Learn Python: From Beginner to Advanced

Unlock the power of Python, one of the most versatile and in-demand programming languages today. This comprehensive course is designed for both beginners and experienced programmers looking to enhance their skills. Whether you're aiming to start a new career in software development, data analysis, or simply want to automate everyday tasks, this course will provide you with the skills and knowledge you need to succeed.

What You Will Learn:

  • Foundations of Python: Understand the basics of Python programming, including syntax, variables, and data types. Learn how to write, debug, and execute Python scripts.
  • Data Structures and Algorithms: Master Python's built-in data structures such as lists, dictionaries, and sets. Implement algorithms for sorting, searching, and manipulating data efficiently.
  • Object-Oriented Programming (OOP): Gain proficiency in OOP concepts like classes, objects, inheritance, and polymorphism, which are crucial for developing complex and modular programs.
  • File Handling and I/O Operations: Learn how to read from and write to files, manage file directories, and handle exceptions for robust file operations.
  • Libraries and Frameworks: Explore essential Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization. Get an introduction to web frameworks like Flask and Django.
  • Data Science and Machine Learning: Dive into data analysis and visualization. Use Scikit-learn for building and evaluating machine learning models.
  • Project Development: Apply your skills in real-world scenarios with hands-on projects. Develop a comprehensive capstone project that showcases your mastery of Python.

Why Choose This Course:

  • Expert Instruction: Learn from Dr. Jane Smith, an experienced software developer and educator, who brings real-world insights and practical knowledge to the classroom.
  • Hands-On Learning: Engage in interactive exercises and projects that reinforce your learning and provide practical experience.
  • Flexible Learning: Study at your own pace with lifetime access to all course materials, including video lectures, coding exercises, and downloadable resources.
  • Comprehensive Curriculum: Cover all essential aspects of Python programming, from the basics to advanced topics, ensuring a well-rounded understanding of the language.
  • Supportive Community: Benefit from a supportive learning environment with access to the course forum, where you can ask questions, share insights, and collaborate with fellow learners.
Ideal For:
  • Beginners with no prior programming experience looking to start a career in software development or data science.
  • Intermediate programmers who want to deepen their understanding of Python and explore advanced topics.
  • Professionals seeking to automate tasks, analyze data, or develop web applications using Python.
Enroll Today:
  • Take the first step towards mastering Python. Enroll now and start your journey to becoming a proficient Python programmer!

This detailed overview should give potential students a clear understanding of what they can expect from the course and the benefits of enrolling. Feel free to adjust any part of it to better fit your specific course offerings. Let me know if you need further customization or additional details!

Curriculum

Overview of Python and its applications30:25🔒
Installing Python and setting up the development environment (IDEs like PyCharm, VS Code)25:40🔒
Basic Python syntax and structure20:15🔒
Writing and running your first Python script15:30🔒

Variables and data types (int, float, string, boolean)35:15🔒
Basic operations (arithmetic, comparison, logical)28:40🔒
Type casting and conversions18:20🔒
Strings and string operations (concatenation, slicing, formatting)32:10🔒
Lists, tuples, and sets24:35🔒

Conditional statements (if, elif, else)26:45🔒
Looping constructs (for, while, nested loops)38:20🔒
List comprehensions22:15🔒
Handling exceptions with try, except, finally29:30🔒

Defining and calling functions31:50🔒
Function arguments and return values27:35🔒
Lambda functions and anonymous functions19:40🔒
Modules and packages24:15🔒
Importing and using standard libraries and third-party modules33:20🔒

Understanding and working with lists (indexing, slicing, methods)34:50🔒
Tuples and immutability21:30🔒
Sets and their operations26:15🔒
Dictionaries (key-value pairs, methods, and operations)31:40🔒
Iterating over data structures23:25🔒

Reading from and writing to files (text files, CSV files)36:40🔒
Working with file paths and directories28:15🔒
Using context managers (with statement)22:30🔒
Handling file exceptions19:45🔒

Introduction to OOP concepts (classes, objects)32:20🔒
Defining and using classes29:15🔒
Constructors and destructors24:40🔒
Inheritance and polymorphism35:25🔒
Encapsulation and abstraction27:50🔒
Method overloading and overriding21:35🔒

Introduction to Python's standard library30:10🔒
Using libraries for specific tasks (math, datetime, os, sys)33:45🔒
Introduction to third-party libraries (requests, NumPy, pandas)38:20🔒
Making HTTP requests and handling APIs26:30🔒

Introduction to data analysis libraries (NumPy, pandas)35:15🔒
Data manipulation and cleaning with pandas42:10🔒
Basic data visualization with Matplotlib and Seaborn31:25🔒
Understanding and creating plots (line, bar, histogram, scatter)28:40🔒

Introduction to web development with Flask or Django39:30🔒
Understanding HTTP methods and routes24:15🔒
Creating basic web applications35:45🔒
Handling forms and user input27:20🔒

Installing Python and setting up the development environment28:45🔒
Introduction to Python syntax and interactive shell22:30🔒
Writing and running your first Python script18:15🔒
Understanding Python's philosophy: "The Zen of Python"15:20🔒

Variables, data types, and operators32:10🔒
Basic input/output operations24:35🔒
Control flow: if-else statements, loops (for, while)36:50🔒
Introduction to functions and modular programming29:25🔒

Lists: creation, indexing, slicing, and methods38:15🔒
Tuples: immutability and use cases26:40🔒
Dictionaries: key-value pairs, adding, and accessing elements33:20🔒
Sets: uniqueness, operations, and use cases28:55🔒

Reading from and writing to text files34:25🔒
File modes and file operations (open, close, read, write)31:10🔒
Handling file exceptions23:45🔒
Working with CSV files using Python27:30🔒

Advanced function concepts: default parameters, *args, **kwargs42:15🔒
Lambda functions and higher-order functions35:40🔒
Understanding and creating Python modules29:20🔒
Introduction to Python's standard library and useful modules37:50🔒

Classes and objects in Python39:10🔒
Methods, attributes, and the self keyword32:25🔒
Inheritance, polymorphism, and encapsulation44:15🔒
Understanding special methods and operator overloading36:30🔒

Understanding exceptions and error types28:45🔒
Try-except blocks and handling multiple exceptions35:20🔒
Raising exceptions and custom exception classes31:15🔒
Best practices for error handling26:40🔒

Installing and managing packages with pip24:30🔒
Introduction to popular Python libraries (NumPy, Pandas, Matplotlib)41:20🔒
Using virtual environments for project management33:45🔒
Basics of package development and distribution37:10🔒

Advanced file handling (JSON, XML, Excel files)43:25🔒
Data manipulation and analysis with Pandas48:15🔒
Working with dates and times using datetime and time modules35:50🔒
Regular expressions for pattern matching31:40🔒

Abstract classes and interfaces38:30🔒
Mixins and multiple inheritance42:15🔒
Design patterns in Python (Singleton, Factory, Observer)51:20🔒
Metaclasses and advanced class customization45:40🔒

Introduction to threading and multiprocessing46:20🔒
Asynchronous programming with asyncio52:35🔒
Managing concurrent tasks with futures and executors39:15🔒
Performance considerations and trade-offs34:45🔒

Introduction to web frameworks: Flask, Django48:30🔒
Building RESTful APIs with Flask/Django55:20🔒
Introduction to web scraping using BeautifulSoup and Scrapy43:15🔒
Working with databases: SQLAlchemy, Django ORM49:45🔒
Price
From

$99.99

Courses Title
Web Development
Lessons
16 Videos
Language
English
Course Level
Beginner
Reviews
4.7(5.5k)
Quizzes
08
Duration
7 Weeks
Students
2.5k
Certifications
Yes
Pass Percentage
88%
Deadline
01 Jun, 2024
Instructor
Denial Lie
See All Reviews
FAQs

The duration is of 2 months for recorded & 3 months for live.

Yes at the end of the course completion you will get certificates.

ABCPanda team will arrange a doubt clearance session accordingly.

Yes for recorded sessions access duration 1 year. Live session access duration 2 years.

No our mentors will teach from basic. If you have experience, it would add an advantage.