pythoncode:astro_code

• return back

dirslist:

• .ipynb_checkpoints

files_list:

ipynb_list:

• 16radio_vla_learn_note.ipynb
• 2019shanghai_radio_transient.ipynb
• 2021guangzhou_summer_school.ipynb
• Analyzing UVES Spectroscopy with Astropy.ipynb
• arXiv_analysis_by_Tim Head.ipynb
• arxiv_checkerdaily.ipynb
• arxiv_new_submission_search_and_download.ipynb
• arxiv_word_frequency_statistical_analysis.ipynb
• astro_BlackBody.ipynb
• astro_convolution_gauss_Lorentz.ipynb
• astro_cosmology.ipynb
• astro_fits.ipynb
• astro_huiyi_img.jpg.ipynb
• astro_image.ipynb
• astro_model_fit.ipynb
• astro_nova_fit_mashuaibing_data.ipynb
• astro_pyds9.ipynb
• astro_query Astroquery - The paper.ipynb
• astro_redshift.ipynb
• astro_spectum.ipynb
• astro_Table.ipynb
• astro_time.ipynb
• astro_visualization.ipynb
• astro_vo.ipynb
• astro_wcs.ipynb
• astro_xml.ipynb
• astroLombScargle.ipynb
• astromatic_wrapper.ipynb
• bayes_monte_carlo.ipynb
• Bfraction.ipynb
• BH_mass_distribution_Gaussian.ipynb
• binaryBHexp_GWpy.ipynb
• blazars_parse_year_month_day.ipynb
• bmcmc_sanjibs.ipynb
• casa_pipeline_.ipynb
• chandra.time.ipynb
• chandra_list_vot_xml.ipynb
• constant_phy.ipynb
• deep learning.ipynb
• disk_LT_precess_code_c_note.ipynb
• dynamic_power_spectrum_plotly.ipynb
• Dynamical_Power_Spectra_Stingray.ipynb
• dynesty.ipynb
• einsum.ipynb
• fermi_wise_variable_sources.ipynb
• fermipy.ipynb
• flux_opt_estimation.ipynb
• fundamental_agn.ipynb
• fundamental_fixaccretionrate.ipynb
• fundamental_linear.ipynb
• fundamental_pandas.ipynb
• GetlistofwikiwithFIRST SURVEY.ipynb
• GR_lecture_note.ipynb
• gti_check.ipynb
• gwpy2_pycbc2.ipynb
• hardnessratio_flux.ipynb
• hxmt_data_reduction.ipynb
• hxmt_getTable_html.ipynb
• inflation_constroll.ipynb
• init_source.ipynb
• Irsa_wise_astroquery.ipynb
• learn_casa.ipynb
• lensingGW_py.ipynb
• linmix_kelly_2007_linear_fit.ipynb
• Lomb-Scargle_periodogram_astroML.ipynb
• lomb_scargle_method.ipynb
• NED_name_redshift_search.ipynb
• plot_aplpy.ipynb
• plot_counts.ipynb
• plot_linear_fit_with_errorbar_1_sigma_fill_region.ipynb
• Powerdensityspectrum.ipynb
• precession_GWpy.ipynb
• py3ads_adstex_arxiv.ipynb
• py3downloadarxivpdf.ipynb
• py3scrapy.ipynb
• py_gwpy.ipynb
• py_linear_fit_with_error_in_both_axis.ipynb
• pyads.ipynb
• pyBH_accretion_disk.ipynb
• pycbc.ipynb
• pycbc_shizhihong.ipynb
• pycbcpy2.ipynb
• PyCourse-fits.ipynb
• pyimfit.ipynb
• pyimfit_emcee.ipynb
• pyLag.ipynb
• pymc_mcmc.ipynb
• pymc_parameter_limitation.ipynb
• pymcmc_linearfit_with_outlier_emcee.ipynb
• pyraf.ipynb
• pyregion.ipynb
• pythondatascience.ipynb
• scipy.signal.periodogram.ipynb
• sep_sextractor.ipynb
• slim_disk.ipynb
• Swarp_intelligence_methods_for_statistical_regression.ipynb
• Total_power_method.ipynb
• uncertainty_lombscargle.ipynb
• wget_.ipynb
• Xspec.ipynb
• youngradio.ipynb
• 吸积盘理论笔记.ipynb
• 如何用python重复一篇Nature子刊观测数据的部分结果.ipynb