Python for Scientific Computing Roadmap
Stage 1 – Learn Python (Syntax, OOP)
Stage 2 – Use NumPy and SciPy for Mathematical Computing
Stage 3 – Work with Matplotlib for Data Visualization
Stage 4 – Statistical Analysis (Pandas, Statsmodels)
Stage 5 – Use SymPy for Symbolic Mathematics
Stage 6 – Simulate Models (ODE, PDE)
Stage 7 – Learn Jupyter for Scientific Workflows
Stage 8 – Perform Optimization and Numerical Solvers
🏆 – Python Scientific Developer
Stage 1 – Learn Python (Syntax, OOP)
Stage 2 – Use NumPy and SciPy for Mathematical Computing
Stage 3 – Work with Matplotlib for Data Visualization
Stage 4 – Statistical Analysis (Pandas, Statsmodels)
Stage 5 – Use SymPy for Symbolic Mathematics
Stage 6 – Simulate Models (ODE, PDE)
Stage 7 – Learn Jupyter for Scientific Workflows
Stage 8 – Perform Optimization and Numerical Solvers
🏆 – Python Scientific Developer
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Practice Exercises
Exercise 1: Word Count
Exercise 2: File Copying
Exercise 3: Reverse Content
Exercise 4: Binary File Handling
Exercise 5: Character Frequency
Exercise 1: Word Count
Write a Python program to count the number of words in a text file.
Exercise 2: File Copying
Write a Python program that copies the contents of one file into another file.
Exercise 3: Reverse Content
Write a Python program that reads the content of a file and writes it to a new file in reverse order
Exercise 4: Binary File Handling
Write a Python program that opens a binary file (such as an image) and creates a copy of it.
Exercise 5: Character Frequency
Write a Python program that reads a text file and counts the frequency of each character in the file.
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Data Analysts Group: 👇
https://news.1rj.ru/str/DataAnalystsGroup
Hope it helps :)
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