Highly Detailed Python Developer Roadmap
Highly Detailed Python Developer Roadmap Chapter 9, Databases SQL Chapter 11, Architecture Chapter 12, DevOps Chapter 7, Common Practices Chapter 2, Data Management Chapter 10, Net Chapter 5, Under The Hood Chapter 3, Data Flows Chapter 1, Data Structures Chapter 4, Object-Oriented Programming Chapter 6, Multithreading & Multiprocessing Chapter 8, Algorithms RDBMS Relational basics Linux asyncio System design itertools Logging & Monitoring Design patterns String management Microservices Exception Principles REST API Order of execution PostgreSQL NoSQL Technique Window functions Testing Duck types Output DML Git Web servers regex Typing OOP basics Environment File more-itertools Graph Cryptography functools 2 Roadmap Legend Multiprocessing Tree DDL Introspection Streams Datetime ELK Stack Inheritance Synchronization Isolation Combinatorics Frameworks Sort Search Finite iterators Mitigation strategies Normalization Other Scopes Built-in functions functools 1 Tools Random Generator Object copy High level API Linked list ACID Python specific HTTP Paradigms Object-oriented Garbage Collector Iterable duck types Low level API Represent a graph Format Input Dict Unit tests Decorator Comprehension UI-related patterns Multithreading Sources Queues gRPC Array Protocols Infinite iterators SQLite ORM Context managers Sorting Metaprogramming SOLID Streams Doubly linked list Tuple Set Chapter 13, Data science Chapter 14, Performance & Python-C interaction Neural Networks & Deep Learning Machine Learning Data Processing Python-C interaction Key Algorithms Mathematics Development lifecycle (SDLC) Visualization Basics Сode-level fixes Basics Containers Profiling & tracing Architectures Advanced Topics Tools Metrics Compiling Python to machine code CI/CD Pandas NumPy Static Interactive CPU & GPU acceleration Linear Algebra Statistics Calculus PyTorch Optimizers Python>=3.13  Supervised learning Gradient boosting Clustering Optimized Libraries Garbage Control Generative models Unsupervised learning Time series, text NLP Activation functions Tools lambda TypedDict \*args, \*\*kwargs Operator Pydantic Y Combinator Generic mypy Packages globals, locals GIL Modules vars attributes PyPI, pip dir parameters Import system variables Protocol typing Exception chaining Handling with @singledispatch Name mangling virtualenv pyenv ctypes Literal global builtin Exception logging Handling in decorator User exceptions add_note PyPy GC Context manager + exception traceback Exception groups, except* Built-in exceptions local Garbage collector Warnings Exception raising GC debug / objgraph nonlocal Exception handling LEGB rule Reference counting Assignment (=) slots Multiple Inheritance, MRO @abstractmethod ABC, ABCMeta Mixin copy.replace (>= 3.13) Deep copy Slots' inheritance Metaclasses dict Callable ABC Sequence @classmethod, cls, self Inheritance Shallow copy Sortable Sequence @staticmethod contextlib Iterable Comparable init, repr, str Collection Hashable @property Magic methods Iterator enter, exit @total_ordering functools.wraps @singledispatch yield from Parameterized decorator ... enumerate Decorator @cache Generator expression @lru_cache yield Сlosure @cached_property Generator comprehension takewhile take ... ... unique_everseen dropwhile combinations_with_replaceme nt batched sliding_window chain cycle combinations compress permutations repeat collapse accumulate count product chunked JSON StringIO partial Today, now BytesIO any, all Timezone RawIOBase Monotonic clock map Encode Read/write filter reduce Decode Math Text/binary IOBase orjson paths Protocol Buffers 1 stdin, stdout, stderr Pickle BufferedIOBase ... ... match ord, chr finditer sub split (splitlines, rsplit) compile findall strip (lstrip, rstrip) search split Convert case Multiprocessing for CPU-bound tasks NumPy -> CuPy CUDA TensorFlow/PyTorch for GPU- based ML PyObject Reference counting Type conversions Python containers in C Exception propagation Object model internals Bytecode manipulation, dis Interpreter hooks Atomic operations Interpreter architecture Memory management Custom types, PyType_FromSpec Avoiding API overhead hotspots Bytecode structure Initialization patterns Buffer protocol Vectorcall protocol Profiling C extensions, cProfile Disable GIL JIT Nuitka Numba Avoid cyclic references Use weak references NumPy Pandas py-spy VizTracer Precompute loop-invariant values Generators for memory efficiency Flame graphs dict -> slots Manual loops -> C-based tools (map, itertools) Call Graph tracemalloc timeit tqdm String concatenation -> join() perf_counter dicts/sets for lookups Minimize global variables SGD Adam RMSprop Transfer learning Fine-tuning GANs VAEs Reinforcement learning BERT GPT LSTMs CNNs for images RNNs TensorFlow Keras Model building Tensors autograd Accuracy Precision Recall ROC-AUC F1-score k-means DBSCAN XGBoost MSE MAE Aggregation Linear regression Logistic regression Decision trees Random forests SVM k-NN Histograms Statistics Heatmaps Science Finance Pairplots Bar charts Basic Maps LightGBM Distributions Line plots Plotly DataFrame Series Filtering groupby Pivot tables ndarray Slicing Reshaping Matrix operations Broadcasting Indexing Gradients Optimization Integrals Derivatives Distributions Mean Variance Correlation Hypothesis testing Perceptrons Layers ReLU Sigmoid Backpropagation Loss functions Dimensionality reduction Cross-validation Scikit-learn Overfitting/underfitti ng Regression Classification Clustering Stopwatch Avoid unnecessary copies Vectors Matrices Dot product Norms Eigenvalues Docker Managed Kubernetes Docker Compose Kubernetes Operators VMs (VMware, VirtualBox) Watchtower Linux namespaces, cgroup Portainer CircleCI Jenkins Clouds (AWS, Azure) Docker Swarm Standalone Kubernetes GitHub Actions Continuous testing Linters Forking workflow Technical debt Agile MVP Documentation Extreme Programming Trunk-based development Twelve-factor app SDLC tools (Jira, Trello) Kanban Waterfall Scrum Iterations = mini projects Refactoring Git flow GitHub flow Networking utilities Processes Daemons GitHub TortoiseGit Commit style guides Disk management Installation (apt, pip) SSH Vim System administration Network administration Monitoring, optimization Stashing and cleaning Advanced merging ... Task schedulers Bash/Python automation SELECT: expressions and functions are calculated, column aliases are defined, window functions are executed. Aliases from SELECT become visible only at this stage (cannot be used in WHERE or GROUP BY). PERCENT_RANK CUME_DIST FIRST_VALUE LAST_VALUE CTE: executed before the main query, as temporary tables. DISTINCT: removal of duplicate rows. ORDER BY: sorting results. Can use aliases from SELECT. LIMIT / OFFSET: limiting the number of returned rows and skipping the specified number of records. WHERE: filtering rows at the level of individual records. Cannot use aliases from SELECT or aggregate functions. GROUP BY: rows are grouped by specified columns/expressions. After this stage, only groups remain in the dataset, not individual rows. HAVING: filtering at the group level. Unlike WHERE, works with aggregation results. RANK DENSE_RANK ROW_NUMBER NTILE LEAD FROM, JOIN: data sources are defined, tables are joined. SET Order of execution WHERE FROM DELETE INSERT UPDATE SELECT LAG NTH_VALUE create_future ... run_forever new_event_loop StreamWriter StreamReader PriorityQueue LifoQueue Queue ... run create_task gather sleep ... Range types pgAdmin Sharding Security Analyze an execution plan Replication TimescaleDB SQLite SQLite syntax diagrams Triggers PostgreSQL PL/pgSQL asyncpg pgbench hstore JSONB Arrays PostGIS DataGrip (paid) DBeaver (free) ... FOREIGN KEY PRIMARY KEY DROP ALTER Citus CREATE SQLAlchemy Django ORM TCL SQL standard DCL SQL injection N+1 problem Transaction Denormalization Other normal forms Durability Third normal form Two-phase locking (2PL) Serializable Repeatable read Isolation Read committed Read uncommitted Atomicity Consistency Relational model First normal form Second normal form Public keys (RSA) Hybrid cryptosystems (PGP, TLS) Symmetric keys (AES) One way hash (MD5, SHA-256) Catch accidents (CRC32) ∞ Graphs Dynamic programming Hash tables Grind 75 Divide and conquer pytest Coupling & isolation assert mock Sliding window Recursion Backtracking Brute force Linked lists Greedy algorithm BFS DFS P vs NP Dijkstras Bellman–Ford HeapSort MergeSort InsertionSort RadixSort Binary search Linear search QuickSort FizzBuzz O(n) BubbleSort Performance tests TDD Integration tests End-to-end tests f-string json.dumps & dump pprint t-string str.format & format_map print UUID random Semaphore BoundedSemaphore SocketHandler SysLogHandler TimedRotatingFileHandler python-json-logger Kibana RotatingFileHandler Log formatting FileHandler ColoredFormatter Filebeat New Relic Prometheus Grafana input Logstash Snowflake ID Elasticsearch secrets Command line arguments Argument parser StreamHandler elasticsearch-py Condition Barrier Event Pipe Value Array Manager Pool Process Listener Lock Input/output, redirect Merging Branching Basics Bash, piping sudo, chmod, chown Unix philosophy nano Linux file system tree Terminal HTTP IPv6 CSRF/CORS HTTP/2, HTTP/3 HTTPS, SSL/TLS requests WebSocket websockets JWT tokens OpenAPI Generator Gradio Jinja aiohttp Streamlit MongoDB Flask Django REST JSON OpenID Connect TCP/IP Document-based Redis Redis for caching Key-Value redis-py pymongo ... OSI NTP API Code-First MessagePack API Contract-First AWS API Gateway nginx Load balancing CDN Clouds LocalStack Newman CLI OpenAPI Swagger Validator FastAPI GraphQL Protocol Buffers 2 gRPC grpcio RESTful Postman OAuth 2.0 Serverless DNS Apache Strategy Iterator Facade Structural patterns Proxy Command Functional Behavioral patterns Refactoring to Patterns Creational patterns DTO Value object Decorator Abstraction Structured Polymorphism OCP LSP ISP DIP Cyclomatic Complexity Coupling vs cohesion Jones Complexity Clean architecture DDD YAGNI Encapsulation DRY KISS Object-oriented SRP Load balancing Consistent hashing Rate limiting ... Two-phase commit (2PC) CAP theorem, PACELC Lamport timestamp Message queues Procedural Inheritance Smart endpoints, dumb pipes AMQP CQRS Serverless Saga pattern API gateway Backpressure Sharding, data partitioning Graceful degradation Circuit Breaker Decentralization Administration Tools API-Gateway Apache Kafka Security SQL vs. NoSQL Load shifting MVC MVP MVVM Asynchronous communication Design for failure Latency, failures, consistency RabbitMQ POCO (POJO) Singleton Timer Thread pool executor Thread Observer Factory Method Adapter Incidence matrix dataclass Incidence list struct Red–black tree AVL tree memoryview Trie sort slice dict list Logical operators: not, and, or Bitwise operators:<<, >>, &, |, ~, ^ set bisect sorted Basic math frozenset set Hash collisions defaultdict dict Counter array Queue Tree Singly linked list Graph deque Base64 bytes bytearray Adjacency matrix range Heap Binary tree namedtuple tuple datetime string list Adjacency list enum B-tree github.com/amaargiru/pyroad Auxiliary topics Python documentation The red topics are for senior developers The yellow topics are for middle developers The green topics are for junior developers Start