Python. Pandas Π½Π° ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅
ΠΠ±Π·ΠΎΡ
ΠΡΠ° ΠΊΠ½ΠΈΠ³Π° ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅Ρ 200 ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΏΡΠ°ΠΆΠ½Π΅Π½ΠΈΠΉ Π΄Π»Ρ ΠΎΡΠ²ΠΎΠ΅Π½ΠΈΡ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ pandas Π² Python. ΠΠ½Π° Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π° Π½Π° Π°Π½Π°Π»ΠΈΠ·, ΠΎΡΠΈΡΡΠΊΡ, ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΠΌΠ°Π½ΠΈΠΏΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π΄Π°Π½Π½ΡΠΌΠΈ, Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡΠΌΠΈ ΠΈ ΠΏΠΎΡΡΠ½Π΅Π½ΠΈΡΠΌΠΈ ΠΎΡ ΡΠΊΡΠΏΠ΅ΡΡΠ° Π Π΅ΡΠ²Π΅Π½Π° ΠΠ΅ΡΠ½Π΅ΡΠ°. Π£ΠΏΡΠ°ΠΆΠ½Π΅Π½ΠΈΡ ΠΎΡΠ½ΠΎΠ²Π°Π½Ρ Π½Π° ΡΠ΅Π°Π»ΡΠ½ΡΡ
Π½Π°Π±ΠΎΡΠ°Ρ
Π΄Π°Π½Π½ΡΡ
, ΠΎΡ
Π²Π°ΡΡΠ²Π°ΡΡΠΈΡ
Π·Π°Π³ΡΡΠ·ΠΊΡ, ΠΎΡΠΈΡΡΠΊΡ, Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ ΠΈ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΡ. Π¦Π΅Π»Ρ β Π²ΡΠ²Π΅ΡΡΠΈ Π²Π°Ρ ΡΡΠΎΠ²Π΅Π½Ρ Π²Π»Π°Π΄Π΅Π½ΠΈΡ pandas Π½Π° Π½ΠΎΠ²ΡΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠ΅ΡΠ΅Π· ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΡΡ ΠΏΡΠ°ΠΊΡΠΈΠΊΡ.
ΠΠΎΠΌΡ ΠΏΠΎΠ΄ΠΎΠΉΠ΄ΡΡ
- Π‘ΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΡ ΠΏΠΎ Π°Π½Π°Π»ΠΈΠ·Ρ Π΄Π°Π½Π½ΡΡ
- Π Π°Π·ΡΠ°Π±ΠΎΡΡΠΈΠΊΠΈ Python
- ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΠΈ Π΄Π°Π½Π½ΡΡ
- Π‘ΡΡΠ΄Π΅Π½ΡΡ, ΠΈΠ·ΡΡΠ°ΡΡΠΈΠ΅ Π°Π½Π°Π»ΠΈΠ· Π΄Π°Π½Π½ΡΡ
- ΠΡΠ΅, ΠΊΡΠΎ Ρ
ΠΎΡΠ΅Ρ ΡΠ²Π΅ΡΠ΅Π½Π½ΠΎ ΡΠ°Π±ΠΎΡΠ°ΡΡ Ρ Π΄Π°Π½Π½ΡΠΌΠΈ Π² Python
ΠΠ»ΡΡΠ΅Π²ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ
- 200 ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΏΡΠ°ΠΆΠ½Π΅Π½ΠΈΠΉ ΠΏΠΎ ΡΠ°Π±ΠΎΡΠ΅ Ρ Π΄Π°Π½Π½ΡΠΌΠΈ Π² Python.
- Π Π΅ΡΠ΅Π½ΠΈΡ ΠΈ ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΡΠ΅ ΠΏΠΎΡΡΠ½Π΅Π½ΠΈΡ ΠΎΡ ΡΠΊΡΠΏΠ΅ΡΡΠ° Π Π΅ΡΠ²Π΅Π½Π° ΠΠ΅ΡΠ½Π΅ΡΠ°.
- ΠΡΠ½ΠΎΠ²Π°Π½ΠΎ Π½Π° ΡΠ΅Π°Π»ΡΠ½ΡΡ
Π½Π°Π±ΠΎΡΠ°Ρ
Π΄Π°Π½Π½ΡΡ
, ΠΎΡ
Π²Π°ΡΡΠ²Π°ΡΡΠΈΡ
ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ ΡΡΠ΅Π½Π°ΡΠΈΠΈ.
- ΠΡΠΎΠ±ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡΠ΄Π΅Π»Π΅Π½ΠΎ Π·Π°Π³ΡΡΠ·ΠΊΠ΅, ΠΎΡΠΈΡΡΠΊΠ΅, Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΈ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π΄Π°Π½Π½ΡΡ
.
- Π’Π²Π΅ΡΠ΄Π°Ρ ΠΎΠ±Π»ΠΎΠΆΠΊΠ°, 552 ΡΡΡΠ°Π½ΠΈΡΡ, ΠΈΠ·Π΄Π°Π½ΠΈΠ΅ 2025 Π³ΠΎΠ΄Π°.
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Python. Pandas in Practice
Overview
This book provides 200 practical exercises for mastering the pandas library in Python. It focuses on data analysis, cleaning, exploration, and manipulation, featuring solutions and explanations from expert Reuven Lerner. Exercises use real-world datasets, covering data loading, cleaning, visualization, and optimization. The aim is to significantly enhance your pandas skills through hands-on practice.
Who it's for
- Data analysis specialists
- Python developers
- Data researchers
- Students learning data analysis
- Anyone looking to confidently work with data in Python
Key features
- 200 practical exercises for data manipulation in Python.
- Solutions and detailed explanations provided by expert Reuven Lerner.
- Based on real-world datasets covering diverse scenarios.
- Focuses on data loading, cleaning, visualization, and optimization techniques.
- Hardcover, 552 pages, 2025 edition.