One | |
| Python Web Scraping - Book Examples Part Two | |
| Python Web Scraping - Exercise Solutions |
| Introduction to Images with Python | |
| Working with Images with Python | |
| Python Image Exercises - Overview | |
| Python Image Exercises - Solution |
| Introduction to PDFs and Spreadsheets with Python | |
| Working with CSV Files in Python | |
| Working with PDF Files in Python | |
| PDFs and Spreadsheets Python Puzzle Exercise | |
| PDFs and Spreadsheets Python Puzzle Exercise - Solutions |
| Introduction to Emails with Python | |
| Sending Emails with Python | |
| Receiving Emails with Python |
| Final Capstone Project |
| Advanced Numbers | |
| Advanced Strings | |
| Advanced Sets | |
| Advanced Dictionaries | |
| Advanced Lists | |
| Advanced Python Objects Assessment Test | |
| Advanced Python Objects Test - Solutions |
| Introduction to GUIs | |
| Quick note about ipywidgets | |
| Interact Functionality with GUIs | |
| GUI Widget Basics | |
| List of Possible Widgets | |
| Widget Styling and Layouts | |
| Example of what a Widget can do! |
| NOTE ABOUT THIS SECTION | |
| Objects and Data Structures Assessment - Solutions | |
| Comparison Operators | |
| Chained Comparison Operators |
| BONUS LECTURE |
You Can Trust with Global Certification
At Prolytics Institute, our certifications are globally recognized, ensuring that your skills are validated by a trusted authority. Whether you're advancing in your current role or exploring new career opportunities, our credentials give you a competitive edge in today’s global job market.
Our certification programs are designed to meet international standards while catering to local industry needs. This ensures that your expertise is not only widely accepted but also practically applicable wherever you go.
Committed to preparing you for successful career placement and acing job interviews.
Our curriculum is thoughtfully crafted by senior angular specialists with extensive industry experience.
The course prioritizes cutting-edge technologies that are in high demand among top web design firms and global corporations.
A Personality Development program that enhances skills in professional communication, email writing, and effective interview techniques.
Engaging hands-on practice and real-world projects form a key part of the learning experience.
Learn directly from professionals who are currently active as developer in top IT companies.
FAQs
General frequently asked questions for students.
Our instructors are experienced professionals actively working in the IT industry. They bring real-world insights, practical knowledge, and expertise to the classroom, enhancing the learning experience.
Yes, we offer dedicated job placement support to our graduates. This includes resume workshops, mock interviews, and direct connections with our industry partners to help students transition smoothly into their careers.
Prolytics provides both in-person and online classes to cater to various learning preferences. Our online classes are live and interactive, allowing students to engage directly with instructors and peers.
Absolutely! We prioritize hands-on learning through practical projects and assignments based on real-world scenarios. These projects help students gain practical experience and build a portfolio to showcase to potential employers.
Yes, upon successfully completing a course, students receive a certificate from Prolytics, recognized by industry partners and highly valued in the job market.
Prolytics has a flexible refund policy. Students who need to withdraw may be eligible for a partial refund, depending on the timing and course structure. Please contact our support team for detailed information on refunds.
To enroll, visit our website and register the enrollment form for your desired course. You can also reach out to our admissions team for guidance on course selection and the enrollment process.
Students Reviews
There’s a lot to learn in python development and I was afraid that at this price, the Prolytics course wouldn’t be able to cover it all but I was pleasantly surprised! This course is amazing!
I don’t think a more detailed course on python development than the one offered by Prolytics exists! And to think I got a major discount on this course. Prolytics made my career!
A big thank you to Prolytics for having an easily affordable python development course! It really helps students like me hone their skills and make all of their dreams come true.