Data Science & Developer Roadmaps with Chat & Free Learning Resources

New learning resources

3 Python Scripts That Pull Cool Stuff From the Web (That You’ll Actually Use)

 Python in Plain English

Each one is built around a real-world problem Continue reading on Python in Plain English

Read more at Python in Plain English | Find similar documents

7 Python Tools That Help Me Create, Write, and Grow on Autopilot

 Python in Plain English

Not lack of ideas. Not motivation. Not even the algorithm Continue reading on Python in Plain English

Read more at Python in Plain English | Find similar documents

Redis + Python: Instant Caching Without Complexity

 Python in Plain English

I had shared my experience with Redis… don’t miss this out!!! Continue reading on Python in Plain English

Read more at Python in Plain English | Find similar documents

Learn Python

▶️ Basic Functions
Syntax | Variables | Conditions | Data Types | Numbers | Strings | Formatting | Operators | Generators | Decorators | Functions | Lists | Tuples | Sets | Dictionaries | Parameters | Arguments | Arrays | Linked Lists | Hash Tables | Binary Search Trees | Recursion | Sorting Algorithms | Exception Handling | Serialization 

🚀 Advanced Functions
RegEx | Decorators | Lambdas | Iterators | Classes | Inheritance | Methods | List Comprehensions | Generator Expressions | PyPi | PIP | Conda

💠 Frameworks
Django | Flask | CherryPy | Bottle | Dash | | PyTest | Scrapy | PyScript

🗂 Libraries
TensorFlow | Scikit-Learn | Numpy | Keras | PyTorch | SciPy | Pandas | Theano | Seaborn | OpenCV | Bokeh | Matplotlib | Plotly | BeautifulSoup | SymPy | Pillow

🧰 Other Tools
Selenium | PyCharm | PyTest | Jupyter Notebook | FakerPyGame | Tkinter 

 

Learn Data Science

▶️ Basics
Linear Algebra | Databases | Tabular Data | Time Series | Extract, Transform, Load | Data Formats | Regular Expressions | Important libraries |

💻 Programming languages for Data Science
SQL | R | Python

🐍 Python for Data Science
Syntax | Variables | Data Types | Functions | Numbers | Operators | Important libraries

🔁 Data Sources
Data Mining | Web scraping | Public Data Sets

📊 Exploratory Data Analysis
Principal Component Analysis | Dimensionality Reduction | Normalization | Data Cleaning | Estimators | Feature Extraction | Sampling

🔢 Statistics
Probability Theory | Continuous Distribution | Summary Statistics | Estimation | Hypothesis Testing | Confidence Interval | Monte Carlo Methods

📈 Data Visualization + tools
Storytelling | Charts | Dashboards | Power BI | Tableau | R | Dash | Seaborn | Matplotlib | Bokeh | Plotly

 

Learn Machine Learning

Learn Deep Learning