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Python Programming

Category:Programming & Development
12 Weeks
On-premises
Instructor Led

Course Brief

Learn Python, a versatile programming language used in web development, data science, and automation. This course covers fundamentals like syntax, variables, and control flow, as well as object-oriented programming. You'll also explore Python libraries for tasks such as file handling, data manipulation, and creating graphical user interfaces.

  • Course overview 
  • Setting up your programming environment 
  • Basic syntax and data types (numbers, strings, booleans)
  • Variables and operators 
  • Input and output (print, input) 

  • Conditional statements (if/else, elif) 
  • Loops (for, while)
  • Logical operators (and, or, not) 
  • Flow control structures (break, continue) 
  • Handling errors and exceptions

  •  Defining and calling functions 
  • Passing arguments and return values 
  • Lambda expressions 
  • Scope and namespaces 
  • Using modules and packages (import)

  • Lists (mutable, ordered, can contain duplicates) 
  • Tuples (immutable, ordered, cannot contain duplicates) 
  • Dictionaries (key-value pairs, mutable) 
  • Sets (unique elements, unordered, mutable) 
  • Comprehensions (list, dictionary, set comprehensions) 
  • Advanced operations and manipulations (slicing, indexing, sorting) 
  • Iteration and data structure algorithms (for loops, list comprehensions) 

  • Object-oriented concepts (classes, objects, attributes, methods) 
  • Defining classes and objects 
  • Inheritance (creating subclasses from parent classes) 
  • Polymorphism (dynamic method resolution) 
  • Data encapsulation and attributes (public, private, protected) 
  • Built-in methods and operators overloading 

  • File handling and working with external data (reading, writing, CSV, JSON) 
  • Regular expressions for string manipulation (matching, searching, extracting) 
  • Networking and web scraping (requests library) 
  • Graphical user interfaces (GUI) development (PyQt, Tkinter) (optional) 
  • Connecting to databases and data analysis (pandas, SQLAlchemy) (optional) 

  • Flask or Django framework for web development 
  • Building basic web applications (routing, templates, forms)
  • Handling user input and data (GET, POST requests, sessions) 
  • Deploying web applications (Heroku, PythonAnywhere) 

  • Introduction to data science (data collection, cleaning, preparation) 
  • NumPy and pandas libraries for data manipulation (arrays, dataframes) 
  • Machine learning concepts and algorithms (supervised, unsupervised learning) 
  • Introduction to artificial intelligence (neural networks, deep learning) 

  • Error handling and debugging techniques 
  • Testing and test-driven development (unittest, pytest) 
  • Object-oriented design patterns (MVC, singleton, factory) 
  • Working with external APIs (RESTful APIs, web services) 
  • Performance optimization and memory management

  • Data visualization and storytelling using Matplotlib, Seaborn 
  • Data mining and feature engineering 
  • Machine learning model evaluation and selection 
  • Introduction to deep learning frameworks (TensorFlow, PyTorch)

  • Introduction to DevOps and automation concepts 
  • Working with the command line (shell scripting) 
  • Configuration management tools (Ansible, Puppet) 
  • Continuous integration and continuous delivery (CI/CD) 
  • Cloud computing and infrastructure automation (AWS, Azure) 

  • Building a portfolio of Python projects 
  • Job hunting and resume preparation for Python developers 
  • Freelancing and consulting opportunities
  • Staying up-to-date with Python trends and technologies 
  • Networking and building a community of Python developers

"I will be the leader of a company that ends up being worth billions of dollars, because I got the answers. I understand culture. I am the nucleus. I think that’s a responsibility that I have, to push possibilities, to show people, this is the level that things could be at."

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