Chapter 4_ Working With Dates And Categorical Data
A comprehensive guide on handling dates, times, resampling, categorical data types, and encoding strategies in pandas.
Articles by Achraf Salimi
Chapter 3_ Data Cleaning
A comprehensive guide on handling missing data, data type constraints, uniformity, cross-field validation, and text data problems.
Chapter 2_ Feature engineering, Transformation & Accessors
Learn about conditional transformations, binning, mapping, applying logic, vectorization, scaling, encoding, and using accessors.
Chapter 1_ Data manipulation & Essentials
A guide on creating and exporting DataFrames, inspecting data, broadcasting, sorting, subsetting, and computing summary statistics.
Chapter 0_ Introduction to pandas
An introduction to Pandas, NumPy, and Matplotlib, and working with DataFrames and Series.
Introduction to NumPy
A comprehensive guide to NumPy, covering array creation, indexing, slicing, data types, and essential array operations for efficient numerical computing in Python.
Chapter 14_API Requests
Fetching data from APIs using the Requests library and parsing JSON responses.
Chapter 13_VirtualEnv
Creating and managing isolated Python environments using venv for dependency management.
Chapter 12_Multithreading
Understanding concurrency in Python, the Global Interpreter Lock (GIL), and using the threading module.
Chapter 11_File Handling
Reading and writing files, file modes, context managers, and object serialization with Pickle.
Chapter 10_OOP
Object-Oriented Programming principles: Classes, Objects, Inheritance, Polymorphism, Encapsulation, and Magic Methods.
Chapter 9_Errors & Modules
Handling errors with try/except/finally, creating custom exceptions, and structuring code with Modules and Packages.
Chapter 8_Network Programming
Introduction to network programming with Sockets, HTTP requests, urllib, Requests library, and BeautifulSoup.
Chapter 7_Standard Libraries
Exploring essential Python standard libraries: Math, Random, Datetime (Timezones), and Regular Expressions (Re).
Chapter 6_Functions, Decorators & Context Managers
Defining functions, handling arguments (*args, **kwargs), scope (LEGB), decorators, and context managers.
Chapter 5_Control Flow & Iteration
Mastering control flow with conditional statements, loops (while, for), iterators, and generators.
Chapter 4_Built-in Functions
A comprehensive reference of Python's built-in functions for I/O, type conversion, math, iteration, and more.
Chapter 3_Collections
Deep dive into Python collections: Lists, Tuples, Sets, and Dictionaries.
Chapter 2_Core Data Types
Master Python's core data types including Strings and Booleans, and explore the full range of operators from arithmetic to advanced asterisk (*) unpacking.
Chapter 1_Core Language Semantics
A comprehensive guide to Python's core semantics, covering input/output operations, variable assignment, data types, scope rules (LEGB), and slicing.
Welcome to My Portfolio
A brief introduction to my work and what you can expect to find here.