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Coding Free Books | Python | AI

Coding Free Books | Python | AI

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Best Channel for Programmers and Hackers All in one channel to learn ๐Ÿ‘‡ 1. Python 2. Ethical Hacking 3. Java 4. App development 5. Machine learning 6. Data structures 7. Algorithms Promotions: @coderfun

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๐Ÿ“ˆ Telegram kanali Coding Free Books | Python | AI analitikasi

Coding Free Books | Python | AI (@codingwithsagar) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 30 887 obunachidan iborat bo'lib, Taสผlim toifasida 6 255-o'rinni va Hindiston mintaqasida 13 646-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 30 887 obunachiga ega boโ€˜ldi.

20 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 155 ga, soโ€˜nggi 24 soatda esa -7 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 3.69% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 1 139 marta koโ€˜riladi; birinchi sutkada odatda 0 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 4 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent learning, link:-, css, algorithm, sql kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œBest Channel for Programmers and Hackers All in one channel to learn ๐Ÿ‘‡ 1. Python 2. Ethical Hacking 3. Java 4. App development 5. Machine learning 6. Data structures 7. Algorithms Promotions: @coderfunโ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 21 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taสผlim toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

30 887
Obunachilar
-724 soatlar
-27 kunlar
+15530 kunlar
Postlar arxiv
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฌ๐—ผ๐˜‚๐—ง๐˜‚๐—ฏ๐—ฒ ๐—ฉ๐—ถ๐—ฑ๐—ฒ๐—ผ๐˜€!๐Ÿ˜ Want to become a Data An
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+3
DeepLearning Notes

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The Art of Modern PHP 8 (Joseph Edmonds, 2021).pdf6.09 MB

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+4
30 Python libraries .pdf Share it: https://t.me/pythonanalyst

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Complete Syllabus for Data Analytics interview: SQL: 1. Basic    - SELECT statements with WHERE, ORDER BY, GROUP BY, HAVING    - Basic JOINS (INNER, LEFT, RIGHT, FULL)    - Creating and using simple databases and tables 2. Intermediate    - Aggregate functions (COUNT, SUM, AVG, MAX, MIN)    - Subqueries and nested queries - Common Table Expressions (WITH clause)    - CASE statements for conditional logic in queries 3. Advanced    - Advanced JOIN techniques (self-join, non-equi join)    - Window functions (OVER, PARTITION BY, ROW_NUMBER, RANK, DENSE_RANK, lead, lag)    - optimization with indexing    - Data manipulation (INSERT, UPDATE, DELETE) Python: 1. Basic    - Syntax, variables, data types (integers, floats, strings, booleans)    - Control structures (if-else, for and while loops)    - Basic data structures (lists, dictionaries, sets, tuples)    - Functions, lambda functions, error handling (try-except)    - Modules and packages 2. Pandas & Numpy    - Creating and manipulating DataFrames and Series    - Indexing, selecting, and filtering data    - Handling missing data (fillna, dropna)    - Data aggregation with groupby, summarizing data    - Merging, joining, and concatenating datasets 3. Basic Visualization    - Basic plotting with Matplotlib (line plots, bar plots, histograms)    - Visualization with Seaborn (scatter plots, box plots, pair plots)    - Customizing plots (sizes, labels, legends, color palettes)    - Introduction to interactive visualizations (e.g., Plotly) Excel: 1. Basic    - Cell operations, basic formulas (SUMIFS, COUNTIFS, AVERAGEIFS, IF, AND, OR, NOT & Nested Functions etc.)    - Introduction to charts and basic data visualization    - Data sorting and filtering    - Conditional formatting 2. Intermediate    - Advanced formulas (V/XLOOKUP, INDEX-MATCH, nested IF)    - PivotTables and PivotCharts for summarizing data    - Data validation tools    - What-if analysis tools (Data Tables, Goal Seek) 3. Advanced    - Array formulas and advanced functions    - Data Model & Power Pivot - Advanced Filter - Slicers and Timelines in Pivot Tables    - Dynamic charts and interactive dashboards Power BI: 1. Data Modeling    - Importing data from various sources    - Creating and managing relationships between different datasets    - Data modeling basics (star schema, snowflake schema) 2. Data Transformation    - Using Power Query for data cleaning and transformation    - Advanced data shaping techniques    - Calculated columns and measures using DAX 3. Data Visualization and Reporting   - Creating interactive reports and dashboards    - Visualizations (bar, line, pie charts, maps)    - Publishing and sharing reports, scheduling data refreshes Statistics Fundamentals: Mean, Median, Mode, Standard Deviation, Variance, Probability Distributions, Hypothesis Testing, P-values, Confidence Intervals, Correlation, Simple Linear Regression, Normal Distribution, Binomial Distribution, Poisson Distribution. Like for more ๐Ÿ˜„โค๏ธ Python WhatsApp Community: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L

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