Library

Programming

The 'Programming' course is a comprehensive learning journey that covers the fundamentals of programming, data structures, algorithms, object-oriented programming, and advanced topics like concurrency, networking, and machine learning. Upon completing these 100 lessons, learners will be able to design, develop, and deploy efficient software solutions, and will have a deep understanding of programming concepts and best practices. For example, they will be able to build a simple web application using RESTful services, securing it with best practices and deploying it on a cloud platform. By the end of the course, learners will be well-prepared to tackle real-world programming challenges and pursue a career in software development.

Міні-план уроків · 100 уроків

Початковий · уроки 1–25

1. Introduction to Programming Concepts
2. Setting Up Your Development Environment
3. Understanding Variables and Data Types
4. Basic Input and Output Operations
5. Using Operators and Expressions
6. Control Flow: If Statements
7. Control Flow: Switch Statements
8. Loops: For Loop Basics
9. Loops: While and Do-While Loops
10. Functions: Defining and Calling
11. Function Parameters and Return Values
12. Introduction to Arrays
13. Working with Strings
14. Basic Error Handling
15. Introduction to Debugging
16. Understanding Comments and Documentation
17. Simple Data Structures: Lists
18. Introduction to Boolean Logic
19. Using Logical Operators
20. Basic Recursion Concepts
21. Introduction to File Input/Output
22. Working with Simple Libraries
23. Understanding Scope and Lifetime
24. Introduction to Object-Oriented Programming
25. Creating Your First Class

Середній · уроки 26–50

26. Class Constructors and Destructors
27. Encapsulation and Access Modifiers
28. Inheritance Basics
29. Polymorphism and Method Overriding
30. Abstract Classes and Interfaces
31. Exception Handling Techniques
32. Working with Collections and Generics
33. Advanced String Manipulation
34. Recursion: Advanced Examples
35. Sorting Algorithms Introduction
36. Searching Algorithms Introduction
37. Introduction to Data Structures: Stacks
38. Introduction to Data Structures: Queues
39. Linked Lists Fundamentals
40. Understanding Hash Tables
41. Basic Algorithm Complexity
42. Introduction to File Systems
43. Working with JSON and XML
44. Introduction to Multithreading
45. Synchronization Basics
46. Unit Testing Fundamentals
47. Debugging Complex Programs
48. Version Control with Git Basics
49. Introduction to APIs
50. Building Simple Command-Line Applications

Просунутий · уроки 51–75

51. Advanced Data Structures: Trees
52. Graph Theory Basics
53. Algorithm Design Techniques
54. Dynamic Programming Concepts
55. Greedy Algorithms Explained
56. Advanced Sorting Algorithms
57. Advanced Searching Algorithms
58. Memory Management and Pointers
59. Understanding Concurrency
60. Thread Pools and Executors
61. Design Patterns Overview
62. Singleton and Factory Patterns
63. Observer and Strategy Patterns
64. Dependency Injection Principles
65. Refactoring Techniques
66. Profiling and Performance Tuning
67. Network Programming Basics
68. Socket Programming
69. Database Integration Fundamentals
70. SQL Query Optimization
71. Introduction to Functional Programming
72. Lambda Expressions and Closures
73. Reactive Programming Concepts
74. Building RESTful Services
75. Security Best Practices

Експерт (already in the field) · уроки 76–100

76. Advanced Concurrency Patterns
77. Distributed Systems Fundamentals
78. Microservices Architecture
79. Containerization with Docker
80. Orchestration with Kubernetes
81. Event-Driven Architecture
82. Message Queues and Brokers
83. Scalability and Load Balancing
84. Cloud Computing Basics
85. Serverless Computing Concepts
86. Advanced Database Design
87. NoSQL Databases Overview
88. Graph Databases and Use Cases
89. Machine Learning Integration
90. Artificial Intelligence Basics
91. Compiler Design Principles
92. Building Domain-Specific Languages
93. Advanced Security Techniques
94. Cryptography Fundamentals
95. Code Obfuscation and Protection
96. Performance Benchmarking
97. Continuous Integration and Deployment
98. DevOps Practices
99. Technical Leadership Skills
100. Future Trends in Programming

Related subjects

• Introduction to Programming Concepts
• Programming Languages Fundamentals
• Variables, Data Types, and Operators
• Control Structures and Conditional Statements
• Functions and Modules in Programming
• Object-Oriented Programming Concepts
• Arrays and Data Structures
• Algorithms and Problem-Solving Strategies
• File Input/Output and Persistence
• Networking and Web Development Basics
• Database Systems and SQL
• Web Scraping and API Integration