Roadmapper - A Roadmap as Code (Rac) python library. Generate professional roadmap diagram using python code.

A curated collection of resources, libraries, tools, and roadmaps to help you go from Python beginner to production-ready developer.`

I am sharing lessons in various Python Libraries from scratch to intermediate including practice sets which were useful into my journey of Data Science.

# Python Developer Roadmap Folks, Here are 10 important things to deep-dive into Python Developer Role! Also, the items are listed in no particular order. You don't need to learn everything listed here, however knowing what you don't know is as important as knowing things. ## **1. Learn the basics** * Basic syntax * Variable and data types * Conditionals * List, Tuples, Sets, Dictionaries * Type Casting, Exception Handling * Functions, Buitlin functions ## **2. Advanced Core Python** * Object Oriented Programming(OOP) * Data Structures and Algorithms * Regular Expressions * Decorators * Lambdas * Modules * Iterators ## **3. Version Control Systems** * Basic Git Usage * Repo Hosting Services(GitHub, GitLab, BitBucket) ## **4. Package Managers** * PyPI * PIP ## **5. Learn Framework(Web Development)** - Synchronous Framework - Django, Flask, Pyramid - Asynchrnous Framework - Tornado, Sanic, aiohttp, gevent ## **6. Desktop Applications** * Tkinter * PyQT * Kivy ## **7. Scraping** - Web scraping is an idea that alludes to the way toward gathering and handling huge information from the web utilizing programming or calculation. Absolutely, scratching information from the web is a significant ability to have in case you’re an information researcher, developer, or somebody who examinations tremendous amounts of information. - Python is a successful web scrapping programming language. Essentially, you don’t have to learn muddled codes in case you’re a Python master who can do numerous information creeping or web-scratching undertakings. Notwithstanding, the three most notable and usually utilized Python systems are Requests, Scrappy, and BeautifulSoup. ## **8. Scripting** - Python is a prearranged language since it utilizes a mediator to interpret and run its code. Also, a Python content can be an order that runs in Rhino, or it very well may be an assortment of capacities that you can import as a library of capacities in different contents. - In web applications, specialists use Python as a “prearranging language.” Because it can computerize a particular arrangement of assignments and further develop execution. Accordingly, designers lean toward Python for building programming applications, internet browser destinations, working framework shells, and a few games. **Python Scripting Tools You Can Implement Easily:** - DevOps: Docker, Kubernetes, Gradle, and so on - Framework Admin ## 9. Artificial Intelligence / Data Science - Shrewd engineers consistently lean toward Python for AI because of its countless advantages. Python’s creative libraries are one of the primary motivations to pick Python for ML or profound learning. Additionally, Python’s information taking care of limits is extraordinary not with standing its speed. - Being exceptionally strong in ML and AI, Python is presently getting more foothold from different enterprises like travel, Fintech, transportation, and medical services. Tools You Can Use For Python Machine Learning: Tensorflow PyTorch Keras Scikit-learn Numpy Pandas ## 10. Ethical Hacking With Python - Ethical hacking is the way toward utilizing complex instruments and strategies to recognize potential dangers and weaknesses in a PC organization. Python, quite possibly the most well-known programming dialect because of its huge number of instruments and libraries, is additionally utilized for moral hacking. - It is so generally utilized by programmers that there are plenty of various assault vectors to consider. Additionally, it just takes little coding information, simplifying it to compose content. - Tools For Python Hacking SQL infusion Meeting seizing Man in the Middle Systems administration IP Adress Double-dealing ###### Python is a programming language that has acquired prominence and is sought after. Additionally, Python developer’s interest has soar today, requiring information science with Python preparation. Thus, on the off chance that you have the chance to participate in element-related graphs and appreciate experience altogether, this work makes you fortunate in this field of programming. ###### To close this Python developer roadmap empowers an develoepr to prevail in Python programming on the off chance that you achieve the information and an essential comprehension of the field.

A python utility library for geometrical queries on continuous road network spaces. Includes a O(n log n) algorithm (fastest possible) for matching two sets of points placed in a roadmap, using a modified algorithm for minimum cost flows on networks with convex costs on edges.

Python API client library for Roadmap

customer_sales_data_analysis with python library and roadmap pdf for tha python pandas

A beginner-friendly roadmap to mastering data analytics, covering Python, SQL, Excel, Power BI, and popular libraries with practical examples and resources.

A structured, project-based roadmap to go from beginner to job-ready ML practitioner using Python’s Scikit-Learn library.

A comprehensive roadmap and collection of resources for mastering Data Analysis using Python. Includes hands-on tutorials for NumPy, Pandas, visualization libraries, and real-world projects.

This focuses more on a complete roadmap to ML in python. Touches a bit of EDA using pandas , visualization using seaborn and other python libraries, regression, classification, clustering, NLP, Deepl learning, hyperparameter tuning and ML Deployment

My roadmap in Python web scraping with use popular libraries.

🐍 Python Top 1% Roadmap A curated, structured roadmap to master Python like a top 1% developer. From core syntax to advanced internals, design patterns, problem solving, real-world libraries, and deployment—this roadmap guides you through everything you need to become an expert Pythonista.

A comprehensive, beginner-to-advanced curated roadmap of free resources, tutorials, and books to master Python programming — including modern libraries, classic foundations, and real-world projects

Personal challenge: Python from zero to advanced, step by step. No fixed schedule. Basics → core libraries → Data Science, Data Analytics, ML & AI. Create your own roadmap.

This Kaggle notebook serves as a roadmap for the most powerful python library - PANDAS which is useful for data analysis and data preprocessing

This roadmap will guide you to master Python in 30 days, covering all the essential concepts with clear milestones. You'll learn programming fundamentals, problem-solving, object-oriented concepts, data manipulation, and Python libraries for data science.

This is a repository containing step by step files that I made during learning python-telegram-bot library, I think you can use it as a roadmap :D

Open-source arc flash hazard calculation library in Python. Currently implements IEEE 1584-2018 (208V-15kV, three-phase AC). Roadmap includes single-phase AC, DC systems, and voltages above 15kV.

This Repository serves as a one single place for Roadmap to become a Data Scientist. Starting with Basics of Python to More Advance Libraries including NumPy, Pandas & Matplotlib. It also Covers SQL as a part of Data Analysis module.

This repository serves as a comprehensive guide to learning Machine Learning (ML), covering essential concepts, algorithms, and practical implementations. This structured roadmap will help to grasp fundamental ML techniques using Python and popular libraries like Scikit-Learn, TensorFlow, and NumPy.

From Code to Knowledge: A Roadmap to Master Machine Learning guides you from Python basics to advanced machine learning techniques. Covering essential libraries, algorithms, deep learning, and model deployment, this book provides practical examples and projects for mastering machine learning from scratch.

The provided source outlines an intensive one-week roadmap designed to rapidly build expertise for an AI Engineer role specifically focused on financial modeling. The plan sequentially guides the learner through necessary foundations, starting with reviewing Python libraries like NumPy and Pandas, and installing key machine and deep learning.

Developed a Python recommendation engine using Scikit-Learn to personalize educational discovery. By implementing TF-IDF and Cosine Similarity, the system matches user goals with a curated library of MOOCs and textbooks. It features a Flask web interface that weights difficulty and ratings to generate real-time, suitability-ranked study roadmaps.

This website is an all-in-one coding career roadmap and open learning library designed to guide learners from beginner to advanced levels across multiple fields like Python, Web Development, Java, C++, AI/ML, and Cybersecurity. Each career path is broken into clear steps, topics, and explanations, with recommended free books, for the coding.

8 process steps to get yourself involved in AI revolution: Research improvements to machine learning & apply to new domains like financial services & IOT security; Learn GitHub shared, version control tool; Find existing Google, shared, open-source project, GitHub.org to start out in; Support Google AI engineers anyway you can (focus on systems design); Learn Python 3.0 (IDE interpreter for windows, included in Linux); Learn Google tensorflow library; Refresh roadmap based on what you learned from past steps

DE Stuff - Programming & DSA in Python Distrubuted computation & storage -Hadoop - imp - spark,spark sql file format - json,avro,parquet type of data - structiured & semi sturectured processing mechniasm - batch & real time pub sub -kafka or AWS Kinesis data warehuse desginng amazon - ecomerce, netflix sql complex transactional & no sql databases - key value ,document,columanr base,graph base db,-mongodb,caseendra,hbase - data visualization tools- ETL tools cloud services- experience 🔥𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀🔥 🔴 Data Engineer Roadmap Document : ➡️https://docs.google.com/document/d/1g...​ 🔴 Python : ➡️ https://www.youtube.com/watch?v=_uQrJ...​ ➡️ https://www.programiz.com/python-prog...​ 🔴 Scala : ➡️ https://www.youtube.com/watch?v=LQVDJ...​ ➡️ http://allaboutscala.com/​ 🔴 Java : ➡️ https://www.youtube.com/watch?v=eIrMb...​ ➡️ https://beginnersbook.com/java-tutori...​ 🔴 Linux, Unix, Shell Scripting : ➡️ https://practice.geeksforgeeks.org/ba...​ ➡️ Above one is free course with invitation code - ELEARNINGBLINUX 🔴 Data Structures & Algorithms : ➡️ https://www.youtube.com/watch?v=5_5oE...​ ➡️ https://www.geeksforgeeks.org/​ ➡️ https://leetcode.com/​ 🔴 DBMS : ➡️ https://www.youtube.com/watch?v=kBdlM...​ ➡️ https://www.studytonight.com/dbms/​ 🔴 SQL Scripting : ➡️ https://www.youtube.com/watch?v=HXV3z...​ ➡️ https://www.youtube.com/watch?v=7S_tz...​ ➡️ https://www.w3schools.com/sql/​ 🔴 Basic Terminologies In BigData : ➡️ https://data-flair.training/blogs/wha...​ ➡️ https://www.edureka.co/blog/what-is-b...​ 🔴 Data Exploration Libraries : ➡️ Pandas - https://www.youtube.com/watch?v=UB3DE...​ ➡️ NumPy - https://www.youtube.com/watch?v=DI8wg...​ 🔴 Data Warehousing Concepts : ➡️ https://www.youtube.com/watch?v=J326L...​ ➡️https://www.tutorialspoint.com/dwh/dw...​. 🔴 BigData Frameworks (Hadoop, Hive, Spark, Sqoop, Nifi, Flume) : ➡️ https://www.youtube.com/results?searc...​ ➡️ https://www.youtube.com/user/edurekaIN​ ➡️ https://data-flair.training/​ ➡️ https://www.edureka.co/​ 🔴 Workflow Schedulers, Dependency Management : ➡️ https://www.youtube.com/watch?v=niJ06...​ ➡️ https://www.youtube.com/watch?v=6RebQ...​ 🔴 NoSQL Databases : ➡️ HBase - https://www.youtube.com/watch?v=NOX6-...​ ➡️ Cassandra - https://www.youtube.com/watch?v=iDhIj...​ ➡️ Elastic Search - https://www.youtube.com/watch?v=1Envk...​ ➡️ MongoDB - https://www.youtube.com/watch?v=pWbMr...​ 🔴 Apache Kafka : ➡️ https://www.youtube.com/watch?v=daRyk...​ 🔴 Dashboarding Tools : ➡️ Tableau - https://www.youtube.com/watch?v=aHaOI...​ ➡️ PowerBI - https://www.youtube.com/watch?v=3u7MQ...​ ➡️ Grafana - https://www.youtube.com/watch?v=CjABE...​ ➡️ Kibana - https://www.youtube.com/watch?v=gQ1c1...​ 🔴 BigData Services in Cloud (AWS) : ➡️ https://www.youtube.com/watch?v=k1RI5...​ ➡️ https://www.youtube.com/watch?v=8PyLr...​ ➡️ https://www.simplilearn.com/aws-big-d...​ 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝘁𝗼𝗽𝗶𝗰𝘀 𝗶𝗻 𝗦𝗤𝗟 : 📌 Joins 📌 Group By 📌 Nested joins 📌 Case-When conditions 📌 Window functions 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹𝘁𝗶𝗺𝗲 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 : 📌 Apache Kafka 📌 Apache Flink 📌 Apache Storm 📌 AWS Kinesis 📌 Spark Streaming 𝗕𝗶𝗴𝗗𝗮𝘁𝗮 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 𝗮𝗻𝗱 𝗛𝗮𝗱𝗼𝗼𝗽 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 : 📌 Hadoop architecture, Map-Reduce, HDFS, Yarn 📌 Apache Spark 📌 Hive 📌 Flume 📌 Sqoop 📌 Zookeeper 📌 Ambari, Hue 📌 Oozie, Airflow, Azkaban 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀 : 📌 Tableau 📌 Power BI 📌 Qlik Sense 📌 Grafana 📌 Kibana 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 : 📌 Amazon Aurora 📌 PostgreSQL 📌 MySQL 📌 MariaDB 📌 Oracle 📌 SQL Server 𝗡𝗼-𝗦𝗤𝗟 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 : 📌 DynamoDB 📌 Cassandra 📌 MongoDB 📌 ElasticSearch 📌 HBase 📌 Couchbase 📌 Redis Book - Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python 2nd Edition,