Apponix Python Full stack Training course
- 1. Introduction to Python Python is a versatile and beginner-friendly programming language used for web development, data analysis, artificial intelligence, and more. by Kevin Chauhan
- 2. Basic syntax and data types Python Syntax The syntax of Python is simple and easy to learn, making it suitable for beginners. Data Types Python supports various data types including numbers, strings, lists, and dictionaries. Variables Understanding the concept of variables is essential for working with data in Python. Control Structures Python provides control structures like if statements and loops to manage program flow.
- 3. Control flow and loops • If statements: Decision-making structures, execute code based on conditions • For loops: Iterate over a sequence or range • While loops: Repeatedly execute a block of code while a condition is true
- 4. Functions and Modules 1 Definition of Functions Functions are blocks of code that carry out a specific task when called. 2 Importing Modules Modules are files containing Python code that can be used in other programs. 3 Creating Modules Modules can be created to organize functions and variables for reusability.
- 5. File handling and input/output File handling in Python involves tasks such as opening, reading, writing, and closing files. Python provides easy and efficient ways to manage files, making input/output operations seamless. Working with input/output involves handling data streams, reading from and writing to files, and managing file pointers with precision.
- 6. Object-oriented programming in Python Class and Objects Classes are blueprints for objects. Objects are instances of classes. Inheritance and Polymorphism Inheritance allows a new class to take on the attributes and methods of an existing class. Polymorphism allows methods to be redefined in the subclass. Encapsulation and Abstraction Encapsulation bundles the data and methods that operate on the data into a single unit. Abstraction hides the complex implementation details and only reveals the necessary features.
- 7. Error handling and exceptions Understanding Errors Recognize and categorize different types of errors in Python programs. Try-Except Blocks Utilize try-except blocks to handle anticipated errors gracefully. Raising Exceptions Create custom exceptions and raise them based on specific conditions.
- 8. Working with Databases in Python Database Connection Establish connection to databases for data retrieval and manipulation. SQL Queries Write and execute SQL queries to interact with the database. Data Modeling Design and create database tables and define relationships. Data Storage Store and retrieve data from databases using Python.
- 9. Web scraping and data manipulation Web Scraping Data Manipulation Extracting data from websites using Python libraries. Transforming, cleaning, and analyzing the extracted data. Utilizes Beautiful Soup and requests libraries. Includes filtering, sorting, and generating insights. Technique for collecting valuable information from the web. Enhancing data for meaningful interpretation and decision-making. A modern, sleek workspace with a computer displaying web data on one screen while manipulating and analyzing data sets on another. The scene is illuminated by a soft, warm light, creating a focused and analytical atmosphere.
- 10. Final Project and Assessment Project Deadline Deadline Submit your project by the specified deadline for assessment. Assessment Evaluation Your final project will be assessed based on predefined criteria. The final section focuses on the completion and evaluation of a Python project. You'll need to submit the project by the specified deadline for evaluation, where it will be assessed based on predefined criteria. This is a culmination of all the knowledge and skills acquired throughout the training.