Python Mastery in 21 Days

Name: Python Mastery in 21 Days
Rating: 3.8 (20 reviews)

21 day Challenge

Created byNahed Gaber

Last updated 8/2023

English

English [Auto],

What you'll learn

Master Python fundamentals - variables, control flow, functions, OOP.
Build interactive web applications using frameworks like Django and Flask.
Understand API integration and handling of JSON data.
Demonstrate proficiency in handling files and databases.

Course content

3 sections • 21 lectures • 1h 49m total length

Day 1: Introduction to Python Programming6:56
Discover the fundamentals of Python programming, focusing on readability and clean syntax, built-in functions like sum and len, and its versatility from web development to data analysis using Google Colab.
Day 2: Variables, Data Types, and Operators5:12
Explore variables, data types, and operators in Python, including integers, floats, strings, booleans, and assignment operators, and apply arithmetic, comparison, and logical operations through practical examples.
Day 3: Control Flow and Conditional Statements4:01
Master control flow and conditional statements in Python to create interactive programs using if, elif, and else, with indentation guiding code blocks and examples like time-based greetings.
Day 4: Loops and Iterations2:41
Explore loops and iterations in Python by mastering for and while loops that iterate over lists, strings, and ranges, and perform repetitive tasks with clarity.
Day 5: Functions and Modularity3:21
Explore the power of functions to create modular, reusable code in Python by defining functions with def and parameters, and returning values.
Day 6: Python Libraries and Modules3:42
Unlock Python libraries and modules to boost programs by importing popular tools like NumPy, Matplotlib, TensorFlow, and Flares, and explore data analysis, visualization, machine learning, and web development.
Day 7: Error Handling and Exception Handling3:44
Master Python error handling with try-except blocks to catch exceptions (value errors and file not found errors) and gracefully recover, then use finally blocks for cleanup.
Day 8: File Handling and Input/Output Operations3:31
Master Python file handling by reading from and writing to files with open, read, write, and close, while handling user input and output with input and print.
Day 9: Object-Oriented Programming (OOP)3:55
Explore object oriented programming in Python by creating classes and objects, and applying attributes, methods, encapsulation, inheritance, and polymorphism through a simple person class example.

Day 12: Database Integration with Python5:46
Explore advanced Python concepts like generators, decorators, context managers, and exception handling. See a Fibonacci generator using yield and preview database connectivity topics ahead.
Day 11: Web Development with Flask4:54
Learn to build dynamic web applications with the Flask micro framework, covering routing, views, and templating with Jinja2, and running apps in a Colab or local environment.
Day 15: Introduction to Data Structures in Python4:43
Explore database integration with python to store, retrieve, and manipulate data using relational, SQL, and object-oriented databases, and use libraries like SQLAlchemy and sqlite3.
Day 16: Algorithms and Problem Solving in Python5:43
Explore data analysis and visualization in Python using pandas, NumPy, SciPy, scikit-learn, and Matplotlib to clean, analyze, and visualize data.
Day 17: Introduction to Recursion in Python5:11
Explore machine learning in Python using libraries such as scikit-learn, TensorFlow, and PyTorch, covering data preparation, feature selection, model training, evaluation, classification, and hands-on iris dataset experiments.
Day 18: Introduction to Web Scraping in Python4:14
Explore Python data structures—lists, tuples, dictionaries, and sets—and learn to create and manipulate them. Choose the right structure for different data and preview algorithms and file handling.

Day 10: Advanced Python Concepts7:35
Master algorithms and problem solving in Python, from brute force and divide-and-conquer to greedy, backtracking, dynamic programming, and binary search, with implementation tips for efficient code.
Day 13: Data Analysis and Visualization with Python4:13
Learn how recursion in Python enables a function to call itself, break problems into subproblems, manage the call stack, and solve tasks like factorial with a base case.
Day 14: Introduction to Machine Learning with Python4:15
Explore web scraping with Python by sending HTTP requests, parsing HTML with Beautiful Soup, and extracting data using libraries like Requests, Selenium, and Scrapy, while respecting site policies.
Day 19: Introduction to Data Visualization in Python6:55
Explore data visualization in Python, learning why visuals aid insight and communication, and work with Matplotlib, Seaborn, Plotly, and Pandas to create line, bar, scatter, and other charts.
Day 21: Introduction to Deep Learning in Python9:46
Explore natural language processing with Python, covering tokenization, preprocessing, classification, named entity recognition, sentiment analysis, and language modeling. Use TextBlob, spaCy, NLTK, and PyTorch to build deep learning language models.
Day 20: Introduction to Natural Language Processing (NLP) in Python9:16
Explore deep learning with neural networks and activation functions in Python, building a two-layer PyTorch model, training with forward/backward passes, and applying to NLP, vision, and more.

Requirements

Basic computer literacy and familiarity with operating systems.

Description

Join us for an immersive and transformative 21-day Python programming course that caters to coding novices and tech enthusiasts alike. Whether you're taking your first steps into the world of programming or looking to expand your skill set, this course is designed to provide you with a comprehensive and practical understanding of Python.

Our curriculum is carefully crafted to take you on a journey from Python basics to advanced topics, ensuring you build a strong foundation while also exploring the language's vast capabilities. Through a combination of interactive lessons, hands-on projects, and real-world applications, you'll gain the confidence to harness Python's power in various domains.

From the outset, you'll dive into Python's fundamentals, learning about variables, data types, and control flow. As you progress, you'll explore more complex concepts, such as functions, object-oriented programming, and file handling. Our expert instructors will guide you every step of the way, ensuring you grasp each concept and can apply it effectively.

But Python is not just about syntax – it's about application. That's why we provide you with ample opportunities to create real-world projects that put your skills to the test. Whether you're building interactive web applications using frameworks like Flask and Django, analyzing and visualizing data with Pandas and Matplotlib, or even dipping your toes into machine learning with Scikit-learn, you'll have a chance to apply your knowledge to tangible, practical scenarios.

We understand that learning is not a solitary journey. That's why our course fosters a dynamic learning community where you can collaborate with fellow learners, seek guidance from instructors, and share your projects for constructive feedback. This collaborative environment enriches your learning experience and allows you to see the different ways Python can be applied across various industries.

Upon completion of the course, you'll receive a prestigious certificate of achievement – a testament to your dedication and newfound expertise in Python programming. Whether you're aspiring to develop innovative applications, analyze complex data sets, or explore the realm of artificial intelligence, this course equips you with the skills and knowledge to confidently navigate Python's dynamic landscape.

Enroll today and embark on a journey that opens doors to endless possibilities in the tech world. Python is not just a programming language; it's a gateway to innovation, problem-solving, and creativity. Don't miss out on this opportunity to unlock your coding potential. Let the adventure begin!

Who this course is for:

Welcome to our Python programming course designed for a diverse audience! Whether you are a complete beginner in coding or an experienced programmer looking to expand your skillset, this course is tailored to meet your needs. Our engaging curriculum starts with Python fundamentals, making it accessible to absolute beginners with no prior coding experience. For intermediate learners, we offer advanced topics, such as web development, data science, and machine learning, allowing you to explore exciting avenues in Python. Professionals seeking to enhance their career prospects will find this course ideal, as we cover real-world applications and hands-on projects, providing you with practical experience to stand out in the job market. Join us on this journey of learning and innovation, where learners from all backgrounds can come together, share knowledge, and grow together in the vast realm of Python programming. Let's unlock your coding potential and create a vibrant and inclusive learning community!

Python Mastery in 21 Days

What you'll learn

Explore related topics

Course content

Basics9 lectures • 37min

Web Concepts6 lectures • 31min

Advanced6 lectures • 42min

Requirements

Description

Who this course is for: